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Updated: Sep 6, 2025

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Structural and Semantic Mapping of Application Programming Interfaces.

Ashley R Peake1, Omar Khan1, Sarah N Lim Choi Keung1

  • 1Institute of Digital Healthcare, WMG, University of Warwick, Coventry, UK.

Studies in Health Technology and Informatics
|July 1, 2022
PubMed
Summary

Electronic Healthcare Record (EHR) systems face challenges with data sharing due to differing standards. A new API solution enables seamless integration of diverse systems into a single EHR, improving patient data accuracy and accessibility for better care coordination.

Keywords:
healthcare connectivityinterpolationproxy APIsemantic mappingstructural mapping

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Area of Science:

  • Health Informatics
  • Computer Science
  • Healthcare Systems Engineering

Background:

  • Electronic Healthcare Records (EHR) are crucial for patient data management within healthcare organizations.
  • Interoperability challenges arise from diverse data standards used by different providers and medical devices.
  • Sharing patient data between healthcare providers is essential for comprehensive patient care.

Purpose of the Study:

  • To address structural and semantic mapping issues in healthcare Application Programming Interfaces (APIs).
  • To enable the integration of disparate healthcare systems with existing Electronic Healthcare Record (EHR) systems.
  • To establish a unified source of truth for patient treatment data.

Main Methods:

  • Development of a Structural and Semantic Mapper Proxy API solution.
  • Facilitating the connection of external systems to a healthcare provider's EHR.
  • Implementing standardized data mapping for improved interoperability.

Main Results:

  • Successfully mapped structural and semantic differences in healthcare APIs.
  • Enabled seamless integration of various external systems into a central EHR.
  • Created a single, accurate source of truth for patient treatment information.

Conclusions:

  • The Structural and Semantic Mapper Proxy API effectively bridges the gap between external systems and EHRs.
  • This solution enhances data consistency and accessibility, supporting better clinical decision-making.
  • It facilitates improved patient care coordination through unified health information management.