Evaluation of a machine learning capability for a clinical decision support system to enhance antimicrobial stewardship programs

Artificial Intelligence in Medicine

Volumn 68, Issue , 2016, Pages 29-36

  Beaudoin, Mathieu ^a   Kabanza, Froduald ^a   Nault, Vincent ^a   Valiquette, Louis ^a  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

Author keywords

Antimicrobial stewardship; Clinical decision support system; Evaluation; Rule induction; Supervised learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MICROORGANISMS; SUPERVISED LEARNING;

ANTIMICROBIAL SPECTRA; ANTIMICROBIAL STEWARDSHIP; CLASSIFICATION RULES; CLINICAL DECISION SUPPORT SYSTEMS; EVALUATION; POSITIVE PREDICTIVE VALUES; REVIEWING PROCESS; RULE INDUCTION;

DECISION SUPPORT SYSTEMS;

ANTIINFECTIVE AGENT; PIPERACILLIN PLUS TAZOBACTAM;

ARTICLE; DECISION SUPPORT SYSTEM; INAPPROPRIATE PRESCRIBING; KNOWLEDGE BASE; MACHINE LEARNING; PHARMACIST; PREDICTIVE VALUE; PRESCRIPTION; PRIORITY JOURNAL; SUPERVISED MACHINE LEARNING; TREATMENT WITHDRAWAL; CLINICAL DECISION SUPPORT SYSTEM; HUMAN;

ANTI-INFECTIVE AGENTS; DECISION SUPPORT SYSTEMS, CLINICAL; HUMANS; MACHINE LEARNING;

EID: 84959562185     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2016.02.001     Document Type: Article

References (25)

1. Dellit T.H., Owens R.C., McGowan J.E., Gerding D.N., Weinstein R.A., Burke J.P., et al. Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship. Clin Infect Dis 2007, 44(2):159-177.
2. U.S.Department of Health and Human Services, Centers for Disease Control and Prevention (CDC) Antibiotic resistance threats in the united states 2013 2013, [accessed 10.10.15]. http://www.cdc.gov/drugresistance/threat-report-2013/pdf/ar-threats-2013-508.pdf.
3. Leekha S., Terrell C.L., Edson R.S. General principles of antimicrobial therapy. Mayo Clin Proc 2011, 86(2):156-167.
4. Huttner A., Harbarth S., Carlet J., Cosgrove S., Goossens H., Holmes A., et al. Antimicrobial resistance: a global view from the 2013 world healthcare-associated infections forum. Antimicrob Resist Infect Control 2013, 2(1):1-13.
5. McGregor J.C., Weekes E., Forrest G.N., Standiford H.C., Perencevich E.N., Furuno J.P., et al. Impact of a computerized clinical decision support system on reducing inappropriate antimicrobial use: a randomized controlled trial. J Am Med Inform Assoc 2006, 13(4):378-384.
6. Valiquette L., Cossette B., Garant M.P., Diab H., Pepin J. Impact of a reduction in the use of high-risk antibiotics on the course of an epidemic of Clostridium difficile-associated disease caused by the hypervirulent NAP1/027 strain. Clin Infect Dis 2007, 45(Suppl. 2):112-121.
7. Elligsen M., Walker S.A.N., Pinto R., Simor A., Mubareka S., Rachlis A., et al. Audit and feedback to reduce broad-spectrum antibiotic use among intensive care unit patients: a controlled interrupted time series analysis. Infect Control Hosp Epidemiol 2012, 33(4):354-361.
8. Kullar R., Goff D.A. Transformation of antimicrobial stewardship programs through technology and informatics. Infect Dis Clin N Am 2014, 28(2):291-300.
9. Godo L., Puyol-Gruart J., Sabater J., Torra V., Barrufet P., Fabregas X. A multi-agent system approach for monitoring the prescription of restricted use antibiotics. Artif Intell Med 2003, 27(3):259-282.
10. Hermsen E.D., VanSchooneveld T.C., Sayles H., Rupp M.E. Implementation of a clinical decision support system for antimicrobial stewardship. Infect Control Hosp Epidemiol 2012, 33(4):412-415.
11. Elligsen M., Walker S.A.N., Simor A., Daneman N. Prospective audit and feedback of antimicrobial stewardship in critical care: program implementation, experience, and challenges. Can J Hosp Pharm 2012, 65(1):31-36.
12. Drew R.H., White R., MacDougall C., Hermsen E.D., Owens R.C. Insights from the Society of Infectious Diseases Pharmacists on Antimicrobial Stewardship guidelines from the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. Pharmacotherapy 2009, 29(5):593-607.
13. Reichley R.M., Seaton T.L., Resetar E., Micek S.T., Scott K.L., Fraser V.J., et al. Implementing a commercial rule base as a medication order safety net. J Am Med Inform Assoc 2005, 12(4):383-389.
14. Ash J., McCormack J., Sittig D., Wright A., McMullen C., Bates D. Standard practices for computerized clinical decision support in community hospitals: a national survey. J Am Med Inform Assoc 2012, 19(6):980-987.
15. Beaudoin M., Kabanza F., Nault V., Valiquette L. An antimicrobial prescription surveillance system that learns from experience. AI Mag 2014, 35(1):15-25.
16. Beaudoin M., Kabanza F., Nault V., Valiquette L. Learning to identify inappropriate antimicrobial prescriptions. Proceedings of the 14th conference on Artificial Intelligence in Medicine (AIME13), vol. 7885 of lecture notes in computer science 2013, 248-257. Springer, Berlin Heidelberg. N. Peek, R. Marín Morales, M. Peleg (Eds.).
17. QuadraMed QuadraMed's computerized patient record (QCPR) 2015, [accessed 31.10.15]. http://www.quadramed.com/en/solutions_services/clinical_solutions/qcpr_solution/.
18. Shahar Y. A framework for knowledge-based temporal abstraction. Artif Intell 1997, 90(1-2):79-133.
19. Cockcroft D.W., Gault M.H. Prediction of creatinine clearance from serum creatinine. Nephron 1976, 16:31-41.
20. Smyth P., Goodman R.M. Rule induction using information theory. Knowledge discovery in databases 1991, 159-176. The MIT Press, Cambridge, MA. G. Piatetsky-Shapiro, W.J. Frawley (Eds.).
21. Tan P.N., Kumar V., Srivastava J. Selecting the right objective measure for association analysis. Inf Syst 2004, 29(4):293-313.
22. Bramer M. Using J-pruning to reduce overfitting in classification trees. Knowl Based Syst 2002, 15:301-308.
23. Hsieh T.C., Kuperman G.J., Jaggi T., Hojnowski-Diaz P., Fiskio J., Williams D.H., 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):482-491.
24. 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):138-147.
25. Pakyz A.L., MacDougall C., Oinonen M., Polk R.E. Trends in antibacterial use in US academic health centers: 2002 to 2006. Arch Intern Med 2006, 168(20):2254-2260.