The Role of Population Health Analytics Tools
The Role of Population Health Analytics Tools
Population health management has come a long way, but without a robust, data-oriented strategy, some of its challenges remain unresolved. By 2027, the population health management market is expected to surpass $150 billion. Organizations and companies dedicated to collecting, storing, scoring, protecting and targeting interventions based on population health data are gaining massive traction, but access to detail-rich patient data alone is not sufficient to close healthcare gaps effectively. If population health analytics tools are to support payers and providers with an accurate evaluation of community health trends, they need to bridge population health data and advanced data analytics. It is only by doing so that they can advance from pure data aggregation and visualization to delivering actionable insights that unlock preventative healthcare. In particular, population health management platforms various issues.
The Role of Population Health Analytics Tools
One of the issues that health data analytics tools need to address is standardizing and structuring data. One of the major challenges for population health management is the steady growth of healthcare information technology, which leads to the proliferation of data sources. These include normalized clinical data, social determinants of health, lab results, pharmacy data, claims-based data, and much more. The volume of information that is generated in the medical industry is expanding so rapidly that by 2025, the estimated amount of healthcare data is projected to surpass this in the media and entertainment sector. Moreover, the specific groups of focus in population health management are continually evolving, something that is imposing constant updates in the types of data used for analytics.
The Role of Population Health Analytics Tools
Effective use of data in care management decision-making means understanding what sources to pull data from and how to organize the accumulated knowledge. The bad news is that healthcare providers that are faced with such a breadth of information often find themselves overwhelmed by the task. Additionally, the lack of common clinical vocabulary across disparate systems can lead to ambiguous data coding and categorization, fragmented clinical decision support, as well as incorrect medication mapping. For more information on the role of population health analytics tools, visit our website at https://riveraxe.com/
The Role of Population Health Analytics Tools