KR102367418B1 - Medical service recommending system based on quantitative analysis - Google Patents

Abstract

The disclosed invention relates to a medical service recommendation system, comprising: a patient information storage unit for storing medical information and personal information by classifying by patient ID; A main server including a patient information storage unit and a hospital and clinic recommendation operation unit for recommending medical services based on the information stored in the hospital information storage unit; Hospital terminal for transmitting hospital information; and a patient terminal that transmits its personal information or ID to the main server, and transmits a request for recommendation of a hospital suitable for a desired operation to the main server, wherein the hospital recommendation operation unit includes the patient's personal information It is characterized in that the information of the recommended hospitals and clinics are transmitted to the patient terminal in the order of the close distance from the address of the patient and the hospitals with high medical service ratings for the surgery desired by the patient.

Description

Medical service recommending system based on quantitative analysis}

The present invention relates to a medical service recommendation system based on quantitative indicators, which provides patients with an opportunity to learn in advance how diagnosis, planning, cost settlement, and counseling in cases similar to themselves are performed based on quantified post-operative data. It is related to a medical service recommendation system that reduces the possibility of conducting unnecessary consultations because there is a high probability that the patient will undergo surgery immediately after on-site confirmation in hospitals and clinics.

In modern life, medical services are an essential part of daily life, and expectations for treatment results are also increasing as the quality of life improves. In particular, because of the irreversible nature of medical actions such as surgery, once it goes wrong, it is almost impossible to restore it to its original state.

However, examination, diagnosis, treatment plan, consultation, operation, and post-operative management conducted in hospitals and clinics are medical specialties and require expertise in progress and understanding. In addition, since the information installed and held in the hospital, which is a specialized place, is managed in a limited space, from the patient's point of view, which hospital is equipped with good facilities and systematic procedures, or which medical personnel have expertise to diagnose, establish a plan, It is not easy to check whether treatment, surgery, and management are good.

Because of this limitation, before visiting a hospital or clinic, a patient conducts a preliminary investigation, such as conducting a self-inspection through the Internet or seeking advice from an acquaintance in the medical field. Alternatively, through information exchange between patients, opinions are exchanged about which hospital and which medical personnel are the best. In particular, recently, by sharing reviews of medical service experiences among patients (including prospective patients), reliability verification is being conducted before visiting a hospital.

Nevertheless, self-investigation, introduction of acquaintances, or sharing of reviews are still subjective or textbook opinions, and information asymmetry cannot be resolved due to incomplete information acquisition.

In addition, no matter how much a medical practitioner introduces a textbook story, it is only the content of the textbook, and there is no guarantee that the medical practitioner actually proceeds as such. In addition, the recommendation of an acquaintance or the sharing of a review may involve subjectivity, and since it is not direct information, it may be distorted or deformed.

Accordingly, patients are increasingly visiting several hospitals for consultation, diagnosis, establishment of treatment plans, and consultations. Multiple exposures may occur.

In addition, from the perspective of hospitals and clinics that have to consult with patients rather than in the case of actual surgery, labor is put in, which causes an increase in medical costs. there is. Patients also incur expenses to visit several hospitals, and unintentional prejudices or experiences may occur.

In particular, based on our own investigation, if the consultation price is determined and the cost is paid and treatment is proceeded, if the expected result is not obtained from the consultation, it is impossible to recover from the irreversible damage, and the time required for reoperation Loss, cost loss, inconvenience, etc. will follow, and the social loss will be greater.

Korean Patent No. 10-1960476 (registered on March 14, 2019)

The present invention reduces the number of consultations, diagnosis, planning, and consultation procedures to a minimum by providing information on the investigation process of patients for hospitals and clinics and medical personnel, including the foreknowledge after surgery, as described above, and furthermore, the examination The purpose of this is to increase the reliability of diagnosis, surgery planning, and counseling, and to obtain the effect of reducing postoperative satisfaction and medical accident rate.

