Gêmeos Digitais Humanos para Personalização do Treinamento de Profissionais da Saúde: Uma Proposta Baseada em Evidências Organizacionais
Resumo
A capacitação de profissionais da saúde enfrenta desafios como a falta de personalização. Este estudo propõe um modelo de Gêmeo Digital Humano (GDH) estruturado em duas dimensões: indivíduo e relações profissionais, permitindo a personalização contínua do aprendizado. O modelo, construído com base em um estudo de caso, integra um pipeline de dados para capturar informações organizacionais, fisiológicas e de desempenho, adaptando recomendações ao perfil do profissional. Uma avaliação baseada em simulações de cenários evidencia o potencial do GDH para otimizar treinamentos e viabilizar o acompanhamento profissional ao longo da carreira. A proposta estende os GDHs para o contexto da capacitação em saúde.Referências
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Gaffinet, B., Ali, J. A. H., Naudet, Y., and Panetto, H. (2025). Human digital twins: A systematic literature review and concept disambiguation for industry 5.0. Computers in Industry, 166.
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National Academies of Sciences, Engineering, and Medicine (2024). Standards for Quality Nurse Practitioner Education: A Report of the National Task Force on Quality Nurse Practitioner Education. National Organization of Nurse Practitioner Faculties (NONPF), 6th edition.
Naudet, Y., Stahl, C., and Gallais, M. (2023). Preliminary Systemic Model of (Human) Digital Twin. In ACM International Conference Proceeding Series, pages 562–567. ACM.
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Pellegrino, G., Gervasi, M., Angelelli, M., and Corallo, A. (2024). A conceptual framework for digital twin in healthcare: Evidence from a systematic meta-review. Inf. Syst. Front.
Shangguan, D., Chen, L., Su, C., Ding, J., and Liu, C. (2022). A Triple Human-Digital Twin Architecture for Cyber-Physical Systems. CMES - Computer Modeling in Engineering and Sciences, 131(3):1557–1578.
Toshima, I., Kobashikawa, S., Noto, H., Kurahasji, T., Hirota, K., and Ozawa, S. (2020). Challenges facing human digital twin computing and its future prospects. NTT Technical Review, 18(9):19–24.
van der Valk, H., Haße, H., Möller, F., and Otto, B. (2022). Archetypes of digital twins. Bus. Inf. Syst. Eng., 64(3):375–391.
Walsham, G. (2006). Doing interpretive research. European Journal of Information Systems, 15(3):320–330.
Wang, B., Zhou, H., Li, X., Yang, G., Zheng, P., Song, C., Yuan, Y., Wuest, T., Yang, H., and Wang, L. (2024). Human Digital Twin in the context of Industry 5.0. Robotics and Computer-Integrated Manufacturing, 85.
Berisha-Gawlowski, A., Caruso, C., and Harteis, C. (2021). The Concept of a Digital Twin and Its Potential for Learning Organizations. In Ifenthaler, D., Hofhues, S., Egloffstein, M., and Helbig, C., editors, Digital Transformation of Learning Organizations, pages 95–114. Springer International Publishing.
Bruynseels, K., de Sio, F. S., and van den Hoven, J. (2018). Digital Twins in health care: Ethical implications of an emerging engineering paradigm. Frontiers in Genetics, 9:31.
European Commission (2023a). Hera civil society forum calls for enhanced healthcare professional training to prepare for future health threats.
European Commission (2023b). HERA COVID-19 European Health Emergency Prepa-redness and Response Authority - Consolidated Strategic Framework: Working Group 3 - Healthcare Professionals’ Training.
Gaffinet, B., Ali, J. A. H., Naudet, Y., and Panetto, H. (2025). Human digital twins: A systematic literature review and concept disambiguation for industry 5.0. Computers in Industry, 166.
Gioia, D. A., Corley, K. G., and Hamilton, A. L. (2013). Seeking qualitative rigor in inductive research: Notes on the gioia methodology. Organizational Research Methods, 16(1):15–31.
INACSL Standards Committee, Watts, P. I., McDermott, D. S., Alinier, G., Charnetski, M., and Nawathe, P. A. (2021). Healthcare simulation standards of best practice: Simulation design. Clinical Simulation in Nursing, 58:14–21.
Lim, R., Alvarez, A., Cameron, B., and Gray, S. (2024). Breaking point: the hidden crisis of emergency physician burnout. Canadian Journal of Emergency Medicine.
Muschkiet, M., Paschmann, J. W., , and Nissen, A. (2022). Towards human digital twins for improving customer experience. In ICIS 2022.
National Academies of Sciences, Engineering, and Medicine (2024). Standards for Quality Nurse Practitioner Education: A Report of the National Task Force on Quality Nurse Practitioner Education. National Organization of Nurse Practitioner Faculties (NONPF), 6th edition.
Naudet, Y., Stahl, C., and Gallais, M. (2023). Preliminary Systemic Model of (Human) Digital Twin. In ACM International Conference Proceeding Series, pages 562–567. ACM.
OECD (2023). Ready for the Next Crisis? Investing in Health System Resilience. OECD Publishing.
Pellegrino, G., Gervasi, M., Angelelli, M., and Corallo, A. (2024). A conceptual framework for digital twin in healthcare: Evidence from a systematic meta-review. Inf. Syst. Front.
Shangguan, D., Chen, L., Su, C., Ding, J., and Liu, C. (2022). A Triple Human-Digital Twin Architecture for Cyber-Physical Systems. CMES - Computer Modeling in Engineering and Sciences, 131(3):1557–1578.
Toshima, I., Kobashikawa, S., Noto, H., Kurahasji, T., Hirota, K., and Ozawa, S. (2020). Challenges facing human digital twin computing and its future prospects. NTT Technical Review, 18(9):19–24.
van der Valk, H., Haße, H., Möller, F., and Otto, B. (2022). Archetypes of digital twins. Bus. Inf. Syst. Eng., 64(3):375–391.
Walsham, G. (2006). Doing interpretive research. European Journal of Information Systems, 15(3):320–330.
Wang, B., Zhou, H., Li, X., Yang, G., Zheng, P., Song, C., Yuan, Y., Wuest, T., Yang, H., and Wang, L. (2024). Human Digital Twin in the context of Industry 5.0. Robotics and Computer-Integrated Manufacturing, 85.
Publicado
09/06/2025
Como Citar
FRANCISCO, Rosemary; SILVA, Wagner Dorneles da; BARBOSA, Jorge Luis Victória; PAULA, Danielly de.
Gêmeos Digitais Humanos para Personalização do Treinamento de Profissionais da Saúde: Uma Proposta Baseada em Evidências Organizacionais. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO APLICADA À SAÚDE (SBCAS), 25. , 2025, Porto Alegre/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 200-211.
ISSN 2763-8952.
DOI: https://doi.org/10.5753/sbcas.2025.6976.
