Abstract
Home healthcare services enable patients to live in an environment and amongst people they are familiar with while receiving the healthcare they need. However, to provide such an arrangement, readings from healthcare devices need to be read and analyzed on a regular basis to determine healthcare services needed by patients. Then the services that are needed are matched with a limited number of healthcare professionals capable of providing the services needed. In this paper, we present a system we developed to that is capable of meeting the above requirements, but in a manner that enables patients to feel they are in charge of their healthcare while meeting licensing requirements, legal requirements, and travel schedule restrictions of professional healthcare personnel.
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References
Algethami, H., Pinheiro, R.L., Landa-Silva, D.: A genetic algorithm for a workforce scheduling and routing problem. In: 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE (2016)
Darkins, R.A., et al.: Care Coordination/Home Telehealth: the systematic implementation of health informatics, home telehealth, and disease management to support the care of veteran patients with chronic conditions. Telemed. e-Health 14(10), 1118–1126 (2008)
Dhahri, A., Zidi, K., Ghedira, K.: A variable neighborhood search for the vehicle routing problem with time windows and preventive maintenance activities. Electron. Notes Discrete Math. 47, 229–236 (2015)
Gokalp, H., Clarke, M.: Monitoring activities of daily living of the elderly and the potential for its use in telecare and telehealth: a review. Telemed. e-Health 19(12), 910–923 (2013)
Liao, C.-N., Kao, H.-P.: Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming. Comput. Ind. Eng. 58(4), 571–577 (2010)
Saaty, T.L.: The Analytical Hierarchy Process, Planning, Priority. Resource Allocation. RWS Publications, Pittsburgh (1980)
Yalçındağ, S., Matta, A., Şahin, E., Shanthikumar, J.G.: The patient assignment problem in home health care: using a data-driven method to estimate the travel times of care givers. Flex. Serv. Manuf. J. 28(1–2), 304–335 (2016)
Outcome and Assessment Information Set (OASIS)—Centers for medicare and medicaid services. https://www.cms.gov/oasis
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Lin, TS., Liu, PY., Lin, CC. (2018). Home Healthcare Matching Service System Using IoT. In: Lin, YB., Deng, DJ., You, I., Lin, CC. (eds) IoT as a Service. IoTaaS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-030-00410-1_6
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DOI: https://doi.org/10.1007/978-3-030-00410-1_6
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