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

Non-randomized Protocols and Methods (ehealth) (568) Clinical Information and Decision Making (1407) Artificial Intelligence (1371) Machine Learning (1465) Decision Support for Health Professionals (1186) Clinical Informatics (1022)

Published on in Vol 10, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27532, first published .
Predicting and Responding to Clinical Deterioration in Hospitalized Patients by Using Artificial Intelligence: Protocol for a Mixed Methods, Stepped Wedge Study

Predicting and Responding to Clinical Deterioration in Hospitalized Patients by Using Artificial Intelligence: Protocol for a Mixed Methods, Stepped Wedge Study

Predicting and Responding to Clinical Deterioration in Hospitalized Patients by Using Artificial Intelligence: Protocol for a Mixed Methods, Stepped Wedge Study

Authors of this article:

Laura M Holdsworth1 Author Orcid Image ;   Samantha M R Kling1 Author Orcid Image ;   Margaret Smith1 Author Orcid Image ;   Nadia Safaeinili1 Author Orcid Image ;   Lisa Shieh1 Author Orcid Image ;   Stacie Vilendrer1 Author Orcid Image ;   Donn W Garvert1 Author Orcid Image ;   Marcy Winget1 Author Orcid Image ;   Steven M Asch1, 2 Author Orcid Image ;   Ron C Li1 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

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  2. Kester K, Hatton J, Kelly J, Carroll M, Lindsay M, Jordan N, Fuchs M, Patel M, Engel J, Granger B. Moving nursing innovation to prime time through the use of creative partnerships. Nursing Outlook 2022;70(6):820 View
  3. Veldhuis L, Woittiez N, Nanayakkara P, Ludikhuize J. Artificial Intelligence for the Prediction of In-Hospital Clinical Deterioration: A Systematic Review. Critical Care Explorations 2022;4(9):e0744 View
  4. Vilendrer S, Saliba‐Gustafsson E, Asch S, Brown‐Johnson C, Kling S, Shaw J, Winget M, Larson D. Evaluating clinician‐led quality improvement initiatives: A system‐wide embedded research partnership at Stanford Medicine. Learning Health Systems 2022;6(4) View
  5. Sutton E, Booth L, Ibrahim M, McCulloch P, Sujan M, Willars J, Mackintosh N. Am I safe? An Interpretative Phenomenological Analysis of Vulnerability as Experienced by Patients With Complications Following Surgery. Qualitative Health Research 2022;32(14):2078 View
  6. Fernando M, Abell B, Tyack Z, Donovan T, McPhail S, Naicker S. Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review. Journal of Medical Internet Research 2023;25:e45163 View