The present invention relates to a medical service recommendation system, comprising: a patient information storage unit for storing medical information and personal information by classifying by patient ID; A main server comprising an information storage unit and a hospital/hospital recommendation calculation unit that recommends medical services based on the information stored in the hospital/hospital information storage unit; Hospital terminal for transmitting information; and a patient terminal that transmits its personal information or ID to the main server, and transmits a request for recommendation of a hospital suitable for a desired operation to the main server, wherein the hospital recommendation operation unit includes the patient's personal information It is characterized in that the information of the recommended hospitals and clinics are transmitted to the patient terminal in the order of the close distance from the address of the patient and the hospitals with high medical service ratings for the surgery desired by the patient.

Here, the medical treatment information may include a diagnosis image, a diagnosis result, an operation plan, cost information, operation information, and post-operation information.

In addition, the personal information may include a name, address, age, gender, medical insurance number, and history.

In addition, the hospital and clinic information may include an address, career, number of surgeries, license number, registration number, and authentication number.

Furthermore, the patient information storage unit stores auxiliary information including surgery waiting time, surgery time, indirect operation information, medical litigation and related information, non-life insurance coverage and related information, reoperation status and related information classified by patient. It may further include an auxiliary information storage unit.

Here, the surgical indirect information may include an applied material, an applied product, an input manpower, and an operation video.

And, the surgery indirect information may include a surgery score transmitted from the patient terminal.

And, the medical service rating calculated by the hospital recommendation calculation unit is the number of surgeries, the rate of concordance between the surgical plan and the surgical result, the trend of the rate of concordance with the surgical plan for each period, the deviation of the operative concordance rate, the postoperative patient's surgery score, the cost of surgery, and the average operating time. , the average waiting time, the number and rate and cost of reoperation, the number and rate and cost of medical litigation, and the number and rate and cost of insurance coverage. It can be calculated by giving a quantitative value in preparation.

In particular, the rating of the medical service may be calculated by targeting an operation corresponding to the operation desired by the patient.

The main server provides the medical treatment information and auxiliary information to the patient terminal and the hospital/clinic terminal.

In one embodiment of the present invention, the patient terminal inputs a desired type of surgery to the hospital recommendation operation unit as a hospital recommendation condition, or a diagnosis image or diagnosis contents in the treatment information for the hospital and clinic recommendation operation unit. You may be asked to recommend a hospital based on your surgical plan.

Accordingly, the hospital recommendation operation unit includes an image comparison module, and the image comparison module compares the examination image of the patient requesting recommendation with the examination images of other patients stored therein, and examines other patients with similarities. A hospital can be recommended based on the medical information on the image.

In addition, the hospital recommendation calculation unit includes a type comparison module, and the type comparison module compares the diagnosis contents or surgery plan of the patient requesting the recommendation with the diagnosis contents or surgery plan of other patients stored therein, and the similarity A hospital may be recommended based on the diagnosis of other patients or treatment information about the surgical plan.

The main server includes a hospital and clinic reservation unit, and the patient terminal requests a reservation for at least one of the recommended hospitals provided by the hospital and clinic recommendation operation unit to the hospital and clinic reservation unit, and the hospital and clinic reservation unit receives the request for reservation. The reservation request is transmitted to the hospital terminal of the hospital.

Here, the hospital and clinic reservation unit, when there is consent of the patient who requested the recommendation, may notify the recommendation fact to the hospital terminal of the recommended hospital provided by the hospital recommendation calculation unit.

In addition, the hospital terminal of the recommended hospital may transmit guide information including a text message or guide mail to the patient's terminal of the patient who requested the recommendation when there is consent from the patient who requested the recommendation.

Based on quantified postoperative data, this recommendation system provides patients with an opportunity to learn in advance how diagnosis, planning, cost settlement, and counseling will proceed in cases similar to their own. Since it is a patient who visited through the service, there is a high probability that the patient will undergo surgery immediately after on-site confirmation, thereby reducing the possibility of conducting unnecessary consultations, which is good for both sides.

In addition, the consultation content can be reduced as the patient can review the consultation content in advance to suit their hospital and medical personnel and to suit the patient's case. It is possible to determine whether or not to proceed with the operation after checking the site by visiting the patient with the minimum number of visits.

In addition, information on materials and products to be applied in the operation is also authenticated through the terminal, so you can check the reliability of the actual operation. can be evaluated, so it is possible to provide quantitative recommendations for other patients as authenticated and reliable information.

