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Article Title: State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)-Based Data Model and Structure Implementations: Systematic Scoping Review.
Article Snippet: .. 12 | e58445 | p. 7https://medinform.jmir.org/2024/1/e58445 (page number not for citation purposes) XSL•FO RenderX Use caseValidation and evaluation Standards, tools, terminologies, and models Data transformation and mapping Data sourceFHIRa resourcesStudy Neonatal bilirubin management Feasibility check by clinicians EHR web services, FHIR services, Authorization services, SMART-onFHIR, native EHR FHIR APIs, SNOMED, and LOINC Local codes to LOINC, local codes to standard codes, and QUICKca to different FHIR versions and profiles Epic EHRPatient, Encounter, Observation, Procedure, and Related Person Kukhareva et al [38] aFHIR: Fast Healthcare Interoperability Resources. bEHR: electronic health record. cOMOP: Observational Medical Outcomes Partnership. dPCORnet: Patient-Centered Outcomes Research Network. eHL7: Health Level 7. fCDR: Clinical Data Repositories. gCDM: Common Data Model. hi2b2: informatics for integrating biology and the bedside. iMIMIC: Medical Information Mart for Intensive Care. jNLP: natural language processing. kCQL: Clinical Quality Language. lcTAKES: clinical Text Analysis and Knowledge Extraction System. mMedXN: Medication Extraction and Normalization. nPheKB: Phenotype Knowledge Base. oUIMA: Unstructured Information Management Architecture. pLOINC: Logical Observation Identifiers Names and Codes. qSNOMED CT: Systemized Nomenclature of Medicine–Clinical Terms. rRxNorm: medical prescription normalized. sATC: Anatomical Therapeutic Chemical. tACP: Australian Colorectal Cancer Profile. uCRF: case report form. vUPD: Unified Data Platform. wCAS: Common Analysis System. xAI: artificial intelligence. yETL: Extract, Transform, and Load. zDHP: Data Harmonization Pipeline. aaICD: International Classification of Diseases. abXSLT: Extensible Stylesheet Language Transformations. acPIT: Patient data Integration Tool. adCDWH: Carolina Data Warehouse for Health. aeGECCO: German Corona Consensus Dataset. afICD-10-GM: International Classification of Diseases–German Modification. agRDF: Resource Description Framework. ahAUROC: Area Under the Receiver Operating Characteristic Curve. aiAUPRC: Area Under the Precision-Recall Curve. ajFSH: FHIR Short Hand. akHAPI: HL7 application programming interface. alED: emergency department. amWBAN: Wireless Body Area Network. anRDB: Relational Database. aoFASTO: FHIR And Semantic Sensor Network based Type 1 diabetes Ontology. apSSN: Semantic Sensor Network. aqBFO: Basic Formal Ontology arCPG: clinical practice guideline. asOWL: Web Ontology Language. atCDSS: Clinical Decision Support System. ..

Extraction:

