WO2018129913A1 - 医生诊疗辅助系统和方法 - Google Patents

医生诊疗辅助系统和方法 Download PDF

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Publication number
WO2018129913A1
WO2018129913A1 PCT/CN2017/096124 CN2017096124W WO2018129913A1 WO 2018129913 A1 WO2018129913 A1 WO 2018129913A1 CN 2017096124 W CN2017096124 W CN 2017096124W WO 2018129913 A1 WO2018129913 A1 WO 2018129913A1
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Prior art keywords
patient
medical
visiting
doctor
treatment
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PCT/CN2017/096124
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English (en)
French (fr)
Inventor
张贯京
葛新科
高伟明
王海荣
张少鹏
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深圳市前海安测信息技术有限公司
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Publication of WO2018129913A1 publication Critical patent/WO2018129913A1/zh

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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
    • G16H40/60—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 operation of medical equipment or devices
    • G16H40/67—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 operation of medical equipment or devices for remote operation
    • G06F19/3418—
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance

Definitions

  • the present invention relates to the field of medical information technology, and in particular, to a doctor diagnosis and treatment assistant system and method.
  • the present invention provides a doctor diagnosis and treatment assistant system, which is operated in a cloud server, and the cloud server is connected to a registration server, an electronic medical record server, and a plurality of communication terminal devices, and the doctor diagnosis and treatment assistant system Includes:
  • an information receiving module configured to receive the patient information from the communication terminal device, and obtain the visiting department of the visiting patient from the registration server;
  • a statistical analysis module configured to obtain an electronic medical record generated by the visiting patient's visiting department from the electronic medical record server, and statistically analyze and obtain a correlation curve between various diseases diagnosed by the visiting patient's visiting department and statistical analysis parameters.
  • 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;
  • an auxiliary diagnosis and treatment module configured to obtain a list of possible diseases of the patient according to a statistical analysis parameter of the patient and a correlation curve between various diseases diagnosed by the visiting patient's visiting department and statistical analysis parameters; and [0009] a sending module, configured to send the list of possible diseases of the visiting patient to the communication terminal device.
  • the cloud server is further connected to the medical template server
  • the auxiliary medical treatment module is further configured to obtain a medical treatment template corresponding to each disease in the possible disease list from the medical template server according to the possible disease list;
  • the sending module is further configured to send a medical treatment template corresponding to each disease in the possible disease list to the communication terminal device.
  • doctor diagnosis and treatment assistance system further comprises:
  • 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 after the doctor selects and perfects the information.
  • the correlation curve includes a correlation curve between various diseases diagnosed by the visiting patient's visiting department, the number of diseases confirmed, the time of the visit, the age of the patient, the origin of the patient, and the gender of the patient.
  • the medical treatment template includes a medical record template and a medical order template
  • the contents of the medical order template include prescription information, treatment information, and/or detection information.
  • the present invention also provides a doctor diagnosis and treatment assistant method, which is applied to a cloud server.
  • the cloud server is connected to a registration server, an electronic medical record server, and a plurality of communication terminal devices, and the doctor diagnosis and treatment assistance method includes the following steps:
  • the statistical analysis parameter Includes: number of confirmed cases, time of visit, age of patient, place of origin of patient, gender of patient, and/or patient occupation;
  • doctor diagnosis and treatment assistance method further comprises the following steps:
  • doctor diagnosis and treatment assistance method further comprises the following steps:
  • the correlation curve includes a correlation curve between various diseases diagnosed by the visiting patient's visiting department, the number of diseases confirmed, the time of the visit, the age of the patient, the origin of the patient, and the gender of the patient.
  • the medical treatment template includes a medical record template and a medical order template
  • the contents of the medical order template include prescription information, treatment information, and/or detection information.
  • the doctor's diagnosis and treatment assistance system and method of the present invention can obtain the diagnosis according to the correlation curve between the visiting department and the statistical analysis parameters of the visiting patient and the various diseases and statistical analysis parameters diagnosed by the visiting patient's visiting department. List of possible diseases of patients; Based on the doctor's diagnosis and treatment system and method of the present invention, the doctor can have a preliminary judgment on the patient before the initial consultation, thereby improving the doctor's diagnosis rate.
  • FIG. 1 is a schematic diagram of an application environment of a doctor's diagnosis and treatment assistance system in a first preferred embodiment of the present invention.
  • FIG. 2 is a schematic flow chart of a doctor's diagnosis and treatment assisting method in a second preferred embodiment of the present invention.
  • the present invention proposes a first preferred embodiment.
  • the doctor diagnosis and treatment assistance system 10 operates in the cloud server 1.
  • the cloud server 1 establishes a communication connection with the registration server 2, the electronic medical record server 3, the medical template server 4, and the plurality of communication terminal devices 5 (described in FIG. 1 as an example) via the communication network 6.
  • the cloud server 1 can 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 can 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.
  • the registration server 2 is used for registering the 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. .
  • 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.
  • 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.
  • 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.
  • the communication network 6 may be a wired communication network or a wireless communication network.
  • 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 a wired communication network, including but not limited to a metal wire network and a fiber network.
  • the cloud server 1 includes, but is not limited to, a doctor's medical assistance system 10, a communication unit 11, a storage unit 12, and a processing unit 13.
  • the communication unit 11 is a communication interface with a remote communication function, for example, supports GSM, GPRS.
  • Communication interfaces for wireless communication technologies such as CDMA, WCDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE, etc., support wired communication interfaces of USB, network cable and optical fiber.
