Abstract
Based on community medical APP as the carrier, this paper studies the emotional and experiential process of community doctors using mobile community medical APP under different cognitive loads, and puts forward the improvement of product optimization. Firstly, based on the cognitive load theory, objective user data is obtained through cognitive load control experiments on target users. Second, ask the target user to fill in the Positive and Negative Affect Scale and System Usability Scale to obtain subjective user data. Finally, analyze the user’s subjective and objective data. Based on the analysis of experimental results and user observation, the improvement strategy is proposed to reduce the barriers to community doctors learning and using community medical apps.
Highlights
A good Internet medical model improves the efficiency of work, and helps community doctors improve their clinical medical technology[1]
How to improve the self-study ability of community doctors in the community medical system has become the focus of community Internet medical research content.Based on cognitive load theory, this study explores the operating experience of community doctors for community mobile medical system under different cognitive load conditions through cognitive load control experiments, Positive and Negative Affect Scale, System Usability Scale and so on
The experimental results show that the low cognitive ±1.2)low;(169.2±1.3)high} was slightly higher than that of load is faster than that of a person with a high cognitive chunyu medical APP{(137.6 ±1.2 )low;(175.6 ±1.4)high}
Summary
A good Internet medical model improves the efficiency of work, and helps community doctors improve their clinical medical technology[1]. From the overall structure of community doctors in China, the level of cultural education of community doctors is relatively low. There are great differences in the application of Internet medical care. How to improve the self-study ability of community doctors in the community medical system has become the focus of community Internet medical research content.Based on cognitive load theory, this study explores the operating experience of community doctors for community mobile medical system under different cognitive load conditions through cognitive load control experiments, Positive and Negative Affect Scale, System Usability Scale and so on. Combined with the experimental results, the optimization method of improving the community mobile diagnosis and treatment system is put forward
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