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Setting up Team-Based Care Coordination for Chronic Pain Management (CPM) Patients

Chronic pain affects millions of Americans, creating a complex healthcare challenge that requires coordinated, multidisciplinary approaches to achieve optimal patient outcomes. As healthcare systems evolve toward value-based care models, establishing effective team-based care coordination for chronic pain management has become not just beneficial, but essential for both patient wellbeing and organizational success.

The Scale of the Challenge: Understanding Chronic Pain in Healthcare

Chronic pain represents one of the most prevalent and costly health conditions in the United States. The scope of this challenge becomes particularly evident when examining Medicare beneficiary data. According to the Centers for Medicare and Medicaid Services (CMS), 36% of Medicare beneficiaries living in the community experienced chronic pain in 2022. Perhaps even more telling is that approximately 91% of these beneficiaries experienced chronic pain in multiple locations throughout their bodies.

The most common pain locations among Medicare beneficiaries include hips, knees, or feet (87%), back pain (86%), and hands, arms, or shoulders (76%). This multi-site pain pattern underscores why chronic pain management requires comprehensive, coordinated care approaches rather than isolated treatment strategies.

The economic implications are equally staggering. The chronic pain management market is projected to reach $115.51 billion by 2031, with an anticipated compound annual growth rate (CAGR) of 7% during the forecast period 2024-2031. This growth reflects both the increasing prevalence of chronic pain conditions and the expanding therapeutic options available to patients.

The Evolution of Medicare Coverage for Chronic Pain Management

Recognizing the complexity and resource intensity of chronic pain management, CMS introduced significant changes to coverage and payment structures. In January 2023, Medicare implemented new chronic pain management (CPM) bundled payment codes, reflecting the agency’s commitment to improving care experiences for individuals with chronic pain while more appropriately compensating providers for the comprehensive services required.

These new payment models acknowledge that effective chronic pain management involves far more than traditional episodic care. They recognize the time and resources needed for comprehensive assessment, care planning, patient education, care coordination, and ongoing monitoring that characterizes best-practice chronic pain management.

Core Components of Team-Based Care Coordination

1. Multidisciplinary Team Formation

Effective chronic pain management requires assembling a diverse team of healthcare professionals, each bringing specialized expertise to address different aspects of the patient’s condition. The core team typically includes:

Primary Care Physician or Pain Management Specialist: Serves as the medical leader, responsible for overall treatment strategy, medication management, and coordination with other specialists.

Nursing Care Coordinator: Acts as the patient’s primary point of contact, managing day-to-day care coordination, patient education, and communication between team members.

Physical Therapist: Develops and implements movement-based interventions to improve function, reduce pain, and prevent further injury.

Behavioral Health Specialist: Addresses the psychological components of chronic pain, including depression, anxiety, and pain-related behaviors through counseling and cognitive-behavioral therapy.

Pharmacist: Provides expertise in medication optimization, drug interactions, and patient education about pain medications and their alternatives.

Social Worker: Addresses social determinants of health, coordinates community resources, and assists with insurance and disability-related issues.

Additional Specialists: Depending on the patient’s specific conditions, the team may include occupational therapists, nutritionists, pain psychologists, or medical specialists such as rheumatologists or neurologists.

2. Standardized Assessment and Care Planning

Team-based care coordination begins with comprehensive, standardized assessment protocols. These assessments should evaluate not only pain intensity and location but also functional status, psychological wellbeing, social support systems, and previous treatment responses. The team must develop individualized care plans that address the biopsychosocial aspects of chronic pain while setting realistic, measurable goals.

Care planning should be collaborative, involving the patient as an active participant in goal-setting and treatment decisions. Regular team meetings ensure all providers are aligned on treatment objectives and can adjust interventions based on patient progress and changing needs.

3. Communication Infrastructure and Care Transitions

Seamless communication among team members is critical for successful coordination. This requires establishing clear communication protocols, including:

  • Regular interdisciplinary team meetings to discuss patient progress and adjust care plans
  • Standardized documentation systems that all team members can access and update
  • Clear protocols for urgent communications and crisis situations
  • Systematic handoff procedures when patients transition between providers or care settings

4. Patient Education and Self-Management Support

Effective chronic pain management relies heavily on patient engagement and self-management capabilities. The care team must provide comprehensive education about pain mechanisms, treatment options, self-care strategies, and realistic expectations for improvement. This education should be reinforced consistently across all team interactions and tailored to individual patient learning styles and preferences.

Implementation Strategies for Healthcare Organizations

Workflow Design and Process Standardization

Successfully implementing team-based care coordination requires careful attention to workflow design. Organizations must map existing processes, identify inefficiencies, and redesign workflows to support coordinated care delivery. This includes developing standardized protocols for patient intake, assessment, care planning, monitoring, and care transitions.

Key workflow considerations include:

  • Establishing clear roles and responsibilities for each team member
  • Creating efficient scheduling systems that accommodate multiple provider interactions
  • Developing documentation templates that capture relevant information for all team members
  • Implementing quality metrics and monitoring systems to track coordination effectiveness

Technology Infrastructure and Integration

Modern chronic pain management coordination relies heavily on robust technology infrastructure. Electronic health record (EHR) systems must be configured to support team-based care, including shared care plans, communication tools, and integrated documentation. Many organizations find that specialized care coordination platforms can enhance their existing EHR capabilities by providing dedicated tools for team communication, patient tracking, and outcome monitoring.

Staff Training and Culture Change

Implementing team-based care requires significant culture change within healthcare organizations. Staff members must shift from traditional provider-centric models to patient-centered, collaborative approaches. This transformation requires comprehensive training programs that address not only clinical protocols but also communication skills, conflict resolution, and collaborative decision-making.

Training programs should include:

  • Interdisciplinary competency development
  • Communication and collaboration skills
  • Technology platform utilization
  • Quality improvement methodologies
  • Patient engagement techniques

Measuring Success: Key Performance Indicators

Effective team-based care coordination programs require robust measurement systems to track progress and identify areas for improvement. Key performance indicators should include both clinical outcomes and process measures:

Clinical Outcomes:

  • Pain intensity scores and functional status improvements
  • Medication adherence and optimization
  • Emergency department utilization and hospitalization rates
  • Patient satisfaction and quality of life measures
  • Achievement of individualized care plan goals

Process Measures:

  • Care plan completion rates and timeliness
  • Team communication frequency and effectiveness
  • Patient engagement in self-management activities
  • Care transition smoothness and safety
  • Provider satisfaction with coordination processes

Leveraging Technology for Enhanced Coordination

Modern chronic pain management increasingly relies on sophisticated technology platforms to support team-based care coordination. Digital health solutions can significantly enhance communication, streamline workflows, and improve patient engagement. The HealthViewX Chronic Pain Management application exemplifies how specialized technology can support comprehensive care coordination efforts.

