KR100916747B1 - System and Method of presuming a disease and managing a remedial value using a medical examination - Google Patents

Abstract

According to the present invention, a patient who suspects a disease through a systematic and objective questionnaire delivers his symptoms and pains to a specialist quickly and accurately, thereby establishing a precise disease estimation data and a disease prediction data for the patient, and based on the treatment effect. It is to provide a disease estimation and treatment effect management system and method that can provide accurate medical services as well as management.

Disease estimation and treatment effect management system according to the present invention, a questionnaire table input unit for creating and inputting a questionnaire table that describes a predetermined questionnaire items; A data classification unit classifying the check items of the questionnaire items created through the questionnaire table input unit according to a predetermined code number; A database for storing data input through the questionnaire table input unit based on codes classified by the data classification unit; A calculator configured to calculate a health level, a symptom level, a disease risk level, and a treatment effect level using data stored in a database; And an operation result storage unit for storing a result calculated by the operation unit.

Description

System and Method of presuming a disease and managing a remedial value using a medical examination

1 is a block diagram showing the configuration of a disease estimation and treatment effect management system using a questionnaire according to an embodiment of the present invention

2 is an exemplary view showing an example of a questionnaire table prepared in the first step of the questionnaire according to an embodiment of the present invention.

3 is a flowchart illustrating a process of estimating a disease by calculating health, symptom, and disease risk before treatment according to an embodiment of the present invention.

4 is a flowchart illustrating a process of estimating a disease and managing a treatment effect by calculating health, symptom, disease risk, and treatment effect after treatment according to an embodiment of the present invention.

* Brief description of the symbols in the drawings *

100: paperweight input unit 200: data classification unit

300: database 310: personal information database

330: Health Database 350: Symptoms Database

400: calculator 410: health calculator

430: symptom calculation unit 450: disease risk calculation unit

470: treatment effect calculation unit 500: calculation result storage unit

600: display unit

The present invention relates to a system and method for estimating a disease through a questionnaire, predicting a disease that is likely to occur in the future, and managing a treatment effect, and in particular, a patient suspected of a disease through a systematic and objectified questionnaire. System and method to deliver symptoms and pains to a specialist quickly and accurately, enabling the specialist to build disease estimation data and disease prediction data for the patient, and to manage the treatment effect and provide accurate medical services. It is about.

Recently, with the development of the Internet, a remote medical service using the same has been developed, and medical services such as online diagnosis, treatment, and consultation are being actively performed. As a kind of medical service, there is a telemedicine system in which a patient diagnoses a patient's risk through a given questionnaire and sends it to a telemedicine system, where a specialist diagnoses the patient's disease based on this data. However, since the questionnaire for patients' symptoms was pre-filled and it was a one-way answer rather than a questionnaire through direct dialogue with a specialist, there was no limit to the accuracy of the questioning symptoms.

As another type of telemedicine system, there is a telemedicine system in which a specialist diagnoses data based on the measured data by interlocking data measured using a home medical device. However, home medical devices differ in the accuracy of measurements from specialized medical devices for hospitals, and because they are rarely calibrated on a regular basis, there is a large error in their measurement data, and the price of the equipment itself is too high for the general public to use. There was a problem that there was.

On the other hand, in the case of visiting the hospital, it is difficult for the patient to accurately convey his symptoms during the short medical time of about 5 to 10 minutes.In the case of the patient's lack of expressiveness or lack of medical knowledge, the doctor has the correct symptom. It is not easy to figure out. In addition, patients tend to prefer large hospitals, and there is a problem in that time loss is large, such as waiting for 2-3 hours for a short consultation time of about 5 minutes to 10 minutes since a proper appointment system is not implemented.

Accordingly, an object of the present invention is to establish a precise disease estimation data and disease prediction data for a patient by promptly and accurately delivering a patient's symptoms and pain to a specialist through a systematic and objective questionnaire. It aims to provide a disease estimation and treatment effect management system and method for managing treatment effects on the basis and providing accurate medical services.

