AI-powered provider profiling: enhancing healthcare network efficiency and transparency

Healthcare networks grapple with the complexities of managing vast, disparate provider data while ensuring efficient operations and maintaining high-quality patient care. AI-powered provider profiling offers a transformative solution, leveraging advanced machine learning and data integration techniques to unify provider data, track affiliations, and enhance network reliability. This white paper explores the application of AI models in provider profiling, the integration of Fast Healthcare Interoperability Resources (FHIR) standards to ensure interoperability, and the resultant impact on patient care delivery. By addressing key challenges and providing actionable insights, this paper outlines a future-forward roadmap for healthcare systems striving to achieve greater transparency, efficiency, and patient-centric outcomes.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2024-12-30
DOI
https://doi.org/10.30574/wjarr.2024.24.3.3941
Primary Topic
Telemedicine and Telehealth Implementation
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-powered provider profiling: enhancing healthcare network efficiency and transparency

Carol Singh
World Journal of Advanced Research and Reviews
Telemedicine and Telehealth Implementation
article

AI-powered provider profiling: enhancing healthcare network efficiency and transparency

Carol Singh
article en

Abstract

Healthcare networks grapple with the complexities of managing vast, disparate provider data while ensuring efficient operations and maintaining high-quality patient care. AI-powered provider profiling offers a transformative solution, leveraging advanced machine learning and data integration techniques to unify provider data, track affiliations, and enhance network reliability. This white paper explores the application of AI models in provider profiling, the integration of Fast Healthcare Interoperability Resources (FHIR) standards to ensure interoperability, and the resultant impact on patient care delivery. By addressing key challenges and providing actionable insights, this paper outlines a future-forward roadmap for healthcare systems striving to achieve greater transparency, efficiency, and patient-centric outcomes.

World Journal of Advanced Research and ReviewsVol. 24(3)
Openalex Percentile: Top 62%
Telemedicine and Telehealth Implementation
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