Social, organizational, and contextual characteristics of clinical decision support systems for intensive insulin therapy: A literature review and case study

International Journal of Medical Informatics

Volumn 79, Issue 1, 2010, Pages 31-43

  Campion Jr , Thomas R ^a   Waitman, Lemuel R ^a   May, Addison K ^a   Ozdas, Asli ^a   Lorenzi, Nancy M ^a   Gadd, Cynthia S ^a  

^a VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Clinical decision support systems; Clinical protocols; Evaluation; Hospital information systems; Intensive insulin therapy; Organizational change; Organizational structure; Sociology of technology

Indexed keywords

CLINICAL DECISION SUPPORT SYSTEMS; HOSPITAL INFORMATION SYSTEMS; INSULIN THERAPY; INTENSIVE INSULIN THERAPY; ORGANIZATIONAL CHANGE; ORGANIZATIONAL STRUCTURES;

ARTIFICIAL INTELLIGENCE; BLOOD; DECISION MAKING; DECISION THEORY; GLUCOSE; HOSPITALS; INFORMATION SYSTEMS; INSULIN; NURSING; RESEARCH; SOCIAL SCIENCES;

DECISION SUPPORT SYSTEMS;

GLUCOSE; INSULIN;

ALGORITHM; ARTICLE; CLINICAL DECISION MAKING; COMPUTER; DEVICE; DIABETES MELLITUS; GLUCOSE BLOOD LEVEL; HEALTH CARE ORGANIZATION; HEALTH CARE PERSONNEL; HUMAN; INSULIN TREATMENT; INTENSIVE CARE; MEDICAL ASSESSMENT; MEDICAL CARE; MEDICAL EDUCATION; MEDICAL LITERATURE; MEDICAL PRACTICE; OUTCOME ASSESSMENT; PRIORITY JOURNAL; SOCIAL CARE; SOCIAL STRUCTURE;

ALGORITHMS; ATTITUDE TO COMPUTERS; DECISION MAKING, ORGANIZATIONAL; DECISION SUPPORT SYSTEMS, CLINICAL; HOSPITALS, UNIVERSITY; HUMANS; HYPOGLYCEMIC AGENTS; INSULIN; INTENSIVE CARE UNITS; INTERPROFESSIONAL RELATIONS; ORGANIZATIONAL CASE STUDIES; ORGANIZATIONAL INNOVATION; TENNESSEE; USER-COMPUTER INTERFACE;

EID: 72049086685     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2009.09.004     Document Type: Article

References (73)