HealthViewX’s platform provides healthcare organizations with integrated tools for patient assessment, care plan development, team communication, and outcome tracking. The application facilitates seamless information sharing among multidisciplinary team members while providing patients with educational resources and self-management tools. By integrating with existing EHR systems, HealthViewX enables organizations to implement team-based care coordination without disrupting established workflows, while providing the specialized functionality needed for effective chronic pain management.

The platform‘s care coordination features include automated appointment scheduling, medication management tools, and real-time communication capabilities that keep all team members informed about patient status changes. This technological foundation supports the collaborative approach essential for successful chronic pain management while reducing administrative burdens on clinical staff.

Overcoming Common Implementation Challenges

Healthcare organizations implementing team-based care coordination for chronic pain management often encounter predictable challenges. Understanding and preparing for these obstacles can significantly improve implementation success rates.

Financial Sustainability: While team-based care coordination can improve long-term outcomes and reduce costs, initial implementation requires significant investment in staff, training, and technology. Organizations must develop sustainable financial models, often leveraging new Medicare payment codes and value-based care contracts to support these investments.

Provider Buy-in and Culture Change: Moving from autonomous practice models to collaborative care requires significant culture change. Success depends on demonstrating clear benefits to both providers and patients while providing adequate support during the transition period.

Patient Engagement: Chronic pain patients often experience frustration with previous treatment failures and may be skeptical of new approaches. Building trust and engagement requires consistent, empathetic communication and early demonstration of care coordination benefits.

Technology Integration: Implementing new technology platforms while maintaining existing workflows can be challenging. Organizations should prioritize solutions that integrate seamlessly with current systems while providing clear value to end users.

Future Directions and Sustainability

The future of chronic pain management lies in continued evolution toward more integrated, patient-centered approaches. As payment models increasingly reward value over volume, healthcare organizations that successfully implement team-based care coordination will be better positioned for long-term success.

Key trends shaping the future include:

  • Increased integration of behavioral health services into primary care settings
  • Expansion of telehealth capabilities for chronic pain management
  • Greater emphasis on social determinants of health in care planning
  • Development of predictive analytics to identify high-risk patients
  • Integration of patient-generated health data from wearable devices and mobile applications

Conclusion

Setting up effective team-based care coordination for chronic pain management represents both a significant opportunity and a complex undertaking for healthcare organizations. The substantial prevalence of chronic pain among Medicare beneficiaries, combined with new payment models that support comprehensive care approaches, creates a compelling case for investment in coordinated care systems.

Success requires careful attention to team formation, workflow design, technology implementation, and culture change. Organizations that approach this transformation systematically, with appropriate technology support and clear focus on both patient outcomes and provider satisfaction, can achieve significant improvements in care quality while building sustainable operational models.

The integration of specialized platforms like HealthViewX’s Chronic Pain Management application can provide the technological foundation needed to support these complex coordination efforts, enabling healthcare organizations to deliver the comprehensive, collaborative care that chronic pain patients need and deserve.

As healthcare continues evolving toward value-based models, team-based care coordination for chronic pain management will likely transition from innovative practice to standard of care. Organizations that begin this transformation now will be best positioned to meet the growing needs of chronic pain patients while achieving sustainable financial and clinical outcomes.

Medicare Chronic Pain Management (CPM) Program: Reimbursement Codes and Billing Criteria

Chronic pain affects more than function, it drives avoidable ED visits, polypharmacy, and fragmented care. To address this, Medicare created the Chronic Pain Management (CPM) service beginning in 2023, with monthly reimbursement for structured, team-based management of chronic pain.

Below you’ll find the exact codes, required elements, billing rules (including what you can bill with CPM in the same month), documentation tips, and an operations checklist. We’ll close with a practical playbook for maximizing reimbursement and outcomes using the HealthViewX Chronic Pain Management Application.

What counts as “chronic pain” for Medicare?

Medicare defines chronic pain as persistent or recurrent pain lasting longer than 3 months. 

The CPM codes (HCPCS) and when to use them

G3002 — Chronic pain management and treatment, monthly bundle (first 30 minutes).
 Covers a comprehensive set of activities (assessment, validated pain scale, person-centered care plan, overall treatment management, coordination with behavioral health, medication management, pain/health-literacy counseling, crisis care as needed, and ongoing communication/care coordination). Time threshold: ≥30 minutes in the calendar month. An initial, face-to-face visit is required to start CPM (see “Initiating visit” below).

G3003 — Each additional 15 minutes (add-on to G3002; may be billed multiple times per month as medically necessary once G3002 is met). Time threshold: ≥15 minutes per increment.

Key frequency rules

  • G3002: once per patient per calendar month.
  • G3003: unlimited billable add-on units in that month when medically necessary and documented.

Who can bill? Physicians and other qualified health care professionals (QHPs) who direct the service and meet incident-to supervision requirements for any clinical staff time counted. (See CMS E/M & CCM guidance for supervisory/“incident-to” rules.) 

Required elements & documentation checklist (what to capture every month)

Medicare’s bundled description for G3002 expects the following to be performed and documented (tailored to medical necessity each month):

  1. Diagnosis, assessment, and monitoring of pain (with a validated pain scale/tool each month you bill).
  2. Person-centered care plan (strengths, goals, clinical needs, desired outcomes) – created/updated/maintained.
  3. Overall treatment management, including medication management (opioid risk/benefit discussion when relevant).
  4. Coordination with behavioral/mental health when indicated.
  5. Pain & health-literacy counseling, self-management support.
  6. Crisis care when needed.
  7. Ongoing communication and care coordination among relevant practitioners.

Tip: You don’t need to repeat every element every month; furnish and document what is clinically necessary that month, but time thresholds must be met for each code billed.

The initiating visit & telehealth

  • Initial CPM requires a face-to-face visit with the billing practitioner for ≥30 minutes before you start monthly CPM billing. (If you’re continuing beyond a year, follow CMS initiating-visit expectations as referenced in current MLN materials.)
  • After initiation, many CPM activities can be delivered virtually. Through September 30, 2025, Medicare continues broad telehealth flexibilities (including patient home as originating site and audio-only when appropriate/allowed). Follow current CMS/HHS telehealth policy for modality, POS/modifier, and documentation.

