Abstract
Recent research has explored how mobile networks are revolutionizing multiple aspects of healthcare in both developing and developed countries. As an area of innovation with the potential to make a huge difference, mHealth involves the utilization of mobile communication technologies to deliver healthcare services, such as SMS alerts that remind patients to take their prescription drugs at the appropriate time, remote diagnosis and even treatment for patients who do not have easy access to physicians, remote health monitoring devices that track and report patients’ conditions, and scheduling drug delivery. Such services could have a major impact on healthcare outcomes and costs. Decision making in mHealth drug delivery systems is complex. Decisions involve satisficing multiple goals regarding customer service quality, service cost, and healthcare worker satisfaction. With the increasing world-wide need for effective home healthcare, the increasing elderly population, and the increasing pressure from governments and other stakeholders, developing effective approaches for mHealth drug delivery decisions is imperative. In this paper, we present a multi-agent architecture that facilitates decision making in mHealth drug delivery system. The approach integrates the capabilities of a multi-agent system and Web services so as to facilitate effective decisions for home healthcare services. The aim is to provide a multi-agent system, where decisions are based on intelligent agents that provide quick and intelligent alternative decisions in a dynamic environment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Akjiratikarl, C., Yenradee, P., Drake, P.R.: PSO-based algorithm for home care worker scheduling in the UK. Computers & Industrial Engineering 53, 559–583 (2007)
Anthony, J.M.: Tablet computers for mhealth: opportunities for personal healthcare. In: Proceedings of the IASTED International Conference, Health Informatics (AfricaHI 2012), Botswana, pp. 355–359 (2012)
Ascari, A., Bakshi, A., Grijpink, F.: mHealth: A new vision for healthcare. McKinsey & Company, Inc., and GSMA (2010)
Bachouch, R.B., Guinet, A., Hajri-Gabouj, S.: A model for scheduling drug deliveries in a french homecare. In: International Conference on Industrial Engineering and Sytems Management, IESM 2009, Montreal, Canada (2009)
Hahadori, S., Cesta, A., Grisetti, G., Iocchi, L., Leonel, R., Nardi, D., Oddi, A., Pecora, F., Rasconi, R.: RoboCare: Pervasive Intelligence for the Domestic Care of the Elderly. AI*IA Magazine Special Issue (January 2003)
Corchado, J.M., Bajo, J., Abraham, A.: GERAmI: Improving the delivery of health care. IEEE Intelligent Systems. Special Issue on Ambient Intelligence (March/April 2008)
Dolan, B.: Philips suggests dedicated mHealth spectrum (2010), http://mobihealthnews.com/7178/philips-suggests-dedicated-mhealth-spectrum/
Eveborn, P., Rönnqvist, M., Einarsdóttir, H., Eklund, M., Lidén, K., Almroth, M.: Operations Research Improves Quality and Efficiency in Home Care. Interfaces 39, 18–34 (2009)
Fraile, J.A., Tapia, D.I., Rodríguez, S., Corchado, J.M.: Agents in Home Care: A Case Study. In: Corchado, E., Wu, X., Oja, E., Herrero, Á., Baruque, B. (eds.) HAIS 2009. LNCS, vol. 5572, pp. 1–8. Springer, Heidelberg (2009a)
Fraile, J.A., Bajo, J., Abraham, J., Corchado, J.M.: HoCaMA: Home care hybrid multiagent architecture. In: Hassanien, A.E., et al. (eds.) Pervasive Computing: Innovations in Intelligent Multimedia and Applications, Computer Communications and Networks, pp. 259–285. Springer-Verlag London Limited (2009b)
Krohn, R., Metcalf, D.: mHealth: From Smartphones to Smart Systems (2012), http://www.mhimss.org/sites/default/files/resource-edia/pdf/CHAPTER%202_mHealth.pdf
Maeder, A.J.: Tablet computers for mhealth: opportunities for personal healthcare. In: Proceedings of the IASTED International Conference, Health Informatics (AfricaHI 2012), Botswana, pp. 355–359 (2012)
Matta, A., Chahed, S., Sahin, E., Dallery, Y.: Modelling home care organisations from an operations management perspective. Journal of Flexible Service Manufacturing (2012), doi:10.1007/s10696-012-9157-0
Monostori, L., Kadar, B.: Agent-based control of manufacturing systems. In: Proceedings of Second International Conference on Intelligent Processing and on Intelligent Processing and Manufacturing of Materials (IPMM 1999), Hawaii, USA, pp. 131–137 (1999)
Nyanga, L., Van Der Merwe, A.F., Matope, S., Tlale, N.: E-Manufacturing: A framework for increasing manufacturing resource utilization. In: Proceedings of the 42nd Computers & Industrial Engineering, Cape Town, South Africa, pp. 1–12 (2012)
de Rossi, D., Lorussi, F., Tognetti, A.: Wearable systems for e-health: telemonitoring and telerehabilitation. In: Proceedings of the IASTED International Conference, Health Informatics (AfricaHI 2012), Botswana, pp. 335–338 (2012)
Tapia, D.I., Bajo, J., De Paz, F., Corchado, J.M.: Hybrid Multi-agent System for Alzheimer Health Care. In: Rezende, S.O., da Silva Filho, A.C.R. (eds.) Proceedings of HAIS 2006, Ribeirao Preto, Brasil (2006)
Topaloglu, S., Selim, H.: Nurse scheduling using fuzzy modeling approach. Fuzzy Sets and Systems 161, 1543–1563 (2010)
Varnfield, M., Ding, H., Karunanithi, M.: Use of mobile phone based health applications in home care delivery of cardiac rehabilitation. In: Proceedings of the IASTED International Conference, Health Informatics (AfricaHI 2012), Botswana, pp. 360–365 (2012)
Zhang, D.Z., Anosike, A.I., Lim, M.K., Akanle, O.M.: An agent-based approach for e-manufacturing and supply chain integration. Computers & Industria Engineering 51, 343–360 (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Mutingi, M., Mbohwa, C. (2015). Developing Multi-agent Systems for mHealth Drug Delivery. In: Adibi, S. (eds) Mobile Health. Springer Series in Bio-/Neuroinformatics, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-12817-7_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-12817-7_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12816-0
Online ISBN: 978-3-319-12817-7
eBook Packages: EngineeringEngineering (R0)