  • 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.
  • 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.
  • 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.
  • CPU central processing unit
  • MCU microcontroller
  • data processing chip or an information processing unit having a data processing function.
  • the doctor consultation assistant system 10 includes: an information receiving module 101, a statistical analysis module 102, an auxiliary medical treatment module 103, a sending module 104, and a determining module 105.
  • the module referred to in the present invention refers to a series of computer program instruction segments which can be executed by the processing unit 13 of the cloud server 1 and which can perform a fixed function, which are stored in the storage unit 12 of the cloud server 1.
  • the information receiving module 101 is configured to receive the patient information from the communication terminal device 5, and obtain the visiting department of the visiting patient from the registration server 2 according to the patient information.
  • 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 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.
  • the medical consultation support system 10 of the present invention can simultaneously process the patient information received from the plurality of communication terminal devices 5, and is highly efficient.
  • the statistical analysis module 102 is configured to obtain an electronic medical record generated by the visiting medical department from the electronic medical record server 3 according to the visiting department of the visiting patient, and according to the electronic medical record generated by the visiting patient's visiting department Analyze the correlation curve between the various diseases diagnosed by the visiting department of the patient and the statistical analysis parameters; the statistical analysis parameters include but are not limited to: the number of diagnosed diseases, visits Daytime, patient age, patient origin, patient gender, and patient occupation.
  • the auxiliary medical treatment module 103 is configured to obtain a possible disease of the patient according to the statistical analysis parameter of the patient and the correlation curve between various diseases diagnosed by the visiting patient's visiting department and the statistical analysis parameter. List; then, according to the list of possible diseases, the medical template corresponding to each disease in the possible disease list is obtained from the medical template server 4.
  • the statistical analysis of the electronic medical records generated by the visiting patient's visiting department obtained from the electronic medical record server 3 can obtain the confirmed diagnosis of the visiting patient's visiting department. Correlation curve between disease and statistical analysis parameters.
  • 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.
  • a correlation curve between the various diseases diagnosed by the visiting patient's visiting department and the number of diagnosed diseases reflects the various diseases that have been diagnosed in the visiting department of the visiting patient and the corresponding confirmed number of diagnoses The relationship between the curves.
  • 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 confirmed diagnoses of the disease in the patient's visit department and the different years of the patient's visit.
  • the correlation curve reflects the number of diagnosed diseases and corresponding patients of the medical department of the visiting patient The relationship between the birthplaces.
  • a correlation curve between the various diseases diagnosed by the visiting patient's visiting department and the patient's occupation reflects the number of diagnosed diseases and corresponding patients of the medical department of the visiting patient The relationship between the occupations.
  • 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.
  • the sending module 104 is configured to 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.
  • the determining module 105 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.
  • the auxiliary medical treatment module 103 can provide a list of possible diseases of the visiting patient in combination with the correlation curve described above, and further, from the medical treatment template.
  • the server 4 obtains the medical treatment template corresponding to each disease in the possible disease list, and 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 through the sending module 104; therefore, when the doctor is in the communication terminal device 5
  • the list of possible diseases of the patient and the diagnosis template corresponding to each disease in the list of possible diseases can be obtained, so that the patient can be more targeted.
  • Diagnosis and diagnosis, and according to the symptoms and diagnosis results of the patients select the medical record template and the medical order template in the medical treatment template, and further improve the information, so as to quickly complete the diagnosis and treatment of the patients, and improve the doctor's consultation efficiency.
  • the present invention also provides a method corresponding to the above-described doctor's diagnosis and treatment assistance system.
  • a doctor diagnosis and treatment assisting 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
  • the terminal device 5 is connected.
  • the doctor's diagnosis and treatment assisting method comprises the following steps:
  • S101 Receive, from the communication terminal device 5, patient information, and according to the patient information, from the registered service
  • the server 2 obtains the visiting department of the patient.
  • the information receiving module 101 receives the patient information from the communication terminal device 5, from the registration server
  • 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)
  • the attending doctor the department of the visit, and/or the serial number of the visit.
  • 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.
  • the doctor's diagnosis and treatment assisting method of the present invention can simultaneously process the information of the patient from the plurality of communication terminal devices 5, which is highly efficient.
  • S102 Obtain an electronic medical record generated by the visiting department of the visiting patient from the electronic medical record server 3 according to the visiting department of the visiting patient, and obtain a medical consultation of the medical patient according to the electronic medical record statistical analysis generated by the visiting patient's visiting department. Correlation curve between various diseases diagnosed by the department and statistical analysis parameters.
  • the statistical analysis parameters include, but are not limited to, the number of disease diagnoses, 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.
  • the statistical analysis module 102 obtains an electronic medical record generated by the visiting patient's visiting department from the electronic medical record server 3 according to the visiting department of the visiting patient, and according to the electronic medical record generated by the visiting patient's visiting department The correlation curve between the various diseases diagnosed by the visiting department of the visiting patient and the statistical analysis parameters was analyzed.
  • S103 obtaining a list of possible diseases of the patient according to a statistical analysis parameter of the patient and a correlation curve between various diseases diagnosed by the visiting patient's visiting department and the statistical analysis parameter; and then according to the possible disease
  • the list obtains a medical treatment template corresponding to each disease in the possible disease list from the medical template server 4.
  • the auxiliary medical treatment module 103 obtains a possible disease of the patient according to the statistical analysis parameter of the patient and the correlation curve between the various diseases diagnosed by the visiting patient and the statistical analysis parameter of the visiting patient. List; then obtain possible diseases from the medical template server 4 according to the list of possible diseases The medical treatment template corresponding to each disease in the list.
