WO2018129912A1

WO2018129912A1 - Medical informationization-based system and method for assisting doctor in diagnosis and treatment

Info

Publication number: WO2018129912A1
Application number: PCT/CN2017/096123
Authority: WO
Inventors: 张贯京; 葛新科; 高伟明; 王海荣; 张少鹏
Original assignee: 深圳市前海安测信息技术有限公司
Priority date: 2017-01-13
Filing date: 2017-08-05
Publication date: 2018-07-19
Also published as: CN106897546A

Abstract

A medical informationization-based system and method for assisting a doctor in diagnosis and treatment. The system (10) comprises: an information receiving module (101), a matching module (102), a determining module (103), a statistical analysis module (104), an auxiliary diagnosis and treatment module (105), and a sending module (106). The method comprises: when it is determined by a determining module (S104) that a patient comes for a follow-up visit, obtaining a diagnosis and treatment template corresponding to the disease from a diagnosis and treatment template server according to the disease (S105); and when history electronic medical records of the patient is not obtained, obtaining electronic medical records of patients diagnosed and treated by an attending doctor of the patient from an electronic medical record server, performing statistical analysis to obtain a curve of correlations between various diseases diagnosed by the attending doctor and the statistical analysis parameters, and obtaining a possible disease list of the patient according to the statistical analysis parameters of the patient and the curve of correlations (S106). The system and method can improve the diagnosis and treatment efficiency of a doctor.

Description

Title of Invention: Medical Information Aided Doctor Diagnosis and Treatment System and Method

[0001] The present invention relates to the field of medical information technology, and in particular, to a medical information aiding doctor diagnosis and treatment system and method.

Background technique

[0002] After a doctor visits a hospital, he needs to complete the consultation, the diagnosis, the medical record, the prescription, the checklist, and the patient's question. In the environment of shortage of medical resources, each doctor is certain. More patients need to be consulted in the daytime. Therefore, these kinds of work often need to be completed in a few minutes, the doctor's work pressure is extremely high, and the doctor's work efficiency is high.

[0003] Therefore, there is a need for a medical information-assisted physician diagnosis and treatment system and method that can improve the efficiency of a doctor's consultation.

technical problem

[0004] It is an object of the present invention to provide a medical information-assisted physician diagnosis and treatment system and method for improving the efficiency of medical consultation. Problem solution

Technical solution

[0005] In order to achieve the above object, the present invention provides a medical information aiding doctor diagnosis and treatment system, which is operated in a cloud server, and the cloud server is connected to a registration server, an electronic medical record server, a medical treatment template server, and a plurality of communication terminal devices. The medical information aiding doctor diagnosis and treatment system includes:

[0006] an information receiving module, configured to receive the patient information from the communication terminal device, and obtain the attending doctor information and statistical analysis parameters of the visiting patient from the registration server;

[0007] a matching module, configured to match the received patient information with the electronic medical record in the electronic medical record server;

[0008] a judging module, configured to determine whether a historical electronic medical record of the patient is obtained, and if a historical electronic medical record of the patient is obtained, determining whether the patient is a follow-up according to a medical order in the historical electronic medical record; [0009] statistical analysis Module, used to obtain a history of electronic medical records from patients who are not seen, from an electronic medical record server Obtaining an electronic medical record of a patient who has been treated by the attending doctor of the patient, and statistically analyzing a correlation curve between various diseases diagnosed by the attending doctor of the patient and statistical analysis parameters;

[0010] an auxiliary medical treatment module, configured to: when the visiting patient is a referral, obtain a medical treatment template corresponding to the returning disease from the medical template server according to the returning disease;

[0011] the auxiliary diagnosis and treatment module is further configured to: when the historical electronic medical record of the patient is not obtained, according to the statistical analysis parameter of the patient and the various diseases and statistical analysis parameters diagnosed by the attending doctor Correlation curve, obtaining a list of possible diseases of the patient; and

[0012] The sending module is configured to send the medical treatment template corresponding to the review disease to the communication terminal device, and send the list of possible diseases of the visiting patient to the communication terminal device.

[0013] wherein, the statistical analysis module is further configured to: when the visiting patient is not a referral, obtain an electronic medical record of the patient who has been treated by the attending doctor of the visiting patient from the electronic medical record server, and statistically analyze and obtain the attending doctor of the visiting patient. Correlation curve between various diagnosed diseases and statistical analysis parameters;

[0014] the auxiliary diagnosis and treatment module is further configured to: when the visiting patient is not a follow-up, according to the statistical analysis parameter of the patient and the correlation curve between the various diseases diagnosed by the attending doctor and the statistical analysis parameter , obtaining a list of possible diseases for the patient;

[0015] The statistical analysis parameters include: the number of confirmed diseases, the time of the visit, the age of the patient, the origin of the patient, the gender of the patient, and/or the occupation of the patient.

[0016] The auxiliary medical treatment module is further configured to obtain a medical treatment template corresponding to each disease in the list of possible diseases from the medical template server according to the possible disease list;

[0017] The sending module is further configured to send the medical treatment template corresponding to each disease in the possible disease list to the communication terminal device.

[0018] wherein the medical information aiding doctor diagnosis and treatment system further comprises:

[0019] a determining module, configured to receive, from the communication terminal device, the disease information of the medical patient finally determined by the doctor and the medical template selected by the doctor after the information is selected and improved.

