150 related articles for article (PubMed ID: 38222416)
1. The SMART Text2FHIR Pipeline.
Miller TA; McMurry AJ; Jones J; Gottlieb D; Mandl KD
AMIA Annu Symp Proc; 2023; 2023():514-520. PubMed ID: 38222416
[No Abstract] [Full Text] [Related]
2. The SMART Text2FHIR Pipeline.
Miller TA; McMurry AJ; Jones J; Gottlieb D; Mandl KD
medRxiv; 2023 Mar; ():. PubMed ID: 37034815
[TBL] [Abstract][Full Text] [Related]
3. AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report.
Scheible R; Caliskan D; Fischer P; Thomczyk F; Zabka S; Schneider H; Boeker M; Schulz S; Prokosch HU; Gulden C
Stud Health Technol Inform; 2022 Jun; 290():32-36. PubMed ID: 35672965
[TBL] [Abstract][Full Text] [Related]
4. Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping Review.
Amar F; April A; Abran A
J Med Internet Res; 2024 Jan; 26():e45209. PubMed ID: 38289660
[TBL] [Abstract][Full Text] [Related]
5. Developing a scalable FHIR-based clinical data normalization pipeline for standardizing and integrating unstructured and structured electronic health record data.
Hong N; Wen A; Shen F; Sohn S; Wang C; Liu H; Jiang G
JAMIA Open; 2019 Dec; 2(4):570-579. PubMed ID: 32025655
[TBL] [Abstract][Full Text] [Related]
6. CQL4NLP: Development and Integration of FHIR NLP Extensions in Clinical Quality Language for EHR-driven Phenotyping.
Wen A; Rasmussen LV; Stone D; Liu S; Kiefer R; Adekkanattu P; Brandt PS; Pacheco JA; Luo Y; Wang F; Pathak J; Liu H; Jiang G
AMIA Jt Summits Transl Sci Proc; 2021; 2021():624-633. PubMed ID: 34457178
[TBL] [Abstract][Full Text] [Related]
7. Integrating Structured and Unstructured EHR Data Using an FHIR-based Type System: A Case Study with Medication Data.
Hong N; Wen A; Shen F; Sohn S; Liu S; Liu H; Jiang G
AMIA Jt Summits Transl Sci Proc; 2018; 2017():74-83. PubMed ID: 29888045
[TBL] [Abstract][Full Text] [Related]
8. Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP.
Hong N; Wen A; Mojarad MR; Sohn S; Liu H; Jiang G
AMIA Annu Symp Proc; 2018; 2018():574-583. PubMed ID: 30815098
[TBL] [Abstract][Full Text] [Related]
9. Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing.
Wulff A; Mast M; Hassler M; Montag S; Marschollek M; Jack T
Methods Inf Med; 2020 Dec; 59(S 02):e64-e78. PubMed ID: 33058101
[TBL] [Abstract][Full Text] [Related]
10. Identification of Preanesthetic History Elements by a Natural Language Processing Engine.
Suh HS; Tully JL; Meineke MN; Waterman RS; Gabriel RA
Anesth Analg; 2022 Dec; 135(6):1162-1171. PubMed ID: 35841317
[TBL] [Abstract][Full Text] [Related]
11. "fhircrackr": An R Package Unlocking Fast Healthcare Interoperability Resources for Statistical Analysis.
Palm J; Meineke FA; Przybilla J; Peschel T
Appl Clin Inform; 2023 Jan; 14(1):54-64. PubMed ID: 36696915
[TBL] [Abstract][Full Text] [Related]
12. Clinical Text Mining on FHIR.
Daumke P; Heitmann KU; Heckmann S; Martínez-Costa C; Schulz S
Stud Health Technol Inform; 2019 Aug; 264():83-87. PubMed ID: 31437890
[TBL] [Abstract][Full Text] [Related]
13. A natural language processing pipeline to synthesize patient-generated notes toward improving remote care and chronic disease management: a cystic fibrosis case study.
Hussain SA; Sezgin E; Krivchenia K; Luna J; Rust S; Huang Y
JAMIA Open; 2021 Jul; 4(3):ooab084. PubMed ID: 34604710
[TBL] [Abstract][Full Text] [Related]
14. Fast Healthcare Interoperability Resources (FHIR) in a FAIR Metadata Registry for COVID-19 Research.
Klopfenstein SAI; Vorisek CN; Shutsko A; Lehne M; Sass J; Löbe M; Schmidt CO; Thun S
Stud Health Technol Inform; 2021 Nov; 287():73-77. PubMed ID: 34795084
[TBL] [Abstract][Full Text] [Related]
15. A Data Transformation Methodology to Create Findable, Accessible, Interoperable, and Reusable Health Data: Software Design, Development, and Evaluation Study.
Sinaci AA; Gencturk M; Teoman HA; Laleci Erturkmen GB; Alvarez-Romero C; Martinez-Garcia A; Poblador-Plou B; Carmona-Pírez J; Löbe M; Parra-Calderon CL
J Med Internet Res; 2023 Mar; 25():e42822. PubMed ID: 36884270
[TBL] [Abstract][Full Text] [Related]
16. Breaking Barriers for Interoperability: A Reference Implementation of CSV-FHIR Transformation Using Open-Source Tools.
Alkarkoukly S; Kamal MM; Beyan O
Stud Health Technol Inform; 2023 May; 302():43-47. PubMed ID: 37203606
[TBL] [Abstract][Full Text] [Related]
17. FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model.
Xiao G; Pfaff E; Prud'hommeaux E; Booth D; Sharma DK; Huo N; Yu Y; Zong N; Ruddy KJ; Chute CG; Jiang G
J Biomed Inform; 2022 Oct; 134():104201. PubMed ID: 36089199
[TBL] [Abstract][Full Text] [Related]
18. Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data.
Sezgin E; Hussain SA; Rust S; Huang Y
JMIR Form Res; 2023 Mar; 7():e43014. PubMed ID: 36881467
[TBL] [Abstract][Full Text] [Related]
19. Ensembles of NLP Tools for Data Element Extraction from Clinical Notes.
Kuo TT; Rao P; Maehara C; Doan S; Chaparro JD; Day ME; Farcas C; Ohno-Machado L; Hsu CN
AMIA Annu Symp Proc; 2016; 2016():1880-1889. PubMed ID: 28269947
[TBL] [Abstract][Full Text] [Related]
20. Enabling Better Interoperability for HealthCare: Lessons in Developing a Standards Based Application Programing Interface for Electronic Medical Record Systems.
Kasthurirathne SN; Mamlin B; Kumara H; Grieve G; Biondich P
J Med Syst; 2015 Nov; 39(11):182. PubMed ID: 26446013
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
