Smart Medical History Collection App Design Research For Chinese Patients

Medical inquiries and diagnosis processes of out-patients in large Chinese hospitals are time critical in contrast to long queuing time. Yet current mobile Apps for self-diagnosis are not effective enough to resolve this issue. This paper proposes an innovative smart medical history collection App solution to address this issue based on scenario research of traditional medical inquiries and diagnosis process between doctors and patients. Essential functions with a minimalist UI were later designed and developed by integrated AI technologies, including voice recognition, text semantics extraction, and OCR technologies.This App enables patients to complete medical history collection process in advance (e.g. at home before the appointment), automatically generates a symptom and medical history abstract, which doctor could quickly review, and confirm the important and doubtful parts with patients in face to face diagnose. It shortens inquiries time effectively and increases doctor efficiency in diagnose. According to doctor's feedback in this research and design process, this App has been proved feasible to solve current problem, providing references for related research and design.