[0020] wherein the medical treatment template includes a medical record template and a medical order template, and the contents of the medical order template include prescription information, treatment information, and/or detection information.

[0021] In order to achieve the above object, the present invention further provides a medical information assisting doctor diagnosis and treatment method, which is applied to a cloud server, the cloud server and a registration server, an electronic medical record server, and a medical treatment template server. And a plurality of communication terminal device connections, wherein the medical information assisting doctor diagnosis and treatment method comprises the following steps

[0022] receiving the patient information from the communication terminal device, and obtaining the information of the attending doctor and the statistical analysis parameter of the patient from the registration server;

[0023] matching the received patient information with the electronic medical record in the electronic medical record server;

[0024] determining whether a historical electronic medical record of the patient is obtained, and obtaining a historical electronic medical record of the patient

According to the doctor's advice in the historical electronic medical record, it is judged whether the patient is a follow-up visit;

[0025] when the visiting patient is a referral, obtaining a diagnosis and treatment template corresponding to the returning disease from the medical template server according to the returning disease;

[0026] When the historical electronic medical record of the visiting patient is not obtained, the electronic medical record of the patient who has been treated by the attending doctor of the visiting patient is obtained from the electronic medical record server, and the various diseases and statistics diagnosed by the attending doctor of the visiting patient are statistically analyzed. A correlation curve between the parameters is analyzed; and a correlation curve between the statistical analysis parameters of the patient and the various diseases diagnosed by the attending doctor and the statistical analysis parameters is obtained, and a list of possible diseases of the patient is obtained;

[0027] transmitting the diagnosis and treatment template corresponding to the review disease to the communication terminal device;

[0028] Sending a list of possible diseases of the visiting patient to the communication terminal device.

[0029] wherein the medical information aiding doctor diagnosis and treatment method further comprises the following steps:

[0030] obtaining a diagnosis template corresponding to each disease in the list of possible diseases from the medical template server according to the list of possible diseases;

[0031] Sending a medical treatment template corresponding to each disease in the possible disease list to the communication terminal device.

[0032] wherein the medical information aiding doctor diagnosis and treatment method further comprises the following steps:

[0033] When the visiting patient is not a referral, the electronic medical record of the patient who has been treated by the attending doctor of the visiting patient is obtained from the electronic medical record server, and the various diseases and statistical analysis parameters diagnosed by the attending doctor of the visiting patient are statistically analyzed. Correlation curve between the patients; according to the statistical analysis parameters of the patient and the correlation curve between the various diseases diagnosed by the attending doctor and the statistical analysis parameters, obtaining a list of possible diseases of the patient;

[0034] The statistical analysis parameters include: the number of confirmed diseases, the time of the visit, the age of the patient, the origin of the patient, the gender of the patient, and/or the occupation of the patient. [0035] wherein the medical information aiding doctor diagnosis and treatment method further comprises the following steps:

[0036] receiving, from the communication terminal device, the disease information of the medical patient finally determined by the doctor and the medical treatment template selected and improved by the doctor.

[0037] wherein the medical treatment template includes a medical record template and a medical order template, and the contents of the medical order template include prescription information, treatment information, and/or detection information.

Advantageous effects of the invention

Beneficial effect

[0038] The medical information assisting doctor diagnosis and treatment system and method of the present invention can obtain the historical electronic medical record of the visiting patient from the electronic medical record server according to the visiting patient information, and further determine whether the visiting patient is a follow-up according to the medical order in the historical electronic medical record. When obtaining the historical electronic medical record of the visiting patient and judging that the visiting patient is a returning medical examination, obtaining a medical treatment template corresponding to the returning disease from the medical treatment template server according to the returning disease; when the historical electronic medical record of the visiting patient is not obtained or obtaining the history of the visiting patient The electronic medical record is judged that the patient is not a referral, and a list of possible diseases of the patient is obtained according to the statistical analysis parameter of the patient and the correlation curve between the various diseases diagnosed by the attending doctor and the statistical analysis parameters. According to the medical information aiding doctor diagnosis and treatment system and method of the present invention, the doctor can have a preliminary judgment on whether the patient is a referral before starting the consultation, and obtain a diagnosis and treatment template corresponding to the returning disease, thereby improving the doctor's diagnosis and treatment. effectivenessBrief description of the drawing

DRAWINGS

1 is a schematic diagram showing an application environment of a medical information assisting doctor diagnosis and treatment system in a first preferred embodiment of the present invention.

2 is a schematic flow chart of a medical information assisting doctor diagnosis and treatment method in a second preferred embodiment of the present invention;

BEST MODE FOR CARRYING OUT THE INVENTION

The present invention will be further described in detail with reference to the preferred embodiments thereof. The following examples are illustrative of the invention, and the invention is not limited to the following examples. The present invention proposes a first preferred embodiment. As shown in FIG. 1, the medical information assisting doctor diagnosis and treatment system 10 runs in the cloud server 1. The cloud server 1 is connected to the registration server 2, the electronic medical record server 3, the medical template server 4, and the plurality of communication terminal devices 5 through the communication network 6 (three in FIG. 1 are taken as an example for description)

) Establish a communication connection.

[0043] The cloud server 1 may be a cloud platform, a server in the cloud platform, or a common server. The data transmission capability and the data storage capability of the cloud server 1 may be better processed and/or Assisting the auxiliary medical treatment request of the communication terminal device 5 facilitates the operation of a plurality of doctors using different communication terminal devices 5.

