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Fast Healthcare Interoperability Resources (FHIR), created by HL7 more than a decade ago, has become a global standard for exchanging data. Communities of interest have organized under the HL7 FHIR Accelerator Program to develop implementation guides and applications for patient care, health payment systems, public health, patient engagement, clinical ...
Charles Jaffe +3 more
openaire +1 more source
Genomic Considerations for FHIR; eMERGE Implementation Lessons [PDF]
AbstractStructured representation of clinical genetic results is necessary for advancing precision medicine. The Electronic Medical Records and Genomics (eMERGE) Network’s Phase III program initially used a commercially developed XML message format for standardized and structured representation of genetic results for electronic health record (EHR ...
Mullai Murugan +25 more
openaire +3 more sources
A Systematic Literature Review of Interoperability in Healthcare Using FHIR [PDF]
Despite the available modern technologies, we live in a "fragmented" healthcare system, in which data is stored in multiple sources and a variety of formats and standards without direct communication.
Madhu Gottumukkala
doaj
A Fast Healthcare Interoperability Resources (FHIR) layer implemented over i2b2
Background Standards and technical specifications have been developed to define how the information contained in Electronic Health Records (EHRs) should be structured, semantically described, and communicated.
Abdelali Boussadi, Eric Zapletal
doaj +1 more source
SQL on FHIR - Tabular views of FHIR data using FHIRPath. [PDF]
Abstract Fast Healthcare Interoperability Resources (FHIR) is becoming a more common format forexchanging health data. However, it remains unfamiliar to most analytic users, and there is aneed to make it easier to integrate with existing tools. In 2023, the 'SQL on FHIR' working group began work on a standard, implementation-agnosticmethod for
Grimes J +8 more
europepmc +3 more sources
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 +6 more
doaj +1 more source
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 +13 more
doaj +1 more source
Striking a match between
AbstractInputs and OutputsThe Strike‐a‐Match Function, written in JavaScript version ES6+, accepts the input of two datasets (one dataset defining eligibility criteria for research studies or clinical decision support, and one dataset defining characteristics for an individual patient). It returns an output signaling whether the patient characteristics
Brian S. Alper +5 more
openaire +3 more sources
(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 +7 more
doaj +1 more source
Privacy-Preserving Healthcare Data Interactions: A Multi-Agent Approach Using LLMs
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 +4 more
doaj +1 more source

