Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design

BMC Medical Informatics and Decision Making

Volumn 15, Issue 1, 2015, Pages

  Islam, Roosan ^a,b   Weir, Charlene R ^a,b   Jones, Makoto ^b   Del Fiol, Guilherme ^a,b   Samore, Matthew H ^a,b  

^a UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^b Salt Lake City Health Care System   (United States)

Author keywords

Clinical complexity; Cognition; Complexity in healthcare; Decision support systems clinical; Decision making; Electronic health records; Inappropriate prescribing; Medical informatics; Mental processes

Indexed keywords

ADULT; CLINICAL DECISION SUPPORT SYSTEM; COMMUNICABLE DISEASES; HUMAN; PHYSICIAN; QUALITATIVE RESEARCH; STANDARDS; THINKING;

ADULT; COMMUNICABLE DISEASES; DECISION SUPPORT SYSTEMS, CLINICAL; HUMANS; PHYSICIANS; QUALITATIVE RESEARCH; THINKING;

EID: 84960410090     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/s12911-015-0221-z     Document Type: Article

References (91)

1. Jones SS, Rudin RS, Perry T, Shekelle PG. Health information technology: an updated systematic review with a focus on meaningful use. Ann Intern Med. 2014;160(1):48-54. doi: 10.7326/M13-1531.
2. Effken JA, Brewer BB, Logue MD, Gephart SM, Verran JA. Using cognitive work analysis to fit decision support tools to nurse managers' work flow. Int J Med Inform. 2011;80(10):698-707. doi: 10.1016/j.ijmedinf.2011.07.003.
3. Horsky J, Phansalkar S, Desai A, Bell D, Middleton B. Design of decision support interventions for medication prescribing. Int J Med Inform. 2013;82(6):492-503. doi: 10.1016/j.ijmedinf.2013.02.003.
4. Sintchenko V, Coiera EW. Which clinical decisions benefit from automation? A task complexity approach. Int J Med Inform. 2003;70(2-3):309-16.
5. Sittig DF, Wright A, Osheroff JA, Middleton B, Teich JM, Ash JS, et al. Grand challenges in clinical decision support. J Biomed Inform. 2008;41(2):387-92. doi: 10.1016/j.jbi.2007.09.003.
6. Osheroff JA, Teich JM, Middleton B, Steen EB, Wright A, Detmer DE. A roadmap for national action on clinical decision support. J Am Med Inform Assoc. 2007;14(2):141-5. doi: 10.1197/jamia.M2334.
7. Shaffer, J. and Coustasse, A. Computer physician order entry and clinical decision support systems: Benefits and concerns. Business and Health Administration Association Annual Conference 2012. Paper presented at the Business and Health Administration Association (BHAA) Annual Conference 2012, at the 48th Annual Midwest Business Administration Association International Conference. Chicago, Illinois. Mar 2012.
8. Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005;330(7494):765.
9. Miller RA. Computer-assisted diagnostic decision support: history, challenges, and possible paths forward. Adv Health Sci Educ. 2009;14(1 SUPPL):89-106.
10. Welch BM, Kawamoto K. Clinical decision support for genetically guided personalized medicine: a systematic review. J Am Med Inform Assoc. 2013;20(2):388-400.
11. Simmons B. Clinical reasoning: concept analysis. J Adv Nurs. 2010;66(5):1151-8.
12. Grant RW, Ashburner JM, Hong CS, Chang Y, Barry MJ, Atlas SJ. Defining patient complexity from the primary care physician's perspective: a cohort study. Ann Intern Med. 2011;155(12):797-804. doi: 10.1059/0003-4819-155-12-201112200-00001.
13. Rasmussen J. Risk management in a dynamic society: a modelling problem. Saf Sci. 1997;27(2):183-213.
14. Converse S. Shared mental models in expert team decision making. Individual and group decision making: Current Issues. 1993;221
15. Markman KD, Klein WM, Suhr JA. Handbook of imagination and mental simulation. New York: Psychology Press; 2012.
16. Wu HW, Davis PK, Bell DS. Advancing clinical decision support using lessons from outside of healthcare: an interdisciplinary systematic review. BMC Med Inform Decis Mak. 2012;12:90. doi: 10.1186/1472-6947-12-90.
17. Sintchenko V, Coiera E. Decision complexity affects the extent and type of decision support use. AMIA Annu Symp Proc. 2006:724-8
18. Khabbaz RF, Moseley RR, Steiner RJ, Levitt AM, Bell BP. Challenges of infectious diseases in the USA. Lancet. 2014;384(9937):53-63. doi: 10.1016/s0140-6736(14)60890-4.
