Application of the 'Internet of Things' Paradigm to the Healthcare and Services Sector: pathways and development challenges from patent analysis

Authors

DOI:

https://doi.org/10.9771/cp.v17i1.55738

Keywords:

Internet of Things, Health Services, Intellectual Property, Patents.

Abstract

The Internet of Things (IoT) is a technological paradigm that allows the joint articulation of various devices remotely through the sharing of data. This capacity opens up a variety of possibilities for the use of this technology, including in services. IoT in healthcare allows for the collection, diagnosis, and monitoring of patients inside and outside of the hospital. In a 2020 report, the National Bank of Economic and Social Development (BNDES, 2017) highlighted the healthcare sector as a priority for the development of IoT in Brazil. The pandemic has further highlighted its importance. Therefore, this article discusses the opportunities and challenges of applying this technological paradigm in healthcare from the perspective of the relevant patents already filed in Brazil for its application. To this end, a literature review and mapping of patents already filed in Brazil with the most relevant technologies for the use of IoT were conducted, including a literature review with patent mapping. Although the country has a favorable environment for the development of IoT-based services, it is necessary to address regulatory, ethical, standardization of electronic protocols, and data protection challenges, as well as integrated actions in public and private policies.

Downloads

Download data is not yet available.

Author Biographies

Maurício Rodrigues Filho, Federal University of Rio de Janeiro

Graduated in Law from the National Faculty of Law of the Federal University of Rio de Janeiro in – 2020.

Genizia Islabão de Islabão, Instituto Nacional da Propriedade Industrial

PhD in Chemistry from the Military Institute of Engineering in 2011. Lecturer in the Postgraduate Program in Intellectual Property and Technology Transfer for Innovation (PROFNIT) at the IFRS Porto Alegre Campus; Professor of technical level and technological graduation at IFSUL - Sapucaia do Sul/RS; Automation Engineer - Braskem S.A. She currently works as a researcher at the INPI (National Institute of Industrial Property) - EDIR/S - Porto Alegre/RS. She has experience in Chemical Engineering, with emphasis on Petrochemical Processes, Textiles and Polymers, working mainly on the following topics: technology and innovation.

Douglas Alves Santos, Instituto Nacional da Propriedade Industrial

PhD in the area of ​​Applied Chemistry, with emphasis on Inorganic, working in the line of research that includes: Interlacing natural and synthetic lamellar materials; Production of granular structures for slow release fertilizers; Study of slow release of fertilizers, Characterization of inorganic materials.

References

ANTUNES, A. M. S. et al. Métodos de Prospecção Tecnológica, Inteligência Competitiva e Foresight: principais conceitos e técnicas. In: RIBEIRO, N. M (org.). Prospecção tecnológica. 1. ed. Salvador: IFBA, 2018. p. 19-108.

ALMEIDA, S. do C. D. de; SOARES, T. A. Os impactos da Lei Geral de Proteção de Dados: LGPD no cenário digital. Perspectivas em Ciência da Informação, [s.l.], v. 27, n. 3, 2022.

BELFIORE, A.; CUCCURULLO, C.; ARIA, M. IoT in healthcare: A scientometric analysis. Technological Forecasting and Social Change, [s.l.], v. 184, 1º nov. 2022.

BNDES – BANCO NACIONAL DE DESENVOLVIMENTO ECONÔMICO E SOCIAL. Internet das Coisas: um plano de ação para o Brasil. São Paulo: McKinsey & Company, nov. 2017.

BRASIL. Lei Ordinária n. 9.609, de 19 de fevereiro de 1998. Dispõe sobre a proteção da propriedade intelectual de programa de computador, sua comercialização no País, e dá outras providências. Disponível em: https://www.planalto.gov.br/ccivil_03/Leis/L9609.htm. Acesso em: 25 fev. 2023.

BRITO, C. V. dos S. P.; SANTOS, V. M. L. dos. Mapeamento Tecnológico dos Registros de Software de Gerenciamento de Projetos de Pesquisa: análise prospectiva no Brasil. Cadernos de Prospecção, Salvador, v. 13, n. 1, p. 242, 2020.

CHEN, H. S. et al. Blockchain in Healthcare: A Patient-Centered Model. Biomedical Journal of Scientific & Technical Research, [s.l.], v. 20, n. 3, p. 15.017-15.022, 2019.