1. Stead W., and Lin H. Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions (2009), National Academies Press, Washington, DC
2. Garg A.X., Adhikari N.K., 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. JAMA 293 March (10) (2005) 1223-1238
3. Kaplan B. Evaluating informatics applications-clinical decision support systems literature review. International Journal of Medical Informatics 64 1 (2001) 15-37
4. Kaplan B. Evaluating informatics applications-some alternative approaches: theory, social interactionism, and call for methodological pluralism. International Journal of Medical Informatics 64 1 (2001) 39-56
5. Friedman C.P., and Wyatt J.C. Evaluation Methods in Biomedical Informatics (Health Informatics) (2005), Springer-Verlag New York, Inc.
6. Kawamoto K., Houlihan C.A., Balas E.A., and Lobach D.F. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ (Clinical research ed.) 330 April (7494) (2005) 765
7. van den Berghe G., Wouters P., Weekers F., Verwaest C., Bruyninckx F., Schetz M., et al. Intensive insulin therapy in the critically ill patients. The New England Journal of Medicine 345 November (19) (2001) 1359-1367
8. Boord J.B., Sharifi M., Greevy R.A., Griffin M.R., Lee V.K., Webb T.A., et al. Computer-based insulin infusion protocol improves glycemia control over manual protocol. Journal of American Medical Informatics Association 14 May-June (3) (2007) 278-287
9. Dortch M.J., Mowery N.T., Ozdas A., Dossett L., Cao H., Collier B., et al. A computerized insulin infusion titration protocol improves glucose control with less hypoglycemia compared to a manual titration protocol in a trauma intensive care unit. JPEN 32 January-February (1) (2008) 18-27
10. Davidson P.C., Steed R.D., and Bode B.W. Glucommander: a computer-directed intravenous insulin system shown to be safe, simple, and effective in 120,618 h of operation. Diabetes Care 28 10 (2005) 2418-2423
11. Juneja R., Roudebush C., Kumar N., Macy A., Golas A., Wall D., et al. Utilization of a computerized intravenous insulin infusion program to control blood glucose in the intensive care unit. Diabetes Technology & Therapeutics 9 3 (2007) 232-240
12. Chase J.G., and Shaw G.M. Is there more to glycaemic control than meets the eye?. Critical Care (London, England) 11 4 (2007) 160
13. Saager L., Collins G.L., Burnside B., Tymkew H., Zhang L., Jacobsohn E., et al. A randomized study in diabetic patients undergoing cardiac surgery comparing computer-guided glucose management with a standard sliding scale protocol. Journal of Cardiothoracic and Vascular Anesthesia 22 3 (2008) 377-382
14. Vogelzang M., Zijlstra F., and Nijsten M.W. Design and implementation of GRIP: a computerized glucose control system at a surgical intensive care unit. BMC Medical Informatics and Decision Making 5 (2005) 38
15. Meynaar I.A., Dawson L., Tangkau P.L., Salm E.F., and Rijks L. Introduction and evaluation of a computerised insulin protocol. Intensive Care Medicine 33 4 (2007) 591-596
16. Shulman R., Finney S.J., O'Sullivan C., Glynne P.A., and Greene R. Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol. Critical Care (London, England) 11 4 (2007) R75
17. Toschlog E.A., Newton C., Allen N., Newell M.A., Goettler C.E., Schenarts P.J., et al. Morbidity reduction in critically ill trauma patients through use of a computerized insulin infusion protocol: a preliminary study. The Journal of Trauma 62 6 (2007) 1370-1375 (discussion 5-6)
18. Thomas A.N., Marchant A.E., Ogden M.C., and Collin S. Implementation of a tight glycaemic control protocol using a web-based insulin dose calculator. Anaesthesia 60 11 (2005) 1093-1100
19. Vogelzang M., Loef B.G., Regtien J.G., van der Horst I.C., van Assen H., Zijlstra F., et al. Computer-assisted glucose control in critically ill patients. Intensive Care Medicine April (2008)
20. Anger K.E., and Szumita P.M. Barriers to glucose control in the intensive care unit. Pharmacotherapy 26 2 (2006) 214-228
21. Aragon D. Evaluation of nursing work effort and perceptions about blood glucose testing in tight glycemic control. American Journal of Critical Care 15 4 (2006) 370-377
22. Dellinger R.P., Carlet J.M., Masur H., Gerlach H., Calandra T., Cohen J., et al. Surviving sepsis campaign guidelines for management of severe sepsis and septic shock. Critical Care Medicine 32 3 (2004) 858-873
23. Grey N.J., and Perdrizet G.A. Reduction of nosocomial infections in the surgical intensive-care unit by strict glycemic control. Endocrine Practice 10 March-April (Suppl. 2) (2004) 46-52
24. Krinsley J.S. Effect of an intensive glucose management protocol on the mortality of critically ill adult patients. Mayo Clinic Proceedings 79 8 (2004) 992-1000
25. Soylemez Wiener R., Wiener D.C., and Larson R.J. Benefits and risks of tight glucose control in critically ill adults: a meta-analysis. JAMA 300 August (8) (2008) 933-944
26. Boulkina L.S., and Braithwaite S.S. Practical aspects of intensive insulinization in the intensive care unit. Current Opinion in Clinical Nutrition and Metabolic Care 10 2 (2007) 197-205
27. Wilson M., Weinreb J., and Hoo G.W. Intensive insulin therapy in critical care: a review of 12 protocols. Diabetes Care 30 4 (2007) 1005-1011
