Use of computerized decision support systems to improve antibiotic prescribing

Expert Review of Anti-Infective Therapy

Volumn 4, Issue 3, 2006, Pages 491-507

  Thursky, Karin ^a  

^a ROYAL MELBOURNE HOSPITAL   (Australia)

Author keywords

Antibiotic use; Computerized decision support

Indexed keywords

ANTIBIOTIC AGENT; CEFAZOLIN; CEFONICID; CEFOTETAN; CEFTAZIDIME; CEFTRIAXONE; CIPROFLOXACIN; CLINDAMYCIN; GENTAMICIN; IMIPENEM; PIPERACILLIN PLUS TAZOBACTAM; TIMENTIN; VANCOMYCIN;

ANTIBIOTIC RESISTANCE; ANTIBIOTIC SENSITIVITY; BACTERIAL INFECTION; CLINICAL PRACTICE; CLINICAL PROTOCOL; CLINICAL TRIAL; COMPUTER SYSTEM; COST BENEFIT ANALYSIS; COST CONTROL; COST EFFECTIVENESS ANALYSIS; DECISION SUPPORT SYSTEM; DISEASE TRANSMISSION; DRUG MONITORING; DRUG SURVEILLANCE PROGRAM; ELECTRONIC MEDICAL RECORD; HUMAN; INFECTION CONTROL; INFECTION RISK; INTERNET; MEDICAL DECISION MAKING; MEDICAL INFORMATION SYSTEM; PATIENT COMPLIANCE; PRACTICE GUIDELINE; PRESCRIPTION; PROBABILITY; QUALITATIVE ANALYSIS; QUALITY CONTROL; REVIEW; SYSTEM ANALYSIS; SYSTEMATIC REVIEW;

ANTI-BACTERIAL AGENTS; COST-BENEFIT ANALYSIS; DECISION SUPPORT SYSTEMS, CLINICAL; DRUG THERAPY, COMPUTER-ASSISTED; DRUG UTILIZATION; HUMANS; PRESCRIPTIONS, DRUG;

EID: 33745200740     PISSN: 14787210     EISSN: 17448336     Source Type: Journal    
DOI: 10.1586/14787210.4.3.491     Document Type: Review

References (103)