In order to solve the above technical problem, the disease estimation and treatment effect management system according to an embodiment of the present invention, a questionnaire table input unit for creating and inputting a questionnaire table that describes a predetermined questionnaire items; A data classification unit classifying the check items of the questionnaire items created through the questionnaire table input unit according to a predetermined code number; A database for storing data input through the questionnaire table input unit based on codes classified by the data classification unit; A calculator configured to calculate a health level, a symptom level, a disease risk level, and a treatment effect level using data stored in a database; And an operation result storage unit for storing a result calculated by the operation unit.

In addition, the disease estimation and treatment effect management method according to an embodiment of the present invention, comprising the steps of creating and inputting a questionnaire that describes a predetermined questionnaire item; Classifying the check items of the questionnaire items written in the questionnaire table according to a predetermined code number; Storing the data input in the questionnaire table in the database for each classified code; Sequentially calculating health, symptom, disease risk, and therapeutic effect using data stored in a database; And storing the calculated health, symptom, disease risk, and therapeutic effect.

Other objects and advantages of the present invention in addition to the above object will become apparent from the description of the preferred embodiment of the present invention with reference to the accompanying drawings.

Hereinafter, a disease estimation and treatment effect management system and method using the questionnaire of the present invention will be described in detail with reference to FIGS. 1 to 3.

1 is a block diagram showing a disease estimation and treatment effect management system using a questionnaire according to an embodiment of the present invention.

Referring to Figure 1, the disease estimation and treatment effect management system of the present invention, a questionnaire table input unit 100 for creating and inputting a questionnaire table that describes a predetermined questionnaire items, and the questionnaire items created through the questionnaire table input unit 100 The data classifying unit 200 classifies the check items according to a predetermined code number, and the database 300 storing data input through the questionnaire table input unit 100 based on the codes classified by the data classifying unit 200. And a calculation unit 400 for calculating a health level, a symptom level, a disease risk level, and a treatment effect level using data stored in the database 300, and storing a calculation result storing the result calculated by the operation unit 400. A portion 500 is included.

The questionnaire table input unit 100 is connected to the data classification unit 200 through a communication network such as the Internet, a telephone, an intranet, and the questionnaire input step through the questionnaire table input unit 100 includes a symptom manifestation step, a diagnosis step of a specialist, and a confirmation of treatment effect. Consists of three steps.

The symptom expression stage, which is the first stage of the questionnaire, is a stage for estimating the disease, in which the health and symptom of the patient are checked. In the symptom manifestation, the patient may be asked by telephone call with a counselor, the patient himself or his or her family can access the internet site and enter the questionnaire directly, or the patient himself visits the hospital. You can choose according to a convenient way, such as receiving. In the symptom manifestation, the questionnaire includes patient personal information including information such as the sex, age, marital relationship, occupation, and address of the patient, basic lifestyle including the eating habits and exercise habits of the patient, and the patient's past. Medical history, family history, and symptoms on the patient's body. 2 is an exemplary view showing an example of a questionnaire prepared in the first step of the questionnaire.

The second stage of the questionnaire, the diagnosis of a specialist, is a step for predicting a patient's disease, in which the risk of the disease is checked. The questionnaire at the diagnosis stage of a specialist is performed by a patient visiting the hospital in person and consulting with a nurse or a specialist. In this stage, not only the examination by nurses and specialists but also the detailed diagnosis using the diagnostic equipment can be performed. The medical examination at the diagnosis stage includes major symptoms, current symptoms, changes in the onset and symptoms, and detailed lifestyle.

The third step of the questionnaire, the therapeutic effect confirmation step, is to confirm the adequacy of the treatment. In this step, the therapeutic effect on the symptoms of the patient is checked. The questionnaire at the stage of confirming the treatment effect is checked from the start of the treatment to the treatment or after the completion of the treatment. The questionnaire at the stage of confirming treatment effects includes the change of symptoms, the degree of symptoms, and the monitoring of symptoms.

The data collected through the above questionnaire is assigned a unique code number for each disease and symptom, and these data are used by weighting factors affecting the disease to estimate and predict the disease. And manage the therapeutic effect.

