Developing a security protocol for a distributed decision support system in a healthcare environment

Abstract

In this paper, we describe the unique security issues involved in healthcare domains. These have been addressed to the needs of the HealthAgents project. In the proposed approach, several levels of security have been provided in accordance with Software Engineering principles, ethical regulations for healthcare data, as well as the security requirements usually raised from the distributed clinical settings. The result is the production of a secure and maintainable Multi-Agent System that enables secure communication, uniform home site authentication, and customised resource access authorisation. A security policy rule scheme has been designed for agent interaction modelling. This separates the functional and non-functional (security) requirements but let security policy constraints integrate into the running of the agents via a unified role notion. Each user/agent can play a function role only when its assigned social rights roles permit the access to resources of various types and geographical locations, as specified in the function role behaviour. The approach is illustrated using a comprehensive secure access case.

Counselling for Self-Employment: The Application of Decision Support System

“…The system's individual recommendation is attributed to access the flow data. According to Xiao et al (2008), multiplex database system always gears up, so we must elaborate the system environment and structure. With regard to that issue, the important task is to create the Administrator subsystem, which leads to simplicity and integration of administration and author's subsystems to one application.…”

A knowledgeable security model for distributed health information systems

“…The HealthAgents system consists of a variety of agents each charged with a different task. A more detailed description of the HealthAgents components and architecture can be found in Xiao et al (2008). For the need of open access (a requirement …”

Towards knowledge sharing and patient privacy in a clinical decision support system

“…Clinicians will employ classifiers which assist in the diagnosis of patients for particular tumours. The HealthAgents system consists of a variety of agents each charged with a different task (see [7] for more detailed description of the HealthAgents components and architecture). Figure 3 shows the interaction model where a patient case is first retrieved, then relevant classifiers invoked, case classification performed and finally, the diagnosis results updated as well as the ranking of involved classifiers.…”

“…Additional local policy rules must also be satisfied to accommodate necessary constraints. A generic policy rule schema is described in [7] for this purpose. The following shows the LCC constraints used by the database agent, being a resource manager, for permission checking before the actual role functions are carried out.…”