Defining Population Health
Population health management focuses on improving health outcomes for a defined group of patients, often an entire patient panel attributed to a provider group or accountable care organization, rather than focusing exclusively on individual encounters. RHIA candidates should understand that population health analytics relies heavily on aggregated, longitudinal data drawn from multiple encounters and sources.
Risk Stratification
Risk stratification tools segment a patient population into tiers, such as low, moderate, and high risk, based on factors including chronic condition burden, prior utilization, social determinants of health, and predictive risk scores. High risk patients are typically targeted for care management interventions, such as care coordination or home visits, aimed at preventing avoidable emergency visits and hospitalizations.
Key Data Sources
- Claims data, which captures utilization and cost across all sites of care a patient visits, even outside the primary organization.
- Clinical data from the EHR, providing detailed diagnosis, lab, and medication information.
- Social determinants of health data, capturing factors such as housing instability, food insecurity, and transportation access.
- Patient reported outcome data, capturing the patient's own assessment of function and quality of life.
Registries and Care Gaps
Disease registries, such as a diabetes or hypertension registry, allow care teams to track whether patients are receiving recommended screenings and achieving control targets. Care gap reports flag patients who are overdue for recommended services, enabling proactive outreach rather than waiting for the patient to present with a complication.
Value Based Contracts
Population health analytics underpins value based payment arrangements, including accountable care organizations and shared savings programs, where a provider group is measured and financially rewarded or penalized based on the quality and cost outcomes of its attributed population rather than the volume of services delivered.
HIM's Contribution
HIM professionals support population health initiatives by ensuring accurate patient attribution, maintaining data quality across the integrated data sets used for risk stratification, and managing the release of information processes required when aggregating data from external sources for care coordination.
Exam Tip
Distinguish population health analytics, which focuses on a defined group over time, from traditional utilization review, which focuses on the appropriateness of an individual episode of care.