Advancing Healthcare Through Interoperability: Implementing Scalable Solutions for Patient Data Integration.

Autor: Gour S; Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, UK., Peake A; Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, UK., Tong C; Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, UK., Churm J; Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, UK., Ahmad B; Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, UK., Pournik O; Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, UK., Arvanitis TN; Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham, UK.
Jazyk: angličtina
Zdroj: Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 242-246.
DOI: 10.3233/SHTI240390
Abstrakt: Healthcare faces significant challenges in exchanging and utilizing health information across diverse providers, necessitating innovative solutions for improved interoperability. This study presents a comprehensive exploration of scalable technical and semantic solutions for patient care integration, emphasizing the implementation of these solutions within the framework of the Fast Healthcare Interoperability Resources (FHIR) standard. Our approach revolves around the development and deployment of Technical Interoperability Suite (TIS) and Semantic Interoperability Suite (SIS) technology solutions to disparate health information systems, predominantly Electronic Health Records (EHRs) into a unified Patient Care Platform, fostering comprehensive data exchange and utilization. The integration process involves importing data from various EHR systems and transforming imported patient data into FHIR-standardized formats. The provided solution supports various functionalities, including automatic and manual importation of patient data, through standard computer-readable templates. The integration of TIS and SIS solutions is underpinned by a robust technological framework, incorporating technologies such as Typescript, Deno, and document-oriented databases such as MongoDB. The effectiveness of our interoperability solutions was validated through deployment in multinational EU projects: ADLIFE and CAREPATH. The scalability and generalizability of our approach underscore its potential for diverse healthcare settings.
Databáze: MEDLINE