Modeling a medical environment: an ontology for integrated medical informatics design. Export

@article{haj01, abstract = {Modern medical environments have seen an increase in technological complexity and pressures of handling more patients with fewer resources, resulting in higher demands on medical practitioners. Medical informatics designers will have to focus on the problem of organizing medical information more effectively to enable practitioners to cope with these challenges. This article addresses this research problem for the particular area of medical problem solving in patient care. First, we describe a traditional modeling approach for medical reasoning used as a basis for developing some decision support systems. We argue these models may be faithful to what is known about biomedical knowledge, but they have limitations for human problem solving, especially in unanticipated situations. Second, we present an ontological framework, known as the abstraction hierarchy (Rasmussen, IEEE Trans. Man. Cybernetics 15 (1985) 234-243), for integrating patient representations that are faithful to existing biomedical knowledge and that are consistent with what is known about human problem solving. Through an example of a critical event in the operating room, we reveal how this framework can support medical problem solving in unanticipated situations. Third, we show how to use these representations as a frame of reference for mapping medical roles, responsibilities, sensors, and controls in an operating room context. Finally, we provide some insight for medical informatics designers in using this framework to design novel training programs and human-computer displays.}, address = {Institute of Biomaterials \& Biomedical Engineering, University of Toronto, Toronto, Canada.}, author = {Hajdukiewicz, J. R. and Vicente, K. J. and Doyle, D. J. and Milgram, P. and Burns, C. M.}, citeulike-article-id = {174352}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/11340007}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=11340007}, issn = {1386-5056}, journal = {Int J Medical Informatics}, keywords = {abstraction, analysis, cognition, medical, work}, month = {June}, number = {1}, pages = {79--99}, posted-at = {2005-04-29 20:42:25}, priority = {0}, title = {Modeling a medical environment: an ontology for integrated medical informatics design.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/11340007}, volume = {62}, year = {2001} }

TY - JOUR ID - haj01 L3 - citeulike-article-id:174352 N2 - Modern medical environments have seen an increase in technological complexity and pressures of handling more patients with fewer resources, resulting in higher demands on medical practitioners. Medical informatics designers will have to focus on the problem of organizing medical information more effectively to enable practitioners to cope with these challenges. This article addresses this research problem for the particular area of medical problem solving in patient care. First, we describe a traditional modeling approach for medical reasoning used as a basis for developing some decision support systems. We argue these models may be faithful to what is known about biomedical knowledge, but they have limitations for human problem solving, especially in unanticipated situations. Second, we present an ontological framework, known as the abstraction hierarchy (Rasmussen, IEEE Trans. Man. Cybernetics 15 (1985) 234-243), for integrating patient representations that are faithful to existing biomedical knowledge and that are consistent with what is known about human problem solving. Through an example of a critical event in the operating room, we reveal how this framework can support medical problem solving in unanticipated situations. Third, we show how to use these representations as a frame of reference for mapping medical roles, responsibilities, sensors, and controls in an operating room context. Finally, we provide some insight for medical informatics designers in using this framework to design novel training programs and human-computer displays. IS - 1 JF - Int J Medical Informatics SN - 1386-5056 AD - Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, Canada. EP - 99 TI - Modeling a medical environment: an ontology for integrated medical informatics design. VL - 62 SP - 79 KW - abstraction KW - analysis KW - cognition KW - medical KW - work AU - Hajdukiewicz, JR AU - Vicente, KJ AU - Doyle, DJ AU - Milgram, P AU - Burns, CM PY - 2001/06// UR - http://view.ncbi.nlm.nih.gov/pubmed/11340007 ER -