Literature DB >> 22195232

SRCAST-Diagnosis: understanding how different members of a patient-care team interact with clinical decision support system.

Shizhuo Zhu1, Madhu Reddy, John Yen, Christopher DeFlitch.   

Abstract

A clinical diagnosis is a decision-making process that consists of not only the final diagnostic decision but also a series of information seeking decisions. Members of a patient-care team such as nurses, residents, and attending physicians play different roles but work collaboratively during this process. To better support the different roles and their collaborations during this process, we need to understand how different users interact with decision support systems. We developed SRCAST-Diagnosis to test how nurses, residents, and attending physicians use decision support system to improve diagnosis accuracy and resource efficiency. Nurses seemed more willing to take recommendations and therefore saved a greater amount of lab resources, but made less improvements on diagnosis accuracy. Attending physicians appeared more cautious in accepting SRCAST-Diagnosis recommendations. These findings will provide useful information for future CDSS design to support better collaborations of team members.

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Year:  2011        PMID: 22195232      PMCID: PMC3243130     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  11 in total

1.  Hypothesis-driven story building framework: enhancing iterative process support in clinical diagnostic decision support systems.

Authors:  Shizhuo Zhu; Madhu Reddy; John Yen
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

Review 2.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

Authors:  Amit X Garg; Neill K J Adhikari; Heather McDonald; M Patricia Rosas-Arellano; P J Devereaux; Joseph Beyene; Justina Sam; R Brian Haynes
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

Review 3.  Field trials of medical decision-aids: potential problems and solutions.

Authors:  J Wyatt; D Spiegelhalter
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

4.  Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review.

Authors:  D L Hunt; R B Haynes; S E Hanna; K Smith
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

5.  Interpreting nurses' responses to clinical documentation alerts.

Authors:  James J Cimino; Lincoln Farnum; Kelly Cochran; Steve D Moore; Patricia P Sengstack; Jon W McKeeby
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

Review 6.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success.

Authors:  Kensaku Kawamoto; Caitlin A Houlihan; E Andrew Balas; David F Lobach
Journal:  BMJ       Date:  2005-03-14

Review 7.  Evaluating informatics applications--clinical decision support systems literature review.

Authors:  B Kaplan
Journal:  Int J Med Inform       Date:  2001-11       Impact factor: 4.046

8.  The influence of children's vocal expressions, age, medical diagnosis and information obtained from parents on nurses' pain assessments and decisions regarding interventions.

Authors:  Jan P H Hamers; Huda Huijer Abu-Saad; Marcel A van den Hout; Ruud J G Halfens; Arnold D M Kester
Journal:  Pain       Date:  1996-04       Impact factor: 6.961

Review 9.  Cataract: the role of nurses in diagnosis, surgery and aftercare.

Authors:  Janet Marsden
Journal:  Nurs Times       Date:  2004 Feb 17-23

10.  Effects of computer-based clinical decision support systems on clinician performance and patient outcome. A critical appraisal of research.

Authors:  M E Johnston; K B Langton; R B Haynes; A Mathieu
Journal:  Ann Intern Med       Date:  1994-01-15       Impact factor: 25.391

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  2 in total

1.  Efficacy of CPP-ACP and CPP-ACPF for Prevention and Remineralization of White Spot Lesions in Orthodontic Patients: a Systematic Review of Randomized Controlled Clinical Trials.

Authors:  Mohammad Moslem Imani; Mohsen Safaei; Aida Afnaniesfandabad; Hedaiat Moradpoor; Masoud Sadeghi; Amin Golshah; Roohollah Sharifi; Hamid Reza Mozaffari
Journal:  Acta Inform Med       Date:  2019-09

2.  Development of Decision Support System to Predict Neurofeedback Response in ADHD: an Artificial Neural Network Approach.

Authors:  Leila Shahmoradi; Zahra Liraki; Mahtab Karami; Behrouz Alizadeh Savareh; Masoud Nosratabadi
Journal:  Acta Inform Med       Date:  2019-09
  2 in total

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