1. Bero LA, Grilli R, Grimshaw JM, Harvey E, Oxman AD, Thomson MA. Closingthe gap between research and practice: an overview of systematic reviews of interventions to promote the implementation of research findings. The Cochrane Effective Practice and Organization of Care Review Group. Br. Med. J. 317, 465-468 (1998).
2. Elson RB. Clinical practice guidelines: the role of technology in perspective. Dis. Manage. Health Outcomes 63-74 (1997).
3. Buchan H. Gaps between best evidence and practice: causes for concern. Med. J. Aust. 180, S48-S49 (2004).
4. National Electronic Decision Support Taskforce. Electronic Decision Support for Australia's Health Sector. Commonwealth of Australia: National Health Information Management Advisory Council (NHIMAC). November (2002).
5. Kushniruk A, Patel V, Fleiszer D. Analysis of medical decision making: a cognitive perspective on medical informatics. Proceedings of the Annual Symposium on Computer Applications in Medical Care. 193-197 (1995).
6. Sintchenko V, Coiera EW. Which clinical decisions benefit from automation? A task complexity approach. Int. J. Med. Inform. 70, 309-316 (2003).
7. Buising KL, Thursky KA, Bak N et al. Antibiotic prescribing in response to bacterial isolates in the intensive care unit. Anaesth. Intensive Care 33, 571-577 (2005).
8. Petrak RM, Sexton DJ, Butera, ML et al. The value of an infectious diseases specialist. Clin. Infect. Dis. 36, 1013-1017 (2003).
9. Deery HG II Negotiating with administration - or how to get paid for doing hospital epidemiology. Infect. Control Hosp. Epidemiol. 18, 209-214 (1997).
10. Fluckiger U, Zimmerli W, Sax H, Frei R, Widmer AF. Clinical impact of an infectious disease service on the management of bloodstream infection. Eur. J. Clin. Microbial. Infect. Dis. 19, 493-500 (2000).
11. Fowler VG Jr, Sanders LL, Sexton DJ et al. Outcome of Staphylococcus aureus bacteremia according to compliance with recommendations of infectious diseases specialists: experience with 244 patients. Clin. Infect. Dis. 27, 478-486 (1998).
12. Doern GV, Vautour R, Gaudet M, Levy B. Clinical impact of rapid in vitro susceptibility testing and bacterial identification. J. Clin. Microbiol. 32, 1757-1762 (1994).
13. Gomez J, Hernandez CJ, Nunez ML, Ruiz GJ, Cameras M, Valdes M. The influence of an infectious diseases consultant on the appropriateness of antibiotic treatment in a general hospital. J. Antimicrob. Chemother. 38, 309-314 (1996).
14. Byl B, Clevenbergh P, Jacobs F et al. Impact of infectious diseases specialists and microbiological data on the appropriateness of antimicrobial therapy for bacteremia. Clin. Infect. Dis. 29, 60-66; discussion 67-68 (1999).
15. Sellman JS, Decarolis D, Schullo-Feulner A, Nelson DB, Filice GA. Information resources used in antimicrobial prescribing. J Am. Med Inform. Assoc. 11, 281-284 (2004).
16. Hunt DL, Haynes RB, Hanna SE, Smith K. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a stematic review. JAM4 280, 1339-1346 (1998).
17. Gierl L, Feistle M, Muller H, Sliva K, Varnholt D, Villain S. Task-specific authoring functions for end-users in a hospital information system. Comput. Methods Programs Biomed. 48, 145-150 (1995).
18. Shortliffe EH, Davis R, Axtine SG, Buchanan BG, Green CC, Cohen SN. Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system. Comput. Biomed. Res. 8, 303-320 (1975).
19. Schurink CA, Lucas PJ, Hoepelman IM, Bonten MJ. Computer-assisted decision support for the diagnosis and treatment of infectious diseases in intensive care units. Lancet Infect Dis. 5, 305-312 (2005).
20. Yu VL, Fagan LM, Wraith SM et al. Antimicrobial selection by a computer. A blinded evaluation by infectious diseases experts. JAMA 242, 1279-1282 (1979).
21. Evans RS, Burke JP, Classen DC et al. Computerized identification of patients at high risk for hospital-acquired infection. Am. J. Infect. Control 20, 4-10 (1992).
22. Evans RS, Pestotnik SL, Classen DC et al. A computer-assisted management program for antibiotics and other antiinfective agents. N. Engl. J. Med. 338, 232-238 (1998).
23. Warner H Jr, Reimer L, Suvinier D, Li L, Nelson M. Modeling empiric antibiotic therapy evaluation of QID. Proc. AMIA Symp. 440-444 (1999).
24. Lisboa PJ. A review of evidence of health benefit from artificial neural networks in medical intervention. Neural. Netw. 15, 11-39 (2002).
25. Cundell DR, Silibovsky RS, Sanders R, Sztandera LM. Generation of an intelligent medical system, using a real database, to diagnose bacterial infection in hospitalized patients. Int. J. Med. Inform. 63(1-2), 31-40 (2001).
