[Computer Aided Support for Deciding on Applications for Rehabilitation ("CEBRA")]

Area of Science:

• Rehabilitation medicine
• Health informatics
• Decision support systems

Context:

• Current methods for assessing rehabilitation applications lack uniformity and transparency.
• Sociomedical services require objective criteria for decision-making.
• Existing guidelines for rehabilitation assessments are complex and varied.

Purpose:

• To develop a computer-aided procedure for assessing rehabilitation applications.
• To establish uniform and transparent criteria for application evaluation.
• To create a recommendation system for sociomedical services.

Summary:

• Analyzed existing rehabilitation assessment manuals to identify key criteria and translate them into measurable parameters.
• Developed physician and applicant questionnaires and defined algorithms for decision-making recommendations.
• Conducted a pilot study with 436 applications, comparing CEBRA recommendations with administrative decisions.

Impact:

• The CEBRA system effectively differentiates between minor and severe medical/disability cases.
• The system demonstrated an 80% approval rate, similar to administrative decisions.
• While not significantly altering approval rates, CEBRA can enhance information basis and objectivity in rehabilitation application decisions.