In addition, when a patient undergoing surgery undergoes medical litigation, non-life insurance, or reoperation due to various unfavorable causes, this can be reflected in the recommendation system and used as reference data for other patients. Even information has the effect of being provided for the public interest on a solid basis.

1 is a view showing the overall configuration of a medical service recommendation system according to the present invention.
2 and 3 are diagrams illustrating an example of an image in which a three-dimensional surgical plan image and a three-dimensional surgical result image are superimposed.

Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. In adding reference numerals to the components of each drawing, it should be noted that the same components are given the same reference numerals as much as possible even though they are indicated on different drawings. In addition, in describing the embodiment of the present invention, if it is determined that a detailed description of a related known configuration or function interferes with the understanding of the embodiment of the present invention, the detailed description thereof will be omitted.

In addition, in describing the components of the embodiment of the present invention, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only for distinguishing the elements from other elements, and the essence, order, or order of the elements are not limited by the terms. When it is described that a component is "connected", "coupled" or "connected" to another component, the component may be directly connected or connected to the other component, but another component is between each component. It should be understood that may also be interposed and indirectly "connected", "coupled" or "connected".

The present invention relates to a medical service recommendation system 1000 based on a quantitative index, and as described above, in the prior art, the most suitable medical service was found through individual efforts of the patient, but it was difficult to guarantee the objectivity of the information, and it was difficult to guarantee the objectivity of the information. As the number of visits to hospitals increased, it was easy to create an undesirable medical environment for both patients and hospitals.

According to the present invention, a number of patients and hospitals and hospitals upload and share their information on a network where security is maintained so as to reduce the harmful effects such as unreasonable cost, effort, and increase in distrust, and furthermore, based on the provided information, the patient Hospitals and hospitals seek to induce the improvement of medical services in the entire industry through fair competition based on objectively evaluated quality of medical services while allowing them to receive the high-quality medical services they want.

1 is a diagram illustrating the overall configuration of a medical service recommendation system 1000 (hereinafter, referred to as “medical service recommendation system”) based on a quantitative indicator according to the present invention.

Referring to FIG. 1 , the medical service recommendation system 1000 of the present invention includes a main server 100 , a hospital terminal 200 , and a patient terminal 300 . The main server 100, the hospital terminal 200, and the patient terminal 300 are typically connected by wire or wireless through an Internet communication network (however, it is not limited to the Internet network), and as will be described later, the patient's personal personal information However, since medical information is handled, security must be thoroughly maintained, and only authenticated and authorized patients, hospitals, and administrators must be able to access it. The terminal also includes all kinds of computing devices conforming to the communication protocol, such as a desktop, a laptop computer, a tablet, and a smart phone, and the present invention may be implemented as a web-based program. Since the configuration of such a communication network and terminal belongs to well-known and customary technologies, the detailed description thereof will be omitted, but the understanding of the present invention will be free.

As the main server 100 , a general-purpose server that stores and processes various types of information may be used. The main server 100 of the present invention includes a patient information storage unit 110 , a hospital information storage unit 120 , and a hospital recommendation operation unit 130 .

The patient information storage unit 110 classifies by patient ID and stores medical treatment information and personal information. Medical information may include examination images, diagnosis results, surgery plans, cost information, surgery information, and post-operative information, and personal information may include name, address, age, gender, medical insurance number, and history.

The hospital and clinic information storage unit 120 stores hospital and hospital information by classifying by ID of the hospital, and the hospital and clinic information may include an address, career, number of surgeries, license number, registration number, and authentication number.

Here, "hospital and clinic" as used in the specification of the present application does not mean only a group (group) of hospitals and clinics, but is used as a concept including individual medical personnel belonging therein. This is because, since the medical personnel are the direct facilitators of the operation, it may be appropriate to make a more reasonable recommendation by examining individual medical personnel rather than trusting and trusting only hospitals and clinics. Therefore, in the present specification, even if simply referred to as "hospital", it is necessary to interpret it as "hospital and medical personnel".

In addition, the hospital recommendation operation unit 130 serves to recommend medical services based on the information stored in the patient information storage unit 110 and the hospital and clinic information storage unit 120 . Hospital recommendations are described in detail in the relevant paragraph.

