Abstract
This paper describes MET4, a multi-agent system that supports interdisciplinary healthcare teams (IHTs) in executing patient care workflows. Using the concept of capability, the system facilitates the maintenance of an IHT and assignment of workflow tasks to the most appropriate team members. Moreover, following the principles of participatory medicine, MET4 facilitates involving the patient and her preferences in the management process. We describe conceptual foundations of the system and present the system design combining multi-agent and ontology-driven paradigms. Finally, we present a prototype implementation of MET4 and illustrate operations of the prototype using an example involving chronic pain management in palliative care.
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Astaraky, D., Wilk, S., Michalowski, W., Andreev, P., Kuziemsky, C., Hadjiyannakis, S.: A multiagent system to support an interdisciplinary healthcare team: a case study of clinical obesity management in children. In: Proceedings of the VIII Workshop on Agents Applied in Health Care, Murcia, Spain, pp. 69â80 (2013)
Borrill, C., Carletta, J., Carter, A., Dawson, J., Garrod, S., Rees, A., Richards, A., Shapiro, D., West, M.: The effectiveness of health care teams in the National Health Service. University of Aston, Birmingham (2001)
Capen, K.: When patient care is shared, who is the most responsible physician? CMAJ 154(6), 885â886 (1996)
Franks, P.J., Salisbury, C., Bosanquet, N., Wilkinson, E.K., Kite, S., Naysmith, A., Higginson, I.J.: The level of need for palliative care: a systematic review of the literature. Palliat. Med. 14(2), 93â104 (2000)
Garcia-Ojeda, J.C., DeLoach, S.A., Oyenan, R.W.H., Valenzuela, J.L.: O-MaSE: a customizable approach to develo** multiagent development processes. In: Luck, M., Padgham, L. (eds.) AOSE 2007. LNCS, vol. 4951, pp. 1â15. Springer, Heidelberg (2008)
Gardner, A., Hase, S., Gardner, G., Dunn, S.V., Carryer, J.: From competence to capability: a study of nurse practitioners in clinical practice. J. Clin. Nurs. 17(2), 250â258 (2008)
GonzĂĄlez-Ferrer, A., Peleg, M., Verhees, B., Verlinden, J.-M., Marcos, C.: Data integration for clinical decision support based on openEHR archetypes and HL7 virtual medical record. In: Lenz, R., Miksch, S., Peleg, M., Reichert, M., Riaño, D., ten Teije, A. (eds.) ProHealth 2012 and KR4HC 2012. LNCS, vol. 7738, pp. 71â84. Springer, Heidelberg (2013)
Grando, M.A., Peleg, M., Cuggia, M., Glasspool, D.: Patterns for collaborative work in health care teams. Artif. Intel. Med. 53(3), 139â160 (2011)
Hood, L., Auffray, C.: Participatory medicine: a driving force for revolutionizing healthcare. Genome Med. 5(12), 110 (2013)
Isern, D., Moreno, A., Snchez, D., Hajnal, A., Pedone, G., Varga, L.Z.: Agent-based execution of personalised home care treatments. Appl. Intell. 34(2), 155â180 (2011)
Jih, W., Hsu, J.Y., Tsai, T.: Context-aware service integration for elderly care in a smart environment. In: Proceedings of the 2006 AAAI Workshop on Modeling and Retrieval of Context Retrieval of Context, pp. 44â48. AAAI Press, Menlo Park (2006)
Le, X., Doll, T., Barbosu, M., Luque, A., Wang, D.: An enhancement of the role-based access control model to facilitate information access management in context of team collaboration and workflow. J. Biomed. Inform. 45(6), 1084â1107 (2012)
Morrison, L.J., Morrison, R.S.: Palliative care and pain management. Med. Clin. North. Am. 90(5), 983â1004 (2006)
Oandasan, I., DâAmour, D., Zwarenstein, M., Barker, K., Purden, M., Beaulieu, M., Reeves, S., Nasmith, L., Bosco, C., Ginsburg, L.: Interdisciplinary education for collaborative, patient-centred practice: research and findings report. Health Canada, Ottawa (2004)
Ruan, J., MacCaull, W., Jewers, H.: Enhancing patient-centered palliative care with collaborative agents. In: Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), vol. 3, pp. 356â360. IEEE (2010)
Ulieru, M., Hadzic, M., Chang, E.: Soft computing agents for e-health in application to the research and control of unknown diseases. Inform. Sci. 176(9), 1190â1214 (2006)
Weerakkody, G., Ray, P.: CSCW-based system development methodology for health-care information systems. Telemed. J. E Health. 9(3), 273â282 (2003)
Wilk, S., Michalowski, W., OâSullivan, D., Farion, K., Sayyad-Shirabad, J., Kuziemsky, C., Kukawka, B.: A task-based support architecture for develo** point-of-care clinical decision support systems for the emergency department. Meth. Inf. Med. 52, 18â32 (2013)
Wolfe, B.A., Mamlin, B.W., Biondich, P.G., Fraser, H.S., Jazayeri, D., Allen, C., Miranda, J., Tierney, W.M.: The OpenMRS system: collaborating toward an open source EMR for develo** countries. AMIA Annual Symposium Proceedings, p. 1146 (2006)
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Wilk, S. et al. (2015). MET4: Supporting Workflow Execution for Interdisciplinary Healthcare Teams. In: Fournier, F., Mendling, J. (eds) Business Process Management Workshops. BPM 2014. Lecture Notes in Business Information Processing, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-319-15895-2_4
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DOI: https://doi.org/10.1007/978-3-319-15895-2_4
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