Year: 2024
Type: article
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.
Author: Chandra Prakash Singh
Institution: IBM (United States)
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4406061348