Factors influencing alert acceptance: A novel approach for predicting the success of clinical decision support

Journal of the American Medical Informatics Association

Volumn 18, Issue 4, 2011, Pages 479-484

  Seidling, Hanna M ^a,b   Phansalkar, Shobha ^a,c   Seger, Diane L ^a,c   Paterno, Marilyn D ^a,c   Shaykevich, Shimon ^a   Haefeli, Walter E ^b   Bates, David W ^a,c  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b UNIVERSITY OF HEIDELBERG   (Germany)

^c PARTNERS HEALTHCARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTACID AGENT; CYCLOSPORIN; DOXYCYCLINE; ERYTHROMYCIN; PRESCRIPTION DRUG;

ADULT; ALERTNESS; ARTICLE; AWARENESS; CLINICAL ASSESSMENT; CLINICAL DECISION MAKING; CLINICAL DECISION SUPPORT SYSTEMS; CONTENT ANALYSIS; CONTROLLED STUDY; DRUG BLOOD LEVEL; DRUG POTENTIATION; DRUG SAFETY; DRUG TOLERABILITY; FEMALE; HEALTH CARE PERSONNEL; HEALTH CARE QUALITY; HEALTH CARE SYSTEM; HUMAN; KNOWLEDGE; MAJOR CLINICAL STUDY; MALE; MAXIMUM PLASMA CONCENTRATION; MEDICAL INFORMATION; PREDICTION; PRESCRIPTION; RISK FACTOR; UNSPECIFIED SIDE EFFECT;

ATTITUDE TO COMPUTERS; DECISION SUPPORT SYSTEMS, CLINICAL; DRUG INTERACTIONS; FEMALE; HUMAN ENGINEERING; HUMANS; LOGISTIC MODELS; MALE; MEDICATION SYSTEMS; MIDDLE AGED; MULTIVARIATE ANALYSIS; RETROSPECTIVE STUDIES; UNITED STATES; USER-COMPUTER INTERFACE;

EID: 79959682422     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2010-000039     Document Type: Article

References (27)

1. Johnston D, Pan E, Walker J. The Value of CPOE in ambulatory settings. JHIM 2003;18:5-8.
2. Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety. A ystematic review. Arch Intern Med 2003;16:1409-16.
3. Bobb A, Gleason K, Husch M, et al. The epidemiology of prescribing errors: the potential impact of computerized prescriber order entry. Arch Intern ed 2004;164:785-92.
4. Schedlbauer A, Prasad V, Mulvaney C, et al. What evidence supports the use of computerized alerts and prompts to improve clinicians prescribing ehavior? J Am Med Inform Assoc 2009;16:531-8.
5. Garg AX, Adhikari NK, McDonald H, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: systematic review. JAMA 2005;293:1223-38.
6. Aarts J, Dooreward H, Berg M. Understanding implementation: the case of a computerized physician order entry system in a large Dutch university edical center. J Am Med Inform Assoc 2004;11:207-16.
7. Woods DD, Cook RI. Nine steps to move forward from error. Cogn Technol Work 2002;4:137-44.
8. Weingart SN, Toth M, Sands DZ, et al. Physicians' decisions to override computerized drug alerts in primary care. Arch Intern Med 2003;163:2625-1.
9. van der Sijs H, Aarts J, Vulto A, et al. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc 2006;13:138-47.
10. Oren E, Shaffer ER, Guglielmo BJ. Impact of emerging technologies on medication errors and adverse drug events. Am J Health Syst Pharm 2003;60:1447-58.
11. Kuperman GJ, Bobb A, Payne TH, et al. Medication-related clinical decision support in computerized provider order entry systems: a review. J Am ed Inform Assoc 2007;14:29-40.
12. Payne TH, Nichol WP, Hoey P, et al. Characteristics and override rates of order checks in a practitioner order entry system. Proc AMIA Symp 002:602-6.
13. van der Sijs H, Lammers L, van den Tweel A, et al. Time-dependent drug-drug interaction alerts in care provider order entry: software may inhibit medication error reductions. J Am Med Inform Assoc 2009;16:864-8.
14. Seidling HM, Storch CH, Bertsche T, et al. Successful strategy to improve the specificity of electronic statin-drug interaction alerts. Eur J Clin Pharmacol 009;65:1149-57.
15. Phansalkar S, Edworthy J, Hellier E, et al. A review of human factors principles for the design and implementation of medication alerts in clinical nformation systems. J Am Med Inform Assoc 2010;17:493-501.
16. NHS Common User Interface. NHS Connecting for Health. http://www.cui.nhs.uk/Pages/NHSCommonUserInterface.aspx.
17. Sweidan M, Reeve JF, Brien JA, et al. Quality of drug interaction alerts in prescribing and dispensing software. Med J Aust 2009;190:251-4.
18. Wickens C, Carswell C. The proximity compatability principle: its psychological foundation and its relevance to display design. Hum Factors Aero Saf 995;37:473-94.
19. Isaac T, Weissman JS, Davis RB, et al. Overrides of medication alerts in ambulatory care. Arch Intern Med 2009;169:305-11.
20. Seidling HM, Schmitt SP, Bruckner T, et al. Patient-specific electronic decision support reduces prescription of excessive doses. Qual Saf Health Care 010;19:e15.
21. Taylor LK, Tamblyn R. Reasons for physician non-adherence to electronic drug alerts. Stud Health Technol Inform 2004;107:1101-5.
22. Paterno MD, Maviglia SM, Groman PN, et al. Tiering drug-drug interaction alerts by severity increases compliance rates. J Am Med Inform Assoc 009;16:40-6.
23. Shah NR, Seger AC, Seger DL, et al. Improving acceptance of computerized prescribing alerts in ambulatory care. J Am Med Inform Assoc 2006;13:5-1.
24. Black AD, Car J, Pagliari C, et al. The impact of eHealth on the quality and safety of health care: a systematic overview. PLoS Med 2011;8:e1000387.
25. Sirajuddin AM, Osheroff JA, Sittig DF, et al. Implementation pearls from a new guidebook on improving medication use and outcomes with clinical decision support. Effective CDS is essential for addressing healthcare performance improvement imperatives. J Healthc Inf Manag 2009;23:38-45.
26. Bates DW, Kuperman GJ, Wang S, et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a eality. J Am Med Inform Assoc 2003;10:523-30.
27. Ash JS, Sittig DF, Poon EG, et al. The extent and importance of unintended consequences related to computerized provider order entry. J Am Med nform Assoc 2007;14:415-23.