TREATMENT PLAN PREDICTING MOBILE APPLICATION FOR ACUTE INTESTINAL OBSTRUCTION: A COMPARATIVE STUDY OF OUTCOMES WITH AND WITHOUT APP-BASED DECISION SUPPORT

Abstract

Background: Acute intestinal obstruction (AIO) is a surgical emergency requiring timely intervention. Conventional clinical assessment may delay decisions, whereas mobile-based decision-support tools could improve efficiency and accuracy.

Objective: To evaluate the effectiveness of a mobile application incorporating a new scoring system for predicting treatment plans in AIO and compare outcomes with conventional clinical assessment.

Methods: A prospective observational study was conducted on 50 patients with AIO randomized into two groups: App-assisted (n=25) and Control (n=25). Clinical and radiological findings were entered into the app, which generated treatment recommendations. Primary outcomes included accuracy of treatment plan and decision-making time. Secondary outcomes were conversion to surgery, complications, hospital stay, and mortality.

Results: Both groups were comparable in demographics. The app significantly reduced decision-making time (1.25 ± 0.15 vs. 21.76 ± 1.42 minutes; p<0.001). Treatment accuracy was similar (surgical management: 72% vs. 76%, p=0.39). Conversion to surgery was lower in the App group (8% vs. 12%, p=0.44). Postoperative complications were fewer in the App group (20% vs. 32%, p=0.32). Hospital stay was shorter (13 vs. 17 days, p=0.50). Mortality was zero in both groups.

Conclusion: The mobile application provided rapid and reliable decision support in AIO, reducing diagnostic delays without compromising treatment accuracy. Such tools can enhance surgical decision-making and optimize emergency care.