Can CPM be billed with other care management services?

Yes. CMS recognizes CPM (G3002/G3003) as distinct from other care-management/remote monitoring services. You may bill CPM in the same month as CCM, PCM, TCM, BHI, RPM, or RTM as long as you don’t “double count” the same time for more than one code. (RPM and RTM cannot be billed together in the same month.)

Places of service & who gets paid

CPM can be furnished in office, outpatient, or home/domiciliary contexts (consistent with incident-to and telehealth rules, when applicable). Payment rates vary by PFS locality and setting (facility vs non-facility). Always check the current Medicare Physician Fee Schedule for your locality and date of service; conversion factors and relative values may change during the year.

Consent, patient eligibility, and concurrent rules you should know

  • Patient consent: Obtain and document the patient’s consent before starting ongoing monthly management (verbal or written). If the billing practitioner changes, obtain consent again.
  • One billing practitioner per patient per month per service still applies for overlapping categories (e.g., RPM). Coordinate within your network to avoid denials.
  • Time thresholds are strict: ≥30 minutes for G3002; each G3003 add-on is another distinct ≥15 minutes. Track practitioner/QHP time (and clinical staff time under appropriate supervision) separately from other billed services.

Bullet-proof documentation: what auditors look for

  • Link the care plan to functional goals (ADLs, sleep, mobility, psychosocial).
  • Validated pain scores recorded that month (e.g., NRS, PEG, BPI) and trend over time.
  • Medication reconciliation & risk mitigation (PDMP check per policy, opioid agreement when indicated).
  • Behavioral health screen/coordination when clinically appropriate.
  • Time log with roles (physician/QHP vs clinical staff) and method of delivery (in-person, video, or audio-only with rationale).
  • Care coordination artifacts (messages/notes with orthopedics, behavioral health, PT, pharmacy).
     (These elements flow straight from Medicare’s G3002 bundle description and E/M/CCM MLN guidance.)

Common billing scenarios (with coding logic)

  • Initial enrollment month: Perform the face-to-face initiating visit (≥30 min) and bill G3002 if the total CPM time that month reaches ≥30 min; add G3003 for each additional 15 min achieved.
  • High-touch months (flare, med change, behavioral referral): G3002 + multiple G3003 units if medically necessary and time-supported.
  • With RPM or RTM: You may bill CPM + (RPM or RTM) in the same month—never count the same minutes twice. (RPM & RTM cannot be billed concurrently.) 

Operational pitfalls to avoid

  • Missing the validated pain score that month → downcode/denial risk.
  • No explicit face-to-face initiating visit before CPM → denial of first CPM month.
  • Double-counting minutes across CPM and CCM/PCM/RPM/RTM/BHI → recoupment risk.
  • Unclear supervision/incident-to when using clinical staff → compliance risk (follow current MLN & MAC guidance).

How to maximize reimbursement and care quality with the HealthViewX Chronic Pain Management Application

If you’re serious about scaling CPM compliantly while improving patient outcomes, the HealthViewX CPM Application streamlines the entire workflow:

  1. Time & effort capture built for CPM

    • Auto-tracks practitioner/QHP vs clinical staff minutes; separates CPM time from CCM/RPM/RTM to prevent double-counting.
    • Real-time alert when ≥30 min (G3002) is achieved; incremental alerts for each 15-min (G3003).

  2. Templatized documentation mapped to G3002 elements

    • Structured notes that prompt the validated pain scale, care-plan updates, med management, BH coordination, and patient education—every month.

  3. Care-plan builder + outcomes tracking

    • Patient-centric goals with SMART targets (pain interference, sleep, function); longitudinal graphs for pain score trends and goal attainment.

  4. Telehealth-ready encounters

    • Integrated video/phone visit logging with POS/modifier prompts aligned to current CMS telehealth flexibilities.

  5. Consent & eligibility workflow

    • One-click consent capture (verbal/written), payer policy notes, and attribution controls (avoid “two providers billed” denials).

  6. Cross-program orchestration

    • Works alongside CCM/PCM/BHI/RPM/RTM modules; the platform walls off time buckets to keep services distinct while enabling the same patient to benefit from multiple programs in the same month.

  7. Care-team coordination

    • Tasking and secure messaging with orthopedics, PT/OT, behavioral health, pharmacy; audit trails that prove ongoing coordination for G3002.

  8. Billing intelligence

    • Locality-aware prompts to check the latest PFS values and MAC policies; claim-scrubbing for time thresholds, modifiers, POS, and concurrency.

What this means in practice

  • Higher clean-claim rate on G3002/G3003 (time and documentation never an afterthought).
  • More complete revenue capture in high-touch months (the platform nudges you to add G3003 when appropriate).
  • Better outcomes via a living, person-centered care plan and consistent patient education.
  • Confidence in audits thanks to structured notes, consent artifacts, and time logs aligned with MLN guidance.

Quick start checklist (copy/paste for your team)

  1. Enroll: Verify chronic pain >3 months; obtain consent; schedule the initiating face-to-face visit (≥30 min). Centers for Medicare & Medicaid ServicesAmerican Medical Association
  2. Template: Use a CPM note that forces validated pain score + plan updates each billing month. Centers for Medicare & Medicaid Services
  3. Track time: Log practitioner/QHP and clinical staff minutes separately; stop double counting across CCM/RPM/RTM/BHI/PCM. NACHC
  4. Coordinate: Document messages/referrals with behavioral health, PT/OT, pharmacy. Centers for Medicare & Medicaid Services
  5. Bill: Submit G3002 when ≥30 min; add G3003 for every additional ≥15 min that month. Centers for Medicare & Medicaid Services
  6. Telehealth: Apply current CMS telehealth rules (originating site, POS/modifiers, audio-only allowances through Sep 30, 2025). telehealth.hhs.gov
  7. Review: Check the current PFS for locality-specific payment amounts and any in-year changes. Centers for Medicare & Medicaid Services

Sources & further reading

Final word

CPM is purpose-built to support whole-person, coordinated pain care, and it’s reimbursed when you meet time thresholds and document the bundle elements. With HealthViewX Chronic Pain Management, you can operationalize CPM at scale, confidently capture G3002/G3003 each month, and most importantly help patients reclaim function and quality of life.

Chronic Pain Management and Technology: What’s the Connection?