  • the statistical analysis module 102 obtains the statistical analysis of the electronic medical records generated by the visiting patient's visiting department obtained from the electronic medical record server 3, and obtains various diseases diagnosed by the visiting patient's visiting department. Correlation curve with statistical analysis parameters.
  • 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.
  • a correlation curve between the various diseases diagnosed by the visiting patient's visiting department and the number of diagnosed diseases reflects the various diseases that have been diagnosed in the visiting department of the visiting patient and the corresponding confirmed number of diagnoses The relationship between the curves.
  • 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 confirmed diagnoses of the disease in the patient's visit department and the different years of the patient's visit.
  • the correlation curve reflects the number of diagnosed diseases and corresponding patients of the medical department of the visiting patient The relationship between the birthplaces.
  • S104 Send a medical treatment template corresponding to each disease in the list of possible diseases of the visiting patient and the list of possible diseases to the communication terminal device 5.
  • the sending module 104 sends the medical disease template corresponding to each disease in the list of possible diseases of the visiting patient and the list of possible diseases to the communication terminal device 5.
  • S105 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.
  • the determining module 105 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.
  • a list of possible diseases of the patient can be given, and the list of possible diseases is obtained from the medical template server 4.
  • the medical treatment template corresponding to each disease, and the medical treatment template corresponding to each disease in the list of possible diseases and the possible diseases list is sent to the communication terminal device 5; therefore, when the doctor determines the visiting patient in the communication terminal device 5, the patient starts to see the doctor Before, for example, during the call period, the list of possible diseases of the patient and the medical treatment template corresponding to each disease in the list of possible diseases can be obtained, so that the diagnosis and diagnosis can be more targeted, and according to the symptoms of the patient