In the present invention, the health factor (H'factor) and the symptom (D'factor) are set as factors influencing the disease, and through this, the risk of disease (R'factor) and the treatment effect (E'factor) are calculated. I came up with a way.

The data classification unit 200 assigns a code number predetermined for each question item to the data input through the questionnaire table input unit 100, and stores the data classified according to the code number in the database 300.

The database 300 includes a personal information database 310, a health database 330, and a symptom database 350. For example, the personal information database 310 stores personal information including the sex, age, marital relationship, occupation, address, etc. of the patient, and the health database 330 includes the patient's eating habits, exercise habits, drinking amount, and smoking amount. Basic lifestyle, including stress, obesity, etc. are stored, and the symptom database 350 includes the patient's past history and family history, the patient's nervous system symptoms, ophthalmic symptoms, digestive symptoms, respiratory symptoms, cardiovascular symptoms, Endocrine symptoms, gynecological symptoms, urinary symptoms, musculoskeletal symptoms may be stored.

The calculator 400 includes a health calculator 410, a symptom calculator 430, a disease risk calculator 450, and a treatment effect calculator 470.

The health level calculator 410 calculates a health level using the personal information database 310 and the health level database 330. Health level is a factor that affects the health of the patient (unhealthy factors of the patient) and depends on the living environment and habits of the individual, in the embodiment of the present invention is given a score of 0.1 points for each item, the total sum It is set not to exceed 1. In this case, the health level is determined by the following Equation 1, and the health level is determined to maintain a healthy living environment.

Health = (1-H'factor)

When the health level is expressed as a percentage, the equation 1 may be multiplied by 100.

Items for checking health may include age, medical history, family history, drinking, smoking, stress, obesity, exercise time, occupation, and eating habits. Table 1 below shows examples of health factors, health evaluation items, and scores.

Factor Item score 1.Age 30 years old or younger 0 More than 30 years old 40 years old 0.07 More than 40 years old 50 years old 0.08 More than 50 years old 60 years old 0.09 60 years old 0.1 2.history none 0 has exist 0.1 3. Family history none 0 has exist 0.1 4.drinking Stage 1 (Relief) 0 Tier 2 (1 bottle every 7 days) 0.07 Tier 3 (1 bottle every 3 days) 0.08 Stage 4 (1 bottle every 2 days) 0.09 Step 5 (1 bottle every day) 0.1 5.Smoking Stage 1 (Anium) 0 Stage 2 (more than 5 skins a day) 0.7 Stage 3 (Happy Days or More) 0.08 4 stages (1 pack or more per day) 0.09 Stage 5 (more than 2 packs a day) 0.1 6.Stress Step 1 (none) 0 Stage 2 (Neural Use) 0.07 Stage 3 (angry) 0.08 Step 4 (bleeding back) 0.09 Stage 5 (Headaches Occurred) 0.1 7.obesity normal 0 Low weight 0.1 obesity 0.1 8. Exercise Regular exercise 0 Don't 0.1 9. Occupation Housewife / Unemployed / Student 0 Managerial / Office Work 0.07 Technical job 0.08 Production 0.09 Sales Jobs / Driving 0.1 10. Eating habits Stage 1 (Rule + Vegetarian) 0 Stage 2 (Rules + Meat) 0.06 Stage 3 (Rules + Spicy and Salty Foods) 0.07 Stage 4 (irregular + meat) 0.08 Step 5 (irregular + spicy and salty food) 0.09 Step 6 (irregular + meat + spicy and salty food) 0.1

The symptom calculator 430 calculates the symptom using the symptom database 350. D'factor is a factor that estimates the disease based on the patient's symptoms.The symptom of the nervous system, ophthalmologic symptoms, digestive symptoms, respiratory symptoms, cardiovascular symptoms, endocrine symptoms, gynecological symptoms, and urinary symptoms according to the symptoms appearing in the patient. And musculoskeletal symptoms. In the embodiment of the present invention, the score given for each symptom item of the patient is not set to more than one. The symptom can be expressed as a percentage of the Dfactor. The higher the symptom, the higher the likelihood of developing the disease. Table 2 below shows the elements of symptom, and examples of symptom evaluation items and scores.

