Informing the design of clinical decision support services for evaluation of children with minor blunt head trauma in the emergency department: A sociotechnical analysis

Journal of Biomedical Informatics

Volumn 46, Issue 5, 2013, Pages 905-913

  Sheehan, Barbara ^a   Nigrovic, Lise E ^b   Dayan, Peter S ^c   Kuppermann, Nathan ^d   Ballard, Dustin W ^e   Alessandrini, Evaline ^f   Bajaj, Lalit ^g   Goldberg, Howard ^h   Hoffman, Jeffrey ⁱ   Offerman, Steven R ^e   Mark, Dustin G ^e   Swietlik, Marguerite ^g   Tham, Eric ^g   Tzimenatos, Leah ^d   Vinson, David R ^e   Jones, Grant S ^c   Bakken, Suzanne ^j  

^a New York Presbyterian Morgan Stanley Children's Hospital   (United States)

^b BOSTON CHILDREN S HOSPITAL   (United States)

^c Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e KAISER PERMANENTE   (United States)

^f UNIVERSITY OF CINCINNATI COLLEGE OF MEDICINE   (United States)

^g Nutrition Obesity Research Center at the University of Colorado   (United States)

^h PARTNERS HEALTHCARE   (United States)

ⁱ NATIONWIDE CHILDREN S HOSPITAL   (United States)

^j Howard Hughes Medical Institute   (United States)

more..

Author keywords

Clinical decision support; Emergency department; Pediatrics; Prediction rules; Traumatic brain injury

Indexed keywords

ACADEMIC MEDICAL CENTERS; CLINICAL DECISION SUPPORT; ELECTRONIC HEALTH RECORD (EHRS); EMERGENCY DEPARTMENTS; INTERDISCIPLINARY COMMUNICATIONS; PREDICTION RULES; SOCIOTECHNICAL ENVIRONMENTS; TRAUMATIC BRAIN INJURIES;

BRAIN; COMMUNICATION; COMPLEX NETWORKS; DESIGN; EMERGENCY ROOMS; FORECASTING; INFORMATION TECHNOLOGY; PEDIATRICS;

DECISION SUPPORT SYSTEMS;

ARTICLE; CLINICAL DECISION MAKING; CLINICAL PRACTICE; COMMUNITY HOSPITAL; CROSS-SECTIONAL STUDY; DECISION SUPPORT SYSTEM; ELECTRONIC MEDICAL RECORD; EMERGENCY WARD; HEAD INJURY; HUMAN FACTORS RESEARCH; INFORMATION TECHNOLOGY; PRIORITY JOURNAL; QUALITATIVE RESEARCH; THEMATIC ANALYSIS; UNIVERSITY HOSPITAL; WORKFLOW;

CDSS; CLINICAL DECISION SUPPORT; CLINICAL DECISION SUPPORT SERVICES; COMPUTED TOMOGRAPHY; CT; ED; EMERGENCY DEPARTMENT; PEDIATRICS; PREDICTION RULES; TBI; TRAUMATIC BRAIN INJURY;

CHILD; CLUSTER ANALYSIS; CRANIOCEREBRAL TRAUMA; CROSS-SECTIONAL STUDIES; DECISION SUPPORT SYSTEMS, CLINICAL; ELECTRONIC HEALTH RECORDS; EMERGENCY SERVICE, HOSPITAL; HUMANS;

EID: 84883825012     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2013.07.005     Document Type: Article

References (35)

