WO2016165177A1 - 基于面部识别的网络医院自助缴费方法和系统 - Google Patents

基于面部识别的网络医院自助缴费方法和系统 Download PDF

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Publication number
WO2016165177A1
WO2016165177A1 PCT/CN2015/078628 CN2015078628W WO2016165177A1 WO 2016165177 A1 WO2016165177 A1 WO 2016165177A1 CN 2015078628 W CN2015078628 W CN 2015078628W WO 2016165177 A1 WO2016165177 A1 WO 2016165177A1
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WIPO (PCT)
Prior art keywords
patient
information
service payment
facial recognition
network hospital
Prior art date
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Ceased
Application number
PCT/CN2015/078628
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English (en)
French (fr)
Inventor
张贯京
陈兴明
葛新科
张少鹏
方静芳
克里斯基捏普拉纽克
古列莎艾琳娜
波达别特伊万
高伟明
梁昊原
梁艳妮
周荣
徐之艳
周亮
肖应芬
郑慧华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Qianhai AnyCheck Information Technology Co Ltd
E Techno Information Technologies Co Ltd
Bio Tech Academy China Co Ltd
Shenzhen Gongchuang Science and Technology Development Co Ltd
Original Assignee
Shenzhen Qianhai AnyCheck Information Technology Co Ltd
E Techno Information Technologies Co Ltd
Bio Tech Academy China Co Ltd
Shenzhen Gongchuang Science and Technology Development Co Ltd
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Application filed by Shenzhen Qianhai AnyCheck Information Technology Co Ltd, E Techno Information Technologies Co Ltd, Bio Tech Academy China Co Ltd, Shenzhen Gongchuang Science and Technology Development Co Ltd filed Critical Shenzhen Qianhai AnyCheck Information Technology Co Ltd
Publication of WO2016165177A1 publication Critical patent/WO2016165177A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • 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
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management

Definitions

  • the present invention relates to the field of medical technology, and in particular, to a network hospital self-service payment method and system based on face recognition.
  • the existing self-service payment terminal requires the user to input a user name and password, or to identify the identity through the social security card, and then display the consumption situation to the user through the user, and the user pays the payment through the bank card or cash; however, the operation of the identification method is cumbersome. It is not convenient for users to use, and the payment efficiency is low.
  • the main object of the present invention is to provide a network hospital self-service payment method and system based on face recognition, which is convenient for users to use and can improve payment efficiency.
  • the present invention provides a network hospital self-service payment method based on facial recognition, and the facial hospital-based online hospital self-service payment method includes the following steps:
  • a payment interface is provided for paying the fee corresponding to the consumption list.
  • the step of matching and displaying the corresponding consumption list according to the user information comprises:
  • the patient information includes basic information and diagnostic information of the patient;
  • the consumption list is displayed on the display interface.
  • the facial recognition-based network hospital self-service payment method further comprises the steps of:
  • the medical insurance account consumption amount and the personal account consumption amount are separately calculated and stored in the consumption list corresponding to the diagnosis information.
  • the facial recognition-based network hospital self-service payment method further comprises the steps of:
  • the facial recognition-based network hospital self-service payment method further comprises the steps of:
  • the medical insurance account consumption amount and the personal account consumption amount are separately calculated and stored in the consumption list corresponding to the diagnosis information.
  • the facial recognition-based network hospital self-service payment method further comprises the steps of:
  • the patient information of the patient is associated with the diagnostic information during the patient consultation; the diagnostic information includes at least a diagnostic document.
  • the facial recognition-based network hospital self-service payment method further comprises the steps of:
  • the medical insurance account consumption amount and the personal account consumption amount are separately calculated and stored in the consumption list corresponding to the diagnosis information.
  • the present invention further provides a network hospital self-service payment system based on face recognition, wherein the facial recognition-based network hospital self-service payment system comprises:
  • An identification module configured to collect a facial image of the user, identify the facial image, and acquire user information corresponding to the facial image
  • a matching module configured to match and display the corresponding consumption list according to the user information
  • the interface providing module is configured to provide a payment interface for paying a fee corresponding to the consumption list.
  • the matching module is specifically configured to:
  • the patient information includes basic information and diagnostic information of the patient;
  • the consumption list is displayed on the display interface.
