30 May Data Scientists in High Demand for Payers

The Right Data Management Solutions Can Fill in Talent Gaps

According to a recent Journal of the American Medical Informatics Association (JAMIA) study, the demand for data scientists and machine learning specialists is at an all-time-high for health payers.

Payers are eager to leverage their big data assets more effectively, says study author Melanie Meyer, a health informatics expert from the University of Massachusetts Lowell, and they need to secure talented staff in order to meet their analytics goals.

As highlighted in this recent Health IT Analytics article, the vast majority of data is unstructured, and all data is difficult to access and analyze in the healthcare arena, reinforcing the need for the right data management solutions.

In addition to being able to best analyze unstructured data, these solutions can also help payers advance their data analytic efforts, even in the face of this major talent gap.

For example, IMAT Solutions allows payers to connect, collect, validate and normalize all health data for not only tackling today’s data tsunami challenges, but for better aligning claims and clinical systems to drive more coordinated care, and bring new payment models and population health initiatives to life.

IMAT enables payers to aggregate data from many incompatible sources and formats making it all available for search and analysis. The platform also provides a trusted data source, combining all current and historical data and retains all original records and content for validation and audit purposes while providing consistent real-time access to the data.

IMAT Solutions also allows payers to leverage health data analytics in ways that transform provider engagement, population health and risk management through Business Intelligence (BI) tools, Provider Dashboards, as well as offering the ability to drill down from the aggregated results to the patient and the source records where the data exists.

With data becoming the backbone for many payers, the “war for talent” for data scientists and machine-learning experts will only continue to become more challenging. Thankfully, the right data management solutions can help payers fill these gaps by bringing the promise of data to life for payers.

To learn more about how payers can best harness their data for improved analytics, interoperability and outcomes, please click here.