WO2021107688A2 - Système de recommandation de service médical basé sur un indice quantitatif - Google Patents

Système de recommandation de service médical basé sur un indice quantitatif Download PDF

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Publication number
WO2021107688A2
WO2021107688A2 PCT/KR2020/017095 KR2020017095W WO2021107688A2 WO 2021107688 A2 WO2021107688 A2 WO 2021107688A2 KR 2020017095 W KR2020017095 W KR 2020017095W WO 2021107688 A2 WO2021107688 A2 WO 2021107688A2
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hospital
information
patient
medical
recommendation
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PCT/KR2020/017095
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English (en)
Korean (ko)
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WO2021107688A3 (fr
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이태경
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이태경
임종환
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G16H70/20—ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Definitions

  • 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 can reduce unnecessary consultations as the probability of patients undergoing surgery immediately after on-site confirmation is increased in hospitals and clinics.
  • a patient 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 staff is 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.
  • the present invention reduces the number of consultations, diagnosis, planning, and consultation procedures to a minimum by providing information on the patient's investigation process for hospitals and medical personnel as described above, including the foreknowledge after surgery, 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 hospital information storage unit for storing hospital and clinic information by classifying by ID of a hospital; A main server including 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; and medical information and personal information for which the patient agrees to provide information to the main server, and the hospital/clinic 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 and clinics with high medical service ratings for the desired surgery.
  • the medical treatment information may include a diagnosis image, a diagnosis result, an operation plan, cost information, surgery information, and post-operative information.
  • the personal information may include a name, address, age, gender, medical insurance number, and history.
  • hospital and clinic information may include an address, career, number of surgeries, license number, registration number, and authentication number.
  • 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.
  • the surgical indirect information may include an applied material, an applied product, an input manpower, and an operation video.
  • the surgery indirect information may include a surgery score transmitted from the patient terminal.
  • the medical service score 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 between the surgical plan and the period of the surgery, the deviation of the rate of congruence, 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.
  • the rating of the medical service may be calculated for 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 terminal.
  • 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 medical treatment information for the hospital and clinic recommendation operation unit. You may be asked to recommend a hospital based on your surgical plan.
  • the hospital recommendation calculation unit includes an image comparison module, and the image comparison module compares the examination images 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.
  • 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 is found.
  • 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
  • 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
  • the hospital and clinic reservation unit receives the request for the reservation. Transmits the reservation request to the hospital terminal of the hospital clinic.
  • 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.
  • the hospital terminal of the recommended hospital may transmit guide information including a guide text 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.
  • this recommendation system 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 unnecessary consultation, which is good for both sides.
  • the contents of consultation can be reduced because the patient can review the contents of the consultation in advance according to their hospital and medical personnel and according to the case of the patient, and the patient does not need to obtain a large amount of unnecessary information and concentrates on cases similar to mine. It is possible to determine whether or not to proceed with the operation after checking the site with the minimum number of visits.
  • information on materials and products to be applied in the operation is also authenticated through the terminal, so the reliability of the actual operation can be checked, and the service quality is quantitative, including not only the coincidence rate of the actual operation, but also the required time, waiting time, and surgical procedure. can be evaluated, so it is possible to provide quantitative recommendations for other patients as authenticated and reliable information.
  • FIG. 1 is a diagram showing the overall configuration of a medical service recommendation system according to the present invention.
  • FIGS. 2 and 3 are diagrams showing an example of an image in which a three-dimensional surgical plan image and a three-dimensional surgical result image are superimposed.
  • main server 110 patient information storage unit
  • auxiliary information storage unit 120 hospital information storage unit
  • type comparison module 140 hospital reservation department
  • the present invention relates to a medical service recommendation system 1000 based on quantitative indicators, 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.
  • a number of patients and hospitals and clinics 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.
  • FIG. 1 is a diagram illustrating the overall configuration of a medical service recommendation system 1000 (hereinafter, referred to as a “medical service recommendation system”) based on a quantitative indicator according to the present invention.
  • 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 usually 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
  • the terminal also includes all kinds of computing devices conforming to the corresponding 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, a detailed description thereof will be omitted, but the understanding of the present invention will be free.
  • 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
  • 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 operations, license number, registration number, and authentication number.
  • hospital and clinic 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 medical personnel are directly the facilitator of the operation, so rather than trusting and trusting only hospitals and clinics, it may be appropriate to make a more reasonable recommendation by examining individual medical personnel. Therefore, in the present specification, even if simply referred to as “hospital”, it is necessary to interpret it as "hospital and medical personnel".
  • 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 and clinic terminal 200 transmits to the main server 100 the medical treatment information, personal information, and hospital information that the patient agrees to provide information.
  • the patient terminal 300 transmits its own personal information or ID to the main server 100 , and also transmits a request for recommendation of a hospital suitable for a desired operation to the main server 100 .
  • 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, QR code, and the like.
