Yearbook of Medical Informatics, Inhaltsverzeichnis Yearb Med Inform 2016; 25(01): 170-177DOI: 10.15265/IY-2016-055 IMIA and Schattauer GmbH Georg Thieme Verlag KG Stuttgart Computerized Clinical Decision Support: Contributions from 2015 V. Koutkias 1 Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thermi, Thessaloniki, Greece 2 Lab of Computing and Medical Informatics, Department of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece , J. Bouaud 3 AP-HP, Department of Clinical Research and Development, Paris, France 4 INSERM, Sorbonne Université, UPMC Univ Paris 06, Université Paris 13, Sorbonne Paris Cité, UMRS 1142, LIMICS, Paris, France , Section Editors for the IMIA Yearbook Section on Decision Support › Institutsangaben Artikel empfehlen Abstract Volltext als PDF herunterladen Keywords KeywordsMedical informatics - International Medical Informatics Association - yearbook - clinical decision support systems Referenzen References 1 Coiera E, Ash J, Berg M. The unintended consequences of health information technology revisited.. Yearb Med Inform 2016; 163-9. 2 Lamy JB, Séroussi B, Griffon N, Kerdelhué G, Jaulent MC, Bouaud J. Toward a formalization of the process to select IMIA Yearbook best papers.. Methods Inf Med 2015; 54 (Suppl. 02) 135-44. 3 Bouaud J, Koutkias V. Computerized Clinical Decision Support: Contributions from 2014.. Yearb Med Inform 2015; 119-24. 4 Anand V, Carroll AE, Biondich PG, Dugan TM, Downs SM. Pediatric decision support using adapted Arden Syntax.. Artif Intell Med 2015 Oct 1. 5 Anand V, Biondich PG, Liu G, Rosenman M, Downs SM. Child health improvement through computer automation: the CHICA system.. Stud Health Technol Inform 2004; 107 (Suppl. 01) 187-91. 6 Cho I, Lee JH, Choi SK, Choi JW, Hwang H, Bates DW. Acceptability and feasibility of the Leapfrog computerized physician order entry evaluation tool for hospitals outside the United States.. Int J Med Inform 2015; Sep 84 (Suppl. 09) 694-701. 7 Jung M, Hoerbst A, Hackl WO, Kirrane F, Borbolla D, Jaspers MW. et al. Attitude of physicians towards automatic alerting in computerized physician order entry systems. A comparative international survey.. Methods Inf Med 2013; 52 (Suppl. 02) 99-108. 8 Marcilly R, Ammenwerth E, Vasseur F, Roehrer E, Beuscart-Zéphir MC. Usability flaws of medication-related alerting functions: A systematic qualitative review.. J Biomed Inform 2015; Jun 55: 260-71. 9 Shalom E, Shahar Y, Parmet Y, Lunenfeld E. A multiple-scenario assessment of the effect of a continuous-care, guideline-based decision support system on clinicians’ compliance to clinical guidelines.. Int J Med Inform 2015; Apr 84 (Suppl. 04) 248-62. 10 Wilk S, Kezadri-Hamiaz M, Rosu D, Kuziemsky C, Michalowski W, Amyot D, Carrier M. Using Semantic Components to Represent Dynamics of an Interdisciplinary Healthcare Team in a Multi-Agent Decision Support System.. J Med Syst 2016; Feb 40 (Suppl. 02) 42. 11 Khazaei H, McGregor C, Eklund JM, El-Khatib K. Real-Time and Retrospective Health-Analytics-as-a-Service: A Novel Framework.. JMIR Med Inform 2015; Nov 18 3 (Suppl. 04) e36. 12 Bettencourt-Silva JH, Clark J, Cooper CS, Mills R, Rayward-Smith VJ, de la Iglesia B. Building Data-Driven Pathways From Routinely Collected Hospital Data: A Case Study on Prostate Cancer.. JMIR Med Inform. 2015; Jul 10 3 (Suppl. 03) e26. 13 Sarker A, Mollá D, Paris C. Automatic evidence quality prediction to support evidence-based decision making.. Artif Intell Med 2015; Jun 64 (Suppl. 02) 89-103. 14 Li Q, Kirkendall ES, Hall ES, Ni Y, Lingren T, Kaiser M. et al., Automated detection of medication administration errors in neonatal intensive care.. J Biomed Inform 2015 Jul 17. 15 Shoshi A, Hoppe T, Kormeier B, Ogultarhan V, Hofestädt R. GraphSAW: a web-based system for graphical analysis of drug interactions and side effects using pharmaceutical and molecular data.. BMC Med Inform Decis Mak 2015; Feb 28 15: 15. 16 Sukums F, Mensah N, Mpembeni R, Massawe S, Duysburgh E, Williams A. et al. Promising adoption of an electronic clinical decision support system for antenatal and intrapartum care in rural primary healthcare facilities in sub-Saharan Africa: The QUALMAT experience.. Int J Med Inform 2015; Sep 84 (Suppl. 09) 647-57. 17 Cho I, Slight SP, Nanji KC, Seger DL, Maniam N, Fiskio JM. et al. The effect of provider characteristics on the responses to medication-related decision support alerts.. Int J Med Inform 2015; Sep 84 (Suppl. 09) 630-9. 18 Slight SP, Eguale T, Amato MG, Seger AC, Whitney DL, Bates DW, Schiff GD. The vulnerabilities of computerized physician order entry systems: a qualitative study.. J Am Med Inform Assoc 2016; Mar 23 (Suppl. 02) 311-6. 19 Dekarske BM, Zimmerman CR, Chang R, Grant PJ, Chaffee BW. Increased appropriateness of customized alert acknowledgement reasons for overridden medication alerts in a computerized provider order entry system.. Int J Med Inform 2015; Dec 84 (Suppl. 12) 1085-93. 20 Czock D, Konias M, Seidling HM, Kaltschmidt J, Schwenger V, Zeier M. et al. Tailoring of alerts substantially reduces the alert burden in computerized clinical decision support for drugs that should be avoided in patients with renal disease.. J Am Med Inform Assoc 2015; Jul 22 (Suppl. 04) 881-7.