Factor Symptom Item score Nervous system Recently, a new headache or worse has occurred. One The object appears to be two. One Nausea or vomiting with headaches. One The pronunciation is not smart and dark. One Arms and legs are weak, unable to walk straight One I can hear a buzz in my ear. One The ceiling turns round and dizzy. One Stiff shoulders One Nervous System Dfactor = (Sum of Selected Scores) / 8 8 2.Ophthalmology Looks less blurry or cloudy than before One When you look at the lights, you feel a hazy halo. One There is glaucoma in the family. One Pain in the eyes and nausea and vomiting together. One There is a snowball in my eyes. One My eyes are noisy. One Ophthalmology Dfactor = (Sum of Selected Scores) / 6 6 3. Fire Extinguishing Machine Recently, no weight has been lost for no particular reason. One I have a sore throat and I feel stuffy. One I have a sore throat and a dry cough. One After a meal, a bitter or sore throat comes over the neck. One Difficult to digest and bloated One On the fasting, the tip ends hurting or bitter. One The lower abdomen often hurts and disappears after defecation. One Constipation or diarrhea is repeated during abdominal pain. One Mucus mixes or dilutes feces. One I have a bloating feeling. One Stool is black like jajangmyeon. One Blood in the stool or blood on the tissue One Stool is difficult or thin. One There is a colon cancer patient in my family. One Fire Extinguisher D'factor = (Sum of Selected Scores) / 15 15 4.Respiratory Machine Recently a hoarse voice persists. One Sneezing and clear runny nose come with seasonal or environmental changes. One There is a wheezing cough. One I have a bad cough at night. One Some family members have asthma or allergic rhinitis. One Cough with phlegm in the morning lasts more than three months. One Bloody phlegm comes out. One The body has a fever, especially at night. One Respirator D'factor = (Sum of Selected Scores) / 8 8 5. Cardiovascular system My chest is tight and stuffy during exercise. One Pain in the chest is sold and stretched to the neck. One I felt faint when I exercise or walk fast. One I can't breathe and sleep at night. One If your leg is swollen and pressed, you will leave a finger print. One I have been dizzy due to difficulty breathing during exercise. One There is a heart disease in the family. One Cardiovascular D'factor = (Sum of Selected Scores) / 7 7 6. Quarterly meter I am tired and have trouble with my daily life. One Often the face gets hot and the fever rises. One I recently urinate frequently or have thirst. One Hair, nails often break One It's hard to bear the heat lately and my heart is pounding. One It is hard to endure the recent cold. One Endocrine D'factor = (sum of selected scores) / 6 6 7.Madam I have a patient with breast cancer in my family. One Clumps in the breast One Menstruation does not last more than six months. One There is vaginal bleeding and especially after intercourse. One Menstrual pain is severe during menstruation and menstrual period is long. One Cold, severe treatment and a bad smell. One The butt is itchy. One I have urination pain. One Urine is not cool. One Gynecological D'factor = (Sum of Selected Scores) / 9 9 8. urinary system You may have flank pain or pain that spreads to your belly. One Urine comes in red or with soy light. One Urine stem tapered. One I urinate often at night One Frequent urination is not cool. One I have urination pain. One If you're urinating, you can't stand it and urinate right away. One Urinary D'factor = (sum of selected scores) / 7 7 9.Musculoskeletal System Joint pain and swelling One In the morning, the joints are stiff and last more than an hour. One Joint pains appear symmetrically on both sides. One The same joint hurts and swells all the time. One It hurts around the neck and the pain comes down to the shoulders, elbows, and hands. One Hands and feet are numb or weak and paralysis comes. One Musculoskeletal D'factor = (sum of selected scores) / 6 6 10.Others Symptom scales are constantly added and changed in detail.

The disease risk calculator 450 calculates the disease risk using the health score calculated by the health calculator 410 and the symptom score calculated by the calculator 430. Disease risk (R'factor) is a value that estimates the incidence of a disease in consideration of factors affecting health care and current symptoms, and is determined according to Equation 2 below. It is highly probable.