  • some of the medical treatment information and personal information about an individual patient may be provided only by a hospital or individual patient, and some information may be provided by both parties.
  • 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.
  • AI diagnosis and operation plan AI that can be added to the main server, the diagnosis result and the operation plan can be generated and provided in the main server, and even in this case, the final confirmation is made by the medical personnel of the hospital or clinic. As it proceeds through this confirmation procedure, it can be understood that a definitive diagnosis and operation plan are provided by the hospital.
  • both the diagnosis result and the surgical plan are included, whether directly established and confirmed at a hospital or clinic, or automatically generated from the diagnosis image provided to the main server.
  • the diagnosis result and the surgical plan are included, whether directly established and confirmed at a hospital or clinic, or automatically generated from the diagnosis image provided to the main server.
  • the main server 100 In order to transmit the patient's personal information to the main server 100 from the hospital side, it is necessary to obtain the patient's consent in advance.
  • 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 perform radiography again. 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 in a short 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 ratings of medical services for the surgery desired by the patient, This recommendation information is transmitted to the patient terminal 300 .
  • 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 the region registered by the patient.
  • auxiliary information may be further used in addition to the patient's treatment information, personal information, and hospital/hospital information.
  • 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.
  • the patient information storage unit 110 of the main server 100 includes the operation cost, operation waiting time, operation time, indirect operation information, medical litigation and related information, non-life insurance coverage and related information classified by patient. , it may further include an auxiliary information storage unit 112 for storing auxiliary information including whether the reoperation and related information.
  • the surgical indirect information may include the applied material, the applied product, the input manpower, and the operation 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' does not mean the person itself, but more precisely, 'quantitative and objective information about participation in surgery, certification of the professionalism of the inputted manpower, career, number of surgical participation, and the coincidence rate of the participating surgery'. It needs to be understood that
  • 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 concordance rate of the surgical result against the surgical plan for each period, the deviation of the surgical concordance rate, the postoperative patient's surgery score, the surgery 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 is given a weight. 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 can be treated with different weights in consideration of their importance influencing the quality of medical services.
  • the concordance rate of the surgical result compared to the surgical plan can be quantitatively calculated.
  • 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. Also, 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.
  • FIG. 2 and 3 show images of a three-dimensional surgical plan image (solid color line) and a three-dimensional surgical result image (white shaded) of dental implant surgery superimposed.
  • FIG. 2 is a case in which the surgical result is quite good compared to the surgical plan.
  • FIG. 3 shows a case in which the actual surgical result is noticeably different from the surgical plan.
  • the surgical agreement rate can be calculated as a quantitative value.
  • 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.
  • 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 the data stored in the main server 100 as medical information, personal information, and hospital information, and evaluation of each factor
  • the indices are summed up as the final score, which is derived from the ranking of medical services in each hospital and clinic.
  • the rating of the medical service is calculated for the operation corresponding to the operation desired by the patient, and the patient may be recommended the most suitable hospital for the operation of the patient's interest, and the main server 100 is the patient terminal 300 and
  • the hospital/clinic terminal 200 By providing medical treatment information and auxiliary information to the hospital/clinic terminal 200, it is possible to prevent over-treatment, obtain an opportunity for self-improvement by identifying the hospital and clinic's own ranking, and induce sharing of various information about surgery.
  • the patient terminal 300 directly inputs the type of surgery desired by the patient as a hospital recommendation condition into the hospital recommendation operation unit 130 , or provides medical treatment information to the hospital and clinic recommendation operation 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.
  • 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 (for example, drop-down menu), it may be desirable to gradually input a specific type of surgery.
  • requesting the hospital and clinic recommendation calculation unit 130 to recommend a hospital based on the examination image in the treatment information, or the diagnosis or operation plan means that the patient uses the patient's treatment information instead of inputting the type of surgery on his/her own. It is to enable the hospital recommendation calculation unit 130 to automatically determine.
  • the use of examination images is a method of identifying the most appropriate type of surgery through image analysis of the affected area, and the method of understanding based on 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.
  • the hospital recommendation operation 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.
  • a hospital can be recommended after comparing the stored examination images of other patients, identifying the type of surgery based on the treatment information on the examination images of other patients with similar imaging characteristics. 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 The most suitable type of surgery can be determined by comparing the degree of similarity of the affected part.
  • 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.
  • 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 characters 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.
  • the present invention may further include a hospital reservation unit 140 in the main server (100).
  • the hospital and clinic 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 and clinic 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.
  • the hospital and clinic reservation unit 140 requests a reservation.
  • the hospital reservation unit 140 may notify the recommendation fact to the hospital terminal 200 of the recommended hospital provided by the hospital recommendation operation 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 .
  • this recommendation request is personal information, it will be necessary to obtain the patient's consent in advance.
  • the hospital terminal 200 of the recommended hospital may automatically transmit guide information including a guide text 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.
  • 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 from hospitals and clinics will be provided with more opportunities to select a hospital that is suitable for them, which will be beneficial to both the patient and the hospital.
  • the present invention can be usefully used to objectively search for and recommend a medical service required by a user.