19. Tleyjeh IM, Nada H, Baddour LM. VisualDx: decision-support software for the diagnosis and management of dermatologic disorders. Clin Infect Dis. 2006;43(9):1177-84.
20. Fong IW. Challenges in infectious diseases. New York: Springer; 2013.
21. Mandl KD, Overhage JM, Wagner MM, Lober WB, Sebastiani P, Mostashari F, et al. Implementing syndromic surveillance: a practical guide informed by the early experience. J Am Med Inform Assoc. 2004;11(2):141-50. doi: 10.1197/jamia.M1356.
22. Morens DM, Folkers GK, Fauci AS. The challenge of emerging and re-emerging infectious diseases. Nature. 2004;430(6996):242-9.
23. El-Kareh R, Hasan O, Schiff GD. Use of health information technology to reduce diagnostic errors. BMJ Quality & Safety. 2013;22 Suppl 2:ii40-51. doi: 10.1136/bmjqs-2013-001884.
24. Burtscher MJ, Manser T. Team mental models and their potential to improve teamwork and safety: a review and implications for future research in healthcare. Saf Sci. 2012;50(5):1344-54. doi: 10.1016/j.ssci.2011.12.033.
25. Papp KK, Huang GC, Lauzon Clabo LM, Delva D, Fischer M, Konopasek L, et al. Milestones of critical thinking: a developmental model for medicine and nursing. Acad Med. 2014;89(5):715-20. doi: 10.1097/acm.0000000000000220.
26. Islam R, Weir C, Del Fiol G. Clinical complexity in medicine: a measurement model of task and patient complexity. Methods of Information in Medicine. 2015;54(5). doi: 10.3414/me15-01-0031.
27. Roth EM, Woods DD, Pople Jr HE. Cognitive simulation as a tool for cognitive task analysis. Ergonomics. 1992;35(10):1163-98. doi: 10.1080/00140139208967389.
28. Sintchenko V, Coiera E, editors. Decision complexity affects the extent and type of decision support use. AMIA Annual Symposium Proceedings; 2006: American Medical Informatics Association.
29. Hoffman RR, Militello LG. Perspectives on cognitive task analysis: historical origins and modern communities of practice. New York: Psychology Press; 2012.
30. Lobach DSG, Bright TJ. Enabling Health Care Decisionmaking Through Clinical Decision Support and Knowledge Management. Evidence Report/Technology Assessments. Rockville: Agency for Healthcare Research and Quality; 2012.
31. Pugh CM, DaRosa DA. Use of cognitive task analysis to guide the development of performance-based assessments for intraoperative decision making. Mil Med. 2013;178(10 Suppl):22-7. doi: 10.7205/milmed-d-13-00207.
32. Islam R, Weir C, Fiol GD, editors. Heuristics in managing complex clinical decision tasks in experts' decision making. Healthcare Informatics (ICHI), 2014 IEEE International Conference on; 2014 15-17 Sept. 2014.
33. Sitterding MC, Ebright P, Broome M, Patterson ES, Wuchner S. Situation awareness and interruption handling during medication administration. West J Nurs Res. 2014;36(7):891-916. doi: 10.1177/0193945914533426.
34. Thyvalikakath TP, Dziabiak MP, Johnson R, Torres-Urquidy MH, Acharya A, Yabes J, et al. Advancing cognitive engineering methods to support user interface design for electronic health records. Int J Med Inform. 2014;83(4):292-302. doi: 10.1016/j.ijmedinf.2014.01.007.
35. Crandall B, Klein GA, Hoffman RR. Working minds: a practitioner's guide to cognitive task analysis. Cambride: MIT Press; 2006.
36. Klein G. Cognitive task analysis of teams. Cognitive Task Analysis. 2000;11:417-29.
37. Craig C, Klein MI, Griswold J, Gaitonde K, McGill T, Halldorsson A. Using cognitive task analysis to identify critical decisions in the laparoscopic environment. Hum Factors. 2012;54(6):1025-39.
38. Clark J. How to peer review a qualitative manuscript. Peer Review in Health Sciences. 2003;2:219-35.
39. Crandall B, Klein G, Hoffman R. Working minds: a practitioner's guide to cognitive task analysis. Cambridge: Massachusetts Institute of Technology Press; 2006.
40. Wong BW, Blandford A. Analysing ambulance dispatcher decision making: Trialing emergent themes analysis. 2002. Ergonomics Society of Australia
41. Hoffman RR, Crandall B, Shadbolt NR. Use of the critical decision method to elicit expert knowledge: a case study in the methodology of cognitive task analysis. Hum Factors. 1998;40:254-76.
42. Barry CA, Britten N, Barber N, Bradley C, Stevenson F. Using reflexivity to optimize teamwork in qualitative research. Qual Health Res. 1999;9(1):26-44.
