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Ontology modeling for generation of clinical pathways

Journal Name:

  • Journal of Industrial Engineering and Management

Publication Year:

  • 2012
DOI: 
http://dx.doi.org/10.3926/jiem.586

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
Purpose: Increasing costs of health care, fuelled by demand for high quality, cost-effective healthcare has drove hospitals to streamline their patient care delivery systems. One such systematic approach is the adaptation of Clinical Pathways (CP) as a tool to increase the quality of healthcare delivery. However, most organizations still rely on are paper-based pathway guidelines or specifications, which have limitations in process management and as a result can influence patient safety outcomes. In this paper, we present a method for generating clinical pathways based on organizational semiotics by capturing knowledge from syntactic, semantic and pragmatic to social level. Design/methodology/approach: The proposed modeling approach to generation of CPs adopts organizational semiotics and enables the generation of semantically rich representation of CP knowledge. Semantic Analysis Method (SAM) is applied to explicitly represent the semantics of the concepts, their relationships and patterns of behavior in terms of an ontology chart. Norm Analysis Method (NAM) is adopted to identify and formally specify patterns of behavior and rules that govern the actions identified on the ontology chart. Information collected during semantic and norm analysis is integrated to guide the generation of CPs using best practice represented in BPMN thus enabling the automation of CP. Findings: This research confirms the necessity of taking into consideration social aspects in designing information systems and automating CP. The complexity of healthcare processes can be best tackled by analyzing stakeholders, which we treat as social agents, their goals and patterns of action within the agent network. Originality/value: The current modeling methods describe CPs from a structural aspect comprising activities, properties and interrelationships. However, these methods lack a mechanism to describe possible patterns of human behavior and the conditions under which the behavior will occur. To overcome this weakness, a semiotic approach to generation of clinical pathway is introduced. The CP generated from SAM together with norms will enrich the knowledge representation of the domain through ontology modeling, which allows the recognition of human responsibilities and obligations and more importantly, the ultimate power of decision making in exceptional circumstances.
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REFERENCES

References: 

