Results 71 to 80 of about 5,919 (173)

FHIR Knowledge Graph Generation

, 2023
This code is used to generate a FHIR knowledge graph with mappings to other data sources Prerequisites Neo4j is installed and set up https://neo4j.com/docs/operations-manual/current/installation/ Python 3.6+ is installed https://www.python.org ...
Kecheng Liu, Hua Guo, Michael Scriney
core   +1 more source

Experimental Verification and Systemic Integration of a Hybrid Method for Analyzing Medical Data into Medical Information Systems

Огарёв-Online
Introduction. This paper continues the preceding study in which ahybrid multimodal method for medical data analysis was proposed for use in clinical decision support systems (CDSS). Materials and Methods.
Mokhtar A. M. Amran, Mariya A. Poltavtseva   +1 more
doaj   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, Volume 1, Issue 2, September 2026.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

PULSE-FHIR: Platform for Unified Labeled Signals of Electrocardiograms in FHIR

This work presents PULSE-FHIR, an open-source web platform that integrates Fast Healthcare Interoperability Resources (FHIR)-compliant electrocardiogram (ECG) recordings with temporally synchronized visualization of clinical and AI-generated annotations.
Adriano Paulichi, André L. M. Martins, Vinícius Coradassi, Fábio Pires Itturriet, Daniel F. Pigatto   +4 more
core   +1 more source

Clinical, technical, and implementation characteristics of real-world health applications using FHIR

, 2022
OBJECTIVE: Understanding the current state of real-world Fast Healthcare Interoperability Resources (FHIR) applications (apps) will benefit biomedical research and clinical care and facilitate advancement of the standard.
Griffin, Ashley C., Nwadiugwu, Martin, Nwadiugwu, M., Nguyen, Viet, King, Andrew J, Nguyen, V., Jaffe, Charles, Subbian, V., Khan, Z., Griffin, Ashley C, Braunstein, M., Sunjaya, A.P., Griffin, A.C., Jaffe, C., King, Andrew J., Sunjaya, Anthony P., Khan, Zubin, He, L., King, A.J., Douthit, Brian, Schleyer, T., Subbian, Vignesh, Braunstein, Mark, He, Lu, Douthit, B., Sunjaya, Anthony P, Schleyer, Titus   +26 more
core   +1 more source

Additional file 6 of Pathling: analytics on FHIR

, 2022
Additional file 6 FHIR value set representing COVID-19 vaccine ...
Kylynn Loi (13765221), Piotr Szul (13765215), Alejandro Metke-Jimenez (4447441), John Grimes (13765212), Michael Lawley (13765218)   +4 more
core   +1 more source

Anatomic Pathology Structured Report Under FHIR

, 2016
INTRODUCTION / BACKGROUND The last version of profile for the structured report of IHE was created 2011(IHE). Many discussions took place to improve and adapt the model of described document models for clinical practice.
Libramm, J., Schrader, T.
core   +1 more source

Graph-based creation of IDMP-conformant FHIR Medication instances using Neo4j: An evaluation study

GMS Medizinische Informatik, Biometrie und Epidemiologie
Introduction: The availability of syntactically and semantically interoperable data is a critical prerequisite to high-quality research in the medical field.
Budeus, Markus, Boeker, Martin
doaj   +1 more source

Towards Gender-Sensitive Health Data Infrastructures: Interoperability Challenges and Design Implications for Biomedical Engineering

Current Directions in Biomedical Engineering
Sex and gender differences significantly influence health outcomes, yet they remain insufficiently represented in clinical datasets and digital health infrastructures.
Prochaska Eveline, Henke Elisa
doaj   +1 more source

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

Frontiers in Digital Health
IntroductionPatient-Generated Health Data (PGHD) collected through wearable devices such as smartwatches offers new opportunities for personalized care, chronic disease management, and preventive health. Despite this potential, technical, regulatory, and
Somayeh Abedian, Somayeh Abedian, Eugene Yesakov, Stanislav Ostrovskiy, Rada Hussein   +4 more
doaj   +1 more source