43. Barbour RS. Checklists for improving rigour in qualitative research: a case of the tail wagging the dog? BMJ. 2001;322(7294):1115-7.
44. Berends L, Johnston J. Using multiple coders to enhance qualitative analysis: the case of interviews with consumers of drug treatment. Addict Res Theory. 2005;13(4):373-81.
45. Coxon APM. Sorting data: collection and analysis. London: Sage; 1999.
46. Klein G. Naturalistic decision making. Hum Factors. 2008;50(3):456-60.
47. Calvo RA, D'Mello S, Gratch J, Kappas A. The Oxford handbook of affective computing. Oxford: Oxford University Press; 2014.
48. Mosier KL, Fischer UM. Informed by knowledge: expert performance in complex situations. New York: Psychology Press; 2011.
49. Bedny GZ, Karwowski W, Bedny IS. Complexity evaluation of computer-based tasks. Int J Hum Comput Interact. 2012;28(4):236-57.
50. Franklin A, Liu Y, Li Z, Nguyen V, Johnson TR, Robinson D, et al. Opportunistic decision making and complexity in emergency care. J Biomed Inform. 2011;44(3):469-76.
51. Jenkins DP. Cognitive work analysis: coping with complexity. Burlington, VT: Ashgate Publishing, Ltd.; 2009.
52. Kannampallil TG, Schauer GF, Cohen T, Patel VL. Considering complexity in healthcare systems. J Biomed Inform. 2011;44(6):943-7.
53. Meyer TS, Muething JZ, Lima GA, Torres BR, del Rosario TK, Gomes JO. Radiological emergency response for community agencies with cognitive task analysis, risk analysis, and decision support framework. Work (Reading, Mass). 2012;41 Suppl 1:2925-32. doi: 10.3233/wor-2012-0659-2925.
54. Katerndahl DA, Wood R, Jaen CR. A method for estimating relative complexity of ambulatory care. Ann Fam Med. 2010;8(4):341-7. doi: 10.1370/afm.1157.
55. Vance J, Sprivulis P. Triage nurses validly and reliably estimate emergency department patient complexity. Emerg Med Australas. 2005;17(4):382-6.
56. Shippee ND, Shah ND, May CR, Mair FS, Montori VM. Cumulative complexity: a functional, patient-centered model of patient complexity can improve research and practice. J Clin Epidemiol. 2012;65(10):1041-51. doi: 10.1016/j.jclinepi.2012.05.005.
57. Crandall B, Klein G, Hoffman R. Incident-based CTA: Helping practitioners "tell stories". Working minds: a practitioners' or 's guide to cognitive task analysis. Cambridge: MIT Press; 2006. p. 69-90.
58. Militello LG, Hutton RJ. Applied cognitive task analysis (ACTA): a practitioner's toolkit for understanding cognitive task demands. Ergonomics. 1998;41(11):1618-41. doi: 10.1080/001401398186108.
59. Weir CR, Nebeker JJR, Hicken BL, Campo R, Drews F, LeBar B. A cognitive task analysis of information management strategies in a computerized provider order entry environment. J Am Med Inform Assoc. 2007;14(1):65-75.
60. Gigerenzer G, Hertwig R, Pachur T. Heuristics: the foundations of adaptive behavior. New York: Oxford University Press, Inc.; 2011.
61. Gigerenzer G, Kurzenhäuser S. Fast and frugal heuristics in medical decision making. Science and Medicine in Dialogue: Thinking Through Particulars and Universals. I assume this is the journal title. 2005:3-15.
62. Gorini A, Pravettoni G. An overview on cognitive aspects implicated in medical decisions. Eur J Intern Med. 2011;22(6):547-53. doi: 10.1016/j.ejim.2011.06.008.
63. Kahneman D, Klein G. Conditions for intuitive expertise: a failure to disagree. Am Psychol. 2009;64(6):515-26. doi: 10.1037/a0016755.
64. Patterson ES, Woods DD, Tinapple D, Roth EM, editors. Using cognitive task analysis (CTA) to seed design concepts for intelligence analysts under data overload. Proceedings of the Human Factors and Ergonomics Society Annual Meeting; 2001: Sage Publications.
65. Wegwarth O, Gaissmaier W, Gigerenzer G. Smart strategies for doctors and doctors-in-training: heuristics in medicine. Med Educ. 2009;43(8):721-8. doi: 10.1111/j.1365-2923.2009.03359.x.
66. Sherman JW, Gawronski B, Trope Y. Dual-process theories of the social mind. New York Guilford Publications; 2014
67. Dhanaraj C, Lyles MA, Steensma HK, Tihanyi L. Managing tacit and explicit knowledge transfer in IJVs: the role of relational embeddedness and the impact on performance. J Int Bus Stud. 2004;35(5):428-42.