  • the facial recognition-based network hospital self-service payment system further comprises:
  • the calculating module is configured to separately calculate the medical insurance account consumption amount and the personal account consumption amount according to the diagnosis information of the patient, and store the same into the consumption list corresponding to the diagnostic information.
  • the facial recognition-based network hospital self-service payment system further comprises:
  • the first association module is configured to collect a facial image of the patient when the patient is registered, generate user information corresponding to the facial image, and associate the basic information of the patient with the user information.
  • the facial recognition-based network hospital self-service payment system further comprises:
  • the calculating module is configured to separately calculate the medical insurance account consumption amount and the personal account consumption amount according to the diagnosis information of the patient, and store the same into the consumption list corresponding to the diagnostic information.
  • the facial recognition-based network hospital self-service payment system further comprises:
  • the second association module is configured to associate the user information of the patient with the diagnostic information during the patient consultation; the diagnostic information includes at least a diagnostic document.
  • the facial recognition-based network hospital self-service payment system further comprises:
  • the calculating module is configured to separately calculate the medical insurance account consumption amount and the personal account consumption amount according to the diagnosis information of the patient, and store the same into the consumption list corresponding to the diagnostic information.
  • the invention After collecting the facial image of the user, the invention identifies the facial image and obtains corresponding user information, and after verifying the user information successfully, matches the corresponding consumption list according to the user information and displays it to the user, and pays the user
  • the user is provided with a payment interface for paying the fee corresponding to the consumption list.
  • the corresponding user information is obtained through the facial image, and the corresponding consumption list is directly matched according to the user information, and the payment interface is provided for payment, which is convenient for the user to use, and improves the payment efficiency.
  • FIG. 1 is a schematic flow chart of a first embodiment of a method for self-service payment of a network hospital based on facial recognition according to the present invention
  • FIG. 2 is a schematic diagram of a refinement process of step S20 in FIG. 1;
  • FIG. 3 is a schematic flow chart of a second embodiment of a method for self-service payment of a network hospital based on facial recognition according to the present invention
  • FIG. 4 is a schematic flow chart of a third embodiment of a method for self-service payment of a network hospital based on facial recognition according to the present invention
  • FIG. 5 is a schematic flow chart of a fourth embodiment of a method for self-service payment of a network hospital based on facial recognition according to the present invention
  • FIG. 6 is a schematic diagram of functional modules of a first embodiment of a network hospital self-service payment system based on facial recognition according to the present invention
  • FIG. 7 is a schematic diagram of functional modules of a second embodiment of a network hospital self-service payment system based on facial recognition according to the present invention.
  • FIG. 8 is a schematic diagram of functional modules of a third embodiment of a network hospital self-service payment system based on facial recognition according to the present invention.
  • FIG. 9 is a schematic diagram of functional modules of a fourth embodiment of a network hospital self-service payment system based on facial recognition according to the present invention.
  • the invention provides a network hospital self-service payment method based on face recognition.
  • the user information is obtained by collecting the facial image, and the corresponding consumption list is directly matched according to the user information, and the payment interface is provided for payment, which is convenient for the user to use, and improves the payment efficiency.
  • FIG. 1 is a schematic flowchart diagram of a first embodiment of a method for self-service payment of a network hospital based on facial recognition according to the present invention.
  • a method for network hospital self-service payment based on facial recognition includes:
  • Step S10 collecting a facial image of the user, identifying the facial image, and acquiring user information corresponding to the facial image;
  • the self-service payment method provided in this embodiment can be applied to the self-service payment terminal installed in each hospital, and can also be applied to the intelligent terminal, and can be used for the payment of the diagnosis document and the payment of the medical fee in the whole process of the user's medical treatment.
  • the user's facial image can be collected, and the image collection device such as a camera set on the self-service payment terminal can be collected during the collection, or can be connected to the network hospital platform through the camera or other device on the smart terminal.
  • Image acquisition software for acquisition After the facial image of the user is acquired, the facial image is processed and recognized, and the user information corresponding to the facial image is acquired, for example, the facial image is processed to obtain the facial contour information of the user, or the facial image is recognized. Get the registered number associated with the face image.
