Clinical reminders designed and implemented using cognitive and organizational science principles decrease reminder fatigue

Journal of the American Board of Family Medicine

Volumn 28, Issue 3, 2015, Pages 351-359

  Green, Lee A ^a   Nease, Donald ^b   Klinkman, Michael S ^c  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF COLORADO   (United States)

^c UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

Clinical decision support systems; Primary health care; Quality improvement; Reminder systems; User Computer interface

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; CHILD; CHRONIC DISEASE; CLINICAL PRACTICE; CLINICAL REMINDER SYSTEM; COGNITION; CONTROLLED STUDY; EARLY INTERVENTION; ELECTRONIC MEDICAL RECORD; FAMILY MEDICINE; FATIGUE; FEMALE; HEALTH CARE QUALITY; HUMAN; HUMAN COMPUTER INTERACTION; HUMAN FACTORS ENGINEERING; INFANT; MAJOR CLINICAL STUDY; MALE; MANAGED CARE; MIDDLE AGED; NEWBORN; PATIENT CARE; PRACTICE GUIDELINE; PRIMARY MEDICAL CARE; PRIMARY PREVENTION; PSYCHOLOGY; REMINDER FATIGUE; REMINDER SYSTEM; RESIDENCY EDUCATION; RESPONSE TIME; RETROSPECTIVE STUDY; SCHOOL CHILD; SCREENING TEST; YOUNG ADULT; BIOENGINEERING; EVALUATION STUDY; GENERAL PRACTICE; HOSPITAL INFORMATION SYSTEM; MENTAL FATIGUE; PRESCHOOL CHILD; PROCEDURES; STANDARDS; STATISTICAL MODEL; TOTAL QUALITY MANAGEMENT; VERY ELDERLY; WORKFLOW;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CHILD; CHILD, PRESCHOOL; COGNITION; FAMILY PRACTICE; FEMALE; HUMAN ENGINEERING; HUMANS; INFANT; INFANT, NEWBORN; LOGISTIC MODELS; MALE; MENTAL FATIGUE; MIDDLE AGED; POINT-OF-CARE SYSTEMS; QUALITY IMPROVEMENT; REMINDER SYSTEMS; RETROSPECTIVE STUDIES; WORKFLOW; YOUNG ADULT;

EID: 84929300962     PISSN: 15572625     EISSN: 15587118     Source Type: Journal    
DOI: 10.3122/jabfm.2015.03.140243     Document Type: Article

References (29)