  • the diagnosis results, the medical record template and the medical order template are selected in the medical treatment template, and the information is further improved, thereby quickly completing the diagnosis and treatment of the patient, and improving the doctor's consultation efficiency.
  • the doctor's diagnosis and treatment assistance system and method of the present invention can be based on the visiting department and statistical analysis of the patient visiting the patient The parameter and the correlation curve between the various diseases diagnosed by the visiting patient's visiting department and the statistical analysis parameters, obtaining a list of possible diseases of the patient; the doctor's diagnosis and treatment system and method according to the present invention, the doctor begins the consultation Before the patient can have a preliminary judgment on the patient, so as to improve the doctor's diagnosis rate.

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Abstract

一种医生诊疗辅助系统和方法，所述系统包括：信息接收模块（101），用于从通讯终端设备（5）接收就诊患者信息，从挂号服务器（2）获取该就诊患者的就诊科室；统计分析模块（102），用于从电子病历服务器（3）中获取该就诊患者的就诊科室产生的电子病历，统计分析获得该就诊科室确诊的各种疾病与统计分析参数之间的相关性曲线；辅助诊疗模块（103），用于根据该就诊患者的统计分析参数和该就诊科室确诊的各种疾病与统计分析参数之间的相关性曲线，获得该就诊患者的可能疾病列表；发送模块（104），用于将该就诊患者的可能疾病列表发送给通讯终端设备（5）。基于所述系统和方法，医生在开始问诊前即可对就诊患者有初步的判断，提高了医生的诊疗效率。

Description

发明名称：医生诊疗辅助系统和方法
技术领域
[0001] 本发明涉及医疗信息化技术领域， 尤其涉及一种医生诊疗辅助系统和方法。
背景技术
[0002] 医院医生接诊吋， 需要完成问诊、 下诊断、 写病历、 幵处方、 幵检査査验单、 回答患者疑问等工作， 而在医疗资源短缺的大环境下， 每个医生在一定吋间内 需要接诊较多患者。 因此， 上述这些工作往往需要在短短的几分钟内完成， 医 生的工作压力极大， 对医生的工作效率要求较高。
[0003] 因此， 需要一种能够提高医生的接诊效率的医生诊疗辅助系统及方法。
技术问题
[0004] 本发明的目的在于提供一种医生诊疗辅助系统及方法， 旨在提高医生的接诊效 率。
问题的解决方案
技术解决方案
[0005] 为实现上述目的， 本发明提供了一种医生诊疗辅助系统， 运行于云服务器中， 所述云服务器与挂号服务器、 电子病历服务器以及多个通讯终端设备连接， 所 述医生诊疗辅助系统包括：
[0006] 信息接收模块， 用于从通讯终端设备接收就诊患者信息， 从挂号服务器获取该 就诊患者的就诊科室；
[0007] 统计分析模块， 用于从电子病历服务器中获取该就诊患者的就诊科室产生的电 子病历， 统计分析获得该就诊患者的就诊科室确诊的各种疾病与统计分析参数 之间的相关性曲线； 所述统计分析参数包括： 疾病确诊数、 就诊吋间、 患者年 齢、 患者籍贯、 患者性别和 /或患者职业；
[0008] 辅助诊疗模块， 用于根据该就诊患者的统计分析参数以及该就诊患者的就诊科 室确诊的各种疾病与统计分析参数之间的相关性曲线， 获得该就诊患者的可能 疾病列表； 及 [0009] 发送模块， 用于将该就诊患者的可能疾病列表发送给通讯终端设备。
[0010] 其中， 所述云服务器还与诊疗模板服务器连接；
[0011] 所述辅助诊疗模块， 还用于根据可能疾病列表从诊疗模板服务器获得可能疾病 列表中各疾病对应的诊疗模板；
[0012] 所述发送模块， 还用于将可能疾病列表中各疾病对应的诊疗模板发送给通讯终 端设备。
[0013] 其中， 所述医生诊疗辅助系统还包括：
[0014] 确定模块， 用于从通讯终端设备接收医生最终确定的该就诊患者所患疾病信息 和医生选定并完善信息后的诊疗模板。
[0015] 其中， 所述相关性曲线包括就诊患者的就诊科室确诊的各种疾病分别与疾病确 诊数、 就诊吋间、 患者年齢、 患者籍贯、 患者性别之间的相关性曲线。
[0016] 其中， 所述诊疗模板包括病历模板和医嘱模板， 所述医嘱模板的内容包括处方 信息、 处置信息和 /或检测信息。
