Data Management in healthcare requires a meticulous approach, Accountable care organizations or the ACO’s usually have many hospitals associated with its network, which makes data management all the more difficult.
Hospitals have patient’s medical records either in electronic form or paper-based. ACO’s will have to
consolidate data from all hospitals and convert it into an actionable format, and make it available to be accessed across the network, to achieve better population health.
There’s a considerable challenge in a consolidation of Healthcare data. Data line in healthcare is typically lengthy and complex in the structure which is not easy to consume as it is possible in any other field. Each time data has to be retrieved and handled through secure communication, to ensure data protection.
In order to update or retrieve a patient information without any interchange, data arrangement should be perfect. Indexing is one method which helps in loading or recovering files in an orderly pattern and gives a clear and complete view of an individual patient record without any case of missing information. Data gathered and stored are reliable and acts as a primary source of information for an ACO. Integrated data approach combines patient-centered data from smartphones, wearable, and other connected devices and gives a comprehensive, near to real-time data.
Recent technology advancements help to perform advanced analytics that can yield a better diagnosis and enhance right treatment. This encourages people to engage in their own care, as unified data makes the process simpler. ACO admins can access these files to monitor the patients and measure the performance of the physicians through an actionable dashboard. Providers can schedule physician meeting with patients, whereas physician’s role is instrumental to communicate with patients and induce continuous engagement for better results.
One of the most common reasons why data management is challenging in healthcare is that of the lack of training to the participants. Payers might be doing data mining for years to monitor claims but providers are yet to leverage the advantages of data to the fullest.
Present system needs analytics assistance to drive the agenda of high-quality care at a low cost.
ACO’s may not be keen to hire a data analyst to do this process. All they require is an integrated, built-in analytical tool that can be easily installed, and be used like any other critical business application.
Another major problem is storage. To be able to arrive at a meaningful information from the data file, one must ensure collected data set covers a lot of ground data including provider, physician details along with the patient, and has to compatible to data warehouse it. Some organization prefers outsourcing where security is a major concern but they are left with no choice.
The volume of data increases day by day which is directly related to cost. The next option would be Cloud computing for many large organizations and mid-level company. And migration has already started because of its fast and secure data sharing benefits.
When it comes to payment issues analyzing cash flow is no longer difficult for hospitals with performance-based payment. Data analytics being able to analyze real-time data provides immediate information which helps in better decision making and to optimize the operations at regular intervals.
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