Disease risk (R'factor) = H'factor * D'factor

The therapeutic effect calculator 450 calculates the therapeutic effect using the disease risk calculated by the disease risk calculator 450. The therapeutic effect is the difference between the disease risk R'factor before treatment, the disease risk R1'factor after primary treatment, and the disease risk R2'factor after secondary treatment, divided by R'factor. It is determined by the following equation.

E1'factor = (R'factor-R1'factor) / R'factor

E2'factor = (R'factor-R2'factor) / R'factor

The higher the therapeutic effect, the higher the therapeutic effect on the symptoms, and can be continuously applied depending on the treatment. E'factor is calculated through R'factor because the behavior of treatment should be lowered together with D'factor and H'factor.

The calculation result storage unit 500 may calculate a health level calculated by the health level calculator 410 of the calculator 400, a symptom degree calculated by the symptom degree calculator 430, and a disease risk calculator 450. The degree of risk and the effect of treatment calculated by the effect calculator 470 are stored, respectively.

The display unit 600 is a means for displaying health, symptom, disease risk, and therapeutic effect calculated by the calculator 400, and may include a display unit, a printer, a voice output unit, and the like, which are not shown.

Hereinafter, the operation of the disease estimation and treatment effect management system configured as described above will be described.

3 is a flowchart illustrating a process of estimating a disease by calculating health, symptom, and disease risk before treatment according to an embodiment of the present invention.

As shown in FIG. 3, in step S110, the patient performs an interview through a telephone call with a counselor, or the patient himself or his or her family enters the questionnaire item directly by accessing an Internet site, or the patient himself or herself visits a hospital. A questionnaire table is prepared by directly visiting and performing a questionnaire, and the questionnaire table is transmitted to the data classification unit 200 through the questionnaire input unit 100.

Next, in step S110, the data input through the questionnaire table input unit 100 is given a predetermined code number by the data classification unit 200.

In step S120, the personal information data, the health degree data, and the symptom degree data are classified according to the classified code numbers, and are stored in the personal information database 310, the health level database 330, and the symptom degree database 350, respectively. .

In step S130, the health level calculator 410 calculates the health level using the data stored in the personal information database 310 and the health level database 330 and Equation 1, and the symptom degree calculator 430 is a symptom. The symptom degree is calculated using the data stored in the database 350, and the disease risk calculator 450 calculates the value calculated by the health level calculator 410 and the value calculated by the symptom degree calculator 430. The disease risk is calculated using Equation 2.

In step S140, the specialist may estimate the disease based on the disease risk calculated by the disease risk calculator 450, and accordingly, the prescription is prescribed and treated.

FIG. 4 is a flowchart illustrating a process of estimating a disease and managing a treatment effect by calculating health, symptom, disease risk, and treatment effectiveness after the first treatment according to an embodiment of the present invention.

In FIG. 4, since steps S200, S210, and S220 are the same as steps S100, S110, and S120 shown in FIG. 3, description thereof will be omitted to avoid redundant description, and only steps S230 and S240 will be described.

In the step S230, the process of calculating the health, symptom, and disease risk by the health level calculator 410, symptom degree calculator 430 and disease risk calculator 450 is the same as described in FIG. . In the step S230 is further added to the step of calculating the therapeutic effect by the therapeutic effect calculator 470, the therapeutic effect calculator 470 is a value calculated by the disease risk calculator 450 and Equation 3 Calculate the therapeutic effect using.

In operation S240, the specialist may not only estimate the disease based on the disease risk calculated by the disease risk calculator 450, but also examine the treatment effect calculated by the disease calculator 470. Therefore, based on this, it is possible to give an improved prescription and manage the treatment effect.

Hereinafter, in order to clarify the explanation of the present invention, a questionnaire is prepared and the present invention will be described in more detail with reference to an example of calculating the degree of health, symptoms, disease risk, and therapeutic effect according to the result. .