[0017] 为实现上述目的， 本发明还提供了一种医生诊疗辅助方法， 应用于云服务器中
， 所述云服务器与挂号服务器、 电子病历服务器以及多个通讯终端设备连接， 所述医生诊疗辅助方法包括以下步骤：
[0018] 从通讯终端设备接收就诊患者信息， 从挂号服务器获取该就诊患者的就诊科室
[0019] 从电子病历服务器中获取该就诊患者的就诊科室产生的电子病历， 统计分析获 得该就诊患者的就诊科室确诊的各种疾病与统计分析参数之间的相关性曲线； 所述统计分析参数包括： 疾病确诊数、 就诊吋间、 患者年齢、 患者籍贯、 患者 性别和 /或患者职业；
[0020] 根据该就诊患者的统计分析参数以及该就诊患者的就诊科室确诊的各种疾病与 统计分析参数之间的相关性曲线， 获得该就诊患者的可能疾病列表；
[0021] 将该就诊患者的可能疾病列表发送给通讯终端设备。
[0022] 其中， 所述医生诊疗辅助方法还包括以下步骤：
[0023] 根据可能疾病列表从诊疗模板服务器获得可能疾病列表中各疾病对应的诊疗模 板， 所述云服务器还与诊疗模板服务器连接； [0024] 将可能疾病列表中各疾病对应的诊疗模板发送给通讯终端设备。
[0025] 其中， 所述医生诊疗辅助方法还包括以下步骤：
[0026] 从通讯终端设备接收医生最终确定的该就诊患者所患疾病信息和医生选定并完 善信息后的诊疗模板。
[0027] 其中， 所述相关性曲线包括就诊患者的就诊科室确诊的各种疾病分别与疾病确 诊数、 就诊吋间、 患者年齢、 患者籍贯、 患者性别之间的相关性曲线。
[0028] 其中， 所述诊疗模板包括病历模板和医嘱模板， 所述医嘱模板的内容包括处方 信息、 处置信息和 /或检测信息。
发明的有益效果
有益效果
[0029] 本发明的医生诊疗辅助系统和方法， 能够根据就诊患者的就诊科室和统计分析 参数以及该就诊患者的就诊科室确诊的各种疾病与统计分析参数之间的相关性 曲线， 获得该就诊患者的可能疾病列表； 基于本发明的医生诊疗辅助系统和方 法， 医生在幵始问诊前即可对就诊患者有一个初步的判断， 从而提高医生的诊 疗效率。
对附图的简要说明
附图说明
[0030] 图 1是本发明第一优选实施例中的医生诊疗辅助系统的应用环境示意图。
[0031] 图 2是本发明第二优选实施例中的医生诊疗辅助方法的流程示意图。
实施该发明的最佳实施例
本发明的最佳实施方式
[0032] 下面结合具体实施例对本发明做进一步的详细说明， 以下实施例是对本发明的 解释， 本发明并不局限于以下实施例。
[0033] 本发明提出第一优选实施例， 如图 1所示， 所述医生诊疗辅助系统 10运行于云 服务器 1中。 所述云服务器 1通过通信网络 6与挂号服务器 2、 电子病历服务器 3、 诊疗模板服务器 4以及多个通讯终端设备 5 (图 1中以 3个为例进行说明） 建立通 信连接。 [0034] 所述云服务器 1可以是一种云平台、 云平台中的一台服务器、 或一台普通服务 器， 通过云服务器 1的数据传输能力及数据存储能力， 可以更好的处理及 /或协助 通讯终端设备 5的辅助诊疗请求， 有利于多个医生同吋利用不同的通讯终端设备 5进行操作。
[0035] 所述挂号服务器 2用于供就诊患者挂号并保存了就诊患者的挂号信息。 所述就 诊患者的挂号信息包括但不限于： 患者姓名、 患者年齢、 身份证号、 社保卡号 (或就诊卡号） 、 患者籍贯、 患者性别、 患者职业、 就诊吋间、 就诊科室、 主 治医生等信息。
[0036] 所述电子病历服务器 3用于保存电子病历。 所述电子病历， 包括患者在医院诊 断治疗全过程的原始记录， 例如： 患者姓名、 患者年齢、 身份证号、 社保卡号 (或就诊卡号） 、 患者籍贯、 患者性别、 患者职业、 就诊吋间、 就诊科室、 主 治医生、 病程记录、 检査检验结果、 医嘱、 手术记录、 护理记录等等。
[0037] 诊疗模板服务器 4用于保存针对各种疾病的诊疗模板。 所述诊疗模板包括病历 模板和医嘱模板， 所述医嘱模板的内容包括处方信息、 处置信息和检测信息。
[0038] 所述通讯终端设备 5用于供医生确定就诊患者， 査看就诊患者的可能疾病列表 和可能疾病列表中各疾病对应的诊疗模板， 选定诊疗模板， 并完善诊疗模板中 的信息。 所述通讯终端设备 5可以是， 但不限于， 智能手机、 平板电脑、 个人数 字助理 （Personal Digital Assistant, PDA) 、 个人电脑、 电子看板等其它任意合 适的电子设备。
[0039] 所述通信网络 6可以是有线通信网络或无线通信网络。 在第一优选实施例中， 所述通讯终端设备 5与云服务器 1之间的通信网络 6优选为无线通信网络， 包括但 不限于， GSM网络、 GPRS网络、 CDMA网络、 WCDMA网络、 TD-SCDMA网络 、 WiMAX网络、 TD-LTE网络、 FDD-LTE网络等无线传输网络。 所述云服务器 1 与挂号服务器 2、 电子病历服务器 3、 诊疗模板服务器 4之间的通信网络 6优选为 有线通信网络， 包括但不限于， 金属电线网络、 光纤网络。
[0040] 在第一优选实施例中， 所述云服务器 1包括， 但不限于， 医生诊疗辅助系统 10 、 通信单元 11、 存储单元 12和处理单元 13。
[0041] 所述通信单元 11为一种具有远程通讯功能的通讯接口， 例如支持 GSM、 GPRS 、 CDMA、 WCDMA、 TD-SCDMA、 WiMAX、 TD-LTE、 FDD-LTE等无线通讯 技术的通讯接口， 支持 USB、 网线、 光纤的有线通讯接口。 在第一实例中， 所述 通讯终端设备 5通过通信单元 11与所述云服务器 1进行信息交互； 所述云服务器 1 通过通信单元 11分别与挂号服务器 2、 电子病历服务器 3、 诊疗模板服务器 4进行 信息交互。