Chronic pain is a pervasive and complex condition that affects millions of people worldwide, significantly diminishing their quality of life. For patients suffering from conditions such as arthritis, fibromyalgia, neuropathic pain, or chronic back pain, managing daily discomfort can be a constant struggle. Traditionally, chronic pain management has relied heavily on pharmacological interventions, but these approaches come with risks of dependence, side effects, and incomplete relief. Enter technology—offering innovative solutions that not only improve patient outcomes but also empower providers to deliver more personalized, effective care. In this blog, we’ll explore the connection between chronic pain management and technology, and how the HealthViewX Pain Management Platform is helping to reshape the landscape of pain care for both patients and providers.

The Growing Burden of Chronic Pain

Chronic pain is defined as pain that lasts for more than three to six months, affecting nearly 50 million adults in the United States alone, according to the Centers for Disease Control and Prevention (CDC). Of these, about 20 million experience “high-impact” chronic pain, which significantly limits their ability to work, perform daily activities, or engage socially.

The economic cost of chronic pain in the US is estimated to be between $560 billion and $635 billion annually, factoring in medical expenses, lost productivity, and disability programs. Given this, there is an urgent need for more effective ways to manage chronic pain that go beyond prescription medications, including technologies that facilitate better pain assessment, monitoring, and personalized treatment plans.

The Role of Technology in Chronic Pain Management

Technological advancements are playing an increasingly important role in chronic pain management by providing non-invasive tools, digital solutions, and data-driven insights that help both patients and healthcare providers manage pain more effectively. Here’s how technology is transforming chronic pain care:

1. Remote Patient Monitoring (RPM)

Remote Patient Monitoring allows providers to track patients’ pain levels, medication adherence, and overall health status in real-time without the need for in-person visits. Devices such as wearable sensors, smart patches, and mobile apps can collect data on patients’ pain levels and vital signs, enabling continuous care even from a distance. This approach is particularly valuable for chronic pain patients who need regular monitoring and adjustments to their treatment plans.

2. Telehealth Consultations

Telehealth platforms give chronic pain patients greater access to pain specialists, physical therapists, and mental health providers. For patients with mobility issues or those living in rural areas, telehealth offers convenient access to care, allowing providers to monitor progress, adjust treatment plans, and provide counseling from anywhere. This expands access to specialized pain care and improves patient engagement in their treatment.

3. Artificial Intelligence and Machine Learning

AI-powered algorithms can analyze patient data to identify patterns in pain triggers, responses to treatments, and predict flare-ups. With personalized insights, providers can create tailored treatment plans based on each patient’s unique pain experience, improving the likelihood of successful pain control. Machine learning models can also help optimize medication dosages and identify non-pharmacological treatments that may work better for specific patients.

4. Digital Pain Management Apps

Digital apps for pain management allow patients to track their pain symptoms, medication use, physical activity, and sleep patterns. These apps offer valuable data for both patients and providers to identify factors that exacerbate or alleviate pain, enabling a more holistic approach to managing chronic pain.

How HealthViewX Pain Management Platform Helps Patients and Providers Control Pain

HealthViewX is leading the charge in integrating these technological advancements into a single platform designed to help healthcare providers offer personalized, effective pain management solutions. Here’s how the HealthViewX Pain Management Platform is improving pain care for patients and providers alike:

1. Comprehensive Pain Assessment and Monitoring

The HealthViewX platform allows providers to track patients’ pain levels in real-time using Remote Therapeutic Monitoring (RTM) tools. Patients can log their daily pain levels, symptoms, and medication use via a mobile app, which then feeds into the provider’s dashboard. This real-time data helps providers detect changes in pain patterns early, allowing for timely intervention and treatment adjustments. By continuously monitoring patients’ pain, HealthViewX enables more proactive and precise care.

2. Customizable Care Plans

Using the platform’s analytics and AI-driven insights, providers can create individualized pain management plans that combine pharmacological and non-pharmacological therapies. For instance, a patient suffering from osteoarthritis may benefit from a mix of medication, physical therapy, and biofeedback techniques, all of which can be managed and adjusted through the HealthViewX platform. This personalized approach ensures that patients receive care tailored to their specific condition, preferences, and responses to treatment.

3. Enhanced Patient Engagement

One of the biggest challenges in chronic pain management is keeping patients engaged in their care. HealthViewX offers a patient-centered interface where individuals can easily log symptoms, track their treatment progress, and receive educational materials about pain management strategies. Automated reminders for medication, physical activity, or relaxation exercises ensure that patients stay on track with their care plans. This engagement empowers patients to take an active role in their pain management journey, leading to better outcomes.

4. Multidisciplinary Collaboration

Effective pain management often requires a team-based approach, involving specialists from various fields such as pain medicine, physical therapy, and mental health. HealthViewX facilitates multidisciplinary collaboration by providing a single platform where different healthcare providers can communicate, share patient data, and work together on care plans. This integrated approach ensures that patients receive comprehensive care that addresses the physical, emotional, and psychological aspects of chronic pain.

5. Data-Driven Decision Making

The platform’s robust analytics tools provide providers with valuable insights into treatment effectiveness, helping them refine and optimize care plans over time. By analyzing patient outcomes and treatment responses, HealthViewX enables providers to make data-driven decisions, improving the likelihood of successful pain relief while minimizing the risk of over-reliance on opioids or other potentially harmful medications.

The Future of Chronic Pain Management

The future of chronic pain management lies in technology-driven, personalized care that treats the whole patient rather than focusing solely on symptom relief. As more providers adopt platforms like HealthViewX, we can expect to see better outcomes for patients, reduced dependence on opioid medications, and a more efficient healthcare system that delivers targeted, value-based care.

HealthViewX’s Pain Management Platform is already paving the way for these improvements by offering a comprehensive solution that integrates pain assessment, treatment planning, patient engagement, and multidisciplinary collaboration. With the ability to provide real-time insights, automate care processes, and create personalized treatment plans, HealthViewX is helping both patients and providers gain better control over chronic pain.

References:

  • Centers for Disease Control and Prevention (CDC) Chronic Pain Statistics
  • National Institutes of Health (NIH) Research on Pain Management Technology
  • American Academy of Pain Medicine (AAPM) on Digital Pain Management Solutions

Leveraging AI in Healthcare Technologies to Optimize Chronic Pain Management

Introduction

In the world of healthcare, we’re seeing some pretty big changes thanks to artificial intelligence (AI). One key area where AI is really making a difference is in managing chronic pain. A lot of people around the globe suffer from chronic pain, which creates huge challenges not just for them personally but also economically. The usual ways of dealing with pain don’t always work well for everyone. But now, AI is stepping in and offering new hope.