DANG, L. M. et al. A Survey on the Internet of Things and Cloud Computing for Healthcare. Electronics, [s.l.], v. 8, n. 7, p. 768, jul. 2019.

DE PAULA, D.; RUARO, M. B.; RUARO, J. A. Prospecção de Tecnologias para Telerreabilitação: inovação nos atendimentos fisioterapêuticos. Cadernos de Prospecção, [s.l.], v. 15, n. 1, p. 161-177, 1º jan. 2022.

DOS SANTOS, C. S. A.; GALVÃO, L. O.; OLIVEIRA, L. A. dos S.; PEREIRA, J. C. Proposta de avaliação da Política Nacional de Segurança da Informação por Processo de Análise Hierárquica. Perspectivas em Ciência da Informação, [s.l.], v. 27, n. 4, 2022.

GANESH, D. et al. Automatic Health Machine for COVID-19 and Other Emergencies. In: 2021 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS), 2021, p. 685-689. Anais [...]. [S.l.], 2021.

GIRARDI, Francesco et al. Improving the Healthcare Effectiveness: The Possible Role of EHR, IoMT and Blockchain. Electronics, [s. l.], v. 9, n. 6, p. 884, 2020.

GOMES JÚNIOR, F. da S. Desenvolvimento sustentável: conceitos, modelos e propostas para mensurações. Revista Ambientale, [s.l.], v. 3, n. 3, p. 85-98, 2012.

GOUDA, P. et al. Feasibility of Incorporating Voice Technology and Virtual Assistants in Cardiovascular Care and Clinical Trials. Current Cardiovascular Risk Reports, [s.l.], v. 15, n. 8, p. 13, 20 jun. 2021.

IBM – INTERNATIONAL BUSINESS MACHINES CORPORATION Artificial Intelligence in Medicine. 2023. Disponível em: https://www.ibm.com/topics/artificial-intelligence-medicine. Acesso em: 24 abr. 2023.

KELLY, J. T. et al. The Internet of Things: Impact and Implications for Health Care Delivery. Journal of Medical Internet Research, [s.l.], v. 22, n. 11, p. e20135, 2020.

KÖNIG, E. et al. Patentes e Inovação: estudo de caso em um hospital. Cadernos de Prospecção, Salvador, v. 15, n. 3, p. 687-704, 1º jul. 2022.

LARA, J. E. et al. Admirável mundo novo na perspectiva da tríade: Internet das Coisas, pessoas e mercados. Perspectivas em Ciência da Informação, [s.l.], v. 26, n. 2, 2021.

LIPPINCOT, B. et al. Survey of User Needs: Mobile Apps for mHealth and People with Disabilities. Lecture Notes in Computer Science, [s.l.], v. 12.377, p. 266-273, 2020. Acesso em: 24 abr. 2023.

LEE, S.; CHOI, J.; SAWNG, Y. Foresight of Promising Technologies for Healthcare-IoT Convergence Service by Patent Analysis. Journal of Scientific & Industrial Research, [s.l.], v. 78, p. 489-494, aug. 2019.

MILLER, D. D.; BROWN, E. W. Artificial Intelligence in Medical Practice: The Question to the Answer? The American Journal of Medicine, [s.l.], v. 131, n. 2, p. 129-133, 1 fev. 2018.

NADARZYNSKI, T. et al. Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study. Digital Health, [s.l.], v. 5, 2019.

NAZIR, S. et al. Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review. Wireless Communications and Mobile Computing, [s.l.], v. 2019, p. e5931315, 14 nov. 2019.

OECD – ORGANIZATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT. Rising from the COVID 19 crisis: Policy responses in the long-term care sector. OECD Policy Responses to Coronavirus. 15 dez. 2021. Disponível em: https://www.oecd.org/coronavirus/policy-responses/rising-from-the-covid-19-crisis-policy-responses-in-the-long-term-care-sector-34d9e049/. Acesso em: 24 abr. 2023.

PACHECO, N. et al. Smart Cities and Healthcare: A Systematic Review. Technologies, [s.l.], v. 7, n. 3, p. 58, 2019.

PAN, Jianli; MCELHANNON, James. Future Edge Cloud and Edge Computing for Internet of Things Applications. IEEE Internet of Things Journal, [s. l.], v. 5, n. 1, p. 439–449, 2018.