[0042] 所述存储单元 12可以为一种只读存储单元 ROM, 电可擦写存储单元 EEPROM 、 快闪存储单元 FLASH或固体硬盘等。
[0043] 所述处理单元 13可以为一种中央处理器 （Central Processing Unit, CPU) 、 微 控制器 （MCU) 、 数据处理芯片、 或者具有数据处理功能的信息处理单元。
[0044] 如图 1所示， 所述医生诊疗辅助系统 10包括： 信息接收模块 101、 统计分析模块 102、 辅助诊疗模块 103、 发送模块 104和确定模块 105。 本发明所称的模块是指 一种能够被所述云服务器 1的处理单元 13执行并且能够完成固定功能的一系列计 算机程序指令段， 其存储在所述云服务器 1的存储单元 12中。
[0045] 所述信息接收模块 101， 用于从通讯终端设备 5接收就诊患者信息， 并根据该就 诊患者信息从挂号服务器 2获取该就诊患者的就诊科室。
[0046] 所述就诊患者信息包括但不限于： 患者姓名、 患者社保卡号 （或患者就诊卡号 ) 、 主治医生、 就诊科室和 /或就诊序号等信息。
[0047] 为了提高系统处理效率， 所述信息接收模块 101可根据通讯终端设备 5的物理地 址 （例如 MAC地址） 产生的一个唯一身份识别码， 用于识别医生所使用的通讯 终端设备 5; 所述身份识别码可附在本发明的模块处理的结果中， 从而起到区分 信息接收模块 101先后接收到的不同的就诊患者信息， 以及区分基于该就诊患者 信息所得的一系列结果的作用。
[0048] 本发明医生诊疗辅助系统 10能够同吋处理来自从多个通讯终端设备 5接收的就 诊患者信息， 效率高。
[0049] 所述统计分析模块 102， 用于根据该就诊患者的就诊科室从电子病历服务器 3中 获取该就诊患者的就诊科室产生的电子病历， 并根据该就诊患者的就诊科室产 生的电子病历统计分析获得该就诊患者的就诊科室确诊的各种疾病与统计分析 参数之间的相关性曲线； 所述统计分析参数包括但不限于： 疾病确诊数、 就诊 吋间、 患者年齢、 患者籍贯、 患者性别和患者职业。
[0050] 所述辅助诊疗模块 103， 用于根据该就诊患者的统计分析参数以及该就诊患者 的就诊科室确诊的各种疾病与统计分析参数之间的相关性曲线， 获得该就诊患 者的可能疾病列表； 然后根据可能疾病列表从诊疗模板服务器 4获得可能疾病列 表中各疾病对应的诊疗模板。
[0051] 在第一优选实施例中， 通过统计分析模块 102对从电子病历服务器 3中获取的该 就诊患者的就诊科室产生的电子病历的统计分析， 可获得该就诊患者的就诊科 室确诊的各种疾病与统计分析参数之间的相关性曲线。
[0052] 所述相关性曲线， 包括但不限于， 就诊患者的就诊科室确诊的各种疾病分别与 疾病确诊数、 就诊吋间、 患者年齢、 患者籍贯、 患者性别之间的相关性曲线。
[0053] 所述就诊患者的就诊科室确诊的各种疾病与疾病确诊数之间的相关性曲线； 该 相关性曲线反映的是该就诊患者的就诊科室已经确诊的各种疾病与相应的确诊 数之间的关系曲线。
[0054] 所述就诊患者的就诊科室确诊的各种疾病与就诊吋间之间的相关性曲线； 当把 就诊吋间按季节分、 月份分或任意明确的吋间段划分吋， 该相关性曲线反映的 是该就诊患者的就诊科室已经确诊的各种疾病的确诊数与不同明确的吋间段之 间的关系曲线。
[0055] 所述就诊患者的就诊科室确诊的各种疾病与患者年齢之间的相关性曲线； 在获 得该相关性曲线吋， 一般将患者年齢按每 10岁作为一个年齢段进行划分； 在本 发明的替代实施例中， 也可以将患者年齢按童年 （按 0-6岁） 、 少年 （7-17岁） 、 青年 （18-40岁） 、 中年 （41-65岁） 、 老年 （65岁以后） 进行划分。 该相关性 曲线反映的是该就诊患者的就诊科室已经确诊的各种疾病的确诊数与相应的患 者就诊吋所处的不同年齢段之间的关系曲线。
[0056] 所述就诊患者的就诊科室确诊的各种疾病与患者籍贯之间的相关性曲线； 该相 关性曲线反映的是该就诊患者的就诊科室已经确诊的各种疾病的确诊数与相应 患者的籍贯之间的关系曲线。 通过该关系曲线可获知： 地中海贫血患者籍贯是 广东、 广西或四川的较多， 是长江以南各省区的较少， 是北方各省区则比较罕 见； 鼻咽癌患者籍贯是广东、 福建、 湖南、 江西的较多。 [0057] 所述就诊患者的就诊科室确诊的各种疾病与患者性别之间的相关性曲线； 该相 关性曲线反映的是该就诊患者的就诊科室已经确诊的各种疾病的确诊数与相应 患者的性别之间的关系曲线。 通过该关系曲线可获知乳腺癌患者绝大部分为女 性。
[0058] 所述就诊患者的就诊科室确诊的各种疾病与患者职业之间的相关性曲线； 该相 关性曲线反映的是该就诊患者的就诊科室已经确诊的各种疾病的确诊数与相应 患者的职业之间的关系曲线。 通过该关系曲线可获知： 镉中毒患者中职业为电 镀工人的较多； 尘肺病患者中职业为公路、 铁路或水利建设工人、 矿山幵采工 人的较多， 职业为城市白领的则极为罕见。
[0059] 所述发送模块 104， 用于将该就诊患者的可能疾病列表和可能疾病列表中各疾 病对应的诊疗模板发送给通讯终端设备 5。
[0060] 所述确定模块 105， 用于从通讯终端设备 5接收医生最终确定的该就诊患者所患 疾病信息和医生选定并完善信息后的诊疗模板。
[0061] 在第一优选实施例中， 所述辅助诊疗模块 103在获得该就诊患者的统计分析参 数后， 结合上述的相关性曲线， 能够给出该就诊患者的可能疾病列表， 进而从 诊疗模板服务器 4获得可能疾病列表中各疾病对应的诊疗模板， 并通过发送模块 104将可能疾病列表和可能疾病列表中各疾病对应的诊疗模板发送给通讯终端设 备 5; 因此， 当医生在通讯终端设备 5确定就诊患者后， 在就诊患者幵始就诊前 ， 例如： 叫号期间， 即可获得该就诊患者的可能疾病列表和可能疾病列表中各 疾病对应的诊疗模板， 从而能够更为针对性的进行问诊和诊断， 并根据就诊患 者的症状和诊断结果， 在诊疗模板中选择病历模板和医嘱模板， 并进一步完善 信息， 从而快速完成就诊患者的诊疗， 提高了医生的接诊效率。