[0044] The registration server 2 is used for registering a patient and storing the registration information of the patient. The registration information of the visiting patient includes but is not limited to: patient name, patient's age, ID number, social security card number (or medical card number), patient's place of origin, patient gender, patient occupation, visit time, visiting department, attending doctor, etc. .

[0045] The electronic medical record server 3 is used to store an electronic medical record. The electronic medical record includes the original record of the patient in the whole process of diagnosis and treatment in the hospital, for example: patient name, patient year, ID number, social security card number (or medical card number), patient origin, patient gender, patient occupation, visit time, Visiting department, attending doctor, history record, inspection result, medical order, surgical record, nursing record, etc.

[0046] The medical template server 4 is used to store a medical template for various diseases. The medical treatment template includes a medical record template and a medical order template, and the contents of the medical order template include prescription information, treatment information, and detection information.

[0047] The communication terminal device 5 is configured for the doctor to determine the visiting patient, view the list of possible diseases of the patient and the medical treatment template corresponding to each disease in the list of possible diseases, select the medical template, and improve the information in the medical template. The communication terminal device 5 may be, but not limited to, a smart phone, a tablet computer, a personal digital assistant (PDA), a personal computer, an electronic signboard, and the like.

[0048] The communication network 6 may be a wired communication network or a wireless communication network. In a first preferred embodiment, the communication network 6 between the communication terminal device 5 and the cloud server 1 is preferably a wireless communication network, including but not limited to, a GSM network, a GPRS network, a CDMA network, a WCDMA network, and a TD-SCDMA. Wireless transmission networks such as networks, WiMAX networks, TD-LTE networks, FDD-LTE networks. The communication network 6 between the cloud server 1 and the registration server 2, the electronic medical record server 3, and the medical template server 4 is preferably Wired communication networks, including but not limited to, metal wire networks, fiber optic networks.

[0049] In the first preferred embodiment, the cloud server 1 includes, but is not limited to, a medical information aiding doctor's medical treatment system 10, a communication unit 11, a storage unit 12, and a processing unit 13.

[0050] The communication unit 11 is a communication interface with a remote communication function, for example, a communication interface supporting wireless communication technologies such as GSM, GPRS, CDMA, WCDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE, etc. Support wired communication interface of USB, network cable and fiber. In the first example, the communication terminal device 5 performs information interaction with the cloud server 1 through the communication unit 11; the cloud server 1 communicates with the registration server 2, the electronic medical record server 3, and the medical template server 4 through the communication unit 11 respectively. Perform information interaction.

[0051] The storage unit 12 may be a read only storage unit ROM, an electrically erasable storage unit EEPROM, a flash storage unit FLASH or a solid hard disk.

[0052] The processing unit 13 may be a central processing unit (CPU), a microcontroller (MCU), a data processing chip, or an information processing unit having a data processing function.

As shown in FIG. 1 , the medical information assisting doctor diagnosis and treatment system 10 includes: an information receiving module 101, a matching module 102, a determining module 103, a statistical analysis module 104, an auxiliary medical treatment module 105, a sending module 106, and a determining module. 107. The module referred to in the present invention refers to a series of computer program instruction segments that can be executed by the processing unit 13 of the cloud server 1 and that can perform fixed functions, which are stored in the storage unit 12 of the cloud server 1.

[0054] The information receiving module 101 is configured to receive the patient information from the communication terminal device 5, and obtain the attending doctor information and the statistical analysis parameter of the visiting patient from the registration server 2 according to the patient information.

[0055] The patient information for the visit includes, but is not limited to, a patient name, a patient social security card number (or a patient visit card number), an attending doctor, a visiting department, and/or a visiting serial number. The statistical analysis parameters include, but are not limited to, the number of confirmed diseases, the time of the visit, the age of the patient, the origin of the patient, the gender of the patient, and the occupation of the patient.

[0056] In order to improve the system processing efficiency, the information receiving module 101 can use a unique identification code generated by the physical address (for example, a MAC address) of the communication terminal device 5 to identify the communication terminal device 5 used by the doctor; The identification code can be attached to the result of the module processing of the present invention, thereby functioning to distinguish the different patient information received by the information receiving module 101 and to distinguish a series of results based on the patient information. [0057] The medical information assisting doctor diagnosis and treatment system 10 of the present invention can simultaneously process from a plurality of communication terminal devices

5 Received patient information, high efficiency.

[0058] The matching module 102 is configured to match the received medical patient information with the electronic medical record in the electronic medical record server 3.

[0059] In the first preferred embodiment, the matching module 102 mainly traverses all the electronic medical records of the patient name, the patient social security card number and/or the patient medical card number in the electronic medical record server 3, if the visiting patient once After attending the hospital and saving the electronic medical record, the historical electronic medical record of the patient is obtained.

[0060] The determining module 103 is configured to determine whether a historical electronic medical record of the visiting patient is obtained. If the historical electronic medical record of the visiting patient is obtained, the medical patient in the historical electronic medical record is used to determine whether the visiting patient is a follow-up.

[0061] The determining module 103 determines whether the visiting patient is a follow-up visit according to the following rules:

[0062] First, it is determined whether the doctor's prescription in the historical electronic medical record of the patient's last visit has a return request (for example: review or discomfort after n days); if not, it is determined not to return to the clinic; if yes, continue to judge Whether A is less than or equal to a+b; if yes, it is judged to be a follow-up, otherwise it is determined that it is not a follow-up.

