Literature DB >> 20978406

Prototype to practice: Developing and testing a clinical decision support system for secondary stroke prevention in a veterans healthcare facility.

Jane A Anderson1, Pamela Willson, Nancy J Peterson, Chris Murphy, Thomas A Kent.   

Abstract

A clinical decision support system that guides nurse practitioners and other healthcare providers in secondary stroke prevention was developed by a multidisciplinary team with funding received from the Veterans Health Administration Office of Nursing Services. This article presents alpha-testing results obtained while using an integrated model for clinical decision support system development that emphasizes end-user perspectives throughout the development process. Before-after and descriptive methods were utilized to evaluate functionality and usability of the prototype among a sample of multidisciplinary clinicians. The predominant functionality feature of the tool is automated prompting and documentation of secondary stroke prevention guidelines in the electronic medical record. Documentation of guidelines was compared among multidisciplinary providers (N = 15) using test case scenarios and two documentation systems, standard versus the prototype. Usability was evaluated with an investigator-developed questionnaire and one open-ended question. The prototype prompted a significant increase (P < .05) in provider documentation for six of 11 guidelines as compared with baseline documentation while using the standard system. Of a possible 56 points, usability was scored high (mean, 48.9 [SD, 6.8]). These results support that guideline prompting has been successfully engineered to produce a usable and useful clinical decision support system for secondary stroke prevention.

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Year:  2010        PMID: 20978406     DOI: 10.1097/NCN.0b013e3181f69c5b

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  6 in total

1.  Exploring a Need for a Cardiometabolic Disease Staging System as a Computerized Clinical Decision Support Tool: Qualitative Study.

Authors:  Aizhan Karabukayeva; Jami L Anderson; Allyson G Hall; Sue S Feldman; Tapan Mehta
Journal:  JMIR Form Res       Date:  2022-07-01

2.  Prototype Development of a Responsive Emotive Sensing System (DRESS) to aid older persons with dementia to dress independently.

Authors:  Diane Feeney Mahoney; Winslow Burleson; Cecil Lozano; Vijay Ravishankar; Edward Leo Mahoney
Journal:  Gerontechnology       Date:  2015

3.  'Decision support system (DSS) for prevention of cardiovascular disease (CVD) among hypertensive (HTN) patients in Andhra Pradesh, India'--a cluster randomised community intervention trial.

Authors:  Raghupathy Anchala; Hira Pant; Dorairaj Prabhakaran; Oscar H Franco
Journal:  BMC Public Health       Date:  2012-05-31       Impact factor: 3.295

4.  Evaluation of effectiveness and cost-effectiveness of a clinical decision support system in managing hypertension in resource constrained primary health care settings: results from a cluster randomized trial.

Authors:  Raghupathy Anchala; Stephen Kaptoge; Hira Pant; Emanuele Di Angelantonio; Oscar H Franco; D Prabhakaran
Journal:  J Am Heart Assoc       Date:  2015-01-05       Impact factor: 5.501

5.  Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents.

Authors:  Carolyn E Clausen; Bennett L Leventhal; Øystein Nytrø; Roman Koposov; Odd Sverre Westbye; Thomas Brox Røst; Victoria Bakken; Kaban Koochakpour; Ketil Thorvik; Norbert Skokauskas
Journal:  BMC Med Inform Decis Mak       Date:  2020-09-17       Impact factor: 2.796

6.  Development and validation of a clinical and computerised decision support system for management of hypertension (DSS-HTN) at a primary health care (PHC) setting.

Authors:  Raghupathy Anchala; Emanuele Di Angelantonio; Dorairaj Prabhakaran; Oscar H Franco
Journal:  PLoS One       Date:  2013-11-05       Impact factor: 3.240

  6 in total

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