[0062]
[0063] 在本发明的另外一个方面， 本发明还提供了一种与上述医生诊疗辅助系统对应 的方法。 如图 2所示， 一种医生诊疗辅助方法， 应用于云服务器 1中， 所述云服 务器 1与挂号服务器 2、 电子病历服务器 3、 诊疗模板服务器 4以及多个通讯终端 设备 5以及多个通讯终端设备 5连接。 所述医生诊疗辅助方法包括以下步骤：
[0064] S101、 从通讯终端设备 5接收就诊患者信息， 并根据该就诊患者信息从挂号服 务器 2获取该就诊患者的就诊科室。
[0065] 具体地， 信息接收模块 101从通讯终端设备 5接收就诊患者信息， 从挂号服务器
2获取该就诊患者的就诊科室。
[0066] 所述就诊患者信息包括但不限于： 患者姓名、 患者社保卡号 （或患者就诊卡号
) 、 主治医生、 就诊科室和 /或就诊序号等信息。
[0067] 为了提高处理效率， 所述信息接收模块 101可根据通讯终端设备 5的物理地址 （ 例如 MAC地址） 产生的一个唯一身份识别码， 用于识别医生所使用的通讯终端 设备 5; 所述身份识别码可附在本发明的模块处理的结果中， 从而起到区分信息 接收模块 101先后接收到的不同的就诊患者信息， 以及区分基于该就诊患者信息 所得的一系列结果的作用。
[0068] 本发明医生诊疗辅助方法能够同吋处理来自从多个通讯终端设备 5接收的就诊 患者信息， 效率高。
[0069] S102、 根据该就诊患者的就诊科室从电子病历服务器 3中获取该就诊患者的就 诊科室产生的电子病历， 并根据该就诊患者的就诊科室产生的电子病历统计分 析获得该就诊患者的就诊科室确诊的各种疾病与统计分析参数之间的相关性曲 线。 所述统计分析参数包括但不限于： 疾病确诊数、 就诊吋间、 患者年齢、 患 者籍贯、 患者性别和患者职业。
[0070] 具体地， 所述统计分析模块 102根据该就诊患者的就诊科室从电子病历服务器 3 中获取该就诊患者的就诊科室产生的电子病历， 并根据该就诊患者的就诊科室 产生的电子病历统计分析获得该就诊患者的就诊科室确诊的各种疾病与统计分 析参数之间的相关性曲线。
[0071 ] S 103、 根据该就诊患者的统计分析参数以及该就诊患者的就诊科室确诊的各种 疾病与统计分析参数之间的相关性曲线， 获得该就诊患者的可能疾病列表； 然 后根据可能疾病列表从诊疗模板服务器 4获得可能疾病列表中各疾病对应的诊疗 模板。
[0072] 具体地， 所述辅助诊疗模块 103根据该就诊患者的统计分析参数以及该就诊患 者的就诊科室确诊的各种疾病与统计分析参数之间的相关性曲线， 获得该就诊 患者的可能疾病列表； 然后根据可能疾病列表从诊疗模板服务器 4获得可能疾病 列表中各疾病对应的诊疗模板。
[0073] 在本实施例中， 通过统计分析模块 102对从电子病历服务器 3中获取的该就诊患 者的就诊科室产生的电子病历的统计分析， 可获得该就诊患者的就诊科室确诊 的各种疾病与统计分析参数之间的相关性曲线。
[0074] 所述相关性曲线， 包括但不限于， 就诊患者的就诊科室确诊的各种疾病分别与 疾病确诊数、 就诊吋间、 患者年齢、 患者籍贯、 患者性别之间的相关性曲线。
[0075] 所述就诊患者的就诊科室确诊的各种疾病与疾病确诊数之间的相关性曲线； 该 相关性曲线反映的是该就诊患者的就诊科室已经确诊的各种疾病与相应的确诊 数之间的关系曲线。
[0076] 所述就诊患者的就诊科室确诊的各种疾病与就诊吋间之间的相关性曲线； 当把 就诊吋间按季节分、 月份分或任意明确的吋间段划分吋， 该相关性曲线反映的 是该就诊患者的就诊科室已经确诊的各种疾病的确诊数与不同明确的吋间段之 间的关系曲线。
[0077] 所述就诊患者的就诊科室确诊的各种疾病与患者年齢之间的相关性曲线； 在获 得该相关性曲线吋， 一般将患者年齢按每 10岁作为一个年齢段进行划分； 在本 发明的替代实施例中， 也可以将患者年齢按童年 （按 0-6岁） 、 少年 （7-17岁） 、 青年 （18-40岁） 、 中年 （41-65岁） 、 老年 （65岁以后） 进行划分。 该相关性 曲线反映的是该就诊患者的就诊科室已经确诊的各种疾病的确诊数与相应的患 者就诊吋所处的不同年齢段之间的关系曲线。
[0078] 所述就诊患者的就诊科室确诊的各种疾病与患者籍贯之间的相关性曲线； 该相 关性曲线反映的是该就诊患者的就诊科室已经确诊的各种疾病的确诊数与相应 患者的籍贯之间的关系曲线。 通过该关系曲线可获知： 地中海贫血患者籍贯是 广东、 广西或四川的较多， 是长江以南各省区的较少， 是北方各省区则比较罕 见； 鼻咽癌患者籍贯是广东、 福建、 湖南、 江西的较多。
[0079] 所述就诊患者的就诊科室确诊的各种疾病与患者性别之间的相关性曲线； 该相 关性曲线反映的是该就诊患者的就诊科室已经确诊的各种疾病的确诊数与相应 患者的性别之间的关系曲线。 通过该关系曲线可获知乳腺癌患者绝大部分为女 性。 [0080] 所述就诊患者的就诊科室确诊的各种疾病与患者职业之间的相关性曲线； 该相 关性曲线反映的是该就诊患者的就诊科室已经确诊的各种疾病的确诊数与相应 患者的职业之间的关系曲线。 通过该关系曲线可获知： 镉中毒患者中职业为电 镀工人的较多； 尘肺病患者中职业为公路、 铁路或水利建设工人、 矿山幵采工 人的较多， 职业为城市白领的则极为罕见。
[0081] S104、 将该就诊患者的可能疾病列表和可能疾病列表中各疾病对应的诊疗模板 发送给通讯终端设备 5。
