fhir services Search Results


fhir restful web services  (MongoDB Inc)
90
MongoDB Inc fhir restful web services
Dynamic models.
Fhir Restful Web Services, supplied by MongoDB Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/fhir+services/pmc11472501-17-25-24?v=MongoDB+Inc
Average 90 stars, based on 1 article reviews
fhir restful web services - by Bioz Stars, 2026-07
90/100 stars
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fhir services  (RenderX Inc)
90
RenderX Inc fhir services
Dynamic models.
Fhir Services, supplied by RenderX Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/fhir+services/pm39316433-128-36-13?v=RenderX+Inc
Average 90 stars, based on 1 article reviews
fhir services - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

Image Search Results


Dynamic models.

Journal: JMIR Medical Informatics

Article Title: State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)–Based Data Model and Structure Implementations: Systematic Scoping Review

doi: 10.2196/58445

Figure Lengend Snippet: Dynamic models.

Article Snippet: Ismail et al [ ] , Patient, Observation, Condition, and Practitioner , MCHHJ bh and CRMHIS bi , Data elements to FHIR resources , MongoDB, FHIR RESTful web services, DAO bj , Google’s REST console app , User study and questionnaires, generate requests and view responses , Maternal health.

Techniques: Plasmid Preparation, Biomarker Discovery, Comparison, Generated

NLP2FHIR data normalization pipeline and its applications . cTAKES: Clinical Text Analysis and Knowledge Extraction System; EHR: Electronic Health Record; FHIR: Fast Healthcare Interoperability Resources; MedXN: Medication Extraction and Normalization; ML: Machine Learning; NLP: Natural Language Processing.

Journal: JMIR Medical Informatics

Article Title: State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)–Based Data Model and Structure Implementations: Systematic Scoping Review

doi: 10.2196/58445

Figure Lengend Snippet: NLP2FHIR data normalization pipeline and its applications . cTAKES: Clinical Text Analysis and Knowledge Extraction System; EHR: Electronic Health Record; FHIR: Fast Healthcare Interoperability Resources; MedXN: Medication Extraction and Normalization; ML: Machine Learning; NLP: Natural Language Processing.

Article Snippet: Ismail et al [ ] , Patient, Observation, Condition, and Practitioner , MCHHJ bh and CRMHIS bi , Data elements to FHIR resources , MongoDB, FHIR RESTful web services, DAO bj , Google’s REST console app , User study and questionnaires, generate requests and view responses , Maternal health.

Techniques: Extraction

Frequency of Fast Healthcare Interoperability Resources (FHIR) resources mentions in the included articles (n=31).

Journal: JMIR Medical Informatics

Article Title: State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)–Based Data Model and Structure Implementations: Systematic Scoping Review

doi: 10.2196/58445

Figure Lengend Snippet: Frequency of Fast Healthcare Interoperability Resources (FHIR) resources mentions in the included articles (n=31).

Article Snippet: Ismail et al [ ] , Patient, Observation, Condition, and Practitioner , MCHHJ bh and CRMHIS bi , Data elements to FHIR resources , MongoDB, FHIR RESTful web services, DAO bj , Google’s REST console app , User study and questionnaires, generate requests and view responses , Maternal health.

Techniques:

The summary of previous reviews considering FHIR a .

Journal: JMIR Medical Informatics

Article Title: State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)–Based Data Model and Structure Implementations: Systematic Scoping Review

doi: 10.2196/58445

Figure Lengend Snippet: The summary of previous reviews considering FHIR a .

Article Snippet: Ismail et al [ ] , Patient, Observation, Condition, and Practitioner , MCHHJ bh and CRMHIS bi , Data elements to FHIR resources , MongoDB, FHIR RESTful web services, DAO bj , Google’s REST console app , User study and questionnaires, generate requests and view responses , Maternal health.

Techniques: Selection