1. The Clinical Challenge

Determining the status of spinal surgery patients requires the complex calculation of the Spin Surgery Injury Severity (SSIS) Score. This score involves 32 criteria divided into five main categories (Life, Nerve, Bone, Muscle, and Skin) with wide-ranging scores (25 to 400 points per criterion). Performing this calculation manually at the point-of-care was highly susceptible to human error and consumed critical physician time. Crucially, the total score determines five injury grades (Very Severe to Safe) and specific clinical recommendations and anticipations that must be immediately addressed.

2. The Incode Online Solution

Incode Online developed a Mobile App that functions as a precise Automated Clinical Decision Support system:

1. 32-Criteria Algorithm Automation: We digitized the entire complex SSIS scoring algorithm. The physician only inputs the 32 clinical variables, and the application instantly calculates the patient’s total score. This includes criteria ranging from blood loss during surgery to concomitant skin infection.
2. Real-Time Decision Support: Based on the Total Score, the application automatically maps the result to one of the five Injury Grades and displays the highly specific Recommendations and Anticipations. For example, a score $> 4788$ triggers the recommendation: “High risk of mortality, Surgery should be delayed” and the need for “More thorough evaluation regarding other diseases”.
3. Absolute Accuracy: This solution eliminates the risk of manual calculation errors, providing 100% accuracy assurance for vital diagnostic outcomes, which is critical for surgical decisions.

3. Measurable Results (Efficiency & Decision Quality)

The platform successfully integrated deep scoring precision with the speed of clinical decision-making.