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

RCTs - Protocols/Proposals (eHealth) (397) Artificial Intelligence (662) Clinical Information and Decision Making (901) Decision Support for Health Professionals (734) Cardiology (62) Cardiac Risk and Cardiac Risk Calculators (24)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29631, first published .
Predictive Monitoring–Impact in Acute Care Cardiology Trial (PM-IMPACCT): Protocol for a Randomized Controlled Trial

Predictive Monitoring–Impact in Acute Care Cardiology Trial (PM-IMPACCT): Protocol for a Randomized Controlled Trial

Predictive Monitoring–Impact in Acute Care Cardiology Trial (PM-IMPACCT): Protocol for a Randomized Controlled Trial

Authors of this article:

Jessica Keim-Malpass 1 Author Orcid Image ;   Sarah J Ratcliffe 1 Author Orcid Image ;   Liza P Moorman 2 Author Orcid Image ;   Matthew T Clark 2 Author Orcid Image ;   Katy N Krahn 1 Author Orcid Image ;   Oliver J Monfredi 1 Author Orcid Image ;   Susan Hamil 1 Author Orcid Image ;   Gholamreza Yousefvand 1 Author Orcid Image ;   J Randall Moorman 1, 2 Author Orcid Image ;   Jamieson M Bourque 1 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Keim‐Malpass J, Moorman L, Monfredi O, Clark M, Bourque J. Beyond prediction: Off‐target uses of artificial intelligence‐based predictive analytics in a learning health system. Learning Health Systems 2023;7(1) View
  2. Hobensack M, Song J, Scharp D, Bowles K, Topaz M. Machine learning applied to electronic health record data in home healthcare: A scoping review. International Journal of Medical Informatics 2023;170:104978 View
  3. Young A, Strobel R, Rotar E, Norman A, Henrich M, Mehaffey J, Brady W, Teman N. Implementation of a non–intensive-care unit medical emergency team improves failure to rescue rates in cardiac surgery patients. The Journal of Thoracic and Cardiovascular Surgery 2022 View
  4. Su J, Zhao S, Lakshmanna K. An Interactive Nursing Knowledge System Based on Artificial Intelligence and Its Implications for Neonatal Care Management. Wireless Communications and Mobile Computing 2022;2022:1 View