Developing a Rule-Based Expert System to Infer Customized Care Plans for Long Term Care Patients

Area of Science:

• Gerontology and Healthcare Technology
• Health Informatics

Background:

• Aging societies require robust long-term care systems.
• Increasing demand for long-term care necessitates quality assurance measures.

Purpose of the Study:

• To design a rule-based expert system for automated, customized care plan generation.
• To support healthcare providers in managing long-term care patients.

Main Methods:

• Development of a rule-based expert system.
• Integration of patient assessment results for customization.
• Automated generation of tailored care plans.

Main Results:

• The system successfully generates customized long-term care plans.
• Provides a practical tool for healthcare providers.
• Addresses the need for quality management in long-term care.

Conclusions:

• The expert system is a valuable tool for enhancing long-term patient management.
• Automated care plan generation improves efficiency and personalization in elder care.
• Aids in meeting the growing demands of an aging population.