SYSTEMS AND METHODS FOR AUTOMATICALLY EVALUATING MEDICAL PATIENT SYMPTOMS AND PROVIDING TAILORED PRESCRIPTIONS

摘要

The present disclosure is generally related to automatically evaluating medical patient symptoms and, more specifically, to systems and methods for providing tailored prescriptions, multi-dimensional patient matching and symptom monitoring. In particular, a medical patient completes a questionnaire, responses to the questionnaire are correlated with information obtained from a medical knowledge resource and an integrated symptoms summary is generated based on the responses to the questionnaire and the information obtained from the medical knowledge resource. A tailored prescription is provided to the patient based on the integrated symptoms summary and physician consultation (if applicable), patients are compared to other patients according to questionnaire responses so that they can connect with each other if they chose, and patients are able to monitor symptoms over time so that they can gain insight into whether treatments are working.

主权项

1. A computerized method for automatically evaluating medical symptoms and providing a tailored prescription, the method comprising:
(a) receiving, at a processor of a computing device, data representative of a medical patient questionnaire information, wherein the medical patient questionnaire information includes information regarding symptoms related to a medical condition; (b) receiving, at the processor of the computing device, data representative of medical knowledge information based on the data representative of the medical patient questionnaire information, wherein the medical knowledge information is, at least partially, based on the medical condition; (c) causing the processor to automatically generate an integrated symptoms summary based on the data representative of the medical patient questionnaire information and the data representative of the medical knowledge information; and (d) causing the processor to automatically generate a tailored prescription based on the data representative of a medical patient questionnaire, the data representative of the medical knowledge information and the data representative of the physician consultation information.