H'factor = 0.27 D'factor: nervous system D'factor = 0.4, circulatory machine D'factor = 0.7, digestive system D'factor = 0.2 R'factor: nervous system R'factor = 0.108, circulatory machine R'factor = 0.189, digestive system R'factor = 0.054 [health] 73% [symptom] nervous system 40%, circulatory system 70%, digestive system 20% [disease risk] nervous system 10.8%, circulatory system 18.9%, digestion Machine 5.4%

Sung Chun-Hyang's questionnaire result H'factor = 0.77 D'factor: nervous system D'factor = 0.4, circulatory system D'factor = 0.7, digestive system D'factor = 0.2 R'factor: nervous system R'factor = 0.308, circulatory system R'factor = 0.539, Digestive System R'factor = 0.154 [Health] 23% [Severity] Nervous System 40%, Circulatory System 70%, Digestive System 20% [Disease Risk] Nervous System 30.8%, Circulatory System 53.9%, Digestion Machine 15.4%

As can be seen from the above example, Lee Mong-ryong and Seong Chun-hyang have the same symptom but have a high health condition that adversely affects health, so there is a threefold difference in disease risk. In the case of Seongchunhyang, it is necessary to change the living environment and habits and exercise regularly before treating symptoms.

On the other hand, Sung Chun-hyang rewrote the questionnaire after receiving medical treatment for three months, correcting her lifestyle, along with her prescription.

Results of Sung Chun-Hyang's questionnaire [3 months after treatment] H'factor = 0.61 D'factor: nervous system D'factor = 0.3, circulatory system D'factor = 0.62, digestive system D'factor = 0.13 R'factor: nervous system R ' factor = 0.183, circulatory system R'factor = 0.378, digestive system R'factor = 0.094 [health] 39% [symptoms] nervous system 30%, circulatory system 62%, digestive system 13% [disease risk] nervous system 18.3%, Circulatory system 37.8%, digestive system 9.4%

Sung Chun-hyang lowered H'factor 0.16 (0.77-0.61 = 0.16) and D'factor lowered nervous system 0.1, circulatory system 0.08, and digestive system 0.07. As a result, the disease risk has been significantly reduced. The therapeutic effect E'factor was calculated as follows.

Sung Chun-Hyang's E'factor [1 month after first month] R'factor before treatment: nervous system 0.308, circulatory system 0.539, digestive system 0.154 After first treatment R1'factor: nervous system 0.183, circulatory system 0.378, digestive system 0.094 [1st Post-treatment effects E1'factor Nervous system E1'factor = (0.308-0.183) /0.308*100=40.5% Therapeutic effects circulatory system E1'factor = (0.539-0.378) /0.539*100=29.9% Therapeutic effects Digestive system E1'factor = (0.154-0.094) /0.154*100=38.9% therapeutic effect

Those skilled in the art will appreciate that various changes and modifications can be made without departing from the technical spirit of the present invention. Therefore, the technical scope of the present invention should not be limited to the contents described in the detailed description of the specification but should be defined by the claims.

According to the configuration of the present invention described above, through a systematic and objective questionnaire, patients suspected of a disease can quickly and accurately deliver their symptoms and pains to a specialist, thereby improving the health, symptoms, and disease risk of the patient. As a result, it is possible to calculate and continuously maintain the effectiveness of treatment and treatment, so that the specialist can easily predict the disease based on these data and manage the treatment effect, thereby providing accurate medical services. Can be obtained.

Claims (15)