The hospital/clinic terminal 200 transmits to the main server 100 medical treatment information, personal information, and hospital/hospital information that the patient agrees to provide information. Then, the patient terminal 300 transmits its own personal information or ID to the main server 100 , and also transmits to the main server 100 a request for recommendation of a hospital suitable for a desired operation.

The hospital terminal 200 and the patient terminal 300 receive an ID for accessing the medical service recommendation system 1000 of the present invention from the main server 100 . Registration can be done in the main server 100 through normal personal authentication, and this authentication and registration process can be made in various forms such as character authentication as well as fingerprint, facial recognition, iris, and QR code.

Here, some of the medical treatment information and personal information about an individual patient may be provided only by a hospital or an individual patient, and some information may be provided by both parties. For example, only hospitals and clinics can provide examination images, diagnosis results confirmed based on examination images, surgery plans established and confirmed based on examination images and diagnosis results, and license numbers, and the patient's name, address, Both medical insurance numbers, etc. can be provided. (Of course, through AI diagnosis and operation plan AI that can be added to the main server, etc., the diagnosis results and the creation of the operation plan can be generated and provided in the main server, and even in this case, the final decision is made by the hospital Since the medical person proceeds through the confirmation procedure, it can be understood that the definitive diagnosis and operation plan are provided by the hospital, however, in the present invention, the diagnosis result and the operation plan are provided to the main server whether directly established and confirmed at the hospital or clinic. Whether it is automatically generated from the examination image, it needs to be understood that all are included.) In order to transmit such patient's personal information to the main server 100 from the hospital side, it is necessary to obtain the consent of the patient in advance.

In addition, the patient's medical treatment information and personal information stored in the main server 100 can be accessed from other certified/authorized hospitals. Accordingly, after a patient has received a diagnosis such as a CT scan at one hospital (hospital included in the network of the present invention), the information can be accessed from other hospitals as well, so there is no need to take another radiograph. You can go straight to the process. Therefore, the cost can be reduced for the patient, and the risk of exposure due to repeated radiographic imaging is extremely reduced.

The hospital recommendation calculation unit 130 gives priority to hospitals and clinics located at a close distance from the address on the patient's personal information, and calculates the results of recommending hospitals and clinics in the order of the highest rating of the medical service for the surgery desired by the patient, This recommendation information is transmitted to the patient terminal 300 .

For example, when a patient desiring dental implant surgery enters the surgical contents (for example, implant implantation for the mandibular left first molar) after receiving the primary diagnosis in a predetermined format and transmits it to the main server 100, The hospital recommendation calculation unit 130 of the main server 100 may calculate a rating for each hospital for implant surgery, and recommend a hospital with a high rating based on an area registered by the patient.

These hospital and clinic recommendations need to be objective recommendations based on quantitative indicators, and in order to introduce these quantitative indicators, various types of information stored in the patient information storage unit 110 and the hospital information storage unit 120 are processed and digitized.

In order to more accurately perform the hospital/hospital recommendation, various auxiliary information may be further used in addition to the patient's medical treatment information, personal information, and hospital/hospital information. In other words, as for medical services, the quality of treatment itself is important, but the waiting time until surgery and the ability to respond in case of problems after surgery are also important to the patient, so it is more desirable to consider them together.

To this end, the patient information storage unit 110 of the main server 100 includes the operation cost classified for each patient, the operation waiting time, the operation time, the indirect operation information, whether the medical suit and related information, whether or not to apply non-life insurance, and related information , may further include an auxiliary information storage unit 112 for storing auxiliary information including reoperation and related information.

Here, the surgical indirect information may include applied materials, applied products, input personnel, and surgical video provided by the hospital through the hospital and clinic terminal 200, and may also include the surgical rating provided by the patient's self-evaluation. (‘Input manpower’ referred to here does not mean the person itself, but more precisely, ‘quantitative and objective information about participation in surgery, certification of the professionalism of the input manpower, career, number of surgery participation, and concordance rate of the participating surgery’. You need to understand that.)

