Results 11 to 20 of about 5,919 (173)

FHIR-PYrate: a data science friendly Python package to query FHIR servers

open access: yesBMC Health Services Research, 2023
Background We present FHIR-PYrate, a Python package to handle the full clinical data collection and extraction process. The software is to be plugged into a modern hospital domain, where electronic patient records are used to handle the entire patient’s ...
René Hosch   +8 more
doaj   +2 more sources

HL7 FHIR – Fast Healthcare Interoperability Resources: Eine Einführung

open access: yesGMS Medizinische Informatik, Biometrie und Epidemiologie, 2021
After more than 20 years of experience with HL7 v2.x and 15 years with Version 3.0, HL7 International () raised the question how the experience and knowledge gained could be migrated to a new, but simpler standard that is also more modern.
Oemig, Frank
doaj   +2 more sources

A Standards-Based, Cloud-Hosted CDS System for Gonorrhea Treatment and HIV Screening. [PDF]

open access: yesLearn Health Syst
ABSTRACT Objective Neisseria gonorrhoeae (or gonococcus, GC) infections have increased in incidence and antibiotic resistance, prompting updates to management guidelines. Additionally, patients with recent GC infections have been identified as a target population for human immunodeficiency virus (HIV) screening and prevention. With the rapidly changing
Shenvi E   +15 more
europepmc   +2 more sources

Designing Interoperable Health Care Services Based on Fast Healthcare Interoperability Resources: Literature Review

open access: yesJMIR Medical Informatics, 2023
BackgroundWith the advent of the digital economy and the aging population, the demand for diversified health care services and innovative care delivery models has been overwhelming.
Jingwen Nan, Li-Qun Xu
doaj   +1 more source

Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study

open access: yesJMIR Medical Informatics, 2019
BackgroundIn a multisite clinical research collaboration, institutions may or may not use the same common data model (CDM) to store clinical data. To overcome this challenge, we proposed to use Health Level 7’s Fast Healthcare Interoperability Resources (
Pfaff, Emily Rose   +10 more
doaj   +1 more source

openEHR-to-FHIR: Converting openEHR Compositions to Fast Healthcare Interoperability Resources (FHIR) for the German Corona Consensus Dataset (GECCO) [PDF]

open access: yes, 2022
The German Corona Consensus (GECCO) established a uniform dataset in FHIR format for exchanging and sharing interoperable COVID-19 patient specific data between health information systems (HIS) for universities.
Gietzelt, Matthias   +8 more
core   +1 more source

FHIRPACK (FHIR Python Analysis Client and Kit)

open access: yes, 2022
FHIRPACK (FHIR Python Analysis Client and Kit) is a general purpose FHIR client that simplifies the access, analysis and representation of FHIR and EHR data using PANDAS, an ETL philosophy and a functional syntax.
Jayson Salazar
core   +1 more source

Mapping from openEHR to FHIR and OMOP CDM to support interoperability for infection control

open access: yesGMS Medizinische Informatik, Biometrie und Epidemiologie, 2021
Healthcare delivery and health outcomes of patients could significantly improve if the different electronic health systems of medical institutions were interoperable, that is if they could exchange and combine their data in a meaningful way. In addition,
Rinaldi, Eugenia, Thun, Sylvia
doaj   +1 more source

FHIR-standardin hyödyntäminen terveydenhuollon järjestelmissä [PDF]

open access: yes, 2023
Opinnäytetyössä tutkittiin FHIR-standardin hyödyntämistä terveydenhuollon potilastietojärjestelmissä, keskittyen Kannan Reseptikeskuksen FHIR-muotoisten lääkemääräysten käsittelyyn.
Suovuori, Joni
core  

A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

open access: yesJMIR Medical Informatics, 2023
BackgroundIncreasing digitalization in the medical domain gives rise to large amounts of health care data, which has the potential to expand clinical knowledge and transform patient care if leveraged through artificial ...
Elena Williams   +15 more
doaj   +1 more source

Home - About - Disclaimer - Privacy