Abstract
Healthcare service providers, including those involved in renal disease management, are concerned about the planning of their patients’ treatments. With efforts to automate the planning process, shortcomings are apparent due to the following reasons: (1) current plan representations or ontologies are too fine grained, and (2) current planning systems are often static. To address these issues, we introduce a planning system called Dynamic Personalized Planner (DP Planner) which consists of: (1) a suitably light-weight and generic plan representation, and (2) a constraint-based dynamic planning engine. The plan representation is based on existing plan ontologies, and developed in XML. With the available plans, the planning engine focuses on personalizing pre-existing (or generic) plans that can be dynamically changed as the condition of the patient changes over time. To illustrate our dynamic personalized planning approach, we present an example in renal disease management. In a comparative study, we observed that the resulting DP Planner possesses features that rival that of other planning systems, in particular that of Asgaard and O-Plan.
Highlights
Healthcare service providers are undoubtedly concerned about updating their patients’ health records or profiles, and the planning of their patients’ treatments to support the efficient and effective delivery of healthcare services
Not all healthcare service providers are carrying out planning activities effectively, especially when it comes to automated or computer-based planning, due to shortcomings in current planning systems
To address the concerns above, we present a methodology for generic and dynamic healthcare planning, resulting in a system called the Dynamic Personalized Planner (DP Planner) [1]
Summary
Healthcare service providers are undoubtedly concerned about updating their patients’ health records or profiles, and the planning of their patients’ treatments to support the efficient and effective delivery of healthcare services. The first problem is that most of the current plan representations or ontologies are too fine grained (detailed). This means that the plan representations or ontologies are not suited for all situations and for all levels. The second problem is that current planning systems are often static. This means planning is carried out once without taking into account changes that may take place as time goes on. These plans do not consider past events. Dynamic planning is required to allow plans to be updated as new situations arise
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