68. Thammasitboon S, Cutrer WB. Diagnostic decision-making and strategies to improve diagnosis. Curr Probl Pediatr Adolesc Health Care. 2013;43(9):232-41. doi: 10.1016/j.cppeds.2013.07.003.
69. Marcum JA. An integrated model of clinical reasoning: dual-process theory of cognition and metacognition. J Eval Clin Pract. 2012;18(5):954-61. doi: 10.1111/j.1365-2753.2012.01900.x.
70. Timmermans DR, Sprij AJ, de Bel CE. The discrepancy between daily practice and the policy of a decision-analytic model: the management of fever of unknown origin. Med Decis Making. 1996;16(4):357-66.
71. Brown KA, Khanafer N, Daneman N, Fisman DN. Meta-analysis of antibiotics and the risk of community-associated Clostridium difficile infection. Antimicrob Agents Chemother. 2013;57(5):2326-32. doi: 10.1128/AAC.02176-12.
72. MacKenzie A. Balancing the benefits and risks of empirical antibiotics for sinusitis: a teachable moment. JAMA Intern Med. 2014;174(8):1221-2. doi: 10.1001/jamainternmed.2014.2124.
73. Arora S, Thornton K, Murata G, Deming P, Kalishman S, Dion D, et al. Outcomes of treatment for hepatitis C virus infection by primary care providers. N Engl J Med. 2011;364(23):2199-207.
74. Schnipper JL, Linder JA, Palchuk MB, Einbinder JS, Li Q, Postilnik A, et al. "Smart Forms" in an electronic medical record: documentation-based clinical decision support to improve disease management. J Am Med Inform Assoc. 2008;15(4):513-23.
75. Zhang J, Norman DA. Representations in distributed cognitive tasks. Cogn Sci. 1994;18(1):87-122.
76. Zhang Y, Li Z, Wu B, Wu S. A spaceflight operation complexity measure and its experimental validation. Int J Ind Ergon. 2009;39(5):756-65.
77. Elliott AF, Davidson A, Lum F, Chiang MF, Saaddine JB, Zhang X, et al. Use of electronic health records and administrative data for public health surveillance of eye health and vision-related conditions in the United States. Am J Ophthalmol. 2012;154(6 Suppl):S63-70. doi: 10.1016/j.ajo.2011.10.002.
78. Zhang J, Patel VL, Johnson KA, Smith JW, Malin J. Designing human-centered distributed information systems. IEEE Intell Syst. 2002;17(5):42-7.
79. Laxmisan A, Hakimzada F, Sayan OR, Green RA, Zhang J, Patel VL. The multitasking clinician: decision-making and cognitive demand during and after team handoffs in emergency care. Int J Med Inform. 2007;76(11-12):801-11. doi: 10.1016/j.ijmedinf.2006.09.019.
80. Shneiderman B. Enabling visual discovery. Science. 2014;343(6171):614-. doi: 10.1126/science.1249670.
81. Shneiderman B. Medical illuminations using evidence, visualizations and statistical thinking to improve healthcare. Science. 2014;343(6171):614.
82. Shneiderman B, Plaisant C, Hesse B. Improving health and healthcare with interactive visualization methods. IEEE Computer Special Issue on Challenges in Information Visualization. 2013:58-66
83. Wong HJ, Caesar M, Bandali S, Agnew J, Abrams H. Electronic inpatient whiteboards: improving multidisciplinary communication and coordination of care. Int J Med Inform. 2009;78(4):239-47.
84. Krall MAG, Samore MH. Big data and population-based decision support. In: Greenes RA, editor. Clinical decison support: the road to broad adoption. 2nd ed. Oxford: Elsevier Inc.; 2014. p. 363-78.
85. Newell A, Carmichael A, Gregor P, Alm N, Waller A. Information technology for cognitive support. 2003
86. Carroll LN, Au AP, Detwiler LT, Fu TC, Painter IS, Abernethy NF. Visualization and analytics tools for infectious disease epidemiology: a systematic review. J Biomed Inform. 2014;51:287-98. doi: 10.1016/j.jbi.2014.04.006.
87. Murray JS, Amin PM. Overprescribing antibiotics in children: an enduring public health concern. J Spec Pediatr Nurs. 2014;19(3):266-9.
88. Ascioglu S, Samore MH, Lipsitch M. A new approach to the analysis of antibiotic resistance data from hospitals. Microb Drug Resist. 2014;20:6.
89. Bell M. Antibiotic misuse: a global crisis. JAMA Intern Med. 2014;174(12):1920-1. doi: 10.1001/jamainternmed.2014.3289.
90. Bernstein RK. More can be life threatening. JAMA Intern Med. 2014;174(6):858. doi: 10.1001/jamainternmed.2014.1229.
91. Sullivan T. Antibiotic overuse and Clostridium difficile: a teachable moment. JAMA Intern Med. 2014;174(8):1219-20. doi: 10.1001/jamainternmed.2014.2299.