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

Cognition and Information Processing in Human Factors Research (28) Decision Support for Health Professionals (1539) Clinical Information and Decision Making (1915) Clinical Informatics (1325) User-Centered Design Case Studies (713) Design and Usability of Clinical Software and EHRs (348)

Published on in Vol 9, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36976, first published .
Desired Characteristics of a Clinical Decision Support System for Early Sepsis Recognition: Interview Study Among Hospital-Based Clinicians

Desired Characteristics of a Clinical Decision Support System for Early Sepsis Recognition: Interview Study Among Hospital-Based Clinicians

Desired Characteristics of a Clinical Decision Support System for Early Sepsis Recognition: Interview Study Among Hospital-Based Clinicians

Authors of this article:

Jasmine A Silvestri1 Author Orcid Image ;   Tyler E Kmiec1 Author Orcid Image ;   Nicholas S Bishop1 Author Orcid Image ;   Susan H Regli2 Author Orcid Image ;   Gary E Weissman1, 3, 4, 5 Author Orcid Image
Article Authors Cited by (7) Tweetations (13) Metrics

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  1. Lazzarino R, Borek A, Honeyford K, Welch J, Brent A, Kinderlerer A, Cooke G, Patil S, Gordon A, Glampson B, Goodman P, Ghazal P, Daniels R, Costelloe C, Tonkin-Crine S. Views and Uses of Sepsis Digital Alerts in National Health Service Trusts in England: Qualitative Study With Health Care Professionals. JMIR Human Factors 2024;11:e56949 View
  2. Esposito P, Cappadona F, Marengo M, Fiorentino M, Fabbrini P, Quercia A, Garzotto F, Castellano G, Cantaluppi V, Viazzi F. Recognition patterns of acute kidney injury in hospitalized patients. Clinical Kidney Journal 2024;17(8) View
  3. Owoyemi A, Okpara E, Salwei M, Boyd A. End user experience of a widely used artificial intelligence based sepsis system. JAMIA Open 2024;7(4) View
  4. Lazzarino R, Borek A, Brent A, Welch J, Honeyford K, Daniels R, Kinderlerer A, Cooke G, Patil S, Gordon A, Goodman P, Glampson B, Ghazal P, Costelloe C, Tonkin-Crine S. The sepsis journey and where digital alerts can help: a qualitative, interview study with survivors and family members in England. Frontiers in Public Health 2025;13 View
  5. Draeger L, Fleischmann-Struzek C, Gehrke-Beck S, Heintze C, Thomas-Rueddel D, Schmidt K. Barriers and facilitators to optimal sepsis care – a systematized review of healthcare professionals’ perspectives. BMC Health Services Research 2025;25(1) View

Conference Proceedings

  1. Zhang S, Yu J, Xu X, Yin C, Lu Y, Yao B, Tory M, Padilla L, Caterino J, Zhang P, Wang D. Proceedings of the CHI Conference on Human Factors in Computing Systems. Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis View
  2. Hidayahtullah H, Lathif A, Rassyifa A. 2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA). Enhancing the Implementation of the Technology Acceptance Model (TAM) in the Drug Management Information System within the Pharmaceutical Installation of the Private Hospitals View