Systems and methods to triage and assess solution steps to empower a user in resolving a reported issue

Abstract

A computer-implemented system assists resolution of service cases for medical imaging devices by retrieving device and case data, estimating likelihoods and timeframes for multiple resolution pathways, and presenting results in a user interface. Input may include images of device error messages captured by a camera; optical character recognition extracts text, and language detection and translation normalize messages for analysis. Models leverage historical repair data, technician profiles, and part replacement indicators to score pathways and forecast durations. A cost metric can combine likelihood and timeframe with service and scheduling costs to recommend actions and trigger service calls. The approach reduces downtime and improves dispatch and repair efficiency across customer and provider personnel.