This paper is in the following e-collection/theme issue:

Data Science (270) Clinical Information and Decision Making (1407) Electronic Health Records (1053)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19879, first published .
Integrating Genomics and Clinical Data for Statistical Analysis by Using GEnome MINIng (GEMINI) and Fast Healthcare Interoperability Resources (FHIR): System Design and Implementation

Integrating Genomics and Clinical Data for Statistical Analysis by Using GEnome MINIng (GEMINI) and Fast Healthcare Interoperability Resources (FHIR): System Design and Implementation

Integrating Genomics and Clinical Data for Statistical Analysis by Using GEnome MINIng (GEMINI) and Fast Healthcare Interoperability Resources (FHIR): System Design and Implementation

Authors of this article:

Julian Gruendner1 Author Orcid Image ;   Nicolas Wolf1 Author Orcid Image ;   Lars Tögel2 Author Orcid Image ;   Florian Haller2 Author Orcid Image ;   Hans-Ulrich Prokosch1 Author Orcid Image ;   Jan Christoph1 Author Orcid Image
Article Authors Cited by (15) Tweetations (5) Metrics

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  2. Duda S, Kennedy N, Conway D, Cheng A, Nguyen V, Zayas-Cabán T, Harris P. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review. Journal of the American Medical Informatics Association 2022;29(9):1642 View
  3. Song L, Li Q, Shi H, Zhang P, Algalil F. Treatment of Cancer Gene Changes in Chronic Myeloid Leukemia by Big Data Analysis Platform-Based Dasatinib. Applied Bionics and Biomechanics 2022;2022:1 View
  4. Vorisek C, Lehne M, Klopfenstein S, Mayer P, Bartschke A, Haese T, Thun S. Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review. JMIR Medical Informatics 2022;10(7):e35724 View
  5. Mehta S, Wright D, Black M, Merrie A, Anjomshoaa A, Munro F, Reeve A, McCall J, Print C. Impact of Clinical Data Veracity on Cancer Genomic Research. JNCI Cancer Spectrum 2022;6(6) View
  6. Vorisek C, Lehne M, Klopfenstein S, Bartschke A, Haese T, Thun S. Fast Healthcare Interoperability Resources (FHIR) for Clinical, Epidemiological and Public Health Research: A Systematic Review. SSRN Electronic Journal 2021 View
  7. Nan J, Xu L. Designing Interoperable Health Care Services Based on Fast Healthcare Interoperability Resources: Literature Review. JMIR Medical Informatics 2023;11:e44842 View
  8. Jeremian R, Xie P, Fotovati M, Lefrançois P, Litvinov I. Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk. Cancer Epidemiology, Biomarkers & Prevention 2023;32(11):1599 View
  9. Gazzarata R, Almeida J, Lindsköld L, Cangioli G, Gaeta E, Fico G, Chronaki C. HL7 Fast Healthcare Interoperability Resources (HL7 FHIR) in digital healthcare ecosystems for chronic disease management: Scoping review. International Journal of Medical Informatics 2024;189:105507 View
  10. Seixas-Lopes F, Lopes C, Marques M, Agostinho C, Jardim-Goncalves R. Musculoskeletal Disorder (MSD) Health Data Collection, Personalized Management and Exchange Using Fast Healthcare Interoperability Resources (FHIR). Sensors 2024;24(16):5175 View
  11. Pavão J, Bastardo R, Rocha N. A systematic review of the use of FHIR to support clinical research, public health and medical education. Data Technologies and Applications 2024 View
  12. Nan J, Chu Y, Guo R, Chen P. Research on the antibacterial properties of nanoscale zinc oxide particles comprehensive review. Frontiers in Materials 2024;11 View
  13. Brahimllari O, Eloranta S, Georgii-Hemming P, Haider Z, Koch S, Krstic A, Skarp F, Rosenquist R, Smedby K, Taylan F, Thorvaldsdottir B, Wirta V, Wästerlid T, Boman M. Smart variant filtering - A blueprint solution for massively parallel sequencing-based variant analysis. Health Informatics Journal 2024;30(4) View

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