Published on in Vol 10, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42429, first published .
Fast Healthcare Interoperability Resources for Inpatient Deterioration Detection With Time-Series Vital Signs: Design and Implementation Study

Fast Healthcare Interoperability Resources for Inpatient Deterioration Detection With Time-Series Vital Signs: Design and Implementation Study

Fast Healthcare Interoperability Resources for Inpatient Deterioration Detection With Time-Series Vital Signs: Design and Implementation Study

Authors of this article:

Tzu-Wei Tseng1 Author Orcid Image ;   Chang-Fu Su2 Author Orcid Image ;   Feipei Lai1 Author Orcid Image

Journals

  1. Borna S, Maniaci M, Haider C, Maita K, Torres-Guzman R, Avila F, Lunde J, Coffey J, Demaerschalk B, Forte A. Artificial Intelligence Models in Health Information Exchange: A Systematic Review of Clinical Implications. Healthcare 2023;11(18):2584 View
  2. 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
  3. He Z, Li W. AI-Driven Management of Type 2 Diabetes in China: Opportunities and Challenges. Diabetes, Metabolic Syndrome and Obesity 2025;Volume 18:85 View
  4. Wollen J, Nguyen T, Coton C, DeWildt G, Cooksey G, Cohen A, Hoang N, Okpala M, Gonzalez M, Wang M, Izeogu C, Bernstam E, Green C, Savitz S, Yamal J, Sharrief A. Development of a Customizable Web-Based Dashboard for Remote Blood Pressure Monitoring: Feasibility and Usability Implementation Study. JMIR Formative Research 2025;9:e62700 View

Conference Proceedings

  1. Deng B, Xu C, Li H, Huang Y, Hou M, Bian J. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation View