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01.10.2014 | Transactional Processing Systems

The Reliability of an Epilepsy Treatment Clinical Decision Support System

Erschienen in: Journal of Medical Systems | Ausgabe 10/2014

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Abstract

We developed a content validated computerized epilepsy treatment clinical decision support system to assist clinicians with selecting the best antiepilepsy treatments. Before disseminating our computerized epilepsy treatment clinical decision support system, further rigorous validation testing was necessary. As reliability is a precondition of validity, we verified proof of reliability first. We evaluated the consistency of the epilepsy treatment clinical decision support system in three areas including the preferred antiepilepsy drug choice, the top three recommended choices, and the rank order of the three choices. We demonstrated 100 % reliability on 15,000 executions involving a three-step process on five different common pediatric epilepsy syndromes. Evidence for the reliability of the epilepsy treatment clinical decision support system was essential for the long-term viability of the system, and served as a crucial component for the next phase of system validation.

Hauser, W. A., and Hesdorffer, D. C., Epilepsy: Frequency, causes and consequences. Demos, New York, 1990.

Linehan, C., and Berg, A., Epidemiologic aspects of epilepsy. In: Wyllie, E., Cascino, G. D., Gidal, B. E., and Goodkin, H. P. (Eds.), Wyllie’s Treatment of Epilepsy: Principles and Practice, 5th edition. Lippincott, Williams & Wilkins, Philadelphia, pp. 2–10, 2011.

Iyer, R. S., Mangattuthodi, R., Kumar, T. S., Sarma, P. S., and Radhakrishnan, K., Primary care doctors’ management behavior with respect to epilepsy in Kerala, southern India. Epilepsy Behav 21:137–142, 2011.CrossRef

Smith, R., Filling the lucana between research and practice: an interview with Michael Peckham. Brit Med J 307:1403–1407, 1992.

Rosenberg, W., and Donald, A., Evidence based medicine: an approach to clinical problem solving. Brit Med J 310:1122, 1995.CrossRef

Pestian, J., Matykiewicz, P., Spencer, M., Holland, K., Standridge, S., Byadarhaly, K., and Glauser, T., Selecting anti-epileptic drugs: A pediatric epileptologist’s view, a computer’s view. Acta Neurol Scand 127:208–15, 2013.CrossRef

Roundtable on evidence-based medicine, Institute of Medicine. Olsen L, Aisner D, McGinnis JM, The learning healthcare system: workshop summary, p 5. National Academies Press, Washington, DC, 2007.

Reeve, H., Baxter, K., Newton, P., Burkey, Y., Black, M., and Roland, M., Long-term follow-up in outpatient clinics: The view from general practice. Fam Pract 14:24–8, 1997.CrossRef

Austin, S. M., Balas, E. A., Mitchell, J. A., and Ewigman, B. G., Effect of physician reminders on preventive care: meta-analysis of randomized clinical trials. Proc Annu Symp Comput Appl Med Care, In, pp. 121–124, 1994.

10.

Sim, I., Gorman, P., Greenes, R. A., Haynes, R. B., Kaplan, B., Lehmann, H., and Tang, P. C., Clinical decision support systems for the practice of evidence-based medicine. J Am Med Inform Assoc 8:527–534, 2001.CrossRef

11.

Garg, A. X., Adhikari, N. K., McDonald, H., Rosas-Arellano, M. P., Devereaux, P. J., Beyene, J., Sam, J., and Haynes, R. B., Effects of computerized clinical decision support systems on practitioner performance and patient outcomes a systematic review. JAMA 293:1223–1238, 2005.CrossRef

12.

Teich, J. M., Osheroff, J. A., Pifer, E. A., Sittig, D. F., and Jenders, R. A., Clinical decision support in electronic prescribing: recommendations and an action plan: report of the joint clinical decision support workgroup. J Am Med Inform Assoc 12:365–76, 2005.CrossRef

13.

Committee on Quality of Healthcare in America, Institute of Medicine. Kohn LT, Corrigan JM, Donaldson MS (eds.) (2000) To err is human: building a safer health system, pp 57–62. National Academies Press, Washington, DC

14.

Berner, E. S., Clinical decision support systems: State of the Art, In the Agency for Healthcare Research and Quality. Rockville, Maryland, 2009.

15.

Pestian, J., Spencer, M., Matykiewicz, P., Zhang, K., Vinks, A. A., and Glauser, T., Personalizing drug selection using advanced clinical decision support. Biomed Inform Insights 23:19–29, 2009.

16.

Drug-Drug Interaction Database (Medispan). Philadelphia, PA, Wolters Kluwer Health. 2005. http://www.medispan.com/drug-information-bridge/. Accessed February 2008.

17.

Commission on Classification and Terminology of the International League Against Epilepsy, Proposal for revised classification of epilepsies and epileptic syndromes. Epilepsia 30:389–399, 1989.CrossRef

18.

Arzimanoglou, A., Guerrini, R., and Aicardi, J., Aicardi’s Epilepsy in Children. Lippincott, Williams, and Wilkins, Philadelphia, 2004.

19.

Hauser, W. A., The prevalence and incidence of convulsive disorders in children. Epilepsia 2(Suppl 35):1–6, 1994.CrossRef

20.

Selenium – Web Browser Automation: [computer program]. Version 2.38. http://www.seleniumhq.org/;

21.

Kunhimangalam, R., Ovallath, S., and Joseph, P. K., A Clinical Decision Support System with an Integrated EMR for Diagnosis of Peripheral Neuropathy. J Med Syst 38:38, 2014.CrossRef

22.

Suganthi, M., and Madheswaran, M., An improved medical decision support system to identify the breast cancer using mammogram. J Med Syst 36:79–91, 2012.CrossRef

23.

Rodríguez-González, A., Labra-Gayo, J. E., Colomo-Palacios, R., Mayer, M. A., Gómez-Berbís, J. M., and García-Crespo, A., SeDeLo: Using semantics and description logics to support aided clinical diagnosis. J Med Syst 36:2471–2481, 2012.CrossRef

24.

Shirabad, J. S., Wilk, S., Michalowski, W., and Farion, K., Implementing an integrative multi-agent clinical decision support system with open source software. J Med Syst 36:123–137, 2012.CrossRef

25.

Mills, J., Meltzer, R., and Clark, M., Effect of number of options on recall of information supporting different decision strategies. Person Soc Psychol Bull 3:213–218, 1977.CrossRef

26.

Roller C (2010) Abundance of choice and its effect on decision making. http://www.uxmatters.com/mt/archives/2010/12/abundance-of-choice-and-its-effect-on-decision-making.php. Accessed 28 December 2013

27.

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. Brit Med J 330:740–1, 2005.CrossRef

Titel: The Reliability of an Epilepsy Treatment Clinical Decision Support System
Publikationsdatum: 01.10.2014
Erschienen in: Journal of Medical Systems / Ausgabe 10/2014
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-014-0119-9

Live-Webinar "Chronische Unterbauch- und Viszeralschmerzen in der Praxis managen"

Springer Medizin

The Reliability of an Epilepsy Treatment Clinical Decision Support System

Abstract

Live-Webinar "Chronische Unterbauch- und Viszeralschmerzen in der Praxis managen"

Springer Medizin

Abstract

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