Patentes y registros de software de gestión sanitaria
DOI:
https://doi.org/10.59681/2175-4411.v16.2024.1016Palabras clave:
Patente, Gestión de la Información en Salud, Programas InformáticosResumen
Objetivo: Mapear las patentes y registros de programas informáticos utilizados por los profesionales de la salud para gestionar los servicios de salud. Métodos: Revisión de alcance realizada en Web of Science (Derwent Innovations Index), Organización Mundial de la Propiedad Intelectual – alcance de Patentes e Instituto Brasileño de Propiedad Industrial, con 237 documentos seleccionados. El análisis de los datos se realizó mediante análisis de conglomerados. Resultados: Las patentes se agruparon en dos grupos: “Tecnologías de información y comunicación de datos en salud” y “Sistema de procesamiento de datos de supervisión de la gestión en salud”. Los registros de software también se agruparon en dos grupos, a saber, "Sistema de gestión de datos de salud" y "Tecnología de sistemas de información para el procesamiento y almacenamiento de datos". Conclusión: Prevalecieron los documentos sobre procesamiento, comunicación, almacenamiento y supervisión de datos, que abordaron la capacitación en la gestión de los servicios de salud y la toma de decisiones clínicas.
Citas
World Intellectual Property Organization. Patent Cooperation Treaty (PCT). (2001). https://wipolex.wipo.int/en/text/288637.
Brazil. Lei Nº 9.279, de 14 de maio de 1996. Regula direitos e obrigações relativos à propriedade industrial. (1996). http://www.planalto.gov.br/ccivil_03/leis/l9279.htm.
Brazil. Lei Nº 9.609, de 19 de fevereiro de 1998. (1998a). Dispõe sobre a proteção da propriedade intelectual de programa de computador, sua comercialização no País, e dá outras providências. http://www.planalto.gov.br/ccivil_03/leis/l9609.htm.
Brazil. Lei Nº 9.610, from February 19, 1998 (1998b). Altera, atualiza e consolida a legislação sobre direitos autorais e dá outras providências. http://www.planalto.gov.br/ccivil_03/leis/l9610.htm.
Sebesta, R.W. (2018). Conceitos de Linguagens de Programação. Porto Alegre: Bookman;1-735.
Shortliffe, E, H., & Sepúlveda M.J. (2018). Clinical decision support in the era of artificial intelligence. JAMA 320(21):2199–2200. https://doi.org/10.1001/jama.2018.17163 DOI: https://doi.org/10.1001/jama.2018.17163
Kutzko, J.D., & Wright, W.C.A. (2020). Computer-implemented system and methods for predicting the health and therapeutic behavior of individuals using artificial, intelligence, smart contracts and blockchain. WO Patent WO2020236481. https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2020236481.
Qihong, J., & Liming, W. (2019). Application research of patent information integration and analysis system in the era of big data[J]. Shandong Industrial Technology 07:136.
Frazier, R.M, Carter-Templeton, H. Wyatt, T.H., Anef, F., & Wu, L.M. (2019). Current Trends in Robotics in Nursing Patents - A glimpse into emerging innovations. Computers, Informatics 37(6): 290-297. https://doi.org/10.1097/CIN.0000000000000538 DOI: https://doi.org/10.1097/CIN.0000000000000538
Peters, M.D.J., Godfrey, C., McInerney, P., Munn, Z., Tricco, A.C., & Khalil, H. (2020). Chapter 11: Scoping Reviews (2020 version). In: Aromataris E, Munn Z (Editors). JBI Manual for Evidence Synthesis, JBI https://synthesismanual.jbi.global. https://doi.org/10.46658/JBIMES-20-12. DOI: https://doi.org/10.46658/JBIRM-20-01
Arksey, H., & O’Malley, L. (2005). Scoping studies: towards a methodological framework. Int J Soc Res Methodol, 8(1):19-32. DOI: https://doi.org/10.1080/1364557032000119616
Valaitis, R., Martin-Misener, R., Wong, ST., MacDonald, M., Meagher-Stewart, D., Austin, P., Kaczorowski, J., O-Mara, L., & Savage, R. (2012). Strengthening Primary Health Care through Public Health and Primary Care Collaboration Team 2012, ‘Methods, strategies and technologies used to conduct a scoping literature review of collaboration between primary care and public health’, Prim Health Care Res Dev 13(3) (2012) 219-36. DOI: https://doi.org/10.1017/S1463423611000594
MarufÖztürk, M., Cavusoglu, U., & Zengin, A. (2015). A novel defect prediction method for web pages using k-means++. Expert Systems with Applications 42(19). https://doi.org/6496-6506. 10.1016/j.eswa.2015.03.013 DOI: https://doi.org/10.1016/j.eswa.2015.03.013
Kassambara, A., & Mundt, F. (2017). Factoextra: Extract and Visualize the Results of Multivariate Data Analyses. R package version 1.0.5.
Filho, J.S. (2020). Sistema e método de interação entre usuário e serviço de gestão de saúde, sistema e método de estratificação de nivelamento de usuários e sistema e método de definição de gerenciamento de modelo de cuidado. BR Patent BR10 2018 067929 5 A2. https://busca.inpi.gov.br/pePI/servlet/PatenteServletController?Action=detail&CodPedido=1486157&SearchParameter=10%202018%20067929%205%20%20%20%20%20%20&Resumo=&Titulo=
Kartoun, U., & Ng, K. (2019). Verifying medical conditions of patients in electronic medical records. US Patent US20190189253. https://patentscope.wipo.int/search/en/detail.jsf?docId=US244367570.
