Performance Improvements to a Large Scale Public Health Data and Analytics Platform: A Technical Perspective
Public Health planning and administration comprises 3 broad functions viz., health needs assessments, policy development, and administration of services. Health Informatics plays a significant role for effectiveness of each of these functions. This paper presents practical technical learnings from implementation of performance improvement measures for a large Open Source based Data Analytics platform for Public Health. This paper is unique in its attempt to categorize the problem on the above lines. The authors present a study of a real-life large data warehouse and public health data mining implementation that has faced significant challenges and discuss solutions to address those challenges. With rapidly changing technology landscape, specifically in data and analytics space, dynamic changes to population composition and the resultant expectations from public health, research focused on public health data integration and data mining needs higher attention. The paper concludes with summary of best practices discussed and future directions.
KeywordsHealth informatics Public health metrics KPI Data mining Insights Challenges Solutions Implementation Data quality Public health data research Decision support systems Open source stack
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