Correction to: Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system (BMC Medical Informatics and Decision Making (2017) 17 (36) DOI: 10.1186/s12911-017-0430-8);Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system

BMC Medical Informatics and Decision Making

Volumn 17, Issue 1, 2017, Pages

  Ancker, Jessica S ^a,b,e   Edwards, Alison ^a,b   Nosal, Sarah ^c,d   Hauser, Diane ^c   Mauer, Elizabeth ^a   Kaushal, Rainu ^a,b  

^a WEILL CORNELL MEDICAL COLLEGE   (United States)

^b Health Information Technology Evaluation Collaborative HITEC   (United States)

^c MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^d Institute for Family Health   (United States)

^e TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Alert fatigue; Clinical decision support; Electronic health records

Indexed keywords

ADULT; ALERT FATIGUE (HEALTH CARE); CLINICAL DECISION SUPPORT SYSTEM; ELECTRONIC HEALTH RECORD; GENERAL PRACTITIONER; HUMAN; NURSE PRACTITIONER; RETROSPECTIVE STUDY; STANDARDS; STATISTICS AND NUMERICAL DATA; WORKLOAD;

ADULT; ALERT FATIGUE, HEALTH PERSONNEL; DECISION SUPPORT SYSTEMS, CLINICAL; ELECTRONIC HEALTH RECORDS; HUMANS; NURSE PRACTITIONERS; PHYSICIANS, PRIMARY CARE; RETROSPECTIVE STUDIES; WORKLOAD;

EID: 85018510378     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/s12911-019-0971-0     Document Type: Erratum

References (40)

