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Related Experiment Video

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Toward Interoperable Digital Medication Records on Fast Healthcare Interoperability Resources: Development and

Eduardo Salgado-Baez1,2, Raphael Heidepriem1,2, Renate Delucchi Danhier3

  • 1Department of Anesthesiology and Intensive Care Medicine (CVK/CCM), Charité - Universitätsmedizin Berlin, Berlin, Germany.

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Summary

This study developed a standardized, interoperable medication dataset using the FHIR standard to reduce errors and improve data exchange in hospitals. The solution enhances medication identification accuracy and patient safety.

Keywords:
FAIRFHIRFast Healthcare Interoperability ResourcesFindability, Accessibility, Interoperability, and Reusabilitydatasetdigitalelectronic health recordsmedication errormedication recordssoftwarestandardizationtechnicalvalidation

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Area of Science:

  • Health Informatics
  • Clinical Pharmacy
  • Health Information Technology

Background:

  • Medication errors pose significant risks and costs in healthcare due to fragmented and non-interoperable medication data across systems.
  • Lack of standardized data leads to administrative burdens, redundant data entry, and increased potential for human error.

Purpose of the Study:

  • To assess existing medication data across a university hospital's multiple systems.
  • To identify a minimum dataset for essential medication information.
  • To propose a Health Level 7 Fast Health Interoperability Resources (HL7 FHIR)-based solution for interoperable data transfer.

Main Methods:

  • Analyzed medication data from all hospital departments, defining data elements based on HL7 FHIR and German Medical Informatics Initiative (MII) specifications.
  • Enriched the dataset with information from a comprehensive drug database and European Standard Drug Terms (EDQM) for enhanced identification accuracy.
  • Extracted and integrated data for 60 frequently used medications into a new structured database.

Main Results:

  • Identified 7964 drugs, but observed limited interoperability due to fragmented IT infrastructure and data standardization challenges.
  • Developed a structured medication dataset with key elements ensuring data identification accuracy and interoperability.
  • Successfully generated standardized medication order messages, enabling interoperable and standardized data exchange.

Conclusions:

  • The proposed minimum dataset, aligned with coding systems and the FHIR standard, addresses medication data interoperability issues.
  • This solution facilitates standardized data exchange, such as digital transfer of discharge prescriptions, reducing medication errors.
  • Implementation can significantly enhance patient safety by improving medication management processes.