26. Bailey TC, Troy McMullin S. Using information systems technology to improve antibiotic prescribing. Crit. Care Med. 29, N87-N91 (2001).
27. Kuperman GJ, Gandhi TK, Bates DW Effective drug-allergy checking: methodological and operational issues. J. Biomed. Inform. 36, 70-79 (2003).
28. Barenfanger J, Short MA, Groesch AA. Improved antimicrobial interventions have benefits. J. Clin. Microbiol. 39, 2823-2828 (2001).
29. Grau S, Monterde J. Carmona A et al. Monitoring of antimicrobial therapy by an integrated computer program. Pharm. World Sci. 21, 152-157 (1999).
30. Jozefiak ET, Lewicki JE, Kozinn WP. Computer-assisted antimicrobial surveillance in a community teaching hospital. Am. J. Health Syst. Pharm. 52, 1536-1540 (1995).
31. Inaraja MT, Paloma JM, Giraldez J, Idoate AJ, Hualde S. Computer-assisted antimicrobial-use monitoring. Am. J. Hosp. Pharm. 43, 664-670 (1986).
32. Johnston ME, Langton KB, Haynes RB, Mathieu A. Effects of computer-based clinical decision support systems on clinician performance and patient outcome. A critical appraisal of research. Ann. Intern. Med. 120, 135-142 (1994).
33. Kaplan B. Evaluating informatics applications - clinical decision support systems literature review. Int. J. Med. Inform. 64, 15-37 (2001).
34. Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving ciinicai practice using clinical decision support systems: a systematic review of trials to identify features critical to success. Br. Med. J. 330, 765 (2005).
35. Ramsay C, Brown E, Hartman G, Davey P. Room for improvement: a systematic review of the quality of evaluations of interventions to improve hospital antibiotic prescribing. J. Antimicrob. Chemother. 52, 764-771 (2003).
36. 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. 163, 1409-1416 (2003).
37. Shiffman RN, Liaw Y, Brandt CA, Corb GJ. Computer-based guideline implementation systems: a systematic review of functionality and effectiveness. J. Am. Med. Inform. Assoc. 6, 104-114 (1999).
38. Walton R, Dovey S, Harvey E, Freemantle N. Computer support for determining drug dose: systematic review and meta-analysis. Br. Med. J. 318, 984-990 (1999).
39. Shea S, Dumouchel W, Bahamonde L. A meta-analysis of 16 randomized controlled trials to evaluate computer-based clinical reminder systems for the preventive care in the ambulatory setting. J. Am. Med. Inform. Assoc. 3, 399-409 (1996).
40. Hickling K, Begg E, Moore ML. A prospective randomised trial comparing individualised pharmacokinetic dosage prediction for aminoglycosides with prediction based on estimated creatinine clearance in critically ill patients. Intensive Care Med. 15, 233-237 (1989).
41. Begg EJ, Atkinson HC, Jeffery GM, Taylor NW. Individualised aminoglycoside dosage based on pharmacokinetic analysis is superior to dosage based on physician intuition at achieving target plasma drug concentrations. Br. J. Clin. Pharmacol. 28, 137-141 (1989).
42. Destache CJ, Meyer SK, Bittner MJ, Hermann KG. Impact of a clinical pharmacokinetic service on patients treated with aminoglycosides: a cost-benefit analysis. Ther. Drug Monit. 12, 419-426 (1990).
43. Burton ME, Ash CL, Hill DP Jr, Handy T, Shepherd MD, Vasko MR. A controlled trial of the cost benefit of computerized bayesian aminoglycoside administration. Clin. Pharmacol. Ther. 49, 685-694 (1991).
44. Bates DW, Kuperman GJ, Wang S et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J. Am. Med. Inform. Assoc. 10, 523-530 (2003).
45. Lee F, Teich JM, Spurr CD, Bates DW. Implementation of physician order entry: user satisfaction and self-reported usage patterns. J. Am. Med. Inform. Assoc. 3, 42-55 (1996).
46. Bates DW, Kuperman GJ, Rittenberg E et al. A randomized trial of a computer-based intervention to reduce utilization of redundant laboratory tests. Am. J. Med. 106, 144-150 (1999).
47. Oxman AD, Thomson MA, Davis DA, Haynes RB. No magic bullets: a systematic review of 102 trials of interventions to improve professional practice. CMAJ 153, 1423-1431 (1995).
48. Sim I, Gorman P, Greenes RA et al. Clinical decision support systems for the practice of evidence-based medicine. J. Am. Med. Inform. Assoc. 8, 527-534 (2001).
49. Aronsky D, Haug PJ. Assessing the quality of clinical data in a computer-based record for calculating the pneumonia severity index. J. Am. Med. Inform. Assoc. 7, 55-65 (2000).
50. Chertow GM, Lee J, Kuperman GJ et al. Guided medication dosing for inpatients with renal insufficiency. JAMA 1286, 2839-2844 (2001).
51. Watson DA. Antibiotic guidelines: improved implementation is the challenge. Med. J. Aust. 176, 513-514 (2002).