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Abstract

La présente invention concerne un système de recommandation de service médical caractérisé en ce qu'il comprend : une unité de stockage d'informations de patients qui stocke des informations cliniques et des informations personnelles par classification de celles-ci en fonction de l'identifiant (ID) de chaque patient ; une unité de stockage d'informations d'hôpital/clinique qui stocke des informations d'hôpital/clinique par classification de celles-ci en fonction de l'ID de chaque hôpital/clinique ; un serveur principal qui comprend une unité de calcul de recommandation d'hôpital/clinique qui recommande des services médicaux sur la base des informations stockées dans l'unité de stockage d'informations de patient et dans l'unité de stockage d'informations d'hôpital/clinique ; un terminal d'hôpital/clinique qui transmet, au serveur principal, les informations d'hôpital/clinique et les informations cliniques et les informations personnelles que le patient a accepté de fournir ; et un terminal de patient qui transmet les propres informations personnelles du patient ou l'ID de celui-ci au serveur principal, et transmet, au serveur principal, une demande de recommandation d'hôpitaux/cliniques convenant à une opération souhaitée par le patient, l'unité de calcul de recommandation d'hôpital/clinique transmettant des informations concernant les hôpitaux/cliniques recommandés au terminal du patient dans un ordre croissant de distance à partir de l'adresse figurant dans les informations personnelles du patient, et dans un ordre décroissant de note de service médical pour l'opération souhaitée par le patient.
PCT/KR2020/017095 2019-11-28 2020-11-27 Système de recommandation de service médical basé sur un indice quantitatif WO2021107688A2 (fr)

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KR101960476B1 (ko) 2017-04-28 2019-03-20 주식회사 코어라인소프트 치과용 임플란트 플래닝 시스템 및 방법
KR102141244B1 (ko) * 2018-03-13 2020-09-14 박종현 사용자 맞춤형 병원 예약 추천 방법 및 장치

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CN116887233B (zh) * 2023-07-13 2024-04-30 北京领创医谷科技发展有限责任公司 一种患者就近医疗方法、系统、终端及存储介质
CN116796870A (zh) * 2023-08-18 2023-09-22 山东唐和智能科技有限公司 智慧社区管理服务系统
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CN117316404A (zh) * 2023-09-11 2023-12-29 北京合源汇丰医药科技有限公司 一种基于ai算法的医疗信息异常检测方法及系统

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