Cooperative-Competitive Healthcare Service Negotiation

[img]
Preview
i139.pdf - Accepted Version (748kB) | Preview

Tao, Xuehong, Miao, Yuan and Zhang, Yanchun (2012) Cooperative-Competitive Healthcare Service Negotiation. International Journal of Software and Informatics, 6 (4). pp. 553-570. ISSN 1673-7288

Abstract

Service negotiation is a complex activity, especially in complex domains such as healthcare. The provision of healthcare services typically involves the coordination of several professionals with different skills and locations. There is usually negotiation between health- care service providers as different services have specific constraints, variables, and features (scheduling, waiting lists, availability of resources, etc.), which may conflict with each other. While automating the negotiation processes by using software can improve the e±ciency and quality of healthcare services, most of the existing negotiation automations are positional bargaining in nature, and are not suitable for complex scenarios in healthcare services. This paper proposes a cooperative-competitive negotiation model that enables negotiating parties to share their knowledge and work toward optimal solutions. In this model, patients and healthcare providers work together to develop a patient-centered treatment plan. We further automate the new negotiation model with software agents.

Item type Article
URI https://vuir.vu.edu.au/id/eprint/22138
Official URL http://www.ijsi.org/ch/reader/view_abstract.aspx?f...
Subjects Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > FOR Classification > 1117 Public Health and Health Services
Historical > SEO Classification > 9202 Health and Support Services
Current > Division/Research > College of Science and Engineering
Keywords ResPubID26331, negotiation automation, interest-based negotiation, cooperative-competitive negotiation, multiagent systems, artificial intelligence, eHealth, health service integration
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login