Through these various information, the hospital recommendation calculation unit 130 calculates the number of surgeries, the rate of concordance with the surgical plan compared to the surgical plan, the trend of the rate of concordance with the surgical result against the surgical plan for each period, the deviation of the surgical concordance rate, the postoperative patient's surgical score, the operating cost, the average operating time, A weight is given to each of the multiple factors among the average waiting time, the number and rate and cost of reoperation, the number and rate and cost of medical litigation, and the number and rate and cost of insurance coverage, and the average value in all hospitals and clinics By giving a quantitative value for comparison, it is possible to calculate the medical service rating.

Factors used to calculate the rating for each hospital and hospital have higher advantages and lower ones, and these factors may be treated with different weights in consideration of their importance influencing the quality of medical services.

For example, the higher the number of surgeries and the rate of concordance with the surgical plan versus the higher the score, the more positive the score. can be given Conversely, the average operation time and waiting time, the number, rate, and cost of reoperations are examples of factors that lead to better grades as the number of reoperations is lower.

These various factors are quantified and reflected in the rating, and the rating of the medical service can be calculated by giving a quantitative numerical value proportional to the average value in all hospitals and clinics. For example, if the average number of surgeries is 60, if the number of surgeries in a hospital is 100, a quantitative value of 1.667 (=100/60) can be given.

In addition, the concordance rate of the surgical result compared to the surgical plan can also be quantitatively calculated.

Taking the case of dental implant surgery as an example, a surgery plan can be made directly on the patient's oral CT image, and this data is stored in the main server 100 as a surgical plan. In addition, when a CT image is taken again after dental implant surgery, the fixture of the implant appears. When these two CT images are superimposed, the rate of agreement between the surgical plan and the surgical result is derived from imaging.

2 and 3 show an image of a 3D surgical plan image (solid color line) and a 3D surgical result image (white shade) of dental implant surgery superimposed. In contrast, FIG. 3 shows a case in which the actual surgical result is noticeably different from the surgical plan. As such, by comparing the three-dimensional surgical plan image and the three-dimensional surgical result image, the surgical agreement rate can be calculated as a quantitative value.

Here, the surgical agreement rate can be subdivided into numerical values and evaluated not only as a result of the overall agreement rate but also the specific difference for each item. For example, it can be evaluated by analyzing in detail how much the implant depth and angle differ from the plan, and how wide the distance between adjacent implants is. (In addition, this surgical agreement rate evaluation method can be applied not only to dental implants but also to orthodontic treatment, and in other fields, imaging before and after surgery, such as plastic surgery through implantation of implants such as nose and forehead, or knee arthroplasty, etc. It can be applied to all fields that can be comparatively evaluated.)

Various factors including the surgical result coincidence rate compared to the surgery plan are all automatically calculated by the hospital and clinic recommendation calculation unit 130 using data stored in the main server 100 as medical information, personal information, and hospital and clinic information, and evaluation of each factor The indices are summed up as a final score, which is derived from the ranking of medical services in each hospital and clinic.

In particular, the medical service rating is calculated for the operation corresponding to the operation desired by the patient, so that the patient may be recommended the most suitable hospital for the operation of the patient's interest, and the main server 100 includes the patient terminal 300 and By providing medical treatment information and auxiliary information to the hospital/clinic terminal 200, it is possible to prevent overtreatment, obtain an opportunity for self-improvement by identifying the hospital and clinic's own ranking, and induce sharing of various information about surgery. Of course, it will be necessary to ensure that the patient's personal information is not directly provided to other patients beyond the limit used for hospital recommendation.

And, in one embodiment of the present invention, the patient terminal 300 directly inputs the type of surgery desired by the patient as a hospital/hospital recommendation condition into the hospital/hospital recommendation calculation unit 130 , or provides medical treatment information to the hospital/hospital recommendation calculation unit 130 . You may be asked to recommend a hospital or clinic based on the medical examination images, the contents of the diagnosis or the surgical plan.

Here, direct input of the type of surgery desired by the patient as a character to the hospital recommendation operation unit 130 may use inaccurate terminology, so a selection process of several steps such as large classification / medium classification / small classification (eg, drop down menu), it may be desirable to gradually input a specific type of surgery.

