IoT Peritoneal Dialysis: An Approach Exploring Remote Patient Monitoring
Abstract
It is estimated that 5.4 million people will undergo Renal Replacement Therapy by 2030. Peritoneal dialysis seems to be the most widespread form of home treatment for these patients, but it faces problems related to its adherence. Remote monitoring has the potential to increase adherence to treatment. This work aims to design an approach that integrates: (i) a platform for the acquisition of vital signs and other parameters of a patient on peritoneal dialysis; (ii) an environment where customizable rules build Situation Science and, when necessary, send notifications to the medical team; and (iii) a signal and image visualization interface that can be accessed remotely.
Keywords:
Internet of Things, Situation Awareness, Peritoneal Dialysis, Remote Patient Monitoring
References
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Streiner, D. L. (2003). Starting at the beginning: an introduction to coefficient alpha and internal consistency. Journal of personality assessment, 80(1):99–103.
Taber, K. S. (2018). The use of cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6):1273–1296.
Turnbull, J. (2014). The Docker Book: Containerization is the new virtualization. James Turnbull.
Wallace, E. L., Rosner, et al. (2017). Remote patient management for home dialysis patients. Kidney international reports, 2(6):1009–1017.
Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8):982–1003.
Diamantidis, C. J. and Becker, S. (2014). Health information technology (it) to improve the care of patients with chronic kidney disease (ckd). BMC nephrology, 15(1):7.
Dossin, T. and Goffin, E. (2019). When the color of peritoneal dialysis effluent can be used as a diagnostic tool. In Seminars in dialysis, volume 32, pages 72–79. Wiley Online Library.
Dridi, A., Sassi, S., and Faiz, S. (2017). A smart iot platform for personalized healthcare monitoring using semantic technologies. In Tools with Artificial Intelligence (ICTAI), 2017 IEEE 29th International Conference on, pages 1198–1203. IEEE.
Foreman, K. J., Marquez, et al. (2018). Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories. The Lancet, 392(10159):2052–2090.
Jaiswal, K., Sobhanayak, et al. (2018). An iot-cloud based smart healthcare monitoring system using container based virtual environment in edge device. In 2018 International Conference on Emerging Trends and Innovations In Engineering And Technological Research (ICETIETR), pages 1–7. IEEE.
John, O. and Jha, V. (2019). Remote patient management in peritoneal dialysis: An answer to an unmet clinical need. In Remote Patient Management in Peritoneal Dialysis, volume 197, pages 99–112. Karger Publishers.
Johnson, A. E., Pollard, T. J., Shen, L., Li-wei, H. L., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., and Mark, R. G. (2016). Mimic-iii, a freely accessible critical care database. Scientific data, 3:160035.
Kruse, R. L., Ewigman, B. G., and Tremblay, G. C. (2001). The zipper: a method for using personal identifiers to link data while preserving confidentiality. Child abuse & neglect, 25(9):1241–1248.
Levin, A., Tonelli, et al. (2017). Global kidney health 2017 and beyond: a roadmap for closing gaps in care, research, and policy. The Lancet, 390(10105):1888–1917.
Likert, R. (1932). A technique for the measurement of attitudes. Archives of psychology.
Liu, N., Kim, J., Jung, Y., Arisy, A., Nicdao, M. A., Mikaheal, M., Baldacchino, T., Khadra, M., and Sud, K. (2017). Remote monitoring systems for chronic patients on home hemodialysis: field test of a copresence-enhanced design. JMIR human factors, 4(3):e21.
Lopes, J. L., de Souza, R. S., Geyer, C., da Costa, C., Barbosa, J., Pernas, A. M., and Yamin, A. (2014). A middleware architecture for dynamic adaptation in ubiquitous computing. Journal of Universal Compuerter Science, 20(9):1327–1351.
Maia, P., Baffa, A., Cavalcante, E., Delicato, F. C., Batista, T., and Pires, P. F. (2015). Uma plataforma de middleware para integraçao de dispositivos e desenvolvimento de aplicaçoes em e-health. MicroPython. Micropython.
Nunes, J. A.W.,Wallston, et al. (2011). Associations among perceived and objective disease knowledge and satisfaction with physician communication in patients with chronic kidney disease. Kidney international, 80(12):1344–1351.
of Disease, G. B. (2020). Global burden of disease.
Okoli, C. (2015). A guide to conducting a standalone systematic literature review. Communications of the Association for Information Systems, 37(1):43.
Perera, C., Zaslavsky, A., Christen, P., and Georgakopoulos, D. (2014). Context aware computing for the internet of things: A survey. Communications Surveys Tutorials, IEEE, 16(1):414–454.
Pires, P. F., Cavalcante, E., Barros, T., Delicato, F. C., Batista, T., and Costa, B. (2014). A platform for integrating physical devices in the internet of things. Proceedings of the 12th IEEE International Conference on Embedded and Ubiquitous Computing, pages 234–241.
Rosner, M. H. and Ronco, C. (2012). Remote monitoring for continuous peritoneal dialysis. In Peritoneal Dialysis-State-of-the-Art 2012, volume 178, pages 68–73. Karger Publishers.
Sezer, O. B., Dogdu, E., and Ozbayoglu, A. M. (2018). Context-aware computing, learning, and big data in internet of things: a survey. IEEE Internet of Things Journal, 5(1):1–27.
Souza, R., Lopes, J., Geyer, C., Cardozo, A., Yamin, A., and Barbosa, J. (2018). An architecture for iot management targeted to context awareness of ubiquitous applications. Journal of Universal Computer Science, 24(10):1452–1471.
Streiner, D. L. (2003). Starting at the beginning: an introduction to coefficient alpha and internal consistency. Journal of personality assessment, 80(1):99–103.
Taber, K. S. (2018). The use of cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6):1273–1296.
Turnbull, J. (2014). The Docker Book: Containerization is the new virtualization. James Turnbull.
Wallace, E. L., Rosner, et al. (2017). Remote patient management for home dialysis patients. Kidney international reports, 2(6):1009–1017.
Published
2022-07-31
How to Cite
ALBANDES, Rogério; SOUZA, Alexandre; LAMBRECHT, Rodrigo; BARCELLOS, Franklin; YAMIN, Adenauer.
IoT Peritoneal Dialysis: An Approach Exploring Remote Patient Monitoring. In: INTEGRATED SOFTWARE AND HARDWARE SEMINAR (SEMISH), 49. , 2022, Niterói.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 104-115.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2022.223083.