  • the user information is verified, for example, whether the obtained facial contour information exists in the facial contour information database, and the facial contour information database stores the faces of all the patients who have collected the facial image when the registration is registered. Contour information, or determining whether the acquired registration number is correct; at the same time, determining whether the storage time of the facial contour information in the facial contour information database that is the same as the recognized facial contour information is within a prescribed time range, or determining the storage of the registered number Whether the time is within the specified time range, the time range can be set to one week, that is, the facial contour information or the registered number stored in one week is valid, and the payment is not required to be registered again within one week, and other relevant medical treatment can be directly performed after the payment.
  • Step S20 matching corresponding consumption lists according to user information and displaying them;
  • the consumer list corresponding to the user information is matched in the preset consumption list database according to the user information.
  • the preset consumption list library stores a consumption list associated with the facial contour information or the registered number of each patient who has collected the facial image; after matching the consumption list corresponding to the user information, displaying the consumption list, For the user to view, the consumption list can list all the consumption of the patient in the diagnosis process one by one.
  • step S30 a payment interface is provided for paying the fee corresponding to the consumption list.
  • the selection items for the user selection may be simultaneously displayed on the display interface, such as “payment” or “cancel”.
  • the payment interface is provided to the user, and the user can perform the method in any way.
  • the payment can be paid, for example, through an online connection of the smart terminal through an online banking or a third-party payment platform, or through a self-service payment terminal through a bank card or a social security card.
  • the embodiment After collecting the facial image of the user, the embodiment identifies the facial image and obtains corresponding user information, and after successfully verifying the user information, matches the corresponding consumption list according to the user information and displays the same to the user.
  • a payment interface is provided to the user at the time of payment for payment of the fee corresponding to the consumption list.
  • the user information is obtained by collecting the facial image, and the corresponding consumption list is directly matched according to the user information, and the payment interface is provided for payment, which is convenient for the user to use, and improves the payment efficiency.
  • FIG. 2 is a schematic diagram of the refinement process of step S20 in FIG.
  • step S20 specifically includes:
  • Step S201 Acquire patient information associated with user information
  • the associated patient information is obtained from the user information, for example, from the facial contour information obtained for the facial image recognition or the registration associated with the facial image. Get the associated patient information in the number.
  • the patient information includes basic information and diagnostic information of the patient, wherein the basic information includes information such as the patient's name, gender, age, and past medical history, which may identify the patient, and the diagnostic information includes the patient in the process of seeing a doctor. All diagnostic documents generated that require payment.
  • Step S202 matching, according to basic information of the patient, a consumption list generated according to the diagnosis information in a preset consumption list library;
  • step S203 the consumption list is displayed on the display interface.
  • the consumption list of the patient is matched in the preset consumption list library, and the consumption list corresponding to the user information of all the patients who have collected the facial image is stored in the consumption list library, and the consumption is consumed.
  • the list is generated according to the diagnostic document, that is, during the process of the patient's visit, the system records each generated diagnostic document corresponding to the patient's user information, and counts and calculates all the patient's diagnostic documents, and generates corresponding data for the patient. Consumption list. After matching to the corresponding consumption list, it is displayed on the display interface of the smart terminal or self-service payment terminal for the user to understand the consumption details.
  • FIG. 3 is a schematic flowchart diagram of a second embodiment of a method for self-service payment of a network hospital based on facial recognition according to the present invention.
  • the first embodiment of the network hospital self-service payment method based on the face recognition according to the present invention in the second embodiment, the method further includes:
  • Step S40 collecting a facial image of the patient when the patient is registered, generating user information corresponding to the facial image, and associating the basic information of the patient with the user information.
  • the facial image of the patient is first collected, and the image may be collected by an image capturing device such as a camera set on the self-service payment terminal, or through the smart terminal.
  • the built-in camera or other image acquisition software that can communicate with the network hospital platform is collected, and the collected facial image is analyzed to obtain facial contour information or the corresponding registration number is assigned to the patient, and the facial contour information and the registered number are The user information corresponding to the face image.
  • the basic information of the patient is associated with the generated user information, that is, the correspondence between the user information and the patient's name, gender, age, and past medical history is established, and only the patient's face needs to be collected during subsequent payment or other medical treatment.
  • the image is analyzed and the corresponding user information is obtained to correlate the basic information of the patient without collecting or inputting again.
  • the step S40 is preferably performed before the step S10 described above is performed.
  • FIG. 4 is a schematic flowchart diagram of a third embodiment of a network hospital self-service payment method based on facial recognition according to the present invention.
