Results 41 to 50 of about 4,832 (216)

somnonetz/xnat-fhir-plugin: Version 0.1

, 2018
<p>Extending XNAT with FHIR datatypes and FHIR compatible REST API</p ...
Sabina Mollenhauer, Michael Witt, Tabea Herrmann, Maryna Khvastova, Isabella Kaupp Rivadeneira   +4 more
core   +1 more source

The Architecture of a Feasibility Query Portal for Distributed COVID-19 Fast Healthcare Interoperability Resources (FHIR) Patient Data Repositories: Design and Implementation Study

JMIR Medical Informatics, 2022
BackgroundAn essential step in any medical research project after identifying the research question is to determine if there are sufficient patients available for a study and where to find them.
Julian Gruendner, Noemi Deppenwiese, Michael Folz, Thomas Köhler, Björn Kroll, Hans-Ulrich Prokosch, Lorenz Rosenau, Mathias Rühle, Marc-Anton Scheidl, Christina Schüttler, Brita Sedlmayr, Alexander Twrdik, Alexander Kiel, Raphael W Majeed   +13 more
doaj   +1 more source

Privacy-Preserving Healthcare Data Interactions: A Multi-Agent Approach Using LLMs

Journal of Communications Software and Systems
Integrating Electronic Health Records (EHRs) into clinical workflows is crucial for advancing healthcare delivery but poses significant challenges, especially in improving humanmachine interactions through natural language queries.
Carmen De Maio, Giuseppe Fenza, Domenico Furno, Teodoro Grauso, Vincenzo Loia   +4 more
doaj   +1 more source

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

FHIR PIT: an open software application for spatiotemporal integration of clinical data and environmental exposures data

BMC Medical Informatics and Decision Making, 2020
Background Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking.
Hao Xu, Steven Cox, Lisa Stillwell, Emily Pfaff, James Champion, Stanley C. Ahalt, Karamarie Fecho   +6 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, EarlyView.
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

The Mappability of Clinical Real-World Data of Patients with Melanoma to Oncological Fast Healthcare Interoperability Resources (FHIR) Profiles: A Single-Center Interoperability Study

Informatics
(1) Background: Tumor-specific standardized data are essential for AI-based progress in research, e.g., for predicting adverse events in patients with melanoma. Although there are oncological Fast Healthcare Interoperability Resources (FHIR) profiles, it
Jessica Swoboda, Moritz Albert, Catharina Lena Beckmann, Georg Christian Lodde, Elisabeth Livingstone, Felix Nensa, Dirk Schadendorf, Britta Böckmann   +7 more
doaj   +1 more source

Repurposing Registries: Completeness of Real‐World Data for Regulatory and HTA Purposes in Three Cancer‐Focused Registries

Clinical Pharmacology &Therapeutics, EarlyView.
Despite developments in supporting the identification and selection of fit‐for‐purpose registries, a translational gap remains between the original purposes of clinically focused registries and their current and future expected use in policymaking. This study aimed to assess the extent to which cancer‐focused registries collect essential data elements ...
Manon C. Wilpshaar, Doranne Hilarius, Luisa Prada, Ansgar Weltermann, Christine Leopold   +4 more
wiley   +1 more source

Mapping the SPHN Dataset to FHIR

, 2023
Several European health data research initiatives aim to make health data FAIR for research and healthcare, and supply their national communities with coordinated data models, infrastructures, and tools. We present a first map of the Swiss Personalized Healthcare Network dataset to Fast Healthcare Interoperability Resources (FHIR®).
Sophie Anne Ines Klopfenstein, Sylvia Thun, Katrin Crameri, Caroline Stellmach   +3 more
openaire   +2 more sources

The outcomes of electronic personal health records in patients with heart failure or coronary artery disease

ESC Heart Failure, Volume 12, Issue 2, Page 1464-1468, April 2025.
Abstract Background There are limited data on the efficacy of smartphone‐based personal health records (PHRs) in patients with cardiovascular disease. This study aimed to examine the processes, outcomes and challenges associated with the implementation of integrated PHRs in patients with heart failure (HF) or coronary artery disease (CAD). Methods This
Kotaro Nochioka, Satoshi Yasuda, Takashi Shiroto, Saori Yamamoto, Haruka Sato, Yuhi Hasebe, Shigeo Godo, Makoto Nakano, Tomohiko Shindo, Kensuke Nishimiya, Kiyotaka Hao, Jun Takahashi, Keisuke Ido, Yoichi Kakuta, Hiroaki Shimizu, Hiroaki Shimokawa, Masaharu Nakayama   +16 more
wiley   +1 more source