Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Integrated Healthcare System

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...

Health Information Technology and Healthcare Information System

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Purpose of Health Records II

Purpose of Health Records II

Health records serve various essential purposes in the healthcare system. Here are some key purposes:

Purpose of Health Records I

Purpose of Health Records I

The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:

Methods of Documentation VII: EMR

Methods of Documentation VII: EMR

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A Prescriptive Validation Framework for a Scalable Multi-Layer AI Adoption Model in 6P Medicine.

Studies in health technology and informatics·2026

Same author

Interoperability-Driven Digital Twins in Healthcare: A Conceptual and Technical Analysis of FHIR, openEHR, and OMOP.

Studies in health technology and informatics·2026

Same author

EHDS Data Continuum: A Proposed IHE Integration Profile for Bridging Primary and Secondary Health Data Use.

Studies in health technology and informatics·2026

Same author

Proposed Schema Extensions and ETL Pathways for Integrating Wearable and Patient-Reported PGHD into OMOP-CDM for Secondary Use.

Studies in health technology and informatics·2026

Same author

Artificial Intelligence For 6P Medicine: Consolidating AI Needs of Predictive, Preventive, Personalized, Participatory, Precision, and Public Health Trajectories.

Journal of medical systems·2026

Same author

Streamlining wearable data integration for EHDS: a case study on advancing healthcare interoperability using Garmin devices and FHIR.

Frontiers in digital health·2025

Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026

Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026

Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026

Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026

Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026

Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 16, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

Integrating Garmin Wearable Data into FHIR-Based Health Systems for Improved Interoperability.

Somayeh Abedian^1,2, Eugene Yesakov³, Stanislav Ostrovskiy³

¹The Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.

Studies in Health Technology and Informatics

|October 3, 2025

Summary

This summary is machine-generated.

This study demonstrates how wearable device data can be integrated into healthcare systems using Fast Healthcare Interoperability Resources (FHIR). This integration enhances clinical decision-making and personalized patient care through reliable, real-time health data.

Keywords:

Fast Healthcare Interoperability Resources (FHIR)Healthcare Interoperability Patient-Generated Health Data (PGHD)Wearables Data

More Related Videos

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Related Experiment Videos

Last Updated: Jan 16, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Area of Science:

Digital Health
Health Informatics
Wearable Technology Integration

Background:

Patient-Generated Health Data (PGHD) from wearables is increasingly prevalent.
Integrating PGHD into clinical systems is crucial for modern healthcare.
Smartwatch data (e.g., heart rate, activity) offers valuable health insights.

Purpose of the Study:

To explore the integration of wearable data into FHIR-based healthcare systems.
To evaluate data compatibility with FHIR standards and platforms like Fitrockr and MORE.
To assess the feasibility of transferring wearable data to FHIR servers for clinical use.

Main Methods:

Utilized Garmin Vívoactive 4 smartwatch for data collection.
Employed the Fitrockr platform for data processing and FHIR alignment.
Evaluated dataset compatibility with the Modular Open Research Environment (MORE) platform and FHIR.
Examined data transfer feasibility to FHIR servers.

Main Results:

Demonstrated alignment of wearable data (heart rate, steps, sleep) with FHIR resources (Observation, Device, Patient).
Confirmed compatibility of collected datasets with FHIR standards via the MORE platform.
Showcased the feasibility of transferring wearable records to FHIR servers.

Conclusions:

Semantic interoperability simplifies PGHD integration into Electronic Health Records (EHRs) and hospital systems.
Enhanced data integration supports medical decision-making and Clinical Decision Support Systems (CDSS).
Collaborative use of standards (FHIR, openEHR, OMOP) ensures consistent, meaningful wearable data integration for clinical practice and research.