The ever-evolving healthcare landscape has increased interest in the use of health data analytics within Population Health Management (PHM).
PHM involves the use of healthcare analytics and data-driven strategies to support treatment planning, preventive care initiatives, and patient self-management across defined populations. As electronic medical information becomes more accessible across healthcare settings, opportunities for secure information sharing and coordinated care continue to expand.
With broader access to healthcare data related to individual patients and larger patient populations, healthcare organizations may use analytics to support care coordination efforts, identify operational trends, and inform strategies aimed at improving patient outcomes and organizational efficiency.
Understanding Population Health Management
While PHM is not a new concept, advances in healthcare technology and electronic health records (EHRs) have increased its relevance across healthcare systems. Analytics tools may help healthcare organizations identify patterns in care delivery, evaluate utilization trends, and support efforts focused on operational efficiency and quality improvement initiatives.
PHM generally focuses on using healthcare data to better understand patient populations, identify areas for intervention, and support informed decision-making related to healthcare delivery. Insights generated through PHM initiatives may provide value for patients, providers, employers, policymakers, and payers.
Historically, the effectiveness of PHM initiatives was often limited by fragmented healthcare data and restricted information sharing between organizations. Before broader EHR adoption, healthcare data was frequently stored across disconnected systems, making comprehensive population-level analysis more difficult.
For example, a hospital may maintain records related to diabetic patients within a specific geographic area, but a more complete understanding of patient care may also require information from urgent care centers, physician offices, pharmacies, laboratories, and other healthcare providers. EHR systems can support more coordinated access to healthcare information across authorized care settings.
At the individual practice level, Practice-Based Population Health initiatives may help organizations:
- Identify patient populations that may benefit from targeted outreach or care management
- Examine trends within patient subpopulations
- Create actionable reminders and follow-up processes
- Monitor operational and clinical performance metrics
- Improve access to healthcare data for reporting and analysis
Where Data Comes into Play
Big data in healthcare includes the use of EHR systems and other scalable digital data sources that can support timelier clinical and operational decision-making. As healthcare organizations increasingly adopt electronic record systems, opportunities for integrated data analysis across care environments have expanded.
Using diabetic populations within a specific region as an example, tracking patient compliance with routine A1C testing was historically more difficult when healthcare records existed across separate systems. While hospitals may have maintained some records, additional information may have resided within physician offices, laboratories, or specialty clinics.
Modern EHR systems can help healthcare organizations access more complete patient information, support care coordination efforts, reduce the likelihood of unnecessary duplicate services, and facilitate more informed healthcare delivery across connected care environments.