Kumar, J. (2019). System for managing patient health care operational by user platform in hospital, has communications module coupled to medical data software application, where communications module allows remote wireless access to software application. IN Patent IN201811021769-A. https://www- webofscience.ez47.periodicos.capes.gov.br/wos/diidw/full-record/DIIDW:2019A8136V.
Guo, J., & Li, B. (2018). The application of medical artificial intelligence technology in rural areas of developing countries. Health Equity 2(1): 174–81. https://doi.org/10.1089/heq.2018.0037 DOI: https://doi.org/10.1089/heq.2018.0037
Shickel, B., Tighe, P.J., Bihorac, A., & Rashidi. P. (2018). Deep ehr: A survey of recent advances on deep learning techniques for electronic health record (ehr) analysis. J Biomed Health Inform 22(5): 1589-604. https://doi.org/10.1109/JBHI.2017.2767063 DOI: https://doi.org/10.1109/JBHI.2017.2767063
Gnanasambandam, N., & Anderson, M.H. (2020). System and method for templatizing conversations with an agent and user-originated follow-UPS. WO Patent WO2020077079. htps://patentscope.wipo.int/search/en/detail.jsf?docId=WO2020077079&_cid=P22-KWDG3Z-16117-1.
Agrawal, A., Gans, J.S., & Goldfarb, A. (2019). Exploring the impact of artificia intelligence: prediction versus judgment. Política de Inf Econ 1(47): 1-6. https://doi.org/10.1016/j.infoecopol.2019.05.001 DOI: https://doi.org/10.1016/j.infoecopol.2019.05.001
Souza, A.C.S., Santos, E.T.F., Lima, I.A., Pinheiro, I.M., Gama, K.M.M.B., Jesus R.J.A., Silva, S.S., & Cunha V.J.G (2020). Sistema de Monitoração da Saúde do Paciente. BR Computer program registration. BR5120200002528. https://busca.inpi.gov.br/pePI/servlet/ProgramaServletController?Action=detail&CodPedido=28331&SearchParameter=.
Costa, F.H.A., Costa, G.L.S., & Costa, H.L.A. (2019). VersaSUS - Sistema de gestão da saúde pública integrado para municípios. BR Computer program registration, BR5120200013384.
Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., & Biancone, P. (2020). The role of artificial intelligence in health care: a structured literature review. BMC Med Inform Decis Mak 21:125. https://doi.org/10.1186/s12911-021-01488-9. DOI: https://doi.org/10.1186/s12911-021-01488-9
Soegoto, E.S., Wardana, M.E., & Oktafiani, D. (2021). Implementation of management information system at health agencies. J Phys Conf Ser 1764:01219. https://doi.org/10.1088/1742-6596/1764/1/012191 DOI: https://doi.org/10.1088/1742-6596/1764/1/012191
Reynier. C. (2019). Sistema e método para comunicar dados de saúde em um ambiente de cuidados de saúde. BR Patent BR112019023976-6A2. https://busca.inpi.gov.br/pePI/servlet/PatenteServletController?Action=detail&CodPedido=1528437&SearchParameter=11%202019%20023976%206%20%20%20%20%20%20&Resumo=&Titulo=.
Colito, A.H.G., Martins, C., Souza, F., Medeiros, F.C.J., Soares F.M.C.C., Junior G.S.T., Paiva, M.E.O., & Chaves, V.C. (2020). CPQD3856 - Viver 360 – Solução para monitoramento da saúde de idosos com morbidades crônicas. BR Computer program registration, BR51 20200020348. https://busca.inpi.gov.br/pePI/servlet/ProgramaServletController?Action=detail&CodPedido=30089&SearchParameter=.
Kartoun, U., Lu, F., Ng, K., & Park, Y. (2019). Second opinion decision support using patient electronic medical records. US Patent US20190180874. https://patentscope.wipo.int/search/en/detail.jsf?docId=US243321612.
Bokolo, A.J. (2020). Use of telemedicine and virtual care for remote treatment in response to Covid-19 pandemic. J Med Syst 44 (7):132. https://doi.org/10.1007/s10916-020-01596-5 DOI: https://doi.org/10.1007/s10916-020-01596-5
Kumar, A., Mccoy, A.C., Olsen, R.G., & Walters, P.L. (2017). Method for creating and monitoring personalized health care plan for patient based on e.g., online food log, by using computing devices, involves outputting personalized patient care plan to patient computing device. US Patent US2017091422-A1. https://www-webofscience.ez47.periodicos.capes.gov.br/wos/diidw/full-record/DIIDW:2017221182.
Silva, D., & Correa. E. (2020). GTS - Gestão total de saúde. BR Computer program registration. BR5120200021913. https://busca.inpi.gov.br/pePI/servlet/ProgramaServletController?Action=detail&CodPedido=30260&SearchParameter=.
Souiki, S., Hadjila, M., Moussaoui, D., Ferdi, S., & Rais, S. (2020). M-Health application for managing a patient’s medical record based on the cloud: design and implementation. Onternational Workshop on Human-Centric Smart Environments for Health and Well-Being. 44-47. https://doi.org/10.1109/IHSH51661.2021.9378744 DOI: https://doi.org/10.1109/IHSH51661.2021.9378744
Pellizzoni, L. (2020). Sistema de registros (banco de dados) de saúde (EHR) autônomo e adaptável para questionários coletados por pacientes (PROs) e para a pesquisa clínica. BR Computer program registration BR5120200023789. https://busca.inpi.gov.br/pePI/servlet/ProgramaServletController?Action=detail&CodPedido=30450&SearchParameter=.
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Derechos de autor 2024 Taís Carpes Lanes, Graziele de Lima Dalmolin , Camila Antunez Villagran, Augusto Maciel da Silva
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