The Transformative Power of Predictive Analytics in Healthcare Systems

Predictive analytics is revolutionizing healthcare by transforming how organizations leverage data toimprove patient outcomes and operational efficiency. By applying advanced statistical algorithms andmachine learning techniques to healthcare information, organizations can anticipate clinical deterioration,optimize medication regimens, prevent readmissions, and personalize treatment plans. The implementationof these technologies spans diverse applications, including enterprise risk management, pharmacy benefitsoptimization, medication adherence improvement, personalized treatment planning, workflowenhancement, and population health management. Despite implementation challenges related to dataintegration, technical infrastructure, and clinical adoption, healthcare systems are reporting significantimprovements in clinical outcomes, substantial cost avoidances, and enhanced patient experiences. Ashealthcare continues its transition toward value-based care models, predictive analytics will play anincreasingly central role in balancing the quadruple aim of improved patient experience, better populationhealth, reduced costs, and enhanced clinician satisfaction.

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Publication Details

Journal
International Journal on Science and Technology
Published
2025-04-02
DOI
https://doi.org/10.71097/ijsat.v16.i2.3047
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

The Transformative Power of Predictive Analytics in Healthcare Systems

Peeyush Khandelwal
International Journal on Science and Technology
Big Data and Business Intelligence
article

The Transformative Power of Predictive Analytics in Healthcare Systems

Peeyush Khandelwal
article en

Abstract

Predictive analytics is revolutionizing healthcare by transforming how organizations leverage data toimprove patient outcomes and operational efficiency. By applying advanced statistical algorithms andmachine learning techniques to healthcare information, organizations can anticipate clinical deterioration,optimize medication regimens, prevent readmissions, and personalize treatment plans. The implementationof these technologies spans diverse applications, including enterprise risk management, pharmacy benefitsoptimization, medication adherence improvement, personalized treatment planning, workflowenhancement, and population health management. Despite implementation challenges related to dataintegration, technical infrastructure, and clinical adoption, healthcare systems are reporting significantimprovements in clinical outcomes, substantial cost avoidances, and enhanced patient experiences. Ashealthcare continues its transition toward value-based care models, predictive analytics will play anincreasingly central role in balancing the quadruple aim of improved patient experience, better populationhealth, reduced costs, and enhanced clinician satisfaction.

International Journal on Science and TechnologyVol. 16(2)
Openalex Percentile: Top 90%
Big Data and Business Intelligence
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The Transformative Power of Predictive Analytics in Healthcare Systems — Peeyush Khandelwal · International Journal on Science and Technology (2025) | TGRS Research Map | TGRS