[0063] The n is a natural number.

[0064] The A is the difference in the number of days between the date of the visit of the patient and the date of the visit recorded in the historical electronic medical record of the most recent visit. For example: The date of visit for this patient is December 20, 2016. The date of the medical history recorded by the patient's last visit is December 10, 2016, then A is 10.

[0065] The a is the number of days in the review request recorded in the historical electronic medical record of the patient's last visit.

If the referral request is reviewed after n days, then &=!1 _; if the referral request is uncomfortable, then a=m, the m is a natural number, which can be recorded according to the historical electronic medical record of the patient’s last visit. The type of disease is different, and specific settings are made according to the disease onset and treatment characteristics. For example, the disease recorded in the historical electronic medical record of the patient's last visit is a cold, and the m can be set to 14; the disease recorded in the historical electronic medical record of the patient's last visit is hand, foot and mouth disease, and the m can be set to 7.

[0066] The b is a positive integer, such as 7. Because the patient may not be able to follow the doctor's advice, it may delay the return visit. Therefore, on the basis of the re-diagnosis that is required in the medical order, it is necessary to increase the time. Therefore, the review judgment of the present invention is more suitable for the actual situation, which can ensure a certain accuracy rate and avoid missed judgment.

[0067] The statistical analysis module 104 is configured to: when the historical electronic medical record of the visiting patient is not obtained, or the visiting patient is not a returning medical examination, obtain the medical doctor of the visiting patient from the electronic medical record server 3 according to the attending doctor information of the visiting patient The electronic medical record of the patient who has been diagnosed and treated, and the correlation curve between the various diseases diagnosed by the attending doctor of the visiting patient and the statistical analysis parameters are obtained according to the electronic medical record statistical analysis of the patient who has been treated by the attending doctor.

[0068] In the first preferred embodiment, the statistical analysis module 104 obtains the statistical analysis of the electronic medical record of the patient diagnosed by the attending doctor of the visiting patient obtained from the electronic medical record server 3, and the attending doctor of the visiting patient can be obtained. Correlation curve between various diagnosed diseases and statistical analysis parameters.

[0069] The correlation curve includes, but is not limited to, a correlation curve between various diseases diagnosed by the visiting patient's visiting department and the number of confirmed diseases, the time of the visit, the age of the patient, the origin of the patient, and the gender of the patient.

[0070] a correlation curve between the various diseases diagnosed by the attending doctor of the patient and the number of diagnosed diseases; the correlation curve reflects the various diseases that have been diagnosed by the attending doctor of the patient and the corresponding number of diagnoses The relationship between the curves.

[0071] a correlation curve between various diseases diagnosed by the attending doctor of the patient and the time of the visit; when the visit is divided into seasons, months, or any clear inter-segment, the correlation is The curve reflects the relationship between the number of confirmed diagnoses of various diseases diagnosed by the attending physician and the different definite segments.

[0072] a correlation curve between various diseases diagnosed by the attending doctor of the patient and the patient's annual sputum; after obtaining the correlation curve, the patient's annual sputum is generally divided into an annual squatting period; In an alternative embodiment of the invention, the patient can also be aged as a child (by age 0-6), adolescent (7-17 years old), youth (18-40 years old), middle age (41-65 years old), old age (65 After the age of the year). The correlation curve reflects the relationship between the number of diagnosed diseases of the doctor who has been diagnosed by the attending patient and the different years of the corresponding patient's visit.

[0073] a correlation curve between various diseases diagnosed by the attending doctor of the patient and the patient's birthplace; the correlation curve reflects the number of diagnosed diseases of the various diagnosed doctors of the visiting patient and the corresponding patient The relationship between the birthplaces. According to the relationship curve, the origin of thalassemia patients is There are more in Guangdong, Guangxi or Sichuan, and there are fewer provinces and regions in the south of the Yangtze River. It is rare in all provinces in the north. The majority of patients with nasopharyngeal carcinoma are from Guangdong, Fujian, Hunan and Jiangxi.

[0074] a correlation curve between various diseases diagnosed by the attending doctor of the patient and the gender of the patient; the correlation curve reflects the number of diagnosed diseases of the various diseases diagnosed by the attending doctor of the patient and the corresponding patient The relationship between the genders. From this relationship curve, it can be known that most breast cancer patients are female.

[0075] a correlation curve between various diseases diagnosed by the attending doctor of the patient and the occupation of the patient; the correlation curve reflects the number of diagnosed diseases of the various diseases diagnosed by the attending doctor of the patient and the corresponding patient The relationship between the occupations. Through this relationship curve, it can be known that the occupation of cadmium poisoning is more than that of electroplating workers; among the patients with pneumoconiosis, there are more occupations for roads, railways or water conservancy construction workers, mining and mining workers, and occupations of urban white-collar workers are extremely rare.

[0076] the auxiliary medical treatment module 105 is configured to: when the visiting patient is a referral, obtain a medical template corresponding to the returning disease from the medical template server according to the returning disease; when the historical electronic medical record of the visiting patient is not obtained or the visiting patient Not a follow-up, according to the statistical analysis parameters of the patient and the correlation curve between the various diseases diagnosed by the attending doctor and the statistical analysis parameters, obtain a list of possible diseases of the patient; and according to the list of possible diseases The medical template server obtains a medical template corresponding to each disease in the possible disease list.