1. Bates DW, Leape LL, Cullen DJ, et al. Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA. 1998;280(15):1311-6.
2. Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med. 2003;163(12):1409-16.
3. Kuperman GJ, Bobb A, Payne TH, et al. Medication-related clinical decision support in computerized provider order entry systems: a review. J Am Med Inform Assoc. 2007;14(1):29-40.
4. Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records. N Engl J Med. 2010;363:501-4.
5. Dexter PR, Perkins S, Overhage JM, Maharry K, Kohler RB, McDonald CJ. A computerized reminder system to increase the use of preventive care for hospitalized patients. N Engl J Med. 2001;345(13):965-70.
6. Bogucki B, Jacobs BR, Hingle J. Computerized reminders reduce the use of medications during shortages. J Am Med Inform Assoc. 2004;11(4):278-80.
7. van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2006;13(2):138-47.
8. Hsieh TC, Kuperman GJ, Jaggi T, et al. Characteristics and consequences of drug allergy alert overrides in a computerized physician order entry system. J Am Med Inform Assoc. 2004;11(6):482-91.
9. Carspecken CW, Sharek PJ, Longhurst C, Pageler NM. A clinical case of electronic health record drug alert fatigue: consequences for patient outcome. Pediatrics. 2013;131(6):e1970-3.
10. Weingart SN, Toth M, Sands DZ, Aronson MD, Davis RB, Phillips RS. Physicians’ decisions to override computerized drug alerts in primary care. Arch Intern Med. 2003;163(21):2625-31.
11. Oppenheim MI, Vidal C, Velasco FT, et al. Impact of a computerized alert during physician order entry on medication dosing in patients with renal impairment. In: Proceedings of the AMIA annual symposium. 2002. p. 577-81.
12. Nanji KC, Slight SP, Seger DL, et al. Overrides of medication-related clinical decision support alerts in outpatients. Journal of the American Medical Informatics Association. 2013;21(3):487-91.
13. Ash JS, Berg M, Coiera E. Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. J Am Med Inform Assoc. 2004;11(2):104-12.
14. Phansalkar S, van der Sijs H, Tucker AD, et al. Drug-drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records. J Am Med Inform Assoc. 2013;20(3):489-93.
15. van der Sijs H, van Gelder T, Vulto A, Berg M, Aarts J. Understanding handling of drug safety alerts: a simulation study. Int J Med Inform. 2010;79(5):361-9.
16. Rayo MF, Moffatt-Bruce SD. Alarm system management: evidence-based guidance encouraging direct measurement of informativeness to improve alarm response. BMJ Qual Saf. 2015;24(4):282-86.
17. Dixon SR, Wickens CD, McCarley JS. How do automation false alarms and misses affect operator compliance and reliance? Proceedings of the human factors and ergonomics society 50th annual meeting, vol. 50. 2006. p. 25-9.
18. Endsley M, Jones DG. Designing for situational awareness: an approach to user-centered design. 2nd ed. Boca Raton, FL: CRC Press, Taylor & Francis Group; 2004.
19. Embi PJ, Leonard AC. Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study. J Am Med Inform Assoc. 2012;19(e1):e145-8.
20. Lawless ST. Time for alert-ology or RE-sensitization? Pediatrics. 2013;131(6):e1948-9.
21. Simpao AF, Ahumada LM, Desai BR, et al. Optimization of drug-drug interaction alert rules in a pediatric hospital’s electronic health record system using a visual analytics dashboard. Journal of the Am Med Inform Assoc. 2014;22(2):361-69.
22. Baseman JG, Revere D, Painter I, Toyoji M, Thiede H, Duchin J. Public health communications and alert fatigue. BMC Health Serv Res. 2013;13:295.
23. Miller AM, Boro MS, Korman NE, Davoren JB. Provider and pharmacist responses to warfarin drug-drug interaction alerts: a study of healthcare downstream of CPOE alerts. J Am Med Inform Assoc. 2011;18 Suppl 1:i45-50.
24. Bryant AD, Fletcher GS, Payne TH. Drug interaction alert override rates in the meaningful use era. No evidence of progress. Appl Clin Inform. 2014;5(3):802-13.
25. Abookire SA, Teich JM, Sandige H, et al. Improving allergy alerting in a computerized physician order entry system. Proc AMIA Symp. 2000;2000:2-6.
26. Shah NR, Seger AC, Seger DL, et al. Improving acceptance of computerized prescribing alerts in ambulatory care. J Am Med Inform Assoc. 2006;13(1):5-11.
27. Lin C-P, Payne TH, Nichol WP, Hoey PJ, Anderson CL, Gennari JH. Evaluating clinical decision support systems: monitoring CPOE order check override rates in the department of veterans Affairs’ computerized patient record system. J Am Med Inform Assoc. 2008;15(5):620-6.
28. Isaac T, Weissman JS, Davis RB, et al. Overrides of medication alerts in ambulatory care. Arch Intern Med. 2009;169(3):305-11.
29. Ancker JS, Kern LM, Edwards A, et al. How is the electronic health record being used? Use of EHR data to assess physician-level variability in technology use. J Am Med Inform Assoc. 2014:epub ahead of print June 12, 2014.
30. Ancker JS, Kern LM, Edwards AM, et al. Associations between health care quality and use of electronic health record functions in ambulatory care. J Am Med Inform Assoc. 2015 In press.
31. Weiner J, Starfield B, Steinwachs D, Mumford L. Development and application of a population-oriented measure of ambulatory care case-mix. Med Care. 1991;29(5):452-72.
32. Stultz JS, Nahata MC. Appropriateness of commercially available and partially customized medication dosing alerts among pediatric patients. J Am Med Inform Assoc. 2014;21(e1):e35-42.
33. Feldman PH, McDonald MV. Exploring the utility of automated drug alerts in home health care. J Healthc Qual. 2006;28(1):29-40.
34. Huber PJ. The behavior of maximum likelihood estimates under nonstandard conditions. In: Proceedings of the fifth Berkeley symposium on mathematical statistics and probability. 1967.
35. Rogers WH. Regression standard errors in clustered samples. In: Stata Technical Bulletin 13: 19-23..Stata Technical Bulletin Reprints. Vol 3. College Station, TX: Stata Press; 1993. p. 88-94.
36. Vulkan N. An economist’s perspective on probability matching. J Econ Surv. 2000;14(1):101-18.
37. Voogdt-Pruis H, Van Ree J, Gorgels A, Beusmans G. Adherence to a guideline on cardiovascular prevention: a comparison between general practitioners and practice nurses. Int J Nurs Stud. 2011;48(7):798-807.
38. Lenz ER, Mundinger MON, Hopkins SC, Lin SX, Smolowitz JL. Diabetes care processes and outcomes in patients treated by nurse practitioners or physicians. Diabetes Educ. 2002;28(4):590-8.
39. Martin G. Education and Training: Family Physicians and Nurse Practitioners. American Academy of Family Physicians. 2010. Leawood, KS.
40. Taylor LK, Tamblyn R. Reasons for physician non-adherence to electronic drug alerts. Stud Health Technol Inform. 2004;107(Pt 2):1101-5.