ABSTRACT
We have developed and operated a browser-based questionnaire system for Kampo medicine based on conventional questionnaires and review of systems to reveal implicit Kampo wisdom both in patients' questionnaire data and in some Kampo specialists' examination data. However, the questionnaire data were found to be inaccurate because too many questions were included and cumbersome input steps were required. The purpose of the present study was to solve these problems and to develop a new patient-centered questionnaire system with fewer questions and an easier input method. After analyzing inquiry database from collaborating institutes and hospitals, we deleted, combined, and added questions. We changed the evaluation method of symptoms from a visual analogue scale to a simple staged evaluation, and introduced another method to evaluate the main symptoms in each time of visit using a visual analogue scale. At the same time, a tool for predicting Kampo pattern diagnoses based on the questionnaire data was implemented. We have already started collecting more accurate and reliable data using the new questionnaire system. It is expected to support routine practices and facilitate more precise clinical research on Kampo medicine.