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Health Information Technology and Healthcare Information System01:30

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
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Design and Development of Learning Management System Huemul for Teaching Fast Healthcare Interoperability Resource:

Sergio Guinez-Molinos1, Sonia Espinoza2, Jose Andrade2

  • 1School of Medicine, Universidad de Talca, Talca, Chile.

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Summary

This study introduces Huemul, a learning platform for Fast Healthcare Interoperability Resources (FHIR) training. Huemul offers automated assessment and feedback, enhancing healthcare professional education in interoperable health systems.

Keywords:
APIFHIRFast Healthcare Interoperability ResourceHL7Health Level Seven Internationalapplication programming interfacecertificatione-learninghealth information systeminteroperabilityinteroperabletraining

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Area of Science:

  • Health Informatics
  • Computer Science
  • Educational Technology

Background:

  • Health information system interoperability is crucial for continuous patient care.
  • Fast Healthcare Interoperability Resources (FHIR) is the global standard for interoperable health systems.
  • Existing FHIR training lacks effective web-based self-learning platforms with automated assessment.

Purpose of the Study:

  • To design and develop a learning management system (LMS) for FHIR education.
  • The system aims to facilitate the creation, deployment, and automated assessment of FHIR web-based courses.
  • Provide learners with continuous feedback and track progress.

Main Methods:

  • Requirements gathered through semistructured interviews with FHIR experts.
  • Analysis of functional requirements: test/question manager, API, test evaluator, client application.
  • Nonfunctional requirements focused on security and usability; development followed the spiral model.

Main Results:

  • Huemul LMS developed with components: Admin, API, Engine, and Client.
  • Successfully implemented with 416 students across 10 courses.
  • Teachers created 60 tests and 695 questions; students highly rated the platform.

Conclusions:

  • Huemul is the first platform for automated FHIR course assessment and feedback.
  • Successfully deployed in FHIR training for healthcare professionals.
  • Trained professionals are leading significant national and international health initiatives.