28. Finney S.J., Zekveld C., Elia A., and Evans T.W. Glucose control and mortality in critically ill patients. JAMA 290 15 (2003 Oct 15) 2041-2047
29. Van den Berghe G., Wilmer A., Hermans G., Meersseman W., Wouters P.J., Milants I., et al. Intensive insulin therapy in the medical ICU. The New England Journal of Medicine 354 February (5) (2006) 449-461
30. Morris A.H. Developing and implementing computerized protocols for standardization of clinical decisions. Annals of Internal Medicine 132 March (5) (2000) 373-383
31. Meyer J.W., and Rowan B. Institutionalized Organizations: Formal Structure as Myth and Ceremony (1977), The University of Chicago Press pp. 340-363
32. Dossett L.A., Collier B., Donahue R., Mowery N.T., Dortch M.J., Guillamondegui O., et al. Intensive insulin therapy in practice: can we do it?. JPEN 33 January-February (1) (2008) 14-20
33. Dossett L.A., Cao H., Mowery N.T., Dortch M.J., Morris Jr. J.M., and May A.K. Blood glucose variability is associated with mortality in the surgical ICU. The American Surgeon 74 8 (2008) 679-685 (discussion 85)
34. Barley S.R., and Tolbert P.S. Institutionalization and structuration: studying the links between action and institution (Special Issue on Action, Structure and Organizations). Organization Studies 18 1 (1997) p93(25)
35. Kling R. The institutional character of computerized information systems. Information Technology & People 5 1 (1989) 7-28
36. Orlikowski W.J., and Barley S.R. Technology and Institutions: What Can Research on Information Technology and Research on Organizations Learn from Each Other? (2001), Management Information Systems Research Center, University of Minnesota pp. 145-165
37. Tolbert P.S., and Zucker L.G. Institutional Sources of Change in the Formal Structure of Organizations: The Diffusion of Civil Service Reform, 1880-1935 (1983), Johnson Graduate School of Management, Cornell University pp. 22-39
38. Zucker L.G. Institutional theories of organization. Annual Review of Sociology 13 (1987) 443-464
39. Elliott M., and Kling R. Organizational usability of digital libraries: case study of legal research in civil and criminal courts. Journal of the American Society for Information Science 48 11 (1997) 1023-1035
40. Barrett M., and Walsham G. Electronic trading and work transformation in the London Insurance Market. Information Systems Research 10 1 (1999) 1-22
41. Kling R. Behind the terminal: the critical role of computing infrastructure in effective information systems' development and use. In: Cotterman W., and Senn J. (Eds). Challenges and Strategies for Research in Systems Development (1992), John Wiley, New York 153-201
42. Forsythe D.E. New bottles, old wine: hidden cultural assumptions in a computerized explanation system for migraine sufferers. Medical Anthropology Quarterly 10 4 (1996) 551-574
43. Manning B., and Gadd C.S. Introducing handheld computing into a residency program: preliminary results from qualitative and quantitative inquiry. Proceedings/AMIA Annual Symposium (2001) 428-432
44. Kaplan B., Morelli R., and Goethe J. Preliminary findings from an evaluation of the acceptability of an expert system. Proceedings of AMIA Annual Fall Symposium (1997) 865
45. Hermayer K.L., Neal D.E., Hushion T.V., Irving M.G., Arnold P.C., Kozlowski L., et al. Outcomes of a cardiothoracic intensive care web-based online intravenous insulin infusion calculator study at a Medical University Hospital. Diabetes Technology & Therapeutics 9 6 (2007) 523-534
46. Bode B.W., Braithwaite S.S., Steed R.D., and Davidson P.C. Intravenous insulin infusion therapy: indications, methods, and transition to subcutaneous insulin therapy. Endocrine Practice 10 March-April (Suppl. 2) (2004) 71-80
47. White N.H., Skor D., and Santiago J.V. Practical closed-loop insulin delivery. A system for the maintenance of overnight euglycemia and the calculation of basal insulin requirements in insulin-dependent diabetics. Annals of Internal Medicine 97 2 (1982) 210-213
48. Rood E., Bosman R.J., van der Spoel J.I., Taylor P., and Zandstra D.F. Use of a computerized guideline for glucose regulation in the intensive care unit improved both guideline adherence and glucose regulation. Journal of American Medical Informatics Association 12 March-April (2) (2005) 172-180
49. Plank J., Blaha J., Cordingley J., Wilinska M.E., Chassin L.J., Morgan C., et al. Multicentric, randomized, controlled trial to evaluate blood glucose control by the model predictive control algorithm versus routine glucose management protocols in intensive care unit patients. Diabetes Care 29 2 (2006) 271-276
50. Rea R.S., Donihi A.C., Bobeck M., Herout P., McKaveney T.P., Kane-Gill S.L., et al. Implementing an intravenous insulin infusion protocol in the intensive care unit. American Journal of Health-System Pharmacy 64 February (4) (2007) 385-395
51. Erlandson D.A. Doing Naturalistic Inquiry: A Guide to Methods (1993), Sage, Newbury Park, CA
52. Katz C.M. How efficient is sliding-scale insulin therapy? Problems with a 'cookbook' approach in hospitalized patients. Postgraduate Medicine 89 5 (1991) 46-48 51-4, 7
