A new software architecture proposal for an evidence-based Decision Support System in dentistry

Area of Science:

• Dentistry
• Medical Informatics
• Decision Analysis

Background:

• Dental clinical problems require evaluating long-term therapy success rates.
• Current decision support software lacks flexibility for diverse therapeutic options.

Purpose of the Study:

• Develop a novel algorithm for a Decision Support System (DSS) software.
• Enhance diagnostic support in dentistry.

Main Methods:

• Beta testing of the computer software using clinical data.
• Evaluation of conservative/endodontic vs. extractive/prosthetic therapies.
• Assessment of scenarios with multiple viable treatment options.

Main Results:

• The DSS software accurately identified multiple therapeutic options in tested clinical situations.
• The software presented a range of treatment choices with survival and success rates.
• Output masks effectively displayed comparative data for multiple treatment possibilities.

Conclusions:

• The proposed software architecture is technically feasible for clinical application.
• The system supports evidence-based clinician choices.
• Facilitates informed patient consent through easily understandable data.