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Related Concept Videos

Methods of Documentation VII: EMR01:30

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Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
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Related Experiment Video

Updated: Jun 4, 2025

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
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Patient-Centric Approach to Personalized Electronic Medical Records via QR Code in Japan.

Yoshihiko Izumida1, Takashi Omura1, Masahiro Fujiwara2

  • 1Department of Endocrinology and Diabetes, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama, Japan.

Interactive Journal of Medical Research
|December 23, 2024
PubMed
Summary

This study demonstrates a patient-centric data flow model for precision medicine, enhancing trust and interoperability in digital health. The Sync for Science-J system successfully shares electronic medical records and patient-generated health data, promoting open science.

Keywords:
HL7-FHIRHealth Level 7 Fast Health Care Interoperability ResourcesLOINCS4S-JSync for Science-Jappdigital healthdigital interventionelectronic medical recordlogical observation identifiers names and codesmobile healthopen sciencepatient-generated health datapersonal health recordprivacy preference manager

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Area of Science:

  • Digital Health
  • Health Informatics
  • Precision Medicine

Background:

  • Global policies promote FAIR data principles to enhance trust in digital health systems.
  • Interoperability and data accessibility are crucial for innovation in digital health technologies.
  • Patient-centric data flow models are essential for successful digital health system implementation.

Purpose of the Study:

  • To demonstrate the feasibility of a patient-centric data flow model for semantic interoperability in precision medical information.
  • To introduce the Sync for Science-J (S4S-J) system as a solution for linking electronic medical records (EMRs) and personal health records (PHRs).
  • To support data sharing based on personal information beliefs and unlock siloed systems with privacy controls.

Main Methods:

  • Developed Sync for Science-J (S4S-J), an interoperable interface conforming to Health Level 7 Fast Health Care Interoperability Resources (HL7 FHIR) and using Logical Observation Identifiers Names and Codes (LOINC).
  • Implemented a patient-centric data flow model controlling data distribution from EMRs and patient-generated health data, converting it into scannable QR codes.
  • Conducted a multicenter, randomized controlled clinical trial (EMBRACE study) using the M♡Link mobile health app with the S4S-J interface.

Main Results:

  • Successfully implemented the HL7 FHIR system and LOINC data mapping, addressing new challenges in data standardization.
  • Achieved preliminary success in sharing EMR-integrated patient-generated health data between authorized medical facilities and healthcare providers, respecting patient preferences.
  • Demonstrated the feasibility of the patient-centric data flow model facilitating semantic interoperability on precision medical information.

Conclusions:

  • The S4S-J system in Japan facilitates secure and patient-controlled data sharing, enhancing trust and interoperability in digital health.
  • The patient-centric data flow model promotes data portability, maximizing patient benefit and contributing to open science.
  • The successful implementation of S4S-J supports the secondary use of medical data for industry, healthcare services, and research.