Abstract: Objective To investigate and analyze key indicators of tele-education quality based on regional tele-education platform, with medical personnel from hospitals at all levels within the platform as the research objects, in order to provides the basis for the effective adjustment of regional distance education model. Method Based on rough set and IPA model, the regional distance education quality index database and its weights are constructed by using literature method and questionnaire survey. Result 17 third-level indicators were selected through rough set screening and weight determination. After the IPA model was built, the average importance value of the indicators was 0.0588, and the average satisfaction value was 4.026. Three indicators were located in the sustaining area of the first quadrant, nine indicators were located in the transition area of the second quadrant, two indicators were located in the low priority area of the third quadrant, and three indicators were located in the priority improvement area of the fourth quadrant. Conclusion By applying rough set theory and IPA model, it is possible to effectively identify the key factors affecting the quality of remote education. In remote education work, it is necessary to strengthen the incentive mechanism, establish a feedback and communication mechanism, improve the sharing system of training replay, optimize the remote education process, and provide medical staff with a more convenient and high-quality remote education platform.

Key words: Rough set, Importance-Performance Analysis model, Distance education, Quality evaluation