52. CDC Campaign to prevent antimicrobial resistance in healthcare settings. MMWR Morb. Mortal. Wkly Rep. 51, 343 (2002).
53. Bravata DM, Sundaram V, McDonald KM et al. Evaluating detection and diagnostic decision support systems for bioterrorism response. Emerg. Infect. Dis. 10, 100-108 (2004).
54. Joch J, Dudeck J. Decision support for infectious diseases - a working prototype. Int. J. Med. Inform. 64, 331-340 (2001).
55. Heininger A, Niemetz AH, Keim M, Fretschner R, Doring G, Unertl K. Implementation of an interactive computer-assisted infection monitoring program at the bedside. Infect. Control Hosp. Epidemiol. 20, 444-447 (1999).
56. 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. 345, 965-970 (2001).
57. Rijnders BJ, Vandecasteele SJ, Van Wijngaerden E, De Munter P, Peetermans WE. Use of semiautomatic treatment advice to improve compliance with Infectious Diseases Society of America guidelines for treatment of intravascular catheter-related infection: a before-after study. Clin. Infect. Dis. 37, 980-983 (2003).
58. Evans RS, Classen DC, Pestotnik SL, Lundsgaarde HP, Burke JP. Improving empiric antibiotic selection using computer decision support. Arch. Intern. Med. 154, 878-884 (1994).
59. Evans RS, Larsen RA, Burke JP et al. Computer surveillance of hospital-acquired infections and antibiotic use. JAMA 256, 1007-1011 (1986).
60. Richards MJ, Robertson MB, Dartnell JG et al. Impact of a web-based antimicrobial approval system on broad-spectrum cephalosporin use at a teaching hospital. Med. J. Aust. 178, 386-390 (2003).
61. Lucas PJ, de Bruijn NC, Schurink K, Hoepelman A. A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU. Artif. Intell. Med. 19, 251-279 (2000).
62. Chapman WW, Aronsky D, Fiszman M, Haug PJ. Contribution of a speech recognition system to a computerized pneumonia guideline in the emergency department. Proc. AMIA Symp. 131-135 (2000).
63. Sintchenko V, Coiera E, Iredell JR, Gilbert GL. Comparative impact of guidelines, clinical data, and decision support on prescribing decisions: an interactive web experiment with simulated cases. J. Am. Med. Inform. Assoc. 11, 71-77 (2004).
64. Shojania KG, Yokoe D, Platt R, Fiskio J, Ma'luf N, Bates DW. Reducing vancomycin use utilizing a computer guideline: results of a randomized controlled trial. J. Am. Med. Inform. Assoc. 5, 554-562 (1998).
65. Sintchenko V, Iredell JR, Gilbert GL, Coiera E. Handheld computer-based decision support reduces patient length of stay and antibiotic prescribing in critical care. J. Am. Med. Inform. Assoc. 12, 398-402 (2005).
66. Paskovaty A, Pflomm JM, Myke N, Seo SK. A multidisciplinary approach to antimicrobial stewardship: evolution into the 21st century. Int. J. Antimicrob. Agents 25, 1-10 (2005).
67. Pestotnik SL, Classen DC, Evans RS, Burke JP. Implementing antibiotic practice guidelines through computer-assisted decision support: clinical and financial outcomes. Ann. Intern. Med. 124, 884-890 (1996).
68. Evans RS, Pestotnik SL, Classen DC, Burke JP. Evaluation of a computer-assisted antibiotic-dose monitor. Ann. Pharmacother. 33, 1026-1031 (1999).
69. Evans RS. The HELP system: a review of clinical applications in infectious diseases and antibiotic use. MD Comput. 8, 282-288 (1991).
70. Evans RS, Pestotnik SL. Applications of medical informatics in antibiotic therapy. Adv. Exp. Med. Biol. 349, 87-96 (1994).
71. Dean NC, Suchyta MR, Bateman KA, Aronsky D, Hadlock CJ. Implementation of admission decision support for community acquired pneumonia. Chest 117, 1368-1377 (2000).
72. Anonymous. Antibiotic-related ADEs plummet and pharmacy costs shrink with computer-aided decision support. Clin. Resour. Manag. 1, 151-153 (2000).
73. Burke JP. Maximizing appropriate antibiotic prophylaxis for surgical patients: an update from LDS Hospital, Salt Lake City. Clin. Infect. Dis. 33(Suppl. 2), S78-S83 (2001).
74. Reynolds P. Critical intervention. Surgical ICU of a Utah academic hospital benefits from software's antibiotic recommendations and alerts. Health Manag. Technol. 24, 28-29 (2003).
75. Tettelbach WH, Ergonul MO, Samore M, Rubin M, Evans RS. Evaluation of antibiotic orders supported by computer assistance. ICAAC. CA, USA, Abstract 0-1006 (2002).
76. Doolan DF, Bates DW, James BC. The use of computers for clinical care: a case series of advanced U.S. sites. J. Am. Med. Inform. Assoc. 10, 94-107 (2003).
77. Teich JM, Glaser JP, Beckley RF et al. The Brigham integrated computing system (BICS): advanced clinical systems in an academic hospital environment. Int. J. Med. Inform. 54, 197-208 (1999).