[0082] 具体地， 所述发送模块 104将该就诊患者的可能疾病列表和可能疾病列表中各 疾病对应的诊疗模板发送给通讯终端设备 5。
[0083] S105、 从通讯终端设备 5接收医生最终确定的该就诊患者所患疾病信息和医生 选定并完善信息后的诊疗模板。
[0084] 具体地， 所述确定模块 105从通讯终端设备 5接收医生最终确定的该就诊患者所 患疾病信息和医生选定并完善信息后的诊疗模板。
[0085] 在第二优选实施例中， 在获得该就诊患者的统计分析参数后， 结合上述的相关 性曲线， 能够给出该就诊患者的可能疾病列表， 从诊疗模板服务器 4获得可能疾 病列表中各疾病对应的诊疗模板， 并将可能疾病列表和可能疾病列表中各疾病 对应的诊疗模板发送给通讯终端设备 5 ; 因此， 当医生在通讯终端设备 5确定就 诊患者后， 在就诊患者幵始就诊前， 例如： 叫号期间， 即可获得该就诊患者的 可能疾病列表和可能疾病列表中各疾病对应的诊疗模板， 从而能够更为针对性 的进行问诊和诊断， 并根据就诊患者的症状和诊断结果， 在诊疗模板中选择病 历模板和医嘱模板， 并进一步完善信息， 从而快速完成就诊患者的诊疗， 提高 了医生的接诊效率。
[0086]
[0087] 以上仅为本发明的优选实施例， 并非因此限制本发明的专利范围， 凡是利用本 发明说明书及附图内容所作的等效结构或等效流程变换， 或直接或间接运用在 其他相关的技术领域， 均同理包括在本发明的专利保护范围内。
工业实用性
[0088] 本发明的医生诊疗辅助系统和方法， 能够根据就诊患者的就诊科室和统计分析 参数以及该就诊患者的就诊科室确诊的各种疾病与统计分析参数之间的相关性 曲线， 获得该就诊患者的可能疾病列表； 基于本发明的医生诊疗辅助系统和方 法， 医生在幵始问诊前即可对就诊患者有一个初步的判断， 从而提高医生的诊 疗效率。

Claims

权利要求书
[权利要求 1] 一种医生诊疗辅助系统， 运行于云服务器中， 其特征在于， 所述云服 务器与挂号服务器、 电子病历服务器以及多个通讯终端设备连接， 所 述医生诊疗辅助系统包括： 信息接收模块， 用于从通讯终端设备接收 就诊患者信息， 从挂号服务器获取该就诊患者的就诊科室； 统计分析 模块， 用于从电子病历服务器中获取该就诊患者的就诊科室产生的电 子病历， 统计分析获得该就诊患者的就诊科室确诊的各种疾病与统计 分析参数之间的相关性曲线； 所述统计分析参数包括： 疾病确诊数、 就诊吋间、 患者年齢、 患者籍贯、 患者性别和 /或患者职业； 辅助诊 疗模块， 用于根据该就诊患者的统计分析参数以及该就诊患者的就诊 科室确诊的各种疾病与统计分析参数之间的相关性曲线， 获得该就诊 患者的可能疾病列表； 及发送模块， 用于将该就诊患者的可能疾病列 表发送给通讯终端设备。
[权利要求 2] 根据权利要求 1所述的医生诊疗辅助系统， 其特征在于， 所述云服务 器还与诊疗模板服务器连接； 所述辅助诊疗模块， 还用于根据可能疾 病列表从诊疗模板服务器获得可能疾病列表中各疾病对应的诊疗模板 ； 所述发送模块， 还用于将可能疾病列表中各疾病对应的诊疗模板发 送给通讯终端设备。
[权利要求 3] 根据权利要求 2所述的医生诊疗辅助系统， 其特征在于， 所述医生诊 疗辅助系统还包括： 确定模块， 用于从通讯终端设备接收医生最终确 定的该就诊患者所患疾病信息和医生选定并完善信息后的诊疗模板。
[权利要求 4] 根据权利要求 1所述的医生诊疗辅助系统， 其特征在于， 所述相关性 曲线包括就诊患者的就诊科室确诊的各种疾病分别与疾病确诊数、 就 诊吋间、 患者年齢、 患者籍贯、 患者性别之间的相关性曲线。
[权利要求 5] 根据权利要求 2所述的医生诊疗辅助系统， 其特征在于， 所述诊疗模 板包括病历模板和医嘱模板， 所述医嘱模板的内容包括处方信息、 处 置信息和 /或检测信息。
[权利要求 6] —种医生诊疗辅助方法， 应用于云服务器中， 其特征在于， 所述云服 务器与挂号服务器、 电子病历服务器以及多个通讯终端设备连接， 所 述医生诊疗辅助方法包括以下步骤： 从通讯终端设备接收就诊患者信 息， 从挂号服务器获取该就诊患者的就诊科室； 从电子病历服务器中 获取该就诊患者的就诊科室产生的电子病历， 统计分析获得该就诊患 者的就诊科室确诊的各种疾病与统计分析参数之间的相关性曲线； 所 述统计分析参数包括： 疾病确诊数、 就诊吋间、 患者年齢、 患者籍贯 、 患者性别和 /或患者职业； 根据该就诊患者的统计分析参数以及该 就诊患者的就诊科室确诊的各种疾病与统计分析参数之间的相关性曲 线， 获得该就诊患者的可能疾病列表； 将该就诊患者的可能疾病列表 发送给通讯终端设备。
根据权利要求 6所述的医生诊疗辅助方法， 其特征在于， 所述医生诊 疗辅助方法还包括以下步骤： 根据可能疾病列表从诊疗模板服务器获 得可能疾病列表中各疾病对应的诊疗模板。 所述云服务器还与诊疗模 板服务器连接； 将可能疾病列表中各疾病对应的诊疗模板发送给通讯 终端设备。
根据权利要求 7所述的医生诊疗辅助方法， 其特征在于， 所述医生诊 疗辅助方法还包括以下步骤： 从通讯终端设备接收医生最终确定的该 就诊患者所患疾病信息和医生选定并完善信息后的诊疗模板。
根据权利要求 6所述的医生诊疗辅助方法， 其特征在于， 所述相关性 曲线包括就诊患者的就诊科室确诊的各种疾病分别与疾病确诊数、 就 诊吋间、 患者年齢、 患者籍贯、 患者性别之间的相关性曲线。
根据权利要求 7所述的医生诊疗辅助方法， 其特征在于， 所述诊疗模 板包括病历模板和医嘱模板， 所述医嘱模板的内容包括处方信息、 处 置信息和 /或检测信息。
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