With tools like predictive diagnostics, natural language processing, and even robotics powered by AI are changing how doctors approach pain management. These tech advancements mean that diagnosing problems can be more accurate than ever before; they help keep patients involved in their own care and make sure treatments are tailored specifically to what each person needs. This move towards using AI in health stuff looks really promising for helping folks deal with chronic pain better.

The Evolution of AI in Healthcare

In the healthcare world, artificial intelligence has really changed things up. With stuff like generative AI and neural networks leading the charge, we’re seeing some cool new tech in medicine. This means doctors can figure out what’s wrong with you more accurately, come up with better ways to treat you, and overall take care of patients better. By feeding these AI systems a ton of information, they get smarter over time. This is especially good news for folks dealing with chronic pain because it’s helping find better ways to manage it.

The beginning of AI in medicine

The journey of AI in healthcare started when people working on computer science and deep learning saw how it could change the way we treat illnesses. They created computer programs that could go through a lot of information quickly, making it easier to figure out what’s wrong with someone and how to treat them. By using deep learning, which involves complex artificial neural networks, the power of ai systems got even better for medical use. This was really the start of using AI in medicine, paving the way for today’s progress in managing long-lasting pain.

Current advancements in AI for healthcare

Right now, AI is making a big difference in many areas of healthcare, like helping people who suffer from long-term pain. By using machine learning, computers can look through huge amounts of data to help come up with treatment plans that are tailored just for them. Deep neural networks, which are really good at dealing with complicated information, play a key role in pushing forward the use of AI in healthcare. With these technologies at work, doctors can better manage pain for their patients, leading to better health results and higher quality care overall.

Understanding Chronic Pain and Its Impact

Chronic pain is a big health problem that touches the lives of millions around the globe. It’s when you’re in pain for more than three months straight. With chronic pain, life can get pretty tough – it can make your quality of life worse, cut down on how much work you can do, and bump up what you spend on healthcare. Figuring out how to manage this kind of pain isn’t easy because everyone needs something different to help them feel better. By bringing AI technology into the picture for managing pain, there’s a chance to make treatment plans better suited for each person dealing with chronic pain and possibly improve their situation.

Definition and types of chronic pain

Chronic pain covers a bunch of different health issues and gets sorted by what causes it or where you feel it. You’ve got things like nerve pain, muscle and bone pain, and really bad headaches as some common kinds. Treating each kind needs its own plan. With the help of AI technology, figuring out which type of pain someone has becomes easier, leading to treatments that are more tailored to the individual. By looking at lots of data from different places, AI helps doctors make better choices in how they handle chronic for patients making their care better overall. On top of this using operations research can make sure resources are used in the best way possible so managing chronic doesn’t waste time or money.

The socio-economic impact of chronic pain

In places like the United States, chronic pain really takes a toll not just on people’s health but also hits hard economically. About 1 in every 5 people live with this kind of pain, leading to huge amounts of money spent on healthcare and even more lost because folks can’t work as much or at all. It’s not only about the bills for doctors and medicine; it affects whether someone can do their job, enjoy day-to-day life, or feel happy overall. By using AI technology to manage chronic pain better, doctors could make treatments more effective and lessen how much chronic pain costs everyone involved – from those suffering directly from it to society in general.

AI Technologies in Pain Management

AI technologies are changing the way we manage pain by making diagnosis, treatment planning, and how we engage with patients better. With AI algorithms, predictive diagnostics can look through patient data to spot patterns and guess how well treatments might work. Thanks to natural language processing, ai systems can make sense of what patients say in their reports which helps doctors come up with care plans that are just right for each person. Robotics is also playing a big role in physical therapy and rehab by offering precise help exactly where it’s needed. All these advancements mean people dealing with pain get better care and see improved results from their treatments.

Machine Learning for predictive diagnostics

In the world of pain management, machine learning is playing a big role in creating models that can guess how well different treatments might work. These models look at things like what’s happened to the patient before, their symptoms, and results from tests to find patterns and make predictions about what treatments could be best. With machine learning, doctors have a better shot at choosing the right treatment for each person. This way, they can come up with care plans that are tailored just for them, making it more likely for patients to get better faster and helping manage pain in smarter ways.

Natural Language Processing for patient reports

In the world of healthcare, especially when it comes to managing pain, natural language processing (NLP) is making a big difference. It’s being used to go through what patients say and help doctors and nurses understand them better. With NLP, all those notes in electronic health records or the symptoms patients talk about can be quickly looked into by computers. This way, healthcare workers can spot trends or important bits of information that might help come up with treatments that are just right for each person. By combining NLP with speech recognition technology, AI systems are stepping in to make conversations between people seeking care and their caregivers smoother. This not only makes things more efficient but also helps folks feel more involved in handling their pain.

Robotics in Physical Therapy and Rehabilitation

In the world of pain management, robotics is making a huge difference in how physical therapy and rehabilitation are done. With the help of AI systems, these robots can offer very specific help that’s just right for what each person needs to feel better and recover faster. They’re smart enough to adjust their methods based on what works best for an individual patient, giving them a custom treatment plan. This blend of robotics with AI technology means doctors can make rehab programs much more effective at managing pain and helping patients get back on their feet quicker, all while boosting the quality of care they provide.

Case Studies: AI Success Stories in Chronic Pain Management

Through different examples, it’s clear that using AI in managing long-term pain works well. One area where AI shines is in precision medicine. Here, AI looks closely at each patient’s information to figure out the best treatment plan for them based on their specific traits. By using AI, doctors can create personalized treatment plans that really fit what each patient needs, making pain management better and patients happier. These examples show how powerful AI could be in changing how we handle chronic pain.

Implementing AI for Precision Medicine

In the world of healthcare, precision medicine is quickly changing how we approach treatment, making it more personal by looking at what makes each person unique. With a big focus on chronic pain management, AI is stepping up as a key player. It looks closely at heaps of information about patients – like their genes, past health issues, and how they’ve responded to treatments before – to figure out which treatment might work best for them. By bringing together big data and AI tools, doctors can now rely on solid facts to decide the best way to manage someone’s pain, leading to better results for patients.

Virtual reality as a pain management tool

Virtual reality, or VR for short, is starting to show a lot of promise in helping people manage pain. By putting patients into virtual worlds, it helps take their mind off the pain and gives them a feeling of calm and comfort. With VR, experiences can be customized based on what each person likes, making it more likely they’ll stick with it and find relief from their pain. On top of that, using VR might mean people don’t need to rely as much on strong painkillers that come with heavy side effects. As this technology gets better over time, we’re looking at VR playing a big role in making life easier for folks dealing with long-term pain.

