Rumo a um modelo de usuário standard para sistemas de saúde personalizados
DOI:
https://doi.org/10.18046/syt.v13i34.2090Palavras-chave:
Modelo de usuário, sistemas personalizados, promoção da saúde, atividade física e dieta saudável.Resumo
A definição de um modelo de usuário é o suporte para a personalização nos sistemas informáticos. Para um sistema personalizado de saúde, que apoia a promoção de hábitos e estilos de vida saudáveis, em particular a atividade física e dieta saudável; é proposto um modelo de usuário em conformidade com a norma ISO/TR 14292 para os PHR Personal Health Record). A descrição do modelo de usuário standard inclui: uma caracterização do modelo de usuário; o modelo de usuário proposto de acordo com a norma ISO; as relações e inferências do modelo de usuário; e uma arquitetura de referência para o sistema a ser desenvolvido. Finalmente, é implementado um protótipo com um pequeno conjunto de dados e são desenhados alguns possíveis mockups, como apoio à arquitetura proposta.Referências
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Brun, Y. (2009). Software Engineering for Self-Adaptive Systems: A Research Roadmap. In Lecture Notes in Computer Science: Vol. 5525. Software Engineering for Self-Adaptive Systems (pp.48-70). Berlin Heidelberg: Springer.
Buttussi, F. (2008, September). A user-adaptive and context-aware architecture for mobile and desktop training applications. En Proceedings of the 10th international conference on Human computer interaction with mobile devices and services (pp. 543-543). New York, NY: ACM.
Buttussi, F., & Chittaro, L. (2008). MOPET: A context-aware and user-adaptive wearable system for fitness training. Artificial Intelligence in Medicine, 42(2), 153-163.
Carreño, M. (2009). El método Delphi: cuando dos cabezas piensan más que una en el desarrollo de guías de práctica clínica. Revista Colombiana de Psiquiatría, 38(1), 185-193.
Du, H., Youngblood, G. M., & Pirolli, P. (2014). Efficacy of a Smartphone System to Support Groups in Behavior Change Programs. En Proceedings of the Wireless Health 2014 on National Institutes of Health (pp.1-8). New York, NY: ACM.
Feisst, M., dos Santos, D. R., Mitic, J., & Christ, A. (2005). Adaptive heterogeneous learning system. Retrieved from http://www.mlearn.org/mlearn2005/CD/papers/Feist.pdf
González, H. M., Duque, N. D., & Ovalle, D. A. (2009). Modelo del estudiante para sistemas adaptativos de educación virtual. Avances en Sistemas e Informática, 5(1), 199-206.
What is a personal health record? (2013, May 2). [HealthIT blog]. Retrieved from: http://www.healthit.gov/providers-professionals/faqs/what-personal-health-record
Ifeachor, E., Hu, P., Sun, L., Hudson, N., & Zervakis, M. (2009, July). Bioprofiling over grid for personalized eHealthcare for AD. In Proceedings of the 2009 conference on Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita (pp. 155-165). Amsterdam, The Netherlands: IOS.
International Organization for Standardization [ISO]. (2010). ISO 9241-210:2010. Ergonomics of human-system interaction - Part 210: Human-centered design for interactive systems. Geneva, Switzerland: ISO
International Organization for Standardization [ISO]. (2012). ISO/TR
14292:2012. Personal health records - definition, scope and context. Geneva, Switzerland: ISO
Leka, S. (2004). La organización del trabajo y el estrés: estrategias sistemáticas de solución de problemas para empleadores, personal directivo y representantes sindicales. Geneva, Switzerland: WHO.
Luo, G., Tang, C., & Thomas, S. B. (2012). Intelligent personal health record: experience and open issues. Journal of medical systems, 36(4), 2111-2128.
Martins, A. C., Faria, L., De Carvalho, C. V., & Carrapatoso, E. (2008). User modeling in adaptive hypermedia educational systems. Journal of Educational Technology & Society, 11(1), 194-207.
Molina, J. & García, J. (2006). Técnicas de análisis de datos: aplicaciones prácticas utilizando Microsoft Excel y Weka. Retrieved from: http://www.giaa.inf.uc3m.es/docencia/II/ADatos/apuntesAD.pdf
Meyer, J., Çakır-Turgut, E., & Helmer, A. (2012). Supporting a healthy lifestyle by re-using personal online data. ACM SIGHIT Record, 2(1), 13-13.
Slootmaker, S.M., Paw, M.J.C.A., Schuit, A.J., Seidell, J.C., & Van Mechelen, W. (2005). Promoting physical activity using an activity monitor and a tailored web-based advice: design of a randomized controlled trial [ISRCTN93896459]. BMC Public Health, 5(1), 134.
Tuah, N., Amiel, C., Qureshi, S., Car, J., Kaur, B., & Majeed, A. (2012). Modelo transteórico de modificación dietética y ejercicio físico para la pérdida de peso en adultos con sobrepeso y obesos. Revista Médica Clínica Las Condes, 23(2), 201-202.
Universidad Minuto de Dios [Uniminuto]. (2014, Sept. 10). Calidad y hábitos de vida [blog Uniminuto]. Retrieved from: http://www.uniminuto.edu/web/bienestaruvd/vida-saludable/-/asset_publisher/HBJfz6IGSN46/content/calidad-y-habitos-de-vidahttp://www.uniminuto.edu/web/uvd/-/estilos-de-vida-saludables
Weibelzahl, S. (2001). Evaluation of adaptive systems. In Lecture Notes In Computer Science: Vol.2109. User Modeling 2001, (pp. 292-294). Berlin Heidelberg: Springer.
