Literature DB >> 29461892

Human Cognitive Limitations. Broad, Consistent, Clinical Application of Physiological Principles Will Require Decision Support.

Alan H Morris1.   

Abstract

Our education system seems to fail to enable clinicians to broadly understand core physiological principles. The emphasis on reductionist science, including "omics" branches of research, has likely contributed to this decrease in understanding. Consequently, clinicians cannot be expected to consistently make clinical decisions linked to best physiological evidence. This is a large-scale problem with multiple determinants, within an even larger clinical decision problem: the failure of clinicians to consistently link their decisions to best evidence. Clinicians, like all human decision-makers, suffer from significant cognitive limitations. Detailed context-sensitive computer protocols can generate personalized medicine instructions that are well matched to individual patient needs over time and can partially resolve this problem.

Entities:  

Keywords:  decision support; human cognitive limitation; information overload

Mesh:

Year:  2018        PMID: 29461892      PMCID: PMC5822395          DOI: 10.1513/AnnalsATS.201706-449KV

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  29 in total

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Review 7.  A new, evidence-based estimate of patient harms associated with hospital care.

Authors:  John T James
Journal:  J Patient Saf       Date:  2013-09       Impact factor: 2.844

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  4 in total

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Authors:  Eduardo A Trujillo Rivera; James M Chamberlain; Anita K Patel; Hiroki Morizono; Julia A Heneghan; Murray M Pollack
Journal:  Pediatr Crit Care Med       Date:  2022-05-05       Impact factor: 3.971

2.  Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.

Authors:  Alan H Morris; Brian Stagg; Michael Lanspa; James Orme; Terry P Clemmer; Lindell K Weaver; Frank Thomas; Colin K Grissom; Ellie Hirshberg; Thomas D East; Carrie Jane Wallace; Michael P Young; Dean F Sittig; Antonio Pesenti; Michela Bombino; Eduardo Beck; Katherine A Sward; Charlene Weir; Shobha S Phansalkar; Gordon R Bernard; B Taylor Thompson; Roy Brower; Jonathon D Truwit; Jay Steingrub; R Duncan Hite; Douglas F Willson; Jerry J Zimmerman; Vinay M Nadkarni; Adrienne Randolph; Martha A Q Curley; Christopher J L Newth; Jacques Lacroix; Michael S D Agus; Kang H Lee; Bennett P deBoisblanc; R Scott Evans; Dean K Sorenson; Anthony Wong; Michael V Boland; David W Grainger; Willard H Dere; Alan S Crandall; Julio C Facelli; Stanley M Huff; Peter J Haug; Ulrike Pielmeier; Stephen E Rees; Dan S Karbing; Steen Andreassen; Eddy Fan; Roberta M Goldring; Kenneth I Berger; Beno W Oppenheimer; E Wesley Ely; Ognjen Gajic; Brian Pickering; David A Schoenfeld; Irena Tocino; Russell S Gonnering; Peter J Pronovost; Lucy A Savitz; Didier Dreyfuss; Arthur S Slutsky; James D Crapo; Derek Angus; Michael R Pinsky; Brent James; Donald Berwick
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

3.  Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit.

Authors:  Davy van de Sande; Michel E van Genderen; Joost Huiskens; Diederik Gommers; Jasper van Bommel
Journal:  Intensive Care Med       Date:  2021-06-05       Impact factor: 17.440

4.  Transparent decision support for mechanical ventilation using visualization of clinical preferences.

Authors:  Stephen Edward Rees; Savino Spadaro; Francesca Dalla Corte; Nilanjan Dey; Jakob Bredal Brohus; Gaetano Scaramuzzo; David Lodahl; Robert Ravnholt Winding; Carlo Alberto Volta; Dan Stieper Karbing
Journal:  Biomed Eng Online       Date:  2022-01-24       Impact factor: 2.819

  4 in total

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