A computerized decision support system for patient selection in dental education.

Area of Science:

• Computer Science
• Dental Education
• Operations Research

Background:

• Dental education requires efficient patient selection for optimal student training.
• Traditional methods for patient assignment can be time-consuming and lack predictive accuracy.
• A need exists for a systematic approach to match student capabilities with patient treatment needs.

Purpose of the Study:

• To develop and present a computerized decision support system (DSS) for patient selection in dental education.
• To integrate project management methodologies for treatment planning and resource allocation.
• To provide a tool that estimates treatment duration, cost, and timely completion probability.

Main Methods:

• The system employs the Program Evaluation and Review Technique (PERT) and Critical Path Method (CPM) for project management.
• Decision tables are utilized for structured input and logical processing of patient data.
• The system is implemented on a microcomputer using the Basic programming language.

Main Results:

• The system processes a list of patient needs to generate a tentative treatment plan.
• It outputs essential data including estimated chair time, treatment cost, and the probability of on-time completion by students.
• Provides a quantitative basis for patient selection and treatment planning.

Conclusions:

• The computerized DSS offers a structured and efficient method for patient selection in dental education.
• PERT/CPM and decision tables provide a robust framework for treatment planning and time/cost estimation.
• This system can enhance the educational experience by optimizing patient assignments and improving resource management.