In addition, requesting the hospital and clinic recommendation calculation unit 130 to recommend a hospital based on a diagnosis image in the treatment information, or a diagnosis or operation plan, means that the patient uses the patient's medical information instead of entering the type of surgery on his/her own. It is to enable the hospital recommendation calculation unit 130 to automatically determine. Using the examination image is a method of identifying the most suitable type of surgery through image analysis of the affected area, and the method of understanding based on the diagnosis or operation plan is as if examining the similarity of a thesis statement and/or It is to judge the necessary surgery based on the word concordance.

To this end, the hospital recommendation calculation unit 130 includes an image comparison module 132, and the image comparison module 132 compares the examination image of the patient requesting the recommendation to the patient information storage unit 110 of the main server 100. After comparing the stored examination images of other patients, and identifying the type of surgery based on the treatment information on the examination images of other patients with similar imaging characteristics, it is possible to recommend a hospital or clinic. For example, when a patient designates an intraoral CT image as a corresponding examination image, the image comparison module 132 extracts an image related to dental treatment from among the stored examination images of other patients, and then determines which tooth image it is, and further By comparing the degree of similarity in the shape of the affected area, the most suitable type of surgery can be determined. Machine learning or deep learning techniques, which have recently been spotlighted, may be applied to such image contrast. In addition, when the diagnosis image is stored in the main server 100, the image comparison module 132 can establish a diagnosis and surgery plan for the stored diagnosis image using artificial intelligence, and compare it with existing information to recommend diagnosis, It is also possible to provide a recommendation for a surgical plan and a recommendation for a hospital at the same time.

In addition, the hospital recommendation operation unit 130 may include a type comparison module 134 for determining the type of surgery required based on the diagnosis or the operation plan. Since information such as medical subject, disease name, lesion, operation name, etc. are expressed in text in the diagnosis content or operation plan, the type comparison module 134 provides the patient information storage unit 110 for the diagnosis content or operation plan of the patient requesting a recommendation. ), it is possible to linguistically compare the diagnosis contents or operation plans of other patients, and recommend a hospital based on the diagnosis contents of other patients with similarities or treatment information about the operation plan.

In addition, the present invention may further include a hospital reservation unit 140 in the main server (100). The hospital reservation unit 140 provides convenience to both the patient and the hospital by automatically making a reservation for treatment without making a phone call or visiting a hospital.

The patient terminal 300 requests a reservation for the hospital reservation unit 140 by targeting at least one or more of the recommended hospitals provided by the hospital and clinic recommendation operation unit 130, and accordingly, the hospital and clinic reservation unit 140 requests a reservation. By transmitting a reservation request to the hospital terminal 200 of the received hospital and clinic, this fact is informed.

Furthermore, when there is consent of the patient who requested the recommendation, the hospital reservation unit 140 may notify the recommendation fact to the hospital terminal 200 of the recommended hospital provided by the hospital recommendation calculation unit 130 . That is, even if it does not proceed to the reservation stage, it provides an opportunity to contact the patient by notifying that a potential customer who may receive treatment at his/her own hospital has used the hospital recommendation operation unit 130 . Of course, since the fact of requesting a recommendation corresponds to personal information, it will be necessary to obtain the patient's consent in advance.

In addition, the hospital terminal 200 of the recommended hospital may automatically transmit guide information including a text message or guide mail to the patient terminal 300 of the patient who requested the recommendation when there is consent of the patient who requested the recommendation. there is. The guidance information may include hyperlinks that allow the patient to conveniently access additional information about the hospital or the operation. A patient who has received such information about hospitals and clinics will be provided with more opportunities to select a hospital that is suitable for them, and this will be beneficial to both the patient and the hospital.

The above description is merely illustrative of the technical spirit of the present invention, and various modifications and variations will be possible without departing from the essential characteristics of the present invention by those skilled in the art to which the present invention pertains. Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments.

