BI in Healthcare: Driving Patient-Centric Care through Data Analytics

The healthcare sector is undergoing a profound transformation driven by Business Intelligence (BI) and analytics capabilities that enable data-driven decision-making across clinical and operational domains. This comprehensive exploration examines how healthcare organizations are leveraging BI tools to enhance patient care delivery, optimize resource allocation, and improve financial performance. From descriptive analytics documenting historical patterns to advanced predictive and prescriptive models anticipating patient needs, the evolution of healthcare analytics demonstrates significant benefits in multiple areas: reduced emergency department wait times, decreased readmission rates, improved medication management, enhanced operational efficiency, and strengthened financial outcomes. While challenges persist in data integration, privacy protection, and system interoperability, innovative solutions continue to emerge, allowing healthcare systems to overcome these barriers. The integration of realtime dashboards for patient flow monitoring, treatment outcome tracking, and resource allocation has fundamentally altered how care is delivered and evaluated. As the healthcare analytics landscape matures, the progression toward AIaugmented decision support and prescriptive recommendations promises to further revolutionize healthcare delivery models, potentially transforming patient outcomes while controlling costs in an increasingly value-based environment

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Publication Details

Journal
International Journal of Advances in Engineering and Management
Published
2025-03-01
DOI
https://doi.org/10.35629/5252-0703131139
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

BI in Healthcare: Driving Patient-Centric Care through Data Analytics

Mallikarjun Bussa
International Journal of Advances in Engineering and Management
Artificial Intelligence in Healthcare
article

BI in Healthcare: Driving Patient-Centric Care through Data Analytics

Mallikarjun Bussa
article en

Abstract

The healthcare sector is undergoing a profound transformation driven by Business Intelligence (BI) and analytics capabilities that enable data-driven decision-making across clinical and operational domains. This comprehensive exploration examines how healthcare organizations are leveraging BI tools to enhance patient care delivery, optimize resource allocation, and improve financial performance. From descriptive analytics documenting historical patterns to advanced predictive and prescriptive models anticipating patient needs, the evolution of healthcare analytics demonstrates significant benefits in multiple areas: reduced emergency department wait times, decreased readmission rates, improved medication management, enhanced operational efficiency, and strengthened financial outcomes. While challenges persist in data integration, privacy protection, and system interoperability, innovative solutions continue to emerge, allowing healthcare systems to overcome these barriers. The integration of realtime dashboards for patient flow monitoring, treatment outcome tracking, and resource allocation has fundamentally altered how care is delivered and evaluated. As the healthcare analytics landscape matures, the progression toward AIaugmented decision support and prescriptive recommendations promises to further revolutionize healthcare delivery models, potentially transforming patient outcomes while controlling costs in an increasingly value-based environment

International Journal of Advances in Engineering and ManagementVol. 7(3)
Klinik und Poliklinik für Psychosomatik und Psychotherapie (DE)
Openalex Percentile: Top 94%
Artificial Intelligence in Healthcare
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