Article Title: State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)-Based Data Model and Structure Implementations: Systematic Scoping Review.
Article Snippet: .. 12 | e58445 | p. 7https://medinform.jmir.org/2024/1/e58445 (page number not for citation purposes) XSL•FO RenderX Use caseValidation and evaluation Standards, tools, terminologies, and models Data transformation and mapping Data sourceFHIRa resourcesStudy Neonatal bilirubin management Feasibility check by clinicians EHR web services, FHIR services, Authorization services, SMART-onFHIR, native EHR FHIR APIs, SNOMED, and LOINC Local codes to LOINC, local codes to standard codes, and QUICKca to different FHIR versions and profiles Epic EHRPatient, Encounter, Observation, Procedure, and Related Person Kukhareva et al [38] aFHIR: Fast Healthcare Interoperability Resources. bEHR: electronic health record. cOMOP: Observational Medical Outcomes Partnership. dPCORnet: Patient-Centered Outcomes Research Network. eHL7: Health Level 7. fCDR: Clinical Data Repositories. gCDM: Common Data Model. hi2b2: informatics for integrating biology and the bedside. iMIMIC: Medical Information Mart for Intensive Care. jNLP: natural language processing. kCQL: Clinical Quality Language. lcTAKES: clinical Text Analysis and Knowledge Extraction System. mMedXN: Medication Extraction and Normalization. nPheKB: Phenotype Knowledge Base. oUIMA: Unstructured Information Management Architecture. pLOINC: Logical Observation Identifiers Names and Codes. qSNOMED CT: Systemized Nomenclature of Medicine–Clinical Terms. rRxNorm: medical prescription normalized. sATC: Anatomical Therapeutic Chemical. tACP: Australian Colorectal Cancer Profile. uCRF: case report form. vUPD: Unified Data Platform. wCAS: Common Analysis System. xAI: artificial intelligence. yETL: Extract, Transform, and Load. zDHP: Data Harmonization Pipeline. aaICD: International Classification of Diseases. abXSLT: Extensible Stylesheet Language Transformations. acPIT: Patient data Integration Tool. adCDWH: Carolina Data Warehouse for Health. aeGECCO: German Corona Consensus Dataset. afICD-10-GM: International Classification of Diseases–German Modification. agRDF: Resource Description Framework. ahAUROC: Area Under the Receiver Operating Characteristic Curve. aiAUPRC: Area Under the Precision-Recall Curve. ajFSH: FHIR Short Hand. akHAPI: HL7 application programming interface. alED: emergency department. amWBAN: Wireless Body Area Network. anRDB: Relational Database. aoFASTO: FHIR And Semantic Sensor Network based Type 1 diabetes Ontology. apSSN: Semantic Sensor Network. aqBFO: Basic Formal Ontology arCPG: clinical practice guideline. asOWL: Web Ontology Language. atCDSS: Clinical Decision Support System. ..

Modification:

Article Title: State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)-Based Data Model and Structure Implementations: Systematic Scoping Review.
Article Snippet: .. 12 | e58445 | p. 7https://medinform.jmir.org/2024/1/e58445 (page number not for citation purposes) XSL•FO RenderX Use caseValidation and evaluation Standards, tools, terminologies, and models Data transformation and mapping Data sourceFHIRa resourcesStudy Neonatal bilirubin management Feasibility check by clinicians EHR web services, FHIR services, Authorization services, SMART-onFHIR, native EHR FHIR APIs, SNOMED, and LOINC Local codes to LOINC, local codes to standard codes, and QUICKca to different FHIR versions and profiles Epic EHRPatient, Encounter, Observation, Procedure, and Related Person Kukhareva et al [38] aFHIR: Fast Healthcare Interoperability Resources. bEHR: electronic health record. cOMOP: Observational Medical Outcomes Partnership. dPCORnet: Patient-Centered Outcomes Research Network. eHL7: Health Level 7. fCDR: Clinical Data Repositories. gCDM: Common Data Model. hi2b2: informatics for integrating biology and the bedside. iMIMIC: Medical Information Mart for Intensive Care. jNLP: natural language processing. kCQL: Clinical Quality Language. lcTAKES: clinical Text Analysis and Knowledge Extraction System. mMedXN: Medication Extraction and Normalization. nPheKB: Phenotype Knowledge Base. oUIMA: Unstructured Information Management Architecture. pLOINC: Logical Observation Identifiers Names and Codes. qSNOMED CT: Systemized Nomenclature of Medicine–Clinical Terms. rRxNorm: medical prescription normalized. sATC: Anatomical Therapeutic Chemical. tACP: Australian Colorectal Cancer Profile. uCRF: case report form. vUPD: Unified Data Platform. wCAS: Common Analysis System. xAI: artificial intelligence. yETL: Extract, Transform, and Load. zDHP: Data Harmonization Pipeline. aaICD: International Classification of Diseases. abXSLT: Extensible Stylesheet Language Transformations. acPIT: Patient data Integration Tool. adCDWH: Carolina Data Warehouse for Health. aeGECCO: German Corona Consensus Dataset. afICD-10-GM: International Classification of Diseases–German Modification. agRDF: Resource Description Framework. ahAUROC: Area Under the Receiver Operating Characteristic Curve. aiAUPRC: Area Under the Precision-Recall Curve. ajFSH: FHIR Short Hand. akHAPI: HL7 application programming interface. alED: emergency department. amWBAN: Wireless Body Area Network. anRDB: Relational Database. aoFASTO: FHIR And Semantic Sensor Network based Type 1 diabetes Ontology. apSSN: Semantic Sensor Network. aqBFO: Basic Formal Ontology arCPG: clinical practice guideline. asOWL: Web Ontology Language. atCDSS: Clinical Decision Support System. ..



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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