How EHR Can Impact Population Health Management

How EHR Can Impact Population Health Management

Healthcare Tech Outlook | Monday, August 16, 2021

Electronic health records have been widely adopted for "meaningful use" in health information technology to reduce health inequities and increase the efficiency of Population Health Outcomes.

FREMONT, CA: Population Health Management (PHM) aims to enhance the health of a group of people by collecting and interpreting data into meaningful patient records. These people belong to a large group of people from a particular area who shares a feature. For example, people with certain disorders.

Background and approach

To enhance patient outcomes, cut costs for public health systems, and establish a cohesive delivery network, population health management programs use electronic health records (EHR) or Business Intelligence (BI) technology to input patient data and generate thorough reports on each patient. PHM's goal is to enhance patient outcomes by applying public health principles such as Chronic Disease Management and rigorous data analysis.

Most EHRs lack meaningful interoperability since they are designed to streamline physician and clinician workflow. They don't give all clinical data needed to provide quality person-centered care, and hospitals and governments need other data to manage population health. The PHM collects clinical, financial, and operational data, providing actionable insights and predicted analytics. However, the same EHR system or BI tool is rarely used to aggregate data throughout care, including inpatient and outpatient data in hospitals and ambulatory settings. An EHR system for PHM that integrates patient medical records, insurance claims, billing, labs, and pharmacies is rarer.

To form a cohesive delivery network, PHCs, district health centers PHM collects clinical, financial, and operational data, providing actionable insights and predicted analytics. The use of diverse EHR systems by hospitals, PHCs, and DHCs hinders effective PHM. A unified collection of clinical data remains elusive despite the widespread use of EHR. Health data is locked in hospital silos and incompatible EHR systems. Complicated regulations make patient data interchange a challenge, and district hospitals must all use an EHR system that supports significant interoperability.

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