53. Baig A., Siddiqui I., Jabbar A., Azam S.I., Sabir S., Alam S., et al. Comparison between bed side testing of blood glucose by glucometer vs centralized testing in a tertiary care hospital. Journal of Ayub Medical College Abbottabad 19 July-September (3) (2007) 25-29
54. Khan A.I., Vasquez Y., Gray J., Wians Jr. F.H., and Kroll M.H. The variability of results between point-of-care testing glucose meters and the central laboratory analyzer. Archives of Pathology & Laboratory Medicine 130 10 (2006) 1527-1532
55. Kanji S., Buffie J., Hutton B., Bunting P.S., Singh A., McDonald K., et al. Reliability of point-of-care testing for glucose measurement in critically ill adults. Critical Care Medicine 33 12 (2005) 2778-2785
56. Louie R.F., Tang Z., Sutton D.V., Lee J.H., and Kost G.J. Point-of-care glucose testing: effects of critical care variables, influence of reference instruments, and a modular glucose meter design. Archives of Pathology & Laboratory Medicine 124 2 (2000) 257-266
57. De Block C., Manuel Y.K.B., Van Gaal L., and Rogiers P. Intensive insulin therapy in the intensive care unit: assessment by continuous glucose monitoring. Diabetes Care 29 8 (2006) 1750-1756
58. Yamashita K., Okabayashi T., Yokoyama T., Yatabe T., Maeda H., Manabe M., et al. Accuracy and reliability of continuous blood glucose monitor in post-surgical patients. Acta Anaesthesiologica Scandinavia 53 1 (2009) 66-71
59. Corstjens A.M., Ligtenberg J.J., van der Horst I.C., Spanjersberg R., Lind J.S., Tulleken J.E., et al. Accuracy and feasibility of point-of-care and continuous blood glucose analysis in critically ill ICU patients. Critical Care (London, England) 10 5 (2006) R135
60. Goldberg P.A., Siegel M.D., Russell R.R., Sherwin R.S., Halickman J.I., Cooper D.A., et al. Experience with the continuous glucose monitoring system in a medical intensive care unit. Diabetes Technology & Therapeutics 6 3 (2004) 339-347
61. Logtenberg S.J., Kleefstra N., Snellen F.T., Groenier K.H., Slingerland R.J., Nierich A.P., et al. Pre- and postoperative accuracy and safety of a real-time continuous glucose monitoring system in cardiac surgical patients: a randomized pilot study. Diabetes Technology & Therapeutics 11 1 (2009) 31-37
62. Price G.C., Stevenson K., and Walsh T.S. Evaluation of a continuous glucose monitor in an unselected general intensive care population. Critical Care Resuscitation 10 3 (2008) 209-216
63. Starmer J.M., Talbert D.A., and Miller R.A. Experience using a programmable rules engine to implement a complex medical protocol during order entry. Proceedings/AMIA Annual Symposium (2000) 829-832
64. Hylek E.M., Regan S., Henault L.E., Gardner M., Chan A.T., Singer D.E., et al. Challenges to the effective use of unfractionated heparin in the hospitalized management of acute thrombosis. Archives of Internal Medicine 163 March (5) (2003) 621-627
65. Malesker M.A., Foral P.A., McPhillips A.C., Christensen K.J., Chang J.A., and Hilleman D.E. An efficiency evaluation of protocols for tight glycemic control in intensive care units. American Journal of Critical Care 16 6 (2007) 589-598
66. Sward K., Orme Jr. J., Sorenson D., Baumann L., and Morris A.H. Reasons for declining computerized insulin protocol recommendations: application of a framework. Journal of Biomedical Informatics 41 3 (2008) 488-497
67. Finfer S., Chittock D.R., Su S.Y., Blair D., Foster D., Dhingra V., et al. Intensive versus conventional glucose control in critically ill patients. The New England Journal Of Medicine 360 March (13) (2009) 1283-1297
68. The Normoglycemia in Intensive Care Evaluation (NICE) (ISRCTN04968275) and Survival Using Glucose Algorithm Regulation (SUGAR) Study: development, design and conduct of an international multi-center, open label, randomized controlled trial of two target ranges for glycemic control in intensive care unit patients, American Journal of Respiratory and Critical Care Medicine. Online supplement: Available from: http://ajrccm.atsjournals.org/cgi/data/172/11/1358/DC1/1, 2005 (cited March 27, 2009).
69. Vawdrey D.K., Gardner R.M., Evans R.S., Orme Jr. J.F., Clemmer T.P., Greenway L., et al. Assessing data quality in manual entry of ventilator settings. Journal of American Medical Informatics Association 14 May-June (3) (2007) 295-303
70. Lin C.P., Payne T.H., Nichol W.P., Hoey P.J., Anderson C.L., and Gennari J.H. Evaluating clinical decision support systems: monitoring CPOE order check override rates in the Department of Veterans Affairs' Computerized Patient Record System. Journal of American Medical Informatics Association 15 September-October (5) (2008) 620-626
71. Weingart S.N., Toth M., Sands D.Z., Aronson M.D., Davis R.B., and Phillips R.S. Physicians' decisions to override computerized drug alerts in primary care. Archives of Internal Medicine 163 November (21) (2003) 2625-2631
72. Kellogg K.C., Breen E., Ferzoco S.J., Zinner M.J., and Ashley S.W. Resistance to change in surgical residency: an ethnographic study of work hours reform. Journal of the American College of Surgeons 202 4 (2006) 630-636
73. Forsythe D.E. "It's Just a Matter of Common Sense": ethnography as invisible work. Computer Supported Cooperative Work (CSCW) 8 (1999) 127-145