Challenges and Considerations

AI technologies in healthcare show a lot of promise for making chronic pain management better. But, there are some big hurdles and things to think about. When it comes to using AI for health, we’ve got to be really careful about ethical issues. This includes worrying about bias and the moral questions that come up with artificial general intelligence. On top of that, keeping patient information safe is super important, so data privacy and security have to be strong. It’s also crucial to make sure there’s no gap between what AI can do and how doctors actually use it in their work. We need to ensure healthcare professionals know enough and have the right skills to use AI technologies well.

Ethical concerns in using AI for health

When we talk about using AI in healthcare, there are some big ethical questions that pop up and really need our attention. For starters, there’s a worry that AI might not treat everyone the same because of bias in its programming. This could mean unfair health outcomes for certain groups of people. To avoid this, it’s super important to make sure these ai systems learn from data that reflects all kinds of different folks.

Then there’s something called artificial general intelligence – basically when AI gets as smart as humans. We’ve got to think hard about what this means for who’s responsible when things go wrong, how clear they are about what they’re doing, and whether we might end up losing control over these technologies.

As ai systems keep getting better and smarter, making sure we have strong ethical rules is key so everything goes smoothly in healthcare.

Data privacy and security

When it comes to using AI for managing chronic pain in healthcare, keeping patient data safe and private is super important. This information is really personal, so we have to make sure only the right people can get to it. To do this, strong security steps like making data unreadable (encryption) and controlling who can see what (access controls) are a must-have. Also, following rules about protecting patient info is key—like the Health Insurance Portability and Accountability Act (HIPAA) in the United States. Healthcare places and companies that make AI need to work closely together. They should share data safely and stick to strict privacy rules. By putting data privacy and security first, patients can feel good about using AI technologies for their chronic pain management in the United States.

Bridging the gap between AI potential and clinical practice

AI could really change the game for managing long-term pain, but there’s a big step to take from what it can do to actually using it in doctor’s offices. For this tech to work well, doctors and nurses need to know how they can use AI tools and understand the info these tools give them. To get there, we should set up training programs so healthcare workers get the hang of AI stuff and make smart choices when treating patients with it. By working together with experts in AI, healthcare folks can help create solutions that fit right into their day-to-day tasks without causing any hiccups. With everyone on board and informed, we’ll be able to unlock all that AI has to offer for people dealing with chronic pain.

The Future of AI in Managing Chronic Pain

The future looks bright for using AI to handle long-term pain. By looking at big sets of data, predictive analytics can figure out patterns and guess how different treatments will work on individuals. With the help of smart gadgets and sensors that you wear, ai systems can keep an eye on how much pain someone is feeling, their physical activity, and other important info as it happens. This information lets us give personalized advice right when it’s needed most to better manage pain. Thanks to predictive analytics and wearable tech working together with AI systems, we’re moving towards a big change in managing chronic pain which could really make life better for people dealing with it every day.

Predictive analytics for personalized treatment plans

With the help of machine learning and AI systems, there’s a big chance to make treatment plans that really fit people who deal with chronic pain all the time. By looking into lots of data, which includes what patients say, their medical information, and how these smart computer programs learn over time, we can spot trends and guess how different treatments might work for someone. This means doctors can come up with care plans that are just right for each person’s unique situation, making it easier to handle their pain. On top of this, predictive analytics is good at spotting things that might cause chronic pain before it even starts. So by using these advanced tools like AI and machine learning in healthcare settings helps those suffering from constant pain get better support tailored just for them.

Integrating AI with wearable technology

Combining AI with wearable tech opens up new ways to handle chronic pain. With gadgets like smartwatches or sensors, we can track how much pain someone’s feeling, how active they are, their sleep habits, and more in real time. By using AI to look at this info, it can give advice that’s tailored just for them on how to manage their pain better. For instance, based on the levels of activity and patterns of pain a person has, AI might suggest changing up daily activities or trying out certain exercises or ways to relax. This mix of wearable technology and AI could really help people dealing with chronic pain take control and make their lives better.

Patient-Centered AI Approaches

To really make a difference in managing long-term pain, it’s crucial to put the focus on what patients need and want. With AI systems, we can do just that by creating care plans tailored specifically for each person. This way, folks dealing with chronic pain can get more involved in their treatment, receiving updates and support when they need it most. On top of this, AI helps keep a steady conversation going between patients and their doctors. This means treatments can be tweaked as needed based on real-time feedback. By keeping the patient at the heart of everything, using ai systems leads to better results all around – making care more effective and centered around those who matter most.

Enhancing patient engagement through AI

AI can really help out with managing chronic pain by making it easier for patients to stay involved. With the use of AI systems, doctors and other healthcare workers can offer care that’s tailored just right and comes at the perfect time, which makes treatment work better and keeps patients happier. Through things like chatbots or virtual helpers powered by AI, people can get answers, find resources, or have someone to talk to right away without always having to go see their doctor in person. Plus, AI has this cool ability to look through stuff patients record themselves – like how they’re feeling each day or what activities they’ve been doing – so it can give advice that’s really meant just for them. By giving patients these tools driven by AI technology, they play a bigger role in handling their pain effectively which means sticking closer to their treatment plans and seeing better results overall.

Feedback loops between patients and AI systems

For managing chronic pain better, it’s really important to have a good back-and-forth between patients and AI systems. By always gathering data that patients provide and looking into it closely, AI can offer help right when it’s needed. For instance, things you wear like fitness trackers can keep an eye on how much pain you’re feeling, how active you are, and your sleep habits. Then, AI takes this info to figure out what might be causing more pain or what makes it better. This helps in giving advice that’s just for you. On top of this, these feedback loops let doctors keep track of how well treatments are working so they can make changes if needed quickly and see which methods work best. When patients work together with AI systems through these loops, dealing with chronic pain becomes a team effort which leads to getting better results for the patient.

Regulatory Landscape for AI in Healthcare

In the world of healthcare, rules about AI are changing to make sure patients stay safe and their private info is kept secret. Right now, there are some rules like HIPAA in the United States that say how patient data can be collected, stored, and used. These rules help keep patient information safe and secure. But as AI gets better and does more things in healthcare, we’re starting to see new rules made just for AI use. Looking ahead, it’s likely that these new guidelines will focus on making algorithms clear to understand while also tackling issues like bias prevention and thinking carefully about how using AI affects patient care.