1. Agency for Healthcare Research and Quality (AHRQ). Translating research into practice (TRIP)-II: Fact sheet. Rockville, MD.: Agency for Healthcare Research and Quality; 2001. <>[19.12.11]. http://www.ahrq.gov/research/findings/factsheets/translating/tripfac/.
2. McGlynn E.A., Asch S.M., Adams J., Keesey J., Hicks J., DeCristofaro A., et al. The Quality of Health Care Delivered to Adults in the United States. New Engl J Med 2003, 348(26):2635-2645.
3. Ash J.S., Sittig D.F., Poon E.G., Guappone K., Campbell E., Dykstra R.H. The extent and importance of unintended consequences related to computerized provider order entry. J Am Med Inform Assoc 2007, 14(4):415-423.
4. Bates D.W., Kuperman G.J., Wang S., Gandhi T., Kittler A., Volk L., et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J Am Med Inform Assoc 2003, 10(6):523-530.
5. Sittig D.F., Singh H. A new sociotechnical model for studying health information technology in complex adaptive healthcare systems. Qual Saf Health Care 2010, 19(Suppl. 3):i68-i74.
6. Bright T.J., Wong A., Dhurjati R., Bristow E., Bastian L., Coeytaux R.R., et al. Effect of clinical decision-support systems: a systematic review. Ann Intern Med 2012, 157(1):29-43.
7. Porter S.C., Forbes P., Feldman H.A., Goldmann D.A. Impact of patient-centered decision support on quality of asthma care in the emergency department. Pediatrics 2006, 117(1):e33-e42.
8. Porter S.C., Cai Z., Gribbons W., Goldmann D.A., Kohane I.S. The asthma kiosk: a patient-centered technology for collaborative decision support in the emergency department. J Am Med Inform Assoc 2004, 11(6):458-467.
9. Asaro P.V., Sheldahl A.L., Char D.M. Embedded guideline information without patient specificity in a commercial emergency department computerized order-entry system. Acad Emerg Med 2006, 13(4):452-458.
10. Berner ES. Clinical decision support systems: state of the art. Agency for Healthcare Research and Quality Publication; 2009 June. p. 4-25.
11. Karsh BT. Clinical practice improvement and redesign: how changes in workflow can be supported by clinical decision support. Agency for Healthcare Research and Quality Publication; 2009 June [No. 09-0054-EF:5-42].
12. Handler J.A., Feied C.F., Coonan K., Vozenilek J., Gillam M., Peacock P.R., et al. Computerized physician order entry and online decision support. Acad Emerg Med 2004, 11(11):1135-1141.
13. Kuppermann N., Holmes J.F., Dayan P.S., Hoyle J.D., Atabaki S.M., Holubkov R., et al. Identification of children at very low risk of clinically-important brain injuries after head trauma: a prospective cohort study. The Lancet 2009, 374(9696):1160-1170.
14. Ash J.S., 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):104-112.
15. Ash J.S., Sittig D.F., Dykstra R.H., Guappone K., Carpenter J.D., Seshadri V. Categorizing the unintended sociotechnical consequences of computerized provider order entry. Int J Med Inform 2007, 76(Suppl. 1):21-27.
16. Kaiser Permanente. Clinical research in emergency services and treatment (CREST). Northern California: Kaiser Permanente. <>[13.04.12]. http://kpcrest.net/home.html.
17. Pediatric Emergency Care Applied Research Network. University of Utah; 2007. <>[13.04.12]. http://www.pecarn.org/index.html.
18. Berg M., Aarts J., van der Lei J. ICT in health care: sociotechnical approaches. Methods Inf Med 2003, 42(4):297-301.
19. Berg M. Patient care information systems and health care work: a sociotechnical approach. Int J Med Inform 1999, 55(2):87-101.
20. Walker G.H., Stanton N.A., Salmon P.M., Jenkins D.P. A review of sociotechnical systems theory: a classic concept for new command and control paradigms. Theor Issues Ergon Sci 2008, 9(6):479-492.
21. Clegg C.W. Sociotechnical principles for system design. Appl Ergon 2000, 31(5):463-477.
22. Cherns A. The principles of sociotechnical design. Hum Relations 1976, 29(8):783-792.
23. Lin C.P., Payne T.H., Nichol W.P., Hoey P.J., Anderson C.L., Gennari J.H. 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):620-626.
24. Payne TH, Nichol WP, Hoey P, Savarino J. Characteristics and override rates of order checks in a practitioner order entry system. In: Proceedings of the American medical informatics association symposium; 2002. p. 602-6.
25. Ash J.S., Sittig D.F., Guappone K.P., Dykstra R.H., Richardson J., Wright A., et al. Recommended practices for computerized clinical decision support and knowledge management in community settings: a qualitative study. BMC Med Inform Decis Mak 2012, 12:6.
26. Beyer H, Holtzblatt K. Representing work for the purpose of design; 2009. <>[23.08.11]. http://incontextdesign.com/publications/representing-work-for-the-purpose-of-design/.
27. Gooch P., Roudsari A. Computerization of workflows, guidelines, and care pathways: a review of implementation challenges for process-oriented health information systems. J Am Med Inform Assoc 2011, 18(6):738-748.
28. Holtzblatt K., Burns-Wendell J., Wood S. Rapid contextual design: a how-to guide to key techniques for user-centered design 2005, Elsevier, San Francisco.
29. Terrell K.M., Perkins A.J., Dexter P.R., Hui S.L., Callahan C.M., Miller D.K. Computerized decision support to reduce potentially inappropriate prescribing to older emergency department patients: a randomized, controlled trial. J Am Geriatr Soc 2009, 57(8):1388-1394.
30. Griffey R.T., Lo H.G., Burdick E., Keohane C., Bates D.W. Guided medication dosing for elderly emergency patients using real-time, computerized decision support. J Am Med Inform Assoc 2012, 19(1):86-93.
31. Garg A.X., Adhikari N.K.J., McDonald H., Rosas-Arellano M.P., Devereaux P.J., Beyene J., et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. J Am Med Assoc 2005, 293(10):1223-1238.
32. Wright A., Sittig D.F. A framework and model for evaluating clinical decision support architectures. J Biomed Inform 2008, 41(6):982-990.
33. Wagholikar K.B., MacLaughlin K.L., Henry M.R., Greenes R.A., Hankey R.A., Liu H., et al. Clinical decision support with automated text processing for cervical cancer screening. J Am Med Inform Assoc 2012, 19(5):833-839.
34. Payne T.H. TenBroek AE, Fletcher GS, Labuguen MC. Transition from paper to electronic inpatient physician notes. J Am Med Inform Assoc 2010, 17(1):108-111.
35. Peleg M., Shachak A., Wang D., Karnieli E. Using multi-perspective methodologies to study users' interactions with the prototype front end of a guideline-based decision support system for diabetic foot care. Int J Med Inform 2009, 78(7):482-493.