User-centered design improves the usability of drug-drug interaction alerts: Experimental comparison of interfaces

被引:32
作者
Luna, Daniel R. [1 ,2 ]
Rizzato Lede, Daniel A. [1 ]
Otero, Carlos M. [1 ]
Risk, Marcelo R. [2 ,3 ]
Bernaldo de Quiros, Fernan Gonzalez [1 ]
机构
[1] Hosp Italiano Buenos Aires, Hlth Informat Dept, Buenos Aires, DF, Argentina
[2] ITBA, Buenos Aires, DF, Argentina
[3] Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina
关键词
User-centered design; Participatory design; Clinical decision support systems; Drug interactions; Human computer interaction; Usability; CLINICAL DECISION-SUPPORT; INTENSIVE-CARE-UNIT; PARTICIPATORY DESIGN; HEALTH; SEVERITY; QUALITY; SYSTEMS; IMPACT; SAFETY;
D O I
10.1016/j.jbi.2017.01.009
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Clinical Decision Support Systems can alert health professionals about drug interactions when they prescribe medications. The Hospital Italiano de Buenos Aires in Argentina developed an electronic health record with drug-drug interaction alerts, using traditional software engineering techniques and requirements. Despite enhancing the drug-drug interaction knowledge database, the alert override rate of this system was very high. We redesigned the alert system using user-centered design (UCD) and participatory design techniques to enhance the drug-drug interaction alert interface. This paper describes the methodology of our UCD. We used crossover method with realistic, clinical vignettes to compare usability of the standard and new software versions in terms of efficiency, effectiveness, and user satisfaction. Our study showed that, compared to the traditional alert system, the UCD alert system was more efficient (alerts faster resolution), more effective (tasks completed with fewer errors), and more satisfying. These results indicate that UCD techniques that follow ISO 9241-210 can generate more usable alerts than traditional design. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:204 / 213
页数:10
相关论文
共 63 条
[1]   Differences among admitting departments in alerts and alert overrides for drug - drug interaction [J].
Ahn, Eun Kyoung ;
Kam, Hye Jin ;
Park, Dong Kyun ;
Jung, Eun Young ;
Lee, Youngho ;
Park, Rae Woong .
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2014, 23 (04) :390-397
[2]   Contextualization of Automatic Alerts During Electronic Prescription: Researchers' and Users' Opinions on Useful Context Factors [J].
Ammenwerth, Elske ;
Hackl, Werner O. ;
Riedmann, Daniel ;
Jung, Martin .
USER CENTRED NETWORKED HEALTH CARE, 2011, 169 :920-924
[3]  
[Anonymous], 2009, Human-computer interaction: Designing for diverse users and domains
[4]  
[Anonymous], J AM MED INFORM ASS
[5]  
[Anonymous], 2012, Health IT and Patient Safety: Building Safer Systems for Better Care
[6]   Ten commandments for effective clinical decision support: Making the practice of evidence-based medicine a reality [J].
Bates, DW ;
Kuperman, GJ ;
Wang, S ;
Gandhi, T ;
Kittler, A ;
Volk, L ;
Spurr, C ;
Khorasani, R ;
Tanasijevic, M ;
Middleton, B .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2003, 10 (06) :523-530
[7]   "Potential" Drug-Drug Interactions and the PICU: Should We Worry About ICU Polypharmacy? [J].
Bhatt-Mehta, Varsha .
PEDIATRIC CRITICAL CARE MEDICINE, 2016, 17 (05) :470-472
[8]   Effect of Clinical Decision-Support Systems A Systematic Review [J].
Bright, Tiffani J. ;
Wong, Anthony ;
Dhurjati, Ravi ;
Bristow, Erin ;
Bastian, Lori ;
Coeytaux, Remy R. ;
Samsa, Gregory ;
Hasselblad, Vic ;
Williams, John W. ;
Musty, Michael D. ;
Wing, Liz ;
Kendrick, Amy S. ;
Sanders, Gillian D. ;
Lobach, David .
ANNALS OF INTERNAL MEDICINE, 2012, 157 (01) :29-U77
[9]  
Brooke J, 1996, USABILITY EVALUATION, P189, DOI DOI 10.1201/9781498710411-35
[10]   Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care [J].
Chaudhry, Basit ;
Wang, Jerome ;
Wu, Shinyi ;
Maglione, Margaret ;
Mojica, Walter ;
Roth, Elizabeth ;
Morton, Sally C. ;
Shekelle, Paul G. .
ANNALS OF INTERNAL MEDICINE, 2006, 144 (10) :742-752