World Health Organization [WHO]. (2012). Campaña del Día mundial de la salud 2012 [blog - WHO]. Retrieved from: http://www.who.int/world-health-day/2012/toolkit/campaign/es/
Yadav, N., & Poellabauer, C. (2012, October). An architecture for personalized health information retrieval. In Proceedings of the 2012 international workshop on Smart health and wellbeing (pp.41-48). New York, NY: ACM.
Brun, Y. (2009). Software Engineering for Self-Adaptive Systems: A Research Roadmap. In Lecture Notes in Computer Science: Vol. 5525. Software Engineering for Self-Adaptive Systems (pp.48-70). Berlin Heidelberg: Springer.
Buttussi, F. (2008, September). A user-adaptive and context-aware architecture for mobile and desktop training applications. En Proceedings of the 10th international conference on Human computer interaction with mobile devices and services (pp. 543-543). New York, NY: ACM.
Buttussi, F., & Chittaro, L. (2008). MOPET: A context-aware and user-adaptive wearable system for fitness training. Artificial Intelligence in Medicine, 42(2), 153-163.
Carreño, M. (2009). El método Delphi: cuando dos cabezas piensan más que una en el desarrollo de guías de práctica clínica. Revista Colombiana de Psiquiatría, 38(1), 185-193.
Du, H., Youngblood, G. M., & Pirolli, P. (2014). Efficacy of a Smartphone System to Support Groups in Behavior Change Programs. En Proceedings of the Wireless Health 2014 on National Institutes of Health (pp.1-8). New York, NY: ACM.
Feisst, M., dos Santos, D. R., Mitic, J., & Christ, A. (2005). Adaptive heterogeneous learning system. Retrieved from http://www.mlearn.org/mlearn2005/CD/papers/Feist.pdf
González, H. M., Duque, N. D., & Ovalle, D. A. (2009). Modelo del estudiante para sistemas adaptativos de educación virtual. Avances en Sistemas e Informática, 5(1), 199-206.
What is a personal health record? (2013, May 2). [HealthIT blog]. Retrieved from: http://www.healthit.gov/providers-professionals/faqs/what-personal-health-record
Ifeachor, E., Hu, P., Sun, L., Hudson, N., & Zervakis, M. (2009, July). Bioprofiling over grid for personalized eHealthcare for AD. In Proceedings of the 2009 conference on Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita (pp. 155-165). Amsterdam, The Netherlands: IOS.
International Organization for Standardization [ISO]. (2010). ISO 9241-210:2010. Ergonomics of human-system interaction - Part 210: Human-centered design for interactive systems. Geneva, Switzerland: ISO
International Organization for Standardization [ISO]. (2012). ISO/TR
14292:2012. Personal health records - definition, scope and context. Geneva, Switzerland: ISO
Leka, S. (2004). La organización del trabajo y el estrés: estrategias sistemáticas de solución de problemas para empleadores, personal directivo y representantes sindicales. Geneva, Switzerland: WHO.
Luo, G., Tang, C., & Thomas, S. B. (2012). Intelligent personal health record: experience and open issues. Journal of medical systems, 36(4), 2111-2128.
Martins, A. C., Faria, L., De Carvalho, C. V., & Carrapatoso, E. (2008). User modeling in adaptive hypermedia educational systems. Journal of Educational Technology & Society, 11(1), 194-207.
Molina, J. & García, J. (2006). Técnicas de análisis de datos: aplicaciones prácticas utilizando Microsoft Excel y Weka. Retrieved from: http://www.giaa.inf.uc3m.es/docencia/II/ADatos/apuntesAD.pdf
Meyer, J., Çakır-Turgut, E., & Helmer, A. (2012). Supporting a healthy lifestyle by re-using personal online data. ACM SIGHIT Record, 2(1), 13-13.
Slootmaker, S.M., Paw, M.J.C.A., Schuit, A.J., Seidell, J.C., & Van Mechelen, W. (2005). Promoting physical activity using an activity monitor and a tailored web-based advice: design of a randomized controlled trial [ISRCTN93896459]. BMC Public Health, 5(1), 134.
Tuah, N., Amiel, C., Qureshi, S., Car, J., Kaur, B., & Majeed, A. (2012). Modelo transteórico de modificación dietética y ejercicio físico para la pérdida de peso en adultos con sobrepeso y obesos. Revista Médica Clínica Las Condes, 23(2), 201-202.
Universidad Minuto de Dios [Uniminuto]. (2014, Sept. 10). Calidad y hábitos de vida [blog Uniminuto]. Retrieved from: http://www.uniminuto.edu/web/bienestaruvd/vida-saludable/-/asset_publisher/HBJfz6IGSN46/content/calidad-y-habitos-de-vidahttp://www.uniminuto.edu/web/uvd/-/estilos-de-vida-saludables
Weibelzahl, S. (2001). Evaluation of adaptive systems. In Lecture Notes In Computer Science: Vol.2109. User Modeling 2001, (pp. 292-294). Berlin Heidelberg: Springer.
World Health Organization [WHO]. (2012). Campaña del Día mundial de la salud 2012 [blog - WHO]. Retrieved from: http://www.who.int/world-health-day/2012/toolkit/campaign/es/
Yadav, N., & Poellabauer, C. (2012, October). An architecture for personalized health information retrieval. In Proceedings of the 2012 international workshop on Smart health and wellbeing (pp.41-48). New York, NY: ACM.
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2015-09-30
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