Role of Big Data in Revolutionizing Health Management Systems

ABSTRACT:
Big data is crucial and popular elements for innovation and predictive analytics inhealthcare,propelling the digital healthcare transformation. Organizations are already developing an intelligent bigdata analytics platform based on data integration principles. This platform serves as the newcornerstonefor the organization to improve population health management, value-based care, and address emerginghealthcare challenges. Utilizing this new data platform for community and populationhealthoffersseveral benefits, including improved healthcare outcomes, enhanced clinical operations, reducedcarecosts, and the generation of accurate medical information. The authors have implementedmultipleadvanced analytics framework that leverage the large, standardized datasets integrated intotheplatformto enhance the effectiveness of public health interventions, improve diagnoses, and provideclinicaldecision support. The data integrated into the platform are sourced from Electronic HealthRecords,Laboratory Information Systems, Hospital Information Systems and Radiology InformationSystemsaswell as data generated by public health platforms, mobile data, social media, and clinical webportals.This substantial volume of data is integrated using big data techniques for storage, retrieval, processing,and transformation. This paper outlines the design of a digital health platformwithinahealthcareorganization, aiming to integrate operational, clinical, and business data repositories withadvancedanalytics to enhance the decision-making process for population health management.

KEYWORDS: decision support systems; population health management; big data; advancedanalytics;personalized patient care.