[0077] The sending module 106 is configured to send the medical treatment template corresponding to the review disease to the communication terminal device 5, and send the medical disease template corresponding to each disease in the list of possible diseases of the visiting patient to the communication terminal device. 5.

[0078] The determining module 107 is configured to receive, from the communication terminal device 5, the disease information of the medical patient finally determined by the doctor and the medical treatment template selected and improved by the doctor.

[0079] In the first preferred embodiment, when the matching module 102 completes the matching work, and judges by the determining module 103, the historical electronic medical record of the visiting patient is obtained and is a review, the auxiliary medical treatment module 105 according to the The medical examination template corresponding to the returning disease is obtained from the medical treatment template server; and then the transmitting module 106 sends the medical treatment template corresponding to the medical examination to the communication terminal device 5. When the matching module 102 completes the matching work, and the judgment module 103 determines that the historical electronic medical record of the visiting patient is not obtained or the visiting patient is not a referral, the auxiliary medical treatment module 105 according to the statistical analysis parameter of the visiting patient and the A correlation curve between various diseases diagnosed by the attending doctor of the patient and statistical analysis parameters, obtaining a list of possible diseases of the patient to be treated; and obtaining a medical treatment template corresponding to each disease in the list of possible diseases from the medical template server according to the list of possible diseases The sending module 106 then transmits the medical template corresponding to each disease in the possible disease list and the possible disease list to the communication terminal device 5.

[0080] Therefore, when the doctor determines the visiting patient in the communication terminal device 5, before the patient is started to visit the clinic, for example, during the call, the patient can be informed whether the visit is or is a follow-up visit, and the corresponding corresponding disease is obtained. The medical treatment template, or the list of possible diseases of the patient and the medical treatment template corresponding to each disease in the list of possible diseases, so that the diagnosis and diagnosis can be more targeted, and according to the symptoms and diagnosis results of the patient, in the medical template The medical record template and the medical order template are selected, and the information is improved, so that the diagnosis and treatment of the patient is quickly completed, and the doctor's consultation efficiency is improved.

[0081]

In another aspect of the invention, the present invention also provides a method corresponding to the above-described medical information aiding physician medical treatment system. As shown in FIG. 2, a medical information assisting doctor diagnosis and treatment method is applied to the cloud server 1, the cloud server 1 and the registration server 2, the electronic medical record server 3, the medical template server 4, and the plurality of communication terminal devices 5, and A plurality of communication terminal devices 5 are connected. The medical information aiding doctor's diagnosis and treatment method comprises the following steps:

[0083] Step S101: Receive the patient information from the communication terminal device 5, and obtain the attending doctor information and the statistical analysis parameter of the visiting patient from the registration server 2 according to the patient information.

Specifically, the information receiving module 101 receives the visiting patient information from the communication terminal device 5, and acquires the attending doctor information and the statistical analysis parameter of the visiting patient from the registration server 2 according to the visiting patient information.

[0085] The patient information for the visit includes, but is not limited to, a patient name, a patient social security card number (or a patient visit card number), an attending doctor, a visiting department, and/or a visiting serial number. The statistical analysis parameters include, but are not limited to, the number of confirmed diseases, the time of the visit, the age of the patient, the origin of the patient, the gender of the patient, and the occupation of the patient.

[0086] In order to improve the processing efficiency, the information receiving module 101 can identify a communication terminal device 5 used by the doctor according to a unique identification code generated by the physical address (for example, a MAC address) of the communication terminal device 5; The identification code can be attached to the result of the module processing of the present invention, thereby functioning to distinguish the different patient information received by the information receiving module 101 and to distinguish a series of results based on the patient information. [0087] The medical information assisting doctor diagnosis and treatment method of the present invention can simultaneously process the patient information received from the plurality of communication terminal devices 5, and is highly efficient.

[0088] Step S102: Match the received medical patient information with the electronic medical record in the electronic medical record server 3.

[0089] Specifically, the matching module 102 matches the received medical patient information with the electronic medical record in the electronic medical record server 3.

[0090] In the second preferred embodiment, the matching module 102 mainly traverses all the electronic medical records of the patient name, the patient social security card number and/or the patient medical card number in the electronic medical record server 3, if the visiting patient once After attending the hospital and saving the electronic medical record, the historical electronic medical record of the patient is obtained.

[0091] Step S103: Determine whether a historical electronic medical record of the visiting patient is obtained.

Specifically, the determining module 103 determines whether the historical electronic medical record of the visiting patient is obtained. If the determining module 103 determines that the historical electronic medical record of the visiting patient is obtained, step S104 is performed; if the determining module 103 determines that the medical record is not obtained The historical electronic medical record of the patient is visited, and step S106 is performed.

[0093] Step S104: Determine whether the patient being visited is a follow-up visit.

[0094] Specifically, the determining module 103 determines, according to the medical order in the historical electronic medical record, whether the patient is a referral; if the patient is a referral, step S105 is performed; if the patient is not a referral, step S is performed. 106.

[0095] The determining module 103 determines whether the visiting patient is a follow-up visit according to the following rules:

[0096] First, it is determined whether the doctor's prescription in the historical electronic medical record of the patient's last visit has a referral request (for example: review or discomfort after n days); if not, it is determined not to return to the clinic; if yes, continue to judge Whether A is less than or equal to a+b; if yes, it is judged to be a follow-up, otherwise it is determined that it is not a follow-up.