delete delete delete delete A questionnaire table input unit which creates and inputs a questionnaire table in which a predetermined questionnaire item is written; A data classifying unit classifying check items of the questionnaire items created through the questionnaire table input unit according to a predetermined code number; A database for storing data input through the questionnaire table input unit based on codes classified by the data classification unit; A calculator configured to calculate a health level, a symptom level, a disease risk level, and a treatment effect level using data stored in the database; An operation result storage unit for storing a result calculated by the operation unit; The database includes a personal information database, health database, symptom database, The personal information database includes at least information on sex, age, marital relationship, occupation, and address of the patient, and the health level database includes at least basic living habits including eating habits and exercise habits of the patient, and the patient's past history. And family history information, wherein the symptom database includes at least symptoms on the body of the patient, such as the patient's main symptoms, current symptoms, onset and changes in symptoms, The calculating unit includes a health level calculator, a symptom degree calculator, a disease risk calculator, and a treatment effect calculator, The health calculator calculates a total score after allocating a reference score for all items input to the health database, and assigns a health score item lower than the reference score to each item input through the questionnaire table input unit. Calculating the health level by subtracting the sum of the health item item scores from the sum of the reference scores; The symptom calculator calculates a sum of the scores of all items inputted into the symptom score database and calculates a sum thereof, and gives a symptom score lower than the score for each symptom item input through the questionnaire input unit. And subtracting the sum of the symptom item scores from the sum of the reference scores to calculate a symptom degree, The disease risk calculation unit disease estimation and treatment effect management system, characterized in that for calculating the disease risk by multiplying the value calculated by the health level calculator and the value calculated by the symptom calculator. The method of claim 5, wherein The treatment effect calculation unit is a disease estimation and treatment effect management system, characterized in that after subtracting the risk of disease after treatment from the disease risk before receiving treatment, and calculated by dividing the disease risk before receiving treatment. The method of claim 5, wherein The disease estimation and treatment effect management system further comprises a display unit for displaying a result value of the health degree, symptom degree, disease risk degree and treatment effect degree calculated by the calculating unit. The method of claim 7, wherein The display unit may include at least one of a display unit for displaying a result value of the health level, symptom level, disease risk level, and therapeutic effect level calculated by the calculating unit on a screen, a printer for printing on a print medium, and a voice output unit for converting and outputting a voice. Disease estimation and treatment effect management system, characterized in that it comprises one. The method of claim 5, wherein The questionnaire is a disease estimation and treatment effect management system, characterized in that input via one of the Internet, telephone, intranet. delete delete delete Receiving answer check data for a questionnaire item according to a questionnaire table in which a predetermined questionnaire item is described through a questionnaire table input unit; Classifying check item data of a questionnaire item written in the questionnaire table through a data classification unit according to a predetermined code number; Storing check item data input through the questionnaire table in a database for each classified code; Sequentially calculating health, symptom, disease risk, and treatment effect using the data stored in the database through an operation unit; And storing the calculated health level, symptom level, disease risk level, and therapeutic effect level in the calculation result storage unit, The database includes a personal information database, health database, symptom database, The personal information database includes at least information on sex, age, marital relationship, occupation, and address of the patient, and the health level database includes at least basic living habits including eating habits and exercise habits of the patient, and the patient's past history. And family history information, wherein the symptom database includes at least symptoms on the body of the patient, such as the patient's main symptoms, current symptoms, onset and changes in symptoms, The calculating unit includes a health level calculator, a symptom degree calculator, a disease risk calculator, and a treatment effect calculator, The health level calculating step may include: calculating, by the health level calculator, a reference score with respect to all items input to the health level database, and then adding them up; Assigning a health item score lower than the reference score to each health item input to the questionnaire, and subtracting the sum of the item scores from the sum of the reference scores; The symptom calculating step may include obtaining a sum of the symptom calculating unit for all items input to the symptom score database and calculating a sum thereof, and lowering the symptom score for each symptom item entered in the questionnaire table. After assigning an item score, subtracting the sum of the symptom item scores from the sum of the reference scores; In the disease risk calculation step, the disease risk calculation unit calculates the disease risk by multiplying the value calculated in the health level calculating step and the symptom degree calculating step, and calculating a disease risk and treatment effect management method. The method of claim 13, The therapeutic effect calculation step may include subtracting the disease risk after receiving treatment from the disease risk before receiving the treatment, and subtracting the subtracted value to the disease risk before receiving the treatment. Disease estimation and treatment effect management method characterized by calculating the therapeutic effect. The method of claim 14, The method of estimating disease treatment and treatment effect further comprising the step of displaying the values of the calculated health level, symptom level, disease risk level and therapeutic effect level on a display unit.

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