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Method and System for Automatic Patient Symptom Description Generation

IP.com Disclosure Number: IPCOM000250200D
Publication Date: 2017-Jun-09
Document File: 3 page(s) / 334K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for helping patients to objectively communicate symptoms to medical staff by collecting, interpreting, cataloging, augmenting and normalizing symptom descriptions from a set of sensors for automatically generating a professional symptom report. The method and system also enhances a doctor’s accurate diagnosis rate, thereby reducing medical errors.

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Method and System for Automatic Patient Symptom Description Generation

In an ideal situation, a patient visiting a doctor explains the symptoms experienced to help the doctor make the correct diagnosis and provide an appropriate treatment plan, following which the doctor documents the diagnosis on a computer with the relevant patient medical history. However, misdiagnosis and medical errors arise due to incomplete patient history. Now incomplete patient history usually occurs at the patient’s end due to problems including, but not limited to, patients forgetting details of symptoms, language problems of patients and misinterpretations of information by doctors and nurses.

Thus, there exists a need for a system that facilitates doctors to make the correct diagnosis of a patient’s ailments by accessing an accumulative patient profile to enable the symptoms to be put into context.

Disclosed is a method and system for helping patients to objectively communicate symptoms to medical staff by collecting, interpreting, cataloging, augmenting and normalizing symptom descriptions from a set of sensors for automatically generating a professional symptom report. The method and system also enhances a doctor’s accurate diagnosis rate, thereby reducing medical errors.

Figure 1 is an illustrative flow chart depicting the method and system.

FIGURE 1

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Referring to Figure 1, a service provider side and a client side has been described in accordance with the method and system.

At the service provider side, at a first step, a set of symptom description templates and criteria of symptom description are defined followed by refining of the symptom descriptions. The service provider, further, provides an app to collect patient information from the client end. In accordance with Figure 1, a patient information collector, collaboratively collects information from multiple sources such as, but not limited to, medical equipment, fitness trackers, related pictures to the symptom (such as coughed out mucus and skin conditions), related audio to the symptom (such as wheezing of the throat and coughing), related video to symptom and patient descriptive input regarding symptoms. On installing and setting the app to collect patient information at the client side, the app collects signals from a set of pre-defined signals and uploads the collected patient information and data to a symptom description server. The medical equipment includes, but is not limited to, asthma inhaler, heart monitor and pulse monitor and fitness trackers can be, but need not be limited to, wrist bands and android health apps.

Again at the service provider side, the method and system identifies key symptoms from the huge collection of patient information and data, in line with the pre-determined set of symptom description templates and criteria of symptom description. The step of identifying key symptoms from the patient information collection includes, but is not limited to, detection and analysis o...