[0097] The n is a natural number.

[0098] The A is the difference in the number of days between the date of the visit of the patient and the date of the visit recorded in the historical electronic medical record of the most recent visit. For example: The date of visit for this patient is December 20, 2016. The date of the medical history recorded by the patient's last visit is December 10, 2016, then A is 10.

[0099] The a is the number of days in the review request recorded in the historical electronic medical record of the patient's last visit. If the referral request is reviewed after n days, then &=!1 _; if the referral request is uncomfortable, then a=m, the m is a natural number, which can be recorded according to the historical electronic medical record of the patient’s last visit. The type of disease is different, and specific settings are made according to the disease onset and treatment characteristics. For example, the disease recorded in the historical electronic medical record of the patient's last visit is a cold, and the m can be set to 14; the disease recorded in the historical electronic medical record of the patient's last visit is hand, foot and mouth disease, and the m can be set to 7.

[0100] The b is a positive integer, such as 7. Because the patient may not be able to follow the doctor's advice, it may delay the return visit. Therefore, it is necessary to increase the certain time on the basis of the referral time required in the medical order, so that the review judgment of the present invention is more suitable for the actual situation, which can ensure a certain accuracy rate and avoid missed judgment.

[0101] Step S105, obtaining a diagnosis and treatment template corresponding to the review disease from the diagnosis and treatment template server according to the review disease, and transmitting the diagnosis and treatment template corresponding to the review disease to the communication terminal device 5;

[0102] Step S106, obtaining an electronic medical record of the patient diagnosed by the attending doctor of the visiting patient from the electronic medical record server 3, and then obtaining the attending doctor of the visiting patient according to the electronic medical record statistical analysis of the patient diagnosed by the treating doctor of the visiting patient. Correlation curve between various diagnosed diseases and statistical analysis parameters; according to the statistical analysis parameters of the patient and the correlation curve between the various diseases diagnosed by the attending doctor and the statistical analysis parameters, A list of possible diseases of the patient, and obtaining a medical template corresponding to each disease in the list of possible diseases from the medical template server according to the list of possible diseases; sending a list of possible diseases of the visiting patient and a medical template corresponding to each disease in the list of possible diseases to the communication Terminal device 5.

[0103] Specifically, when the determining module 103 determines that the historical electronic medical record of the visiting patient is obtained and is a referral, the auxiliary medical treatment module 105 obtains the medical treatment template corresponding to the returning disease from the medical template server according to the reviewing disease, and then The sending module 106 sends the medical treatment template corresponding to the review disease to the communication terminal device 5. When the judging module 103 determines that the historical electronic medical record of the visiting patient is not obtained or the visiting patient is not a re-examination, the statistical analysis module 104 obtains the attending doctor of the visiting patient from the electronic medical record server 3 according to the attending doctor information of the visiting patient. The electronic medical record of the patient who has been treated, and then the correlation curve between the various diseases diagnosed by the attending doctor and the statistical analysis parameters is obtained according to the electronic medical record statistical analysis of the patient treated by the attending doctor of the visiting patient; The auxiliary medical treatment module 105 is based on the statistical analysis parameters of the patient and the various diseases diagnosed by the attending doctor of the patient. Correlation curve between disease and statistical analysis parameters, obtain a list of possible diseases of the patient, and obtain a medical template corresponding to each disease in the list of possible diseases from the medical template server according to the list of possible diseases

Then, the sending module 106 sends the diagnosis template corresponding to the review disease to the communication terminal device 5.

[0104] In the embodiment, the statistical analysis module 104 determines, by the statistical analysis module 104, the electronic medical record of the patient diagnosed by the attending doctor of the medical patient obtained from the electronic medical record server 3, and obtains the diagnosis of the treating doctor of the visiting patient. Correlation curve between various diseases and statistical analysis parameters.

[0105] The correlation curve includes, but is not limited to, a correlation curve between various diseases diagnosed by the visiting patient's visiting department and the number of confirmed diseases, the time of the visit, the age of the patient, the origin of the patient, and the gender of the patient.

[0106] a correlation curve between various diseases diagnosed by the attending doctor of the patient and the number of diagnosed diseases; the correlation curve reflects the various diseases that have been diagnosed by the attending doctor of the patient and the corresponding number of diagnoses The relationship between the curves.

[0107] a correlation curve between various diseases diagnosed by the attending doctor of the patient and the time of the visit; when the visit is divided into seasons, months, or any clear inter-segment, the correlation is The curve reflects the relationship between the number of confirmed diagnoses of various diseases diagnosed by the attending physician and the different definite segments.

[0108] a correlation curve between various diseases diagnosed by the attending doctor of the patient and the patient's annual sputum; after obtaining the correlation curve, the patient's annual sputum is generally divided into 10 years as a year; In an alternative embodiment of the invention, the patient can also be aged as a child (by age 0-6), adolescent (7-17 years old), youth (18-40 years old), middle age (41-65 years old), old age (65 After the age of the year). The correlation curve reflects the relationship between the number of diagnosed diseases of the doctor who has been diagnosed by the attending patient and the different years of the corresponding patient's visit.

[0109] a correlation curve between the various diseases diagnosed by the attending doctor of the patient and the patient's birthplace; the correlation curve reflects the number of diagnosed diseases of the various diagnosed doctors of the visiting patient and the corresponding patients The relationship between the birthplaces. Through this relationship curve, it can be known that the population of thalassemia patients is more in Guangdong, Guangxi or Sichuan, less in the provinces south of the Yangtze River, and more rare in the northern provinces; the origin of patients with nasopharyngeal carcinoma is Guangdong, Fujian, Hunan More in Jiangxi.