78. Bates DW, Cullen DJ, Laird N et al. Incidence of adverse drug events and potential adverse drug events. Implications for prevention. ADE Prevention Study Group. JAMA 274, 29-34 (1995).
79. Kaushal R, Bates DW. Computerized physician order entry (CPOE) with clinical decision support systems. In: Making health Care Safer: A Criticial Analysis of Patient Safety Practices. Kaveh GS, Bradford WD, McDonald MM, Wachter RM (Eds). Agency for Healthcare Research and Quality, MD, USA (2001).
80. Gainer A, Pancheri K, Zhang J. Improving the human computer interface design for a physician order entry system. AMIA Annu. Symp. Proc. 847 (2003).
81. Horsky J, Kuperman GJ, Patel VL. Comprehensive analysis of a medication dosing error related to CPOE. J. Am. Med. Inform. Assoc. 12, 377-382 (2005).
82. Koppel R, Metlay JP, Cohen A et al. Role of computerized physician order entry systems in facilitating medication errors. JAMA 293, 1197-1203 (2005).
83. Classen DC. Clinical decision support systems to improve clinical practice and quality of care. JAMA 280, 1360-1361 (1998).
84. Schiff GD, Klass D, Peterson J, Shah G, Bates DW. Linking laboratory and pharmacy: opportunities for reducing errors and improving care. Arch. Intern. Med. 163, 893-900 (2003).
85. Goff D, Thornton J. Pharmacy-laboratory interactions: a unique method to control antibiotic cost. Hosp. Pharm. 24, 26-29 (1989)
86. Pastel DA, Chang S, Nessim S, Shane R, Morgan MA. Department of pharmacy-initiated program for streamlining empirical antibiotic therapy. Hosp. Pharm. 27, 596-603 (1992).
87. Schentag JJ, Paladino JA, Birmingham MC, Zimmer G, Carr JR, Hanson SC. Use of benchmarking techniques to justify evolution of antibiotic management programs in healthcare systems. J. Pharm. Technol. 11, 203-210 (1995).
88. Klapp D, Ingram W. Computer-assisted antibiotic use review. Am. J. Hosp. Pharm. 38, 692-695 (1981).
89. Scarafile PD, Campbell BD, Kilroy JE, Mathewson HO. Computer-assisted concurrent antibiotic review in a community hospital. Am. J. Hosp. Pharm. 42, 313-315 (1985).
90. Thursky KA, Buising KL, Bak N et al. Reduction of broad-spectrum antibiotic use with computerized decision support in an intensive care unit. Int. J. Qual. Health Care (2006).
91. Leibovici L, Gitelman V, Yehezkelli Y et al. Improving empirical antibiotic treatment: prospective, nonintervention testing of a decision support system. J. Intern. Med. 242 395-400 (1997).
92. Thomas KW, Dayton CS, Peterson MW. Evaluation of internet-based clinical decision support systems. J. Med. Internet Res. 1, E6 (1999).
93. Braune S, Wegscheider K, Zielinski W, Muller-Lissner S. [An experimental evaluation of a hospital's internal clinical guideline system. Randomized, controlled crossover pilot study on the efficacy of Intranet-based guidelines for General Internal Medicine at the Park Clinic Weissensseein Berlin]. Z. Arztl. Fortbild. Qualitatssich. 97, 283-286 (2003).
94. Stolte JJ, Ash J, Chin H. The dissemination of clinical practice guidelines over an intranet: an evaluation. Proc. AMIA Symp. 960-964 (1999).
95. Dayton CS, Ferguson JS, Hornick DB, Peterson MW. Evaluation of an internet-based decision-support system for applying the ATS/CDC guidelines for tuberculosis preventive therapy. Med. Decis. Making 20, 1-6 (2000).
96. Anonymous. Therapeutic guidelines: antibiotic. Version 12 Edition. Therapeutic Guidelines Limited, Melbourne, Australia (2002).
97. Grayson ML, Melvani S, Kirsa SW et al. Impact of an electronic antibiotic advice and approval system on antibiotic prescribing in an Australian teaching hospital. Med. J. Aust. 180, 455-458 (2004).
98. Bartlett JG. E-prescribing of antibiotics: using the Hopkins antibiotic guide. ICAAC. Washington, DC, USA (2004).
99. Schentag JJ, Ballow CH, Fritz AL et al. Changes in antimicrobial agent usage resulting from interactions among clinical pharmacy, the infectious disease division, and the microbiology laboratory. Diagn. Microbiol. Infect. Dis. 16, 255-264 (1993).
100. Clinical Advisory Board. Computerised Physician Order Entry: Lessons from Pioneering Institutions. Washington, DC, USA (2001).
101. Meadows G, Chaiken BP. Computerized physician order entry: a prescription for patient safety. Nurs. Econ. 20, 76-77 (2002).
102. Milstein A, Galvin RS, Delbanco SF, Salber P, Buck CR Jr. Improving the safety of health care: the leapfrog initiative. Eff. Clin. Pract. 3, 313-316 (2000).
103. Giowacki RC, Schwartz DN, Itokazu GS, Wisniewski MF, Kieszkowski P, Weinstein RA. Antibiotic combinations with redundant antimicrobial spectra: clinical epidemiology and pilot intervention of computer-assisted surveillance. Clin. Infect. Dis. 37, 59-64 (2003).