1. Arditi C, Rège-Walther M, Wyatt JC, Durieux P, Burnand B. Computer-generated reminders delivered on paper to healthcare professionals; effects on professional practice and health care outcomes. Cochrane Database Syst Rev 2012;12:CD001175.
2. Bates DW, Cohen M, Leape LL, Overhage JM, Shabot MM, Sheridan T. Reducing the frequency of errors in medicine using information technology. J Am Med Inform Assoc 2001;8:299-308.
3. Hunt DL, Haynes RB, Hanna SE, Smith K. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. JAMA 1998;280:1339-46.
4. Johnston ME, Langton KB, Haynes RB, Mathieu A. Effects of computer-based clinical decision support systems on clinician performance and patient outcome. A critical appraisal of research. Ann Intern Med 1994;120:135-42.
5. Middleton B, Renner K, Leavitt M. Ambulatory practice clinical information management: problems and prospects. Healthc Inf Manage 1997;11:97-112.
6. Shiffman RN, Liaw Y, Brandt CA, Corb GJ. Computer-based guideline implementation systems: a systematic review of functionality and effectiveness. J Am Med Inform Assoc 1999;6:104-14.
7. Garg AX, Adhikari NKJ, McDonald H, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA 2005;293:1223-38.
8. Saleem JJ, Patterson ES, Militello L, et al. Impact of clinical reminder redesign on learnability, efficiency, usability, and workload for ambulatory clinic nurses. J Am Med Inform Assoc 2007;14:632-40.
9. Patterson ES, Doebbeling BN, Fung CH, Militello L, Anders S, Asch SM. Identifying barriers to the effective use of clinical reminders: bootstrapping multiple methods. J Biomed Inform 2005;38:189-99.
10. Saleem JJ, Patterson ES, Militello L, Render ML, Orshansky G, Asch SM. Exploring barriers and facilitators to the use of computerized clinical reminders. J Am Med Inform Assoc 2005;12:438-47.
11. Demakis JG, Beauchamp C, Cull WL, et al. Improving residents' compliance with standards of ambulatory care: results from the VA Cooperative Study on Computerized Reminders. JAMA 2000;284:1411-6.
12. Russ AL, Zillich AJ, McManus MS, Doebbeling BN, Saleem JJ. Prescribers' interactions with medication alerts at the point of prescribing: A multi-method, in situ investigation of the human-computer interaction. Int J Med Inform 2012;81:232-43.
13. Decision Consortium. Ann Arbor: University of Michigan, Department of Psychology. Available from: http://www.sitemaker.umich.edu/decisionconsortium/home/. Accessed March 6, 2015.
14. Crandall B, Klein GA, Hoffman RR. Working minds: a practitioner's guide to cognitive task analysis. Cambridge, MA: MIT Press; 2006.
15. Christensen RE, Fetters MD, Green LA. Opening the black box: cognitive strategies in family practice. Ann Fam Med 2005;3:144-50.
16. Horsky J, Zhang J, Patel VL. To err is not entirely human: complex technology and user cognition. J Biomed Inform 2005;38:264-6.
17. Beasley JW, Wetterneck TB, Temte J, et al. Information chaos in primary care: implications for physician performance and patient safety. J Am Board Fam Med 2011;24:745-51.
18. Katerndahl D, Wood R, Jaen CR. Family medicine outpatient encounters are more complex than those of cardiology and psychiatry. J Am Board Fam Med 2011;24:6-15.
19. Chisholm CD, Collison EK, Nelson DR, Cordell WH. Emergency department workplace interruptions: are emergency physicians "interrupt-driven"and "multitasking"? Acad Emerg Med 2000;7:1239-43.
20. AHRQ Patient Safety Network. Human factors engineering. Rockville, MD: Agency for Healthcare Research and Quality. Available from: http://www.psnet.ahrq.gov/primer.aspx?primerIDô20. (accessed 8 Oct 2012).
21. Interaction Design Foundation. Forcing functions. Available from: http://www.interaction-design.org/encyclopedia/forcing-functions.html (accessed 8 Oct 2012).
22. Doran T, Roland M. Lessons from major initiatives to improve primary care in the United kingdom. Health Aff (Millwood) 2010;29:1023-9.
23. Nease DE Jr, Green LA. ClinfoTracker: a generalizable prompting tool for primary care. J Am Board Fam Pract 2003;16:115-23.
24. Lo HG, Matheny ME, Seger DL, Bates DW, Gandhi TK. Impact of non-interruptive medication laboratory monitoring alerts in ambulatory care. J Am Med Inform Assoc 2009;16:66-71.
25. Scott GPT, Shah P, Wyatt JC, Makubate B, Cross FW. Making electronic prescribing alerts more effective: scenario-based experimental study in junior doctors. J Am Med Inform Assoc 2011;18:789-98.
26. Rose E. Life after go-live. Part 4: Preventing error with an EMR. J Healthc Inf Manag 2003;17:15-7.
27. Croskerry P. Clinical cognition and diagnostic error: applications of a dual process model of reasoning. Adv Health Sci Educ Theory Pract 2009;14:27-35.
28. Kahneman D. A perspective on judgment and choice: mapping bounded rationality. Am Psychol 2003;58:697-720.
29. Simons DJ, Chabris CF. Gorillas in our midst: sustained inattentional blindness for dynamic events. Perception 1999;28:1059-74.