Interface design principles for usable decision support: A targeted review of best practices for clinical prescribing interventions

Horský, J; Schiff, Gordon D.; Johnston, Douglas; Mercincavage, Lauren M.; Bell, Douglas S.; Middleton, Blackford

doi:10.1016/j.jbi.2012.09.002

Cited by 224 publications

(277 citation statements)

References 78 publications

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“…It is possible that physicians staffing these EDs have different knowledge or beliefs about decision tools than physicians from other practice settings. Even still, it is hard to justify the expen- diture and potential decision-support fatigue to create such systems given the small number of low-risk UGIB patients who are seen in general and even smaller number who are admitted [34]. While there may always be room for improvement, we observed a rate of only 2 avoidable admissions per year, making it difficult to suggest that more uniform application of GBS would substantially change healthcare expenditures.…”

Section: Discussionmentioning

confidence: 74%

Untitled

2017

Endosc Int Open

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Section: Discussionmentioning

confidence: 74%

Untitled

2017

Endosc Int Open

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“…Poor usability is one of the core barriers to adoption and a deterrent to DSS use. It is found that implementation efforts of highly usable IS and collected best available design conventions, procedures, practices and lessons learned in order to provide developers a short compendium of design goals and recommended principles [15]. The function of DSS is to help their users to make more effective decisions by providing information in a way that actively assists the decision process.…”

Section: Results and Findingsmentioning

confidence: 99%

The Effect of Usability and Information Quality on Decision Support Information System (DSS)

Atta¹

2017

Arts Social Sci J

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Decision-making is complex process that involves people and information system. A Decision Support Systems (DSS) is a set of specific class of computerized information systems that support decision making activities of businesses and organizations. There are certain factors that affect the performance of DSS such as information quality and usability of these systems. This study aims to introduce the concept of usability and information quality in general and examining their effects on the DSS. The study found that both usability and information quality have strong effect on the output of any information system and in particular DSS. The study recommended that the developers of information systems must pay high attention to develop the content provided by IS before process them by DSS as well as they ensure DSS is easy to use and get required information to support decision making process, for example the developers should focus on easy navigation through the system, good interface and reaching information in proper time.

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“…It has been suggested that underutilization or ignoring of CDSS interventions could be due, at least in part, to gaps in the logic presentation [41]. Participants in the development iteration were reluctant to trust non-standard warfarin doses when they had no access to the original algorithm or the algorithm website.…”

Section: Discussionmentioning

confidence: 99%

“…Our results of initial skepticism are similar to those reported in a study that implemented a personal digital assistant mechanism to support warfarin dosing [40]. In that study, some viewed the dosing assistant as a tool for providing better, safer care, while others with more experience prescribing warfarin felt the intervention had limited positive impact.It has been suggested that underutilization or ignoring of CDSS interventions could be due, at least in part, to gaps in the logic presentation [41]. Participants in the development iteration were reluctant to trust non-standard warfarin doses when they had no access to the original algorithm or the algorithm website.…”

mentioning

confidence: 99%

Iterative Development and Evaluation of a Pharmacogenomic-Guided Clinical Decision Support System for Warfarin Dosing

Melton¹,

Zillich²,

Saleem³

et al. 2016

Appl Clin Inform

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SummaryObjective: Pharmacogenomic-guided dosing has the potential to improve patient outcomes but its implementation has been met with clinical challenges. Our objective was to develop and evaluate a clinical decision support system (CDSS) for pharmacogenomic-guided warfarin dosing designed for physicians and pharmacists. Methods: Twelve physicians and pharmacists completed 6 prescribing tasks using simulated patient scenarios in two iterations (development and validation phases) of a newly developed pharmacogenomic-driven CDSS prototype. For each scenario, usability was measured via efficiency, recorded as time to task completion, and participants' perceived satisfaction which were compared using Kruskal-Wallis and Mann Whitney U tests, respectively. Debrief interviews were conducted and qualitatively analyzed. Usability findings from the first (i.e. development) iteration were incorporated into the CDSS design for the second (i.e. validation) iteration. Results: During the CDSS validation iteration, participants took more time to complete tasks with a median (IQR) of 183 (124-247) seconds versus 101 (73.5-197) seconds in the development iteration (p=0.01). This increase in time on task was due to the increase in time spent in the CDSS corresponding to several design changes. Efficiency differences that were observed between pharmacists and physicians in the development iteration were eliminated in the validation iteration. The increased use of the CDSS corresponded to a greater acceptance of CDSS recommended doses in the validation iteration (4% in the first iteration vs. 37.5% in the second iteration, p<0.001). Overall satisfaction did not change statistically between the iterations but the qualitative analysis revealed greater trust in the second prototype. Conclusions: A pharmacogenomic-guided CDSS has been developed using warfarin as the test drug. The final CDSS prototype was trusted by prescribers and significantly increased the time using the tool and acceptance of the recommended doses. This study is an important step toward incorporating pharmacogenomics into CDSS design for clinical testing. Research ArticleBL Background And SignificancePersonalized medicine is an emerging field with the fundamental objective to predict a patient's response in order to individualize drug therapy for improved medication effectiveness and safety. Pharmacogenomic-guided drug therapy is at the forefront of personalized medicine with over 150 United States Food and Drug Administration (FDA) approved drug labels incorporating pharmacogenomic information.[1] Nonetheless, the translation of pharmacogenomic testing into routine clinical practice has been slow due to several obstacles towards its implementation [2][3][4]. Currently, the routine use of clinical pharmacogenomics is limited to centers with resources to overcome these obstacles [5][6][7][8][9].A major obstacle in the implementation of clinical pharmacogenomics is the rapid pace that science has identified genetic polymorphisms that can predict drug response. Th...

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Interface design principles for usable decision support: A targeted review of best practices for clinical prescribing interventions

Cited by 224 publications

References 78 publications

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The Effect of Usability and Information Quality on Decision Support Information System (DSS)

Iterative Development and Evaluation of a Pharmacogenomic-Guided Clinical Decision Support System for Warfarin Dosing

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