PHAM, T. et al. Predicting healthcare trajectories from medical records: A deep learning approach. Journal of Biomedical Informatics, [s.l.], v. 69, p. 218-229, 1º maio, 2017.

REIDY, C. et al. ‘The plural of silo is not ecosystem’: Qualitative study on the role of innovation ecosystems in supporting ‘Internet of Things’ applications in health and care. Digital Health, [s.l.], v. 9, p. 20552076221147110, 2023.

ROSA, C. M.; DE SOUZA, P. A. R.; DA SILVA, J. M. Inovação em saúde e internet das coisas (IoT): Um panorama do desenvolvimento científico e tecnológico. Perspectivas em Ciência da Informação, [s.l.], v. 25, p. 164-181, 30 out. 2020.

RUBÍ, J. N. S.; GONDIM, P. R. de L. Interoperable Internet of Medical Things platform for e-Health applications. International Journal of Distributed Sensor Networks, [s.l.], v. 16, n. 1, p. 1550147719889591, 1º jan. 2020.

SAID, Omar; MASUD, Mehedi, Towards Internet of Things: Survey and Future Vision, International Journal of Computer Networks, [s.l.], v. 5, p. 1-17, 2013.

SETHI, P.; SARANGI, S. Internet of Things: Architecture, Protocols, and Applications. Journal of Electrical and Computer Engineering, v. 2017, p. 1-25, 2017.

SHIM, J.; CHOI, J. H. Curriculum of IoT by IPC Code Analysis of Patents. Journal of the Korea Institute of Information and Communication Engineering, [s.l.], v. 25, n. 11, p. 1.642-1.648, 2021.

VAN DER PUTTE, D. et al. A Social Robot for Autonomous Health Data Acquisition Among Hospitalized Patients: An Exploratory Field Study. In: 2019 14th ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI), 2019, p. 658-659. Anais [...]. [S.l.], 2019.

WRAY, A.; OLSTAD, D. L.; MINAKER, L. M. Smart prevention: A new approach to primary and secondary cancer prevention in smart and connected communities. Cities, [s.l.], v. 79, p. 53-69, 1º set. 2018.

YIN, Y. et al. The internet of things in healthcare: An overview. Journal of Industrial Information Integration, [s.l.], v. 1, p. 3-13, 1 mar. 2016.

ZARPELON, M. C. et al. Digital technologies: promoting sustainable development for the youth field. Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental, [s.l.], v. 19, n. 1, p. 64-70, 2015.

Downloads

Published

2024-01-01

How to Cite

Rodrigues Filho, M., Islabão, G. I. de, & Santos, D. A. (2024). Application of the ’Internet of Things’ Paradigm to the Healthcare and Services Sector: pathways and development challenges from patent analysis. Cadernos De Prospecção, 17(1), 287–299. https://doi.org/10.9771/cp.v17i1.55738

Issue

Vol. 17 No. 1 (2024)

Section

Prospecções Tecnológicas de Assuntos Específicos

License

Copyright (c) 2023 Cadernos de Prospecção

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

O autor declara que: - Todos os autores foram nomeados. - Está submetendo o manuscrito com o consentimento dos outros autores. - Caso o trabalho submetido tiver sido contratado por algum empregador, tem o consentimento do referido empregador. - Os autores estão cientes de que é condição de publicação que os manuscritos submetidos a esta revista não tenham sido publicados anteriormente e não sejam submetidos ou publicados simultaneamente em outro periódico sem prévia autorização do Conselho Editorial. - Os autores concordam que o seu artigo ou parte dele possa ser distribuído e/ou reproduzido por qualquer forma, incluindo traduções, desde que sejam citados de modo completo esta revista e os autores do manuscrito. - Revista Cadernos de Prospecção está licenciado com uma Licença Creative Commons Attribution 4.0. Esta licença permite que outros remixem, adaptem e criem a partir do seu trabalho para fins não comerciais, e embora os novos trabalhos tenham de lhe atribuir o devido crédito e não possam ser usados para fins comerciais, os usuários não têm de licenciar esses trabalhos derivados sob os mesmos termos. Licença Creative Commons
Este obra está licenciado com uma Licença Creative Commons Atribuição 4.0 Internacional.