Evaluation of internet-based clinical decision support systems.

Area of Science:

• Medical Informatics
• Clinical Decision Support
• Health Services Research

Background:

• Clinical guidelines are crucial for quality care but often fail to change physician behavior.
• The internet offers a platform for effective guideline dissemination and implementation.
• Previous attempts at guideline education have shown limited success in altering practice.

Purpose of the Study:

• To develop and evaluate internet-delivered decision support systems (DSS) for asthma and tuberculosis (TB) preventive therapy.
• To test the effectiveness of these DSS in influencing physician decision-making.
• To create accessible tools for improving guideline compliance.

Main Methods:

• Developed DSS using HTML and CGI based on national asthma and TB guidelines.
• Implemented decision algorithms within the DSS for real-time clinical use.
• Tested DSS effectiveness through clinical scenario testing with healthcare professionals.

Main Results:

• Nurses using the asthma DSS achieved expert-level accuracy (89% vs. 88%).
• Internal medicine residents using the computerized asthma DSS outperformed those using paper guidelines (92% vs. 84%).
• Residents using the computerized TB DSS showed significantly higher correct scores than those using printed cards (95.8% vs. 56.6%).

Conclusions:

• Internet-based clinical DSS can significantly improve physician adherence to national guidelines.
• These widely available DSS serve as effective educational tools by integrating information with clinical activities.
• The study demonstrates a successful approach to overcoming barriers in guideline implementation and physician education.