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

RCTs - Protocols/Proposals (eHealth) (541) Artificial Intelligence (1377) Clinical Information and Decision Making (1411) Decision Support for Health Professionals (1191) Cardiology (159) Cardiac Risk and Cardiac Risk Calculators (46)

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-Malpass1 Author Orcid Image ;   Sarah J Ratcliffe1 Author Orcid Image ;   Liza P Moorman2 Author Orcid Image ;   Matthew T Clark2 Author Orcid Image ;   Katy N Krahn1 Author Orcid Image ;   Oliver J Monfredi1 Author Orcid Image ;   Susan Hamil1 Author Orcid Image ;   Gholamreza Yousefvand1 Author Orcid Image ;   J Randall Moorman1, 2 Author Orcid Image ;   Jamieson M Bourque1 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) 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 2023;165(5):1861 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
  5. Monfredi O, Andris R, Lake D, Moorman J. A novel predictive analytics score reflecting accumulating disease burden—an investigation of the cumulative CoMET score. Physiological Measurement 2023;44(5):055005 View
  6. Keim-Malpass J, Moorman L, Moorman J, Hamil S, Yousefvand G, Monfredi O, Ratcliffe S, Krahn K, Jones M, Clark M, Bourque J. Prospective validation of clinical deterioration predictive models prior to intensive care unit transfer among patients admitted to acute care cardiology wards. Physiological Measurement 2024;45(6):065004 View
  7. Meyer L, Stead S, Salge T, Antons D. Artificial intelligence in acute care: A systematic review, conceptual synthesis, and research agenda. Technological Forecasting and Social Change 2024;206:123568 View