4: p. 47. 3. Embi, P.J. and A.C. Leonard, FOCUS on clinical research informatics: Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from ...
PHYSICIANS SATISFACTION WITH CLINICAL DECISION SUPPORT SYSTEM: AN EXAMINATION OF ALERTS AND ALERT FATIGUE Mohammad Alarifi, M.S.1,2, Jake Luo, Ph.D1, Mansour Almanaa, M.S. 2,3 2 Emad Altuwayjiri 1
College of Engineering and Applied Science, University of Wisconsin – Milwaukee, Wisconsin, USA 2
3 School
College of Applied Medical Sciences, King Saud University, Riyadh, KSA
of Informatics and Computing, Indiana University - Purdue University Indianapolis, Indiana, USA
Introduction
Results
The Clinical Decision Support System (CDSS) is an application that can analyze data in order to offer advice during treatment procedures[1]. Using CDSS can help physicians to make better decisions[1]. There are many functionalities the CDS system, such as providing the most up-to-date drug information, referencing patient allergies against proposed medication, or prompting alarms for medicine interactions[2]. On the other hand, the one obstacle occurs when a physician is filling out a form for a patient. While filling out the form, pop-up messages keep appearing on the screen. Delay in updating CDS systems could increase the frequency of automated alerts. In addition, the lack of communication between the health institutions and governments to offer recommendations and solutions for this problem may increase the alert fatigue. There are many different definitions of alert fatigue, but in the clinical setting it is when physicians are exposed to too many clinical decision support system (CDSS) alerts that they may ultimately stop responding to them because the physician becomes desensitized to the alerts[3]. Objective This project is important, as the goal of it is to come up with suggestions and recommendations to minimize alert fatigue in order to encourage physicians to use CDSS, and to stimulate providers to activate these suggested solutions quickly. Methodology Google scholar and PubMed were used to find studies that discuss the strategies for combatting alert fatigue. The keywords used were ‘Alert fatigue’, ‘Alarm fatigue’, ‘Reduce alert fatigue’, ‘solutions alert fatigue’ and ‘strategies alert fatigue CDS’ and involved HIT (‘CDS’, ‘electronic health record’). This paper is based on a literature review
Conclusion This paper aggregates some of suggestions for decreasing alert fatigue. The most important three are: creating a uniform list of low importance DDI, the providers have to work with the health institutions and governments to come up with the recommendations and solutions for this problem, decreasing the risk of litigation. References 1. Kordek, M.E., Alert fatigue by other names: review of contributing fields regarding the'cry wolf'effect. 2013. 2. Menachemi, N. and T.H. Collum, Benefits and drawbacks of electronic health record systems. Risk management and healthcare policy, 2011. 4: p. 47. 3. Embi, P.J. and A.C. Leonard, FOCUS on clinical research informatics: Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study. Journal of the American Medical Informatics Association: JAMIA, 2012. 19(e1): p. e145.
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