Current regulations and standards

In the United States, rules and standards are super important for making sure AI is used safely and ethically in healthcare. The Health Insurance Portability and Accountability Act (HIPAA) lays down the law on how patient data should be handled – it’s all about keeping patient information private and secure. These rules require that certain steps are taken to protect this info. On top of that, groups like the Food and Drug Administration (FDA) keep an eye on AI medical devices and apps to make sure they’re up to snuff. For those working with healthcare organizations or providing AI tech, sticking to these guidelines is key for using AI responsibly, especially when it comes to managing chronic pain or other health issues.

Future directions for policy and compliance

With AI getting better and faster in the healthcare world, there’s a big need to think about what rules and guidelines we should follow. As these AI technologies keep changing, new kinds of rules that focus just on how we use AI in healthcare are starting to pop up. Looking ahead, there are a few important things these future guidelines will probably cover.

For starters, it’ll be really important for everyone to clearly see and understand how these algorithms work when they’re used for taking care of patients. Making everything more open will help doctors and their patients get why an algorithm suggests one thing over another. Then, there’s the issue of making sure no one is left out because of unfair biases hidden within these algorithms; so figuring out ways to stop this bias is key if we want everyone to get fair treatment.

Lastly, keeping an eye on ai systems regularly will make sure they stay in line with any new rules or standards as they come along. By tackling these issues head-on now,the health sector can really make the most outof using ai while also keeping patient safetyand privacy at the forefront.

Conclusion

In the world of healthcare, AI is changing how we handle chronic pain by creating tailored treatment plans and making it easier for patients to get involved. With AI getting better over time, it’s leading to smarter predictions and working smoothly with wearable tech. But, we’ve got to keep a close eye on ethics and keeping information safe so that AI can really make a difference in clinical settings. Looking ahead, there’s a lot of hope for using AI to improve care for chronic pain through exact treatments and virtual reality tools. By focusing on what patients need from AI technology, we’re looking at improving life quality for those dealing with chronic pain.

Frequently Asked Questions

How can AI improve the quality of life for chronic pain sufferers?

AI has the power to make life better for people who constantly deal with pain by creating treatment plans just for them, thanks to predictive analytics. With the help of analyzing big amounts of data and what patients share about their experiences, AI systems can spot trends and suggest specific ways to manage pain more successfully.

What are the limitations of AI in chronic pain management?

When it comes to managing chronic pain with AI systems, there are a few hurdles we can’t ignore. For starters, chronic pain is complex and how people feel pain varies from one person to another. This makes it tough for AI algorithms to always get it right when figuring out how much pain someone is in or the specific details of what they’re going through. On top of that, there are ethical issues we need to think about. These include making sure the AI doesn’t have any built-in biases and ensuring patients know what’s happening every step of the way (that’s informed consent). Another big deal is keeping patient information private since these ai systems need access to personal health data.

Key Highlights

  • In the healthcare world, artificial intelligence (AI) is making big changes, especially when it comes to managing long-term pain.
  • With AI tools like predictive diagnostics, natural language processing, and robotics, doctors are getting better at figuring out how to deal with pain.
  • Thanks to AI, there’s a chance for more accurate diagnoses. It also helps in keeping patients involved and tailoring treatments just for them.
  • There have been real examples where AI made things better in targeted medicine and even using virtual reality to help control pain.
  • By bringing AI into health tech more broadly. we’re looking at a future where dealing with chronic pain could get a lot easier.

Earn from Medicare’s Chronic Care Management Program! CCM made simple!

Chronic Care Management Services are delivered to Medicare beneficiaries with two or more chronic conditions with the goal of improving health and quality of care for high-need patients. As the population ages, FQHCs, RHCs, ACOs, hospitals, individual practitioners, etc. face the daunting challenge of improving the quality of care for chronically ill patients while containing costs.

The Centers for Medicare and Medicaid Services (CMS) say about 93% of total Medicare spending is on beneficiaries with multiple chronic conditions. Research has shown that highly fragmented care for Medicare beneficiaries with multiple chronic conditions is more likely to present in emergency rooms, and be admitted than others.

Despite the need for proactive care for chronic care management patients, a lot of the providers are still underutilizing this benefit. There are several reasons why providers like FQHCs, RHCs, ACOs, hospitals, individual practitioners, etc. have chosen to leave it on the table.

Complicated Process:

There are several rules physicians and practices have to follow to qualify for CCM reimbursement. CMS has set rules right from enrolling Medicare patients up to the necessary documents that have to be furnished for CCM reimbursement. Other mandatory requirements include providers offering CCM service, having access to patients’ health records, providing 24/7 access to care, providing care plans, and patients being able to reach providers to meet urgent care needs.

Time Consuming and involves additional costs:

Many providers feel offering CCM service is a time-consuming effort, and requires additional staffing. They find it difficult to document each of these and also provide quality care for their patients. Providers feel there is an increased administrative burden to managing and tracking CCM services, and it also involves additional costs.

Patients Consent:

Providers must identify Medicare eligible patients, explain CCM services, and get consent to enroll the patient and start the service. Providers must explain the required information in detail so that the patient can either accept or decline the service. 

Wait and See Approach:

Providers want to first see if the approach is effective before opting for it. Many providers and physicians wait to see if other providers who opt to provide the service have success with reimbursement before committing to participation in the program.

HealthViewX makes the Chronic Care Management process easier with the below features and makes reimbursement simple:

Automated Documentation for CMS Auditing

HealthViewX automates and streamlines the end-to-end CCM process. Integrates with softphones to accurately record the time spent on each call. It easily helps generate reports as per CMS requirements. 

Comprehensive Care Plan

Structured care plans are essential to help organize the coordination of actions for proper patient progression and self-management. The solution helps create condition-specific, personalized, and comprehensive care plans for each patient, including tasks and goals for both the patient and care coordinator track for better care coordination. Simplifies and streamlines workflow to guide tele-nurses in creating care plans. 

HIPAA Compliant

HealthViewX CCM follows HIPAA compliance requirements and guidelines. The solution lets you define the access, has user-specific access conditions, and provide secure access to patient records.

Analytics and Dashboard

Gives detailed actionable insights for better care coordination. Data can be visually represented, and users can gather detailed information by clicking the desired data. The dashboard also displays the follow-up reminders that can be set up by the user against each patient.

Take this simple step to improve health outcomes and reduce costs for patients with multiple chronic care conditions.

