Applying Health 4.0 in directing specialized consultations in a hospital
DOI:
https://doi.org/10.5585/iptec.v8i1.14339Keywords:
Health 4.0, Computational Solution, Screening ProcessAbstract
In a technicist society data can exert a powerful effect on people’s lives, and often this occurs discreetly. Health 4.0 attempts to make use of this data to make advances in people’s health and well-being such as the use of medical information collected daily to improve hospital processes. The research used the unique case study methodology for the construction of a computational solution. The result is a totem that presents the most suitable specialty for a patient upon arrival in a hospital, based on the indication of their illness, their medical history and the specialties available to aid in the hospital’s screening process. The contribution to the practice is the presentation of a model that may be useful for managers who need solutions similar to the established context. The theoretical contribution is to demonstrate other applications for Health 4.0 concepts.
Downloads
References
Andrade, N., Costa Neto, P. L. O., Torres, J. G. M., Glória Júnior, I., Scheidt, C. G., & Gazel, W. (2019). E-Health: A framework proposal for interoperability and health data sharing. A Brazilian Case. IFIP International Conference on Advances in Production Management Systems, 1, 544–551. Austin: Springer.
Badri, A., Boudreau-Trudel, B., & Souissi, A. S. (2018). Occupational health and safety in the industry 4.0 era: A cause for major concern? Safety Science, 109, 403–411. https://doi.org/10.1016/j.ssci.2018.06.012
Collins, F. S., & Varmus, H. (2015). A New Initiative on Precision Medicine. New England Journal of Medicine, 372(9), 793–795. https://doi.org/10.1056/NEJMp1500523
Despeisse, M., Davé, A., Litos, L., Roberts, S., Ball, P., & Evans, S. (2016). A Collection of Tools for Factory Eco-efficiency. Procedia CIRP, 40, 542–546. https://doi.org/10.1016/j.procir.2016.01.130
Fogel, A. L., & Kvedar, J. C. (2018). Artificial intelligence powers digital medicine. Npj Digital Medicine, 1(1). https://doi.org/10.1038/s41746-017-0012-2
Gartner. (2019). Computing Appliance. Recuperado 11 de junho de 2019, de https://www.gartner.com/it-glossary/computing-appliance/
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., … Wang, Y. (2017). Artificial intelligence in healthcare: Past, present and future. Stroke and Vascular Neurology, 2(4), 230–243. https://doi.org/10.1136/svn-2017-000101
Jiang, J., & Fernandez, W. (2018). From Project Management to Program Management: An Invitation to Investigate Programs Where IT Plays a Significant Role. Journal of the Association for Information Systems, 19(1), 40–57. https://doi.org/10.17705/1jais.00480
Labuda, N., Lepa, T., Labuda, M., & Kozak, K. (2017). Medical 4.0: Medical Data Ready for Deep and Machine Learning. Journal of Bioanalysis & Biomedicine, 09(06). https://doi.org/10.4172/1948-593X.1000194
Martins, G. de A., & Theóphilo, C. R. (2009). Metodologia da Investigação Científica Para Ciências Sociais Aplicadas. São Paulo: Atlas.
Monteiro, A. C. B., França, R. P., Estrela, V. V., Iano, Y., Khelassi, A., & Razmjooy, N. (2018). Health 4.0: Applications, Management, Technologies and Review. Medical Technologies Journal, 2(4), 15.
PMI. (2017). Project Management Body of Knowledge Guide. Pennsylvania: Four Campus Boulevard.
Poli, G. A., Saviani, T. N., & Glória Júnior, I. (2018). Logistics 4.0: A Systematic Review. 9(2), 32–47.
Pressman, R. (2011). Engenharia de Software (6o ed). São Paulo: McGraw-Hill.
Sannino, G., Falco, I. D., & Pietro, G. D. (2019). A Continuous Noninvasive Arterial Pressure (CNAP) Approach for Health 4.0 Systems. IEEE Transactions on Industrial Informatics, 15(1), 498–506. https://doi.org/10.1109/TII.2018.2832081
Sommerville, I. (2011). Engenharia de Software (9o ed). São Paulo: Pearson Education.
Wahl, B., Cossy-Gantner, A., Germann, S., & Schwalbe, N. R. (2018). Artificial intelligence (AI) and global health: How can AI contribute to health in resource-poor settings? BMJ Global Health, 3(4), e000798. https://doi.org/10.1136/bmjgh-2018-000798
Yin, R. K. (2015). Estudo de caso: planejamento e métodos. Porto Alegre: Bookman.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Revista Inovação, Projetos e Tecnologias – IPTEC
![Creative Commons License](http://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.