Abstract
We present the use of an ontology as a tool for thinking about the idealized design of a system and the evaluation of the realized design. The ontology concisely encapsulates the logic of the system. It can be used to think through all the potential components of the system in a natural language. By mapping the actual requirements on to the ontology one can highlight the gaps between the idealized and realized designs and evaluate them. Thus, it will help recognize the logical coherence or lack of it in the design. The paper describes the method of (a) logically constructing an ontology, (b) thinking about the design, and (c) evaluating the design. We illustrate the method with its application to the multi-stage design for enhancing the meaningful use of healthcare information systems in USA by its Center for Medicaid and Medicare Services (CMS).
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References
Churchman, C.W.: Wicked Problems. Management Science 14, B 141 (1967)
Ramaprasad, A.: Cognitive Process as a Basis for MIS and DSS Design. Management Science 33, 139–148 (1987)
Ramaprasad, A., Mitroff, I.I.: On Formulating Strategic Problems. Acad Manage Rev. 9, 597–605 (1984)
Börner, K., Chen, C., Boyack, K.W.: Visualizing knowledge domains. Annual Review of Information Science and Technology 37, 179–255 (2003)
Ramaprasad, A., Papagari, S.S.: Ontological Design. In: Proceedings of DESRIST 2009, Malvern, PA (2009)
https://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms/Meaningful_Use.html
Gruber, T.R.: Ontology. In: Liu, L., Ozsu, M.T. (eds.) Encyclopedia of Database Systems, Springer (2008)
Gruber, T.R.: Toward Principles for the Design of Ontologies Used for Knowledge Sharing. International Journal Human-Computer Studies 43, 907–928 (1995)
Cimino, J.J.: In defense of the Desiderata. Journal of Biomedical Informatics 39, 299–306 (2006)
Quine, W.V.O.: From a Logical Point of View. Harvard University Press, Boston (1961)
OWL 2 Web Ontology Language, vol. 2013 May 2, (2012, 2013), http://www.w3.org/TR/2012/REC-owl2-overview-20121211/ (retrieved)
Ramaprasad, A., Syn, T.: Ontological Meta-Analysis and Synthesis. In: Proceedings of the Nineteenth Americas Conference on Information Systems, August 15-17. Chicago, Illinois (2013)
Piaget, J.: Understanding Causality. Norton, New York (1974)
Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Quarterly 28, 75–105 (2004)
Ackoff, R.L., Magidson, J., Addison, H.J.: Idealized design: How to dissolve tomorrow’s crisis. Wharton School Publishing (2006)
Crosson, J.C., Schueth, A.J., Isaacson, N., Bell, D.S.: Early adopters of electronic prescribing struggle to make meaningful use of formulary checks and medication history documentation. The Journal of the American Board of Family Medicine 25, 24–32 (2012)
Rahmner, P.B., Eiermann, B., Korkmaz, S., Gustafsson, L.L., Gruvén, M., Maxwell, S., Eichle, H.-G., Vég, A.: Physicians’ reported needs of drug information at point of care in Sweden. British Journal of Clinical Pharmacology 73, 115–125 (2012)
Spina, J.R., Glassman, P.A., Simon, B., Lanto, A., Lee, M., Cunningham, F., Good, C.B.: Potential Safety Gaps in Order Entry and Automated Drug Alerts: A Nationwide Survey of VA Physician Self-Reported Practices With Computerized Order Entry. Medical Care 49, 904–910 (2011)
Classen, D.C., Phansalkar, S., Bates, D.W.: Critical drug-drug interactions for use in electronic health records systems with computerized physician order entry: review of leading approaches. Journal of Patient Safety 7, 61–65 (2011)
Smithburger, P.L., Buckley, M.S., Bejian, S., Burenheide, K., Kane-Gill, S.L.: A critical evaluation of clinical decision support for the detection of drug-drug interactions. Expert Opinion on Drug Safety 10, 871–882 (2011)
Phansalkar, S., van der Sijs, H., Tucker, A.D., Desai, A.A., Bell, D.S., Teich, J.M., Middleton, B., Bates, D.W.: Drug–drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records. Journal of the American Medical Informatics Association (2012)
Callen, J.L., Westbrook, J.I., Georgiou, A., Li, J.: Failure to Follow-Up Test Results for Ambulatory Patients: A Systematic Review. Journal of General Internal Medicine 27, 1334–1348 (2011)
Seidling, H.M., Phansalkar, S., Seger, D.L., Paterno, M.D., Shaykevich, S., Haefeli, W.E., Bates, D.W.: Factors influencing alert acceptance: a novel approach for predicting the success of clinical decision support. Journal of the American Medical Informatics Association 18, 479–484 (2011)
Gaikwad, R., Sketris, I., Shepherd, M., Duffy, J.: Evaluation of accuracy of drug interaction alerts triggered by two electronic medical record systems in primary healthcare. Health Informatics Journal 13, 163–177 (2007)
Phansalkar, S., Desai, A.A., Bell, D., Yoshida, E., Doole, J., Czochanski, M., Middleton, B., Bates, D.W.: High-priority drug–drug interactions for use in electronic health records. Journal of the American Medical Informatics Association 19, 735–743 (2012)
Takarabe, M., Shigemizu, D., Kotera, M., Goto, S., Kanehisa, M.: Network-Based Analysis and Characterization of Adverse Drug–Drug Interactions. Journal of Chemical Information and Modeling 51, 2977–2985 (2011)
Saverno, K.R., Hines, L.E., Warholak, T.L., Grizzle, A.J., Babits, L., Clark, C., Taylor, A.M., Malone, D.C.: Ability of pharmacy clinical decision-support software to alert users about clinically important drug–drug interactions. Journal of the American Medical Informatics Association 18, 32–37 (2011)
Warholak, T.L., Hines, L.E., Saverno, K.R., Grizzle, A.J., Malone, D.C.: Assessment tool for pharmacy drug–drug interaction software. Journal of the American Pharmacists Association 51, 418–424 (2011)
Hines, L.E., Malone, D.C., Murphy, J.E.: Recommendations for Generating, Evaluating, and Implementing Drug‐Drug Interaction Evidence. Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy 32, 304–313 (2012)
Dhabali, A.A.H., Awang, R., Zyoud, S.H.: Clinically important drug–drug interactions in primary care. Journal of Clinical Pharmacy and Therapeutics (2012)
Haueis, P., Greil, W., Huber, M., Grohmann, R., Kullak-Ublick, G.A., Russmann, S.: Evaluation of drug interactions in a large sample of psychiatric inpatients: a data interface for mass analysis with clinical decision support software. Clinical Pharmacology & Therapeutics 90, 588–596 (2011)
Yu, D.T., Seger, D.L., Lasser, K.E., Karson, A.S., Fiskio, J.M., Seger, A.C., Bates, D.W.: Impact of implementing alerts about medication black-box warnings in electronic health records. Pharmacoepidemiology and Drug Safety 20, 192–202 (2011)
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Ramaprasad, A., Syn, T. (2014). Design Thinking and Evaluation Using an Ontology. In: Helfert, M., Donnellan, B., Kenneally, J. (eds) Design Science: Perspectives from Europe. EDSS 2013. Communications in Computer and Information Science, vol 447. Springer, Cham. https://doi.org/10.1007/978-3-319-13936-4_6
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DOI: https://doi.org/10.1007/978-3-319-13936-4_6
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