This study evaluates a surgical decision-support software designed to assist physicians in selecting the optimal surgical sequence for patients with colorectal cancer liver metastases.
In this multicenter prospective simulation study, participating surgeons from multiple centers will review standardized clinical case scenarios. For each case, physicians will first make a surgical sequencing decision based on their own clinical judgment. They will then review the recommendation provided by the decision-support software and make a second decision if they choose to revise their initial plan.
The study will assess whether the software influences clinical decision-making, including changes in surgical strategy, decision confidence, decision time, and agreement with software recommendations. Physician user experience will also be evaluated using standardized questionnaires, including system usability and cognitive workload scales.
The goal of this study is to determine the clinical utility and usability of the decision-support software in improving surgical decision-making consistency and supporting clinical reasoning in colorectal liver metastases cases.
Licensed physicians specializing in hepatobiliary surgery or colorectal surgery
At least 1 year of clinical experience after graduation
Willing to participate in the simulation-based decision-making study
Practicing at one of the participating tertiary academic hospitals
Not actively involved in clinical surgical decision-making
Unable to complete all required simulation sessions
Prior involvement in the development of the decision-support software
This study will enroll physicians from three tertiary academic medical centers in China, including hepatobiliary surgeons and colorectal surgeons with varying levels of clinical experience. Participants will be required to complete standardized simulation-based case evaluations involving surgical decision-making for colorectal cancer liver metastases. The study aims to assess changes in decision-making behavior, confidence, and usability of a decision-support software system.
Cohort
Prospective
Unaided Clinical Decision-Making
Other interventionUsual Clinical Decision-Making (Without Decision Support Software)
Software-Assisted Clinical Decision-Making
Other interventionPhysicians make surgical sequencing decisions after reviewing recommendations generated by the decision-support software, including weighted scores and predicted outcomes.
Change in Surgical Decision-Making Between Software-Assisted and Non-Assisted Conditions
The primary outcome is the proportion of cases in which physicians change their surgical sequencing decision after reviewing decision-support software recommendations compared with their initial unaided decision.
Software utilization outcomes
Software adoption rate (agreement between final decision and software recommendation); Post-change adoption rate among changed decisions
Decision performance outcomes
Decision-making time (seconds per case); Inter-group comparison between unaided and software-assisted conditions
Human factors outcomes
Decision confidence score (5-point Likert scale)
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