[0110] a correlation curve between various diseases diagnosed by the attending doctor of the patient and the gender of the patient; the correlation curve reflects the number of diagnosed diseases of the various diseases diagnosed by the attending doctor of the patient and corresponding The relationship between the gender of the patient. From this relationship curve, it can be known that most breast cancer patients are female.

[0111] a correlation curve between various diseases diagnosed by the attending doctor of the patient and the occupation of the patient; the correlation curve reflects the number of diagnosed diseases of the various diseases diagnosed by the attending doctor of the patient and the corresponding patient The relationship between the occupations. Through this relationship curve, it can be known that the occupation of cadmium poisoning is more than that of electroplating workers; among the patients with pneumoconiosis, there are more occupations for roads, railways or water conservancy construction workers, mining and mining workers, and occupations of urban white-collar workers are extremely rare.

[0112] Step S107: Receive, from the communication terminal device 5, the disease information of the patient who is finally determined by the doctor and the diagnosis and treatment template selected and improved by the doctor.

[0113] Specifically, the determining module 107 receives, from the communication terminal device 5, the disease information of the medical patient finally determined by the doctor and the medical treatment template selected and improved by the doctor.

[0114] In the second preferred embodiment, when the matching module 102 completes the matching work, and judges by the determining module 103, the historical electronic medical record of the visiting patient is obtained and is a review, the auxiliary medical treatment module 105 according to the The medical examination template corresponding to the returning disease is obtained from the medical treatment template server; and then the transmitting module 106 sends the medical treatment template corresponding to the medical examination to the communication terminal device 5. When the matching module 102 completes the matching work, and judges by the determining module 103 that the historical electronic medical record of the visiting patient is not obtained or the historical electronic medical record of the visiting patient is obtained but is not a review, the auxiliary medical treatment module 105 is based on the patient's medical record. Statistical analysis parameters and a correlation curve between various diseases diagnosed by the attending doctor and statistical analysis parameters, obtaining a list of possible diseases of the patient; and obtaining a list of possible diseases from the medical template server according to the list of possible diseases The medical treatment template corresponding to the disease; and then the sending module 106 sends the medical treatment template corresponding to each disease in the possible disease list and the possible disease list to the communication terminal device 5.

[0115] Therefore, when the doctor determines the patient to be treated at the communication terminal device 5, before the patient visits the clinic, for example, during the call, the patient can be informed whether the visit is or is a follow-up visit, and the corresponding corresponding disease is obtained. The medical treatment template, or the list of possible diseases of the patient and the medical treatment template corresponding to each disease in the list of possible diseases, so that the diagnosis and diagnosis can be more targeted, and according to the symptoms and diagnosis results of the patient, in the medical template The medical record template and the medical order template are selected, and the information is improved, so that the diagnosis and treatment of the patient is quickly completed, and the doctor's consultation efficiency is improved. The above are only the preferred embodiments of the present invention, and are not intended to limit the scope of the present invention, and the equivalent structure or equivalent process transformations made by the description of the present invention and the contents of the drawings may be directly or indirectly applied to other related The technical field is equally included in the scope of patent protection of the present invention.

Industrial applicability

[0118] The medical information assisting doctor diagnosis and treatment system and method of the present invention can obtain the historical electronic medical record of the visiting patient from the electronic medical record server according to the visiting patient information, and further determine whether the visiting patient is a follow-up according to the medical order in the historical electronic medical record. When obtaining the historical electronic medical record of the visiting patient and judging that the visiting patient is a returning medical examination, obtaining a medical treatment template corresponding to the returning disease from the medical treatment template server according to the returning disease; when the historical electronic medical record of the visiting patient is not obtained or obtaining the history of the visiting patient The electronic medical record is judged that the patient is not a referral, and a list of possible diseases of the patient is obtained according to the statistical analysis parameter of the patient and the correlation curve between the various diseases diagnosed by the attending doctor and the statistical analysis parameters. According to the medical information aiding doctor diagnosis and treatment system and method of the present invention, the doctor can have a preliminary judgment on whether the patient is a referral before starting the consultation, and obtain a diagnosis and treatment template corresponding to the returning disease, thereby improving the doctor's diagnosis and treatment. effectiveness

Claims

Claim

[Claim 1] A medical information aiding doctor diagnosis and treatment system, which is operated in a cloud server, and is characterized in that

The cloud server is connected to the registration server, the electronic medical record server, the medical treatment template server, and the plurality of communication terminal devices, and the medical informationization auxiliary doctor diagnosis and treatment system includes: an information receiving module, configured to receive the patient information from the communication terminal device, Obtaining the attending doctor information and statistical analysis parameters of the visiting patient from the registration server; the matching module is configured to match the received patient information with the electronic medical record in the electronic medical record server; and the determining module is configured to determine whether the patient is obtained Historical electronic medical record, if the historical electronic medical record of the patient is obtained, judge whether the patient is a follow-up according to the doctor's advice in the historical electronic medical record; statistical analysis module, for the historical electronic medical record of the patient not obtained, from the electronic Obtaining an electronic medical record of a patient who has been treated by the attending doctor of the patient in the medical record server, and statistically analyzing a correlation curve between various diseases diagnosed by the attending doctor of the patient and statistical analysis parameters; When the visiting patient is a referral, the medical treatment template corresponding to the returning disease is obtained from the medical template server according to the returning disease; the auxiliary medical treatment module is further configured to: when the historical electronic medical record of the visiting patient is not obtained, according to the medical patient of the visiting patient A statistical analysis parameter and a correlation curve between the various diseases diagnosed by the attending doctor and the statistical analysis parameters, obtaining a list of possible diseases of the patient; and a sending module, configured to send the diagnosis template corresponding to the review disease To the communication terminal device, the list of possible diseases of the visiting patient is sent to the communication terminal device.

