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Recently, there has been a growing interest in developing AI-enabled-based symptom checker (CSC) apps in the healthcare market. CSC apps potential diagnoses for users and assist them with self-triaging based Artificial Intelligence (AI) techniques using human-like conversations. the popularity of such CSC apps, little research has been done to their functionalities and user experiences. To do so, we conducted feature review, a user review analysis, and an interview study. We found that existing CSC apps lack the functions to support the whole diagnostic of an offline medical visit. We also found that users perceive the CSC apps to lack support for a comprehensive medical history, flexible input, comprehensible questions, and diverse diseases and user groups. on these results, we derived implications for the future features and design of CSC apps.
You et al. (2021) studied this question.