Data Analytics for Population Health Management Strategies

Data analytics plays a pivotal role in population health management, offering strategies to enhance healthcare delivery and outcomes. This review article delves into the multifaceted world of data analytics in the context of population health management. It explores the utilization of health data for risk stratification, predictive modeling, and interventions tailored to the needs of distinct population groups. The article discusses the integration of electronic health records, wearables, and IoT devices to gather comprehensive patient data. Analytical methods, including machine learning and data mining, are examined for their capacity to extract insights from large datasets. The importance of data privacy, security, and ethical considerations in population health management is also addressed. In conclusion, this article underscores the significance of data analytics in optimizing population health management strategies and improving healthcare outcomes. Ravula Sruthi Yadav | Dipiksha Solanki "Data Analytics for Population Health Management: Strategies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60104.pdf Paper Url: https://www.ijtsrd.com/pharmacy/pharmacology-/60104/data-analytics-for-population-health-management-strategies/ravula-sruthi-yadav