Literature DB >> 17915531

Using an automated risk assessment report to identify patients at risk for clinical deterioration.

John Whittington1, Robert White, Kathleen M Haig, Marla Slock.   

Abstract

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Year:  2007        PMID： 17915531     DOI： 10.1016/s1553-7250(07)33061-4

Source DB:  PubMed          Journal:  Jt Comm J Qual Patient Saf        ISSN： 1553-7250


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  3 in total

1.  Automated detection of physiologic deterioration in hospitalized patients.

Authors:  R Scott Evans; Kathryn G Kuttler; Kathy J Simpson; Stephen Howe; Peter F Crossno; Kyle V Johnson; Misty N Schreiner; James F Lloyd; William H Tettelbach; Roger K Keddington; Alden Tanner; Chelbi Wilde; Terry P Clemmer
Journal:  J Am Med Inform Assoc       Date:  2014-08-27       Impact factor: 4.497

2.  Assessing the Usability of a Novel Wearable Remote Patient Monitoring Device for the Early Detection of In-Hospital Patient Deterioration: Observational Study.

Authors:  Edward Itelman; Gadi Shlomai; Avshalom Leibowitz; Shiri Weinstein; Maya Yakir; Idan Tamir; Michal Sagiv; Aia Muhsen; Maxim Perelman; Daniella Kant; Eyal Zilber; Gad Segal
Journal:  JMIR Form Res       Date:  2022-06-09

3.  Predicting out of intensive care unit cardiopulmonary arrest or death using electronic medical record data.

Authors:  Carlos A Alvarez; Christopher A Clark; Song Zhang; Ethan A Halm; John J Shannon; Carlos E Girod; Lauren Cooper; Ruben Amarasingham
Journal:  BMC Med Inform Decis Mak       Date:  2013-02-27       Impact factor: 2.796
  3 in total

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