[Claim 2] The medical information aiding doctor diagnosis and treatment system according to claim 1, wherein the statistical analysis module is further configured to: when the visiting patient is not a referral, obtain the patient from the electronic medical record server The electronic medical record of the patient treated by the attending doctor, statistically analyzing the correlation curve between the various diseases diagnosed by the attending doctor of the patient and the statistical analysis parameters; the auxiliary medical treatment module is also used when the visiting patient is not After the diagnosis, according to the statistical analysis parameters of the patient and the correlation curve between the various diseases diagnosed by the attending doctor and the statistical analysis parameters, the list of possible diseases of the patient is obtained; the statistical analysis parameters include: The number of confirmed cases, the time of the visit, the age of the patient , patient origin, patient gender, and/or patient occupation.

[Claim 3] The medical information aiding doctor diagnosis and treatment system according to claim 1, wherein the auxiliary medical treatment module is further configured to obtain, according to a possible disease list, a disease corresponding to each disease in the list of possible diseases from the medical template server. The medical treatment template is further configured to send the medical treatment template corresponding to each disease in the possible disease list to the communication terminal device.

[Claim 4] The medical information aiding doctor diagnosis and treatment system according to claim 1, wherein the medical information aiding doctor diagnosis and treatment system further comprises: a determining module, configured to receive, from the communication terminal device, the doctor finalized The disease information of the patient and the diagnosis and treatment template selected by the doctor after the information is selected and improved.

[Claim 5] The medical information assisting doctor diagnosis and treatment system according to claim 1, wherein the medical treatment template includes a medical record template and a medical order template, and the contents of the medical order template include prescription information, disposal information, and/or Detection information.

[Claim 6] A medical information aiding doctor diagnosis and treatment method, which is applied to a cloud server, and is characterized in that

The cloud server is connected to the registration server, the electronic medical record server, the medical template server, and the plurality of communication terminal devices, and the medical informationization auxiliary doctor diagnosis and treatment method comprises the following steps: receiving the patient information from the communication terminal device, and obtaining the information from the registration server The attending doctor information and statistical analysis parameters of the patient; matching the received patient information with the electronic medical record in the electronic medical record server; determining whether the historical electronic medical record of the visiting patient is obtained, and obtaining the historical electronic medical record of the visiting patient According to the doctor's advice in the historical electronic medical record, it is judged whether the patient is a follow-up visit; when the patient is a referral, the diagnosis template corresponding to the review disease is obtained from the diagnosis template server according to the review disease; when the historical electronic medical record of the patient is not obtained吋, obtaining an electronic medical record of the patient diagnosed by the attending doctor of the medical patient from the electronic medical record server, and statistically analyzing a correlation curve between various diseases diagnosed by the attending doctor of the visiting patient and statistical analysis parameters; Obtaining a list of possible diseases of the patient according to the statistical analysis parameter of the patient and the correlation curve between the various diseases diagnosed by the attending doctor and the statistical analysis parameter; sending the diagnosis template corresponding to the review disease to The communication terminal device sends the list of possible diseases of the patient to the communication terminal device.

[Claim 7] The medical information assisting doctor diagnosis and treatment method according to claim 6, wherein the medical information aiding doctor diagnosis and treatment method further comprises the following steps: when the visiting patient is not a referral, from the electronic medical record server Obtaining an electronic medical record of a patient who has been treated by the attending doctor of the patient, and statistically analyzing a correlation curve between various diseases diagnosed by the attending doctor of the patient and statistical analysis parameters; according to the statistical analysis parameters of the patient A correlation curve between various diseases diagnosed by the attending doctor of the patient and statistical analysis parameters, and obtaining a list of possible diseases of the patient; the statistical analysis parameters include: number of diagnosed diseases, time of visit, time of patient, patient Birthplace, patient gender and/or patient occupation.

[Claim 8] The medical informationization assistant doctor diagnosis and treatment method according to claim 7, wherein the medical informationization assistant doctor diagnosis and treatment method further comprises the following steps: obtaining a list of possible diseases from the medical template server according to the possible disease list The medical treatment template corresponding to each disease in the disease; the medical treatment template corresponding to each disease in the possible disease list is sent to the communication terminal device.

[Claim 9] The medical information assisting doctor diagnosis and treatment method according to claim 7, wherein the medical information assisting doctor diagnosis and treatment method further comprises the steps of: receiving, from the communication terminal device, the patient patient finally determined by the doctor Information about the disease and the diagnosis and treatment template selected by the doctor after the information is selected and improved.

[Claim 10] The medical information aiding doctor diagnosis and treatment method according to claim 6, wherein the medical treatment template includes a medical record template and a medical order template, and the contents of the medical order template include prescription information, treatment information, and/or Detection information.