Abidi, S.S.R., & Chen, H. (2006). Adaptable personalized care planning via a semantic web framework. Proceedings of the 20th Intl Cong European Fed for Medical Informatics Maastricht.
Aguilar-Saven, R.S. (2004). Business process modelling: Review and framework. International Journal of Production Economics, 90, 129-149. http://dx.doi.org/10.1016/S0925-5273(03)00102-6
Audimoolam, S., Nair, M., Gaikwad, R., & Qing, C. (2005). The role of clinical pathways in improving patient outcomes. Retrieved 2007.
Becker, J., & Janiesch, C. (2008). Restrictions in process design: a case study on workflows in healthcare. Business Process Management Workshops, Lecture Notes in Computer Science, 4928, 323-334. http://dx.doi.org/10.1007/978-3-540-78238-4_34
Cabitza, F., Simone, C., & Sarini, M. (2008). Knowledge artifacts as bridges between theory and practice: the clinical pathway case. Knowledge Management in Action, 37-50. http://dx.doi.org/10.1007/978-0-387-09659-9_4
Carthey, J., Clarke, J., & Field, C. (2010). Associate (Safer Care Priority Programme), Nhs Institute For Innovation And, Improvement 2010. Leadership for Safety: Implementing Human Factors in Healthcare.
Corrigan, J. (2005). Crossing the quality chasm. Building a Better Delivery System. Washington: The National Academy Press.
Dadam, P., Reichert, M., & Kuhn, K. (1997). Clinical Workflows-The Killer Application for Process-oriented Information Systems? Technical Report. Universität Ulm.
Dijerome, L. (1992). The nursing case management computerized system: meeting the challenge of health care delivery through technology. Computers in nursing, 10, 250. http://dx.doi.org/10.1097/00024665-199211000-00005
Forster, P. (2003). To err is human. Annals of human genetics, 67, 2-4. http://dx.doi.org/10.1046/j.1469-1809.2003.00002.x
Gruber, T.R. (1995). Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human Computer Studies, 43, 907-928. http://dx.doi.org/10.1006/ijhc.1995.1081
Hurley, K.F., & Abidi, S.S.R. (2007). Ontology engineering to model clinical pathways: Towards the computerization and execution of clinical pathways. IEEE, 536-541.
Indulska, M., Recker, J., Rosemann, M., & Green, P. (2009). Business process modeling: Current issues and future challenges. Advanced Information Systems Engineering, Lecture Notes in Computer Science, 5565, 501-514. http://dx.doi.org/10.1007/978-3-642-02144-2_39
Liu, K. (2000). Semiotics in information systems engineering. Cambridge; New York: Cambridge University Press. http://dx.doi.org/10.1017/CBO9780511543364
Liu, K. (2001). Information, organisation, and technology: studies in organisational semiotics. Boston: Kluwer Academic Publishers.
Liu, K., & Ong, T. (1999). A modelling approach for handling business rules and exceptions. The Computer Journal, 42, 221-231. http://dx.doi.org/10.1093/comjnl/42.3.221
Liu, K., Sun, L., Barjis, J., & Dietz, J.L.G. (2003). Modelling dynamic behaviour of business organisations—extension of DEMO from a semiotic perspective. Knowledge-Based Systems, 16, 101-111. http://dx.doi.org/10.1016/S0950-7051(02)00077-1
Mor, P.C., & Anand, K. (2012). Comparing computer-interpretable guideline models: a case study approach.
Mould, G., Bowers, J., & Ghattas, M. (2010). The evolution of the pathway and its role in improving patient care. Quality and Safety in Health Care, 19, 1. http://dx.doi.org/10.1136/qshc.2009.032961
Muthu, S., Whitman, L., & Cheraghi, S.H. (2006). Business process reengineering: a consolidated methodology. Proceedings of the 4th Annual International Conference on Industrial Engineering Theory, Applications, and Practice, 1999 U.S. Department of the Interior - Enterprise Architecture.
Okada, O., Ohboshi, N., Kuroda, T., Nagase, K., & Yoshihara, H. (2005). Electronic clinical path system based on semistructured data model using personal digital assistant for onsite access. Journal of Medical Systems, 29, 379-389. http://dx.doi.org/10.1007/s10916-005-5896-8
Ryan, A. (2006). Towards semantic interoperability in healthcare: ontology mapping from SNOMED-CT to HL7 version 3. In, 2006. Australian Computer Society, Inc., 69-74.
Sonnenberg, F. & Hagerty, C. (2006). Computer-interpretable clinical practice guidelines. Where Are We and where Are We Going. IMIA Yearbook of Medical Informatics , 145-158.
Staccini, P., Joubert, M., Quaranta, J.F., & Fieschi, M. (2005). Mapping care processes within a hospital: from theory to a web-based proposal merging enterprise modelling and ISO normative principles. International Journal of Medical Informatics, 74, 335-344. http://dx.doi.org/10.1016/j.ijmedinf.2004.07.003
Stamper, R. (2009). The Chemistry of Society: Organisational Semiotics as an Empirical Social Science. Proceedings of the 11th International Conference in Informatics and Semiotics in Organisations, an IFIP WG8.1 Working Conference. Beijing, China.
Stamper, R.K. (2001). Organisational semiotics: Informatics without the computer. Information, organisation and technology: Studies in organisational semiotics, 115-171.
West, M.A., Guthrie, J.P., Dawson, J.F., Borrill, C.S., & Carter, M. (2006). Reducing patient mortality in hospitals: The role of human resource management. Journal of Organizational Behavior, 27, 983-1002. http://dx.doi.org/10.1002/job.396
Wright, G.H. (1963). Norm and action: a logical enquiry. Humanities Press.
Yang, H., Liu, K., & Li, W. (2010). Adaptive Requirement-Driven Architecture for Integrated Healthcare Systems. Journal of Computers, 5, 186-193. http://dx.doi.org/10.4304/jcp.5.2.186-193

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