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Can Analytics Help Manage Population Health Data?

Since the pandemic, population health management has become one of the top priorities of governments across the world. Health systems must be equipped to get the required information and provide actionable insights. Once you gather information, data analytics can help sort the patterns better. The sorting can be based on demographics, clinical data, electronic health information, etc. In this article at HealthITAnalytics, Erin McNemar shares how data analytics can revitalize population health data management.

Leveraging Population Health Data for Analytics

Enhancing Patient Health

Bracken Babula, a medical information officer from Jefferson Health, insists that you must know the metrics. You must then develop risk scores to collect the crucial population health data. Age, gender, insurance, etc., are some factors that you must include when inferring what patients need. You can then prioritize the care for the people that require the most attention.

Improving the Caregiving Process

For now, physicians are using one-stop solutions for all their patients. However, if you want to provide care that would provide more value to individual patients, you must improve patient experience and health management costs. Per the Cleveland Clinic, “Prevention of health reduces the need for expensive tests, procedures, and medications.” By making dietary and lifestyle changes for patients, you are reducing the medical treatment cost for patients and hospitals.

Assessing Social Health Determinants

Stanford Children researchers are collecting population health data to discover how society influences patient health. Domestic violence or food irregularities will negatively impact patients’ health sooner or later. But these will not be detected by paying a visit to the doctor only once. So, Jefferson Hospital is trying to understand the implications of the COVID-19 vaccine based on social vulnerability and community need indexes.

Analyzing Population Health Data

Abdul Tariq, Geisinger’s ML director, is hopeful that analytics will expand its role from healthcare to the tech and provider space. As more people wear wearable fitness trackers like Fitbit, it will be easier to collect and analyze population health data. While there will be policies controlling how healthcare providers use data, health management will be more relevant.

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