Schedule a demo and talk to HealthViewX solution experts today to discuss the CCM solution. Or simply outsource your CCM services. HealthViewX also provides end-to-end CCM services through our network of seasoned RNs and CMAs that enable you to increase your monthly reimbursements without incurring any additional cost of hiring additional staff or investing in technology solutions.

Attract And Retain Patients Within Your Network In Seven Simple Steps

Did you know? More than 80% of the patients rely on online reviews to evaluate patients. 8 out of 10 Americans internet users have researched topics including diseases, treatments, health insurance, a particular doctor or hospital. They do not go to the specialist just because they were referred to. Indeed patients spend a lot of time researching about the hospital and other options. Hospitals try to seek the attention of the patients through advertisements. But in this world of growing technology, ads through radios and billboards have become old-fashioned. So the hospitals are quite lost with the following questions in mind,

  • How can we reach our ideal patients at the right time with the right message?
  • How can we keep them happy and loyal?
  • If potential patients are no longer reacting to traditional advertising and promotional methods then what are they responding to?

It is through Patient Value Journey.

The way a patient chooses their health care provider shows what consumers want from a product or service. Below is the 7-step Patient Value Journey that can help practices turn patients into appointments and advocates of their practice.

The Patient Value Journey

Millions of Americans are embracing technology. From online search to wearables, they are transforming the patient journey at record-breaking speed. Google receives 63,000 searches per second on any given day and health care is the third most searched topic.

Considering the present reality, how can a practice drive more patient appointments both online and offline? The best marketing strategies begin and end with how a patient finds a practice and the process that flow after their first appointment.

1) Attaining Patient Awareness

A potential patient first becomes aware of the practice and its doctor(s) during the Patient Awareness Stage. Perhaps they have a health problem or concern, are researching a health condition and potential treatment.

In this early phase of the patient journey, the patient has a problem. The practice must present their solution while showing them what differentiates them from other practices. Potential patients can become aware of a practice in the following ways:

  • Seeing an advertisement
  • Finding the practice on social media
  • Receiving a referral from another doctor, friend or family member
  • Viewing the practice website as a search result on Google
  • Meeting at a health fair or community event

All these avenues present significant opportunities for a practice to reach potential patients both online and offline.

2) Patient Engagement

After becoming aware of the practice, a potential patient will take action to learn more of their doctor(s). After grabbing their attention, the practice must trigger them to interact with you or their social circles. Downloading a digital asset (white paper, checklist or eBook) from your practice website

There are numerous ways patients can engage with the practice including:

  • Searching specifically by name for the practice on Google
  • Visiting physician review sites to check their overall score
  • Sharing, commenting or liking one of their social media posts
  • Clicking on an ad or post that drives back to their website
  • Asking peers (online or offline) about their experience with the practice
  • Visiting the practice website

Digital marketing, social media, and website strategies are critical for bringing the patients to the subscription phase. When new visitors arrive at the practice’s website, it must impress the users in a few minutes. The site must have an eye-catching design, have killer content, and be easy to navigate. In addition to being desktop-friendly, the website must also be mobile-friendly.

3) Patient Subscription

In stage 3, potential patients will opt in to view or receive additional content from the practice. Here, a prospective patient likes what they have seen so far, but isn’t ready to commit to an appointment just yet. They are, however, seriously considering that practice for their health care needs.

What patient actions can the practice expect in this phase of the journey?

  • Joining an email list for the practice’s newsletter
  • “Liking” the page(s) on social media to receive updates in their newsfeed
  • RSVPing to attend a talk or seminar
  • Signing up for a webinar discussing a particular pain point or treatment option

There are several tactics a practice can employ to optimize patient subscriptions.

  • Keep blogs updated and post relevant content that readers can share across their social networks
  • Respond (ideally in real-time) to comments on their social media pages
  • Add social sharing buttons to their blog posts, newsletters, and general emails
  • Encourage readers to share their posts on their social media networks

4) Conversion

In the Conversion phase, the potential patient is satisfied with their research and is now ready to become a patient of the practice with a scheduled office visit. Upon entering the conversion stage, a patient will:

  • Book an appointment and schedule an office visit via the website or by phone
  • Set up a time for an in-office consultation about services
  • Not cancel the appointment

To ensure a patient’s smooth flow from subscription to conversion, the practice must make the transition easy for them.

If a potential patient spends precious minutes on the website trying to figure out how to contact or book an appointment, they’ll just give up in frustration. The site must make it easy for patients to schedule a visit on every single page.

5) Achieving Diagnosis and Treatment

In the diagnosis and treatment phase of the patient journey, the medical team diagnoses and prescribes treatment to the patient. The patient receives immediate value in the form of a diagnosis or treatment plan following the appointment.

Depending on the condition, the patient is under observation or conservative treatment over multiple visits and monitoring.

6) Ascension

As part of their journey, patients may or may not be prescribed additional treatments. It depends on their condition and their response to initial treatment(s) in the diagnosis and treatment phase.

Some patients will receive continued treatment as needed. Some others may be referred to supplementary services in or outside of the practice. While others may require surgery and rehabilitation.

7) Advocacy

In the Advocacy stage, the patient has completed their treatment protocol and is satisfied with the outcome of their care. They are now in a position to advocate for the practice both online and offline.

Patients can share positive feedback with the world by:

  • Providing an online review or rating on the physician(s) review website(s)
  • Taking part in a video testimonial to share their brilliant outcomes and benefits with other potential patients
  • Become the subject of a case study

Patient advocates are one of the most valuable assets for a practice. Patient success stories create a connection, build trust, credibility, and interest to motivate potential patients to answer a call-to-action.

Making the Patient Value Journey Work For You

The patient-physician relationship is a symbiotic two-way relationship. The patients can provide transparent feedback which can positively impact the start of other patient journeys.

Mapping the medical practice’s goals with Patient Value Journey helps in understanding the audience’s mindset and behavior. It can hone the practice’s short-term, quarterly wins and activities that contribute to reaching their long-term goals.

Using technology to solve patient-related problems

If your practice is facing problems related to managing patient traffic, patient referrals, chronic care management, remote patient monitoring or anything at all, HealthViewX is always there to solve your operational issues and optimize the workflow. To know in detail about our solution, schedule a demo with us.

 

References

http://www.internetlivestats.com/google-search-statistics/

https://www.healthcareitnews.com/news/pew-study-health-information-third-most-popular-online-pursuit

http://www.nbcnews.com/id/3077086/t/more-people-search-health-online/#.W4zdVc4zbIW

https://www.softwareadvice.com/resources/how-patients-use-online-reviews/