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

Theme Issue: Medical Informatics and COVID-19 (107) JMIR Theme Issue: COVID-19 Special Issue (2461) Clinical Information and Decision Making (1434) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Outbreak and Pandemic Preparedness and Management (1743) Infectious Diseases (non-STD/STI) (1592) Decision Support for Health Professionals (1210) Machine Learning (1501) Clinical Informatics (1050) Electronic Health Records (1068) Intensive Care Unit (ICU) (114)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25066, first published .
Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods

Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods

Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods

Authors of this article:

Brandon C Cummings1 Author Orcid Image ;   Sardar Ansari1 Author Orcid Image ;   Jonathan R Motyka1 Author Orcid Image ;   Guan Wang1 Author Orcid Image ;   Richard P Medlin Jr1 Author Orcid Image ;   Steven L Kronick1 Author Orcid Image ;   Karandeep Singh1, 2, 3, 4 Author Orcid Image ;   Pauline K Park1, 5 Author Orcid Image ;   Lena M Napolitano1, 5 Author Orcid Image ;   Robert P Dickson1, 2, 6 Author Orcid Image ;   Michael R Mathis1, 7 Author Orcid Image ;   Michael W Sjoding1, 2 Author Orcid Image ;   Andrew J Admon1, 2, 4 Author Orcid Image ;   Ross Blank1, 7 Author Orcid Image ;   Jakob I McSparron1, 2 Author Orcid Image ;   Kevin R Ward1, 4, 8 Author Orcid Image ;   Christopher E Gillies1, 4 Author Orcid Image
Article Authors Cited by (18) Tweetations (5) Metrics

Journals

  1. Başaran N, Özdede M, Uyaroğlu O, Şahin T, Özcan B, Oral H, Özışık L, Güven G, Tanrıöver M. Independent predictors of in-hospital mortality and the need for intensive care in hospitalized non-critical COVID-19 patients: a prospective cohort study. Internal and Emergency Medicine 2022;17(5):1413 View
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  5. Cummings B, Blackmer J, Motyka J, Farzaneh N, Cao L, Bisco E, Glassbrook J, Roebuck M, Gillies C, Admon A, Medlin R, Singh K, Sjoding M, Ward K, Ansari S. External Validation and Comparison of a General Ward Deterioration Index Between Diversely Different Health Systems. Critical Care Medicine 2023;51(6):775 View
  6. von Gerich H, Moen H, Block L, Chu C, DeForest H, Hobensack M, Michalowski M, Mitchell J, Nibber R, Olalia M, Pruinelli L, Ronquillo C, Topaz M, Peltonen L. Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence. International Journal of Nursing Studies 2022;127:104153 View
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  10. Byrd T, Southwell B, Ravishankar A, Tran T, Kc A, Phelan T, Melton-Meaux G, Usher M, Scheppmann D, Switzer S, Simon G, Tignanelli C. Validation of a Proprietary Deterioration Index Model and Performance in Hospitalized Adults. JAMA Network Open 2023;6(7):e2324176 View
  11. Benson B, Belle A, Lee S, Bassin B, Medlin R, Sjoding M, Ward K. Prediction of episode of hemodynamic instability using an electrocardiogram based analytic: a retrospective cohort study. BMC Anesthesiology 2023;23(1) View
  12. Mohammadi T, Rezaee M, Shahnematollahi S, Yaseri A, Ghorbani S, Namin S, Mohammadi B. The importance of predictors for in-hospital COVID-19 mortality changes over one month. Journal of the National Medical Association 2023;115(5):500 View
  13. Cho K, Kim J, Lee D, Lee S, Song M, Lim S, Cho Y, Jo Y, Shin Y, Lee Y. Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards. Critical Care 2023;27(1) View
  14. Tibbe M, Arneson S, Welsh C. Rise of the Virtual Nurse. AACN Advanced Critical Care 2023;34(4):314 View
  15. Barea Mendoza J, Valiente Fernandez M, Pardo Fernandez A, Gómez Álvarez J. Perspectivas actuales sobre el uso de la inteligencia artificial en la seguridad del paciente crítico. Medicina Intensiva 2024 View
  16. Barea Mendoza J, Valiente Fernandez M, Pardo Fernandez A, Gómez Álvarez J. Current perspectives on the use of artificial intelligence in critical patient safety. Medicina Intensiva (English Edition) 2024 View
  17. Byrd T, Phelan T, Ingraham N, Langworthy B, Bhasin A, Kc A, Melton-Meaux G, Tignanelli C. Beyond Unplanned ICU Transfers: Linking a Revised Definition of Deterioration to Patient Outcomes. Critical Care Medicine 2024;52(9):e439 View

Books/Policy Documents

  1. Brown-Jackson K. Transformational Interventions for Business, Technology, and Healthcare. View