1000: medical service recommendation system
100: main server
110: patient information storage unit
112: auxiliary information storage unit
120: hospital information storage unit
130: hospital recommendation calculation unit
132: image comparison module
134: type comparison module
140: hospital reservation department
200: hospital terminal
300: patient terminal

Claims (16)

A patient information storage unit for storing treatment information and personal information by classifying by patient ID, a hospital information storage unit for storing hospital/clinic information by classifying by ID of a hospital, and information stored in the patient information storage unit and the hospital/clinic information storage unit a main server including a hospital recommendation calculation unit for recommending medical services based on ;
a hospital terminal for transmitting medical information, personal information, and hospital/clinic information that the patient agrees to provide to the main server; and
A patient terminal that transmits his/her personal information or ID to the main server, and transmits a request for recommendation of a hospital suitable for a desired surgery to the main server;
The hospital and clinic recommendation calculation unit transmits, to the patient terminal, information on the recommended hospitals and clinics in the order of the close distance from the address on the patient's personal information and the hospitals with high medical service ratings for the surgery desired by the patient,
The medical information includes a diagnosis image, diagnosis result, surgery plan, cost information, surgery information, and post-operative information,
The patient terminal, as a hospital recommendation condition, inputs a desired type of surgery to the hospital and clinic recommendation operation unit, or recommends a hospital to the hospital and clinic recommendation operation unit based on a diagnosis image in the treatment information, or diagnosis or operation plan. asking you to do
The hospital recommendation operation unit includes an image comparison module, wherein the image comparison module compares the medical examination images of the patient requesting recommendation with the medical examination images of other patients stored therein, and compares the examination images of other patients with similarity. A medical service recommendation system, characterized in that it recommends hospitals and clinics based on medical information. delete The method according to claim 1,
The personal information is a medical service recommendation system, characterized in that it includes a name, address, age, gender, medical insurance number, history. The method according to claim 1,
The hospital and clinic information is a medical service recommendation system, characterized in that it includes an address, career, number of surgeries, license number, registration number, and authentication number. The method according to claim 1,
The patient information storage unit is an auxiliary information for storing auxiliary information including operation waiting time, operation time, indirect operation information, medical litigation and related information, non-life insurance coverage and related information, reoperation status and related information classified by patient Medical service recommendation system, characterized in that it further comprises an information storage unit. 6. The method of claim 5,
The surgical indirect information is a medical service recommendation system, characterized in that it includes an applied material, an applied product, an input manpower, and a surgical video. 7. The method of claim 6,
The surgical indirect information is a medical service recommendation system, characterized in that it includes a surgery score transmitted from the patient terminal. 8. The method of claim 7,
The medical service score calculated by the hospital recommendation calculation unit is the number of surgeries, the rate of concordance with the surgical plan, the trend of the rate of concordance with the surgical plan for each period, the deviation of the rate of congruence, the postoperative patient's surgical score, the cost of the operation, the average operating time, and the average Weight is given to each of the multiple factors of waiting time, number and rate and cost of reoperation, number and rate and cost of medical litigation, and number and rate and cost of insurance coverage, and compared to the average of all hospitals and clinics A medical service recommendation system, characterized in that it is calculated by giving a quantitative value to the 9. The method of claim 8,
The medical service recommendation system, characterized in that the score of the medical service is calculated by targeting an operation corresponding to the operation desired by the patient. 9. The method of claim 8,
The main server is a medical service recommendation system, characterized in that for providing the treatment information and auxiliary information to the patient terminal and hospital terminal. delete delete The method according to claim 1,
The hospital recommendation calculation unit includes a type comparison module, and the type comparison module compares the diagnosis contents or surgery plan of the patient requesting recommendation with the diagnosis contents or surgery plan of other patients stored therein, A medical service recommendation system, characterized in that it recommends a hospital or clinic based on the patient's diagnosis details or treatment information about the operation plan. The method according to claim 1,
The main server includes a hospital and clinic reservation unit, and the patient terminal requests a reservation from the hospital and clinic reservation unit for at least one or more of the recommended hospitals provided by the hospital and clinic recommendation operation unit, and the hospital and clinic reservation unit is the hospital for which the reservation is requested. Medical service recommendation system, characterized in that transmitting the reservation request to the hospital terminal. 15. The method of claim 14,
The hospital and clinic reservation unit, when there is consent of the patient who requested the recommendation, the medical service recommendation system, characterized in that the recommendation to the hospital terminal of the recommended hospital provided by the hospital and clinic recommendation calculation unit. 16. The method of claim 15,
Medical service recommendation, characterized in that the hospital terminal of the recommended hospital transmits guide information including a text message or guide mail to the patient terminal of the patient who requested the recommendation when there is consent of the patient who requested the recommendation system.

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