Abstract
The delivery of Computer-Interpretable Guidelines occurs mainly in the form of tools following a Q&A strategy for the interaction with users. Despite the interactivity conferred by this style of communication, currently available tools do not possess control mechanisms to ensure the fulfilment of clinical recommendations. With the CompGuide personal assistant web application for scheduling clinical tasks, besides the normal input of information and the production of recommendations by an execution engine, there is a mapping of these recommendations to an agenda of activities for the health care professional. These activities are also monitored and notifications are produced to ensure their delivery times.
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References
Berg, D., Ram, P., Glasgow, J., Castro, J.: SAGEDesktop: an environment for testing clinical practice guidelines. The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 4, pp. 3217–3220 (2004)
Costa, A., Novais, P., Corchado, J.M., Neves, J.: Increased performance and better patient attendance in an hospital with the use of smart agendas*. Log. J. IGPL 20(4), 689–698 (2012). doi:10.1093/jigpal/jzr021
Isern, D., Moreno, A.: Computer-based execution of clinical guidelines: a review. Int. J. Med. Inf. 77(12), 787–808 (2008)
Jiang, J., Khelifi, F., Trundle, P., Geven, A.: HERMES: a FP7 funded project towards the development of a computer-aided memory management system via intelligent computations. J. Assist. Technol. 3(3), 27–35 (2009). http://dx.doi.org/10.1108/17549450200900022
Lima, L., Novais, P., Neves, J., Bulas, C.J., Costa, R.: Group decision making and quality-of-information in e-health systems. Log. J. IGPL 19(2), 315–332 (2011)
Musen, M.A., Shahar, Y., Shortliffe, E.H.: Clinical decision-support systems. In: Shortliffe, E.H., Cimino, J.J. (eds.) Biomedical Informatics. Health Informatics, pp. 698–736. Springer, New York (2006). doi:10.1007/0-387-36278-9_20
Novais, P., Costa, R., Carneiro, D., Neves, J.: Inter-organization cooperation for ambient assisted living. J. Ambient Intell. Smart Environ. 2(2), 179–195 (2010)
Oliveira, T., Leão, P., Novais, P., Neves, J.: Webifying the computerized execution of clinical practice guidelines. In: Bajo Perez, J., et al. (eds.) Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. AISC, vol. 293, pp. 149–156. Springer, Cham (2014). doi:10.1007/978-3-319-07476-4_18
Oliveira, T., Novais, P., Neves, J.: Representation of clinical practice guideline components in OWL. In: Pérez, J., et al. (eds.) Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent Systems and Computing, pp. 77–85. Springer, Cham (2013). doi:10.1007/978-3-319-00563-8_10
Peleg, M.: Computer-interpretable clinical guidelines: a methodological review. J. Biomed. Inform. 46(4), 744–763 (2013)
Picking, R., Robinet, A., Grout, V., McGinn, J., Roy, A., Ellis, S., Oram, D.: A case study using a methodological approach to developing user interfaces for elderly and disabled people. Comput. J. 53(6), 842 (2010). http://dx.doi.org/10.1093/comjnl/bxp089
Shalom, E., Shahar, Y., Lunenfeld, E.: An architecture for a continuous, user-driven, and data-driven application of clinical guidelines and its evaluation. J. Biomed. Inform. 59, 130–148 (2015)
Terenziani, P., Montani, S., Bottrighi, A., Torchio, M., Molino, G., Correndo, G.: The GLARE approach to clinical guidelines: main features. Stud. Health Technol. Inform. 101(3), 162–166 (2004)
Wang, D., Peleg, M., Tu, S.W., Boxwala, A.A., Ogunyemi, O., Zeng, Q., Greenes, R.A., Patel, V.L., Shortliffe, E.H.: Design and implementation of the GLIF3 guideline execution engine. J. Biomed. Inform. 37(5), 305–318 (2004)
Young, O., Shahar, Y.: The spock system: developing a runtime application engine for hybrid-asbru guidelines. Artif. Intell. Rev. 3581(1), 166–170 (2005)
Acknowledgements
This work has been supported by COMPETE: POCI-01-0145-FEDER-0070 43 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/ 00319/2013.
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Silva, A., Oliveira, T., Neves, J., Novais, P. (2017). Transforming Medical Advice into Clinical Activities for Patient Follow-Up. In: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_14
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