  • the first embodiment of the network hospital self-service payment method based on the face recognition according to the present invention in the third embodiment, the method further includes:
  • Step S50 the patient information of the patient is associated with the diagnostic information during the patient consultation; the diagnostic information includes at least the diagnostic document.
  • the doctor may prescribe a diagnosis or prescription for various treatments or examinations. All the diagnosis documents and prescriptions in the whole process of the patient consultation are the diagnosis information of the patient.
  • a diagnostic document or prescription is issued, it is associated with the patient's user information to facilitate the statistics of the patient's consumption according to the diagnostic information, and it is convenient to associate the corresponding consumption list according to the user information when paying the fee.
  • the step S50 is preferably performed before the step S10 described above is performed.
  • FIG. 5 is a schematic flowchart of a fourth embodiment of a method for self-service payment of a network hospital based on facial recognition according to the present invention.
  • the self-service payment method further includes:
  • Step S60 Calculate the medical insurance account consumption amount and the personal account consumption amount according to the patient's diagnosis information, and store them in the consumption list corresponding to the diagnosis information.
  • the consumption amount of the patient when the consumption situation is calculated according to the diagnosis information of the patient, the consumption amount of the patient may be classified according to the social security participation situation of the patient, that is, the medical insurance account consumption amount and the personal account consumption amount are respectively calculated, and the medical insurance account is Both the consumption amount and the personal account consumption amount are stored in the consumption list.
  • the consumption list is displayed to the user, the list of the medical insurance account consumption amount and the personal account consumption amount list may be separately listed for the user to view.
  • the step S60 is preferably performed before the step S10.
  • the invention also provides a network hospital self-service payment system based on face recognition.
  • FIG. 6 is a schematic diagram of functional modules of a first embodiment of a network hospital self-service payment system based on facial recognition according to the present invention.
  • the facial hospital based online hospital self-service payment system comprises:
  • the identification module 10 is configured to collect a facial image of the user, identify the facial image, and obtain user information corresponding to the facial image;
  • the matching module 20 is configured to match and display the corresponding consumption list according to the user information
  • the interface providing module 30 is configured to provide a payment interface for paying a fee corresponding to the consumption list.
  • the self-service payment method provided in this embodiment can be applied to the self-service payment terminal installed in each hospital, and can also be applied to the intelligent terminal, and can be used for the payment of the diagnosis document and the payment of the medical fee in the whole process of the user's medical treatment.
  • the user's facial image can be collected, and the image collection device such as a camera set on the self-service payment terminal can be collected during the collection, or can be connected to the network hospital platform through the camera or other device on the smart terminal.
  • the recognition module 10 processes and recognizes the facial image, and acquires user information corresponding to the facial image, for example, processing the facial image to obtain facial contour information of the user, or the facial image. Identification is performed to obtain a registered number associated with the facial image.
  • the identification module 10 verifies the user information, for example, whether the obtained facial contour information exists in the facial contour information database, and all the facial images collected when the registration is stored in the facial contour information database The facial contour information of the patient, or whether the obtained registration number is correct; at the same time, it is judged whether the storage time of the facial contour information in the facial contour information database which is the same as the recognized facial contour information is within a prescribed time range, or the registration is determined. Whether the storage time of the number is within the specified time range, the time range can be set to one week, that is, the facial contour information or the registered number stored in one week is valid, and the payment is not required to be registered again within one week, and the payment can be directly performed after the payment. Related treatment.
  • the matching module 20 matches the user information in the preset consumption list database according to the user information.
  • the consumption list the preset consumption list library stores a consumption list associated with the facial contour information or the registered number of each patient who has collected the facial image; after matching the consumption list corresponding to the user information, the consumption list is Displayed for the user to view, the consumption list can list all the consumption of the patient during the diagnosis process.
  • the selection item for the user selection may be simultaneously displayed on the display interface, such as “payment” or “cancel”.
  • the interface providing module 30 provides a payment interface to the user, and the user may Payment can be made by any means, for example, through a smart terminal connection network through online banking or a third-party payment platform, or through a self-service payment terminal through a bank card or a social security card.
  • the embodiment After collecting the facial image of the user, the embodiment identifies the facial image and obtains corresponding user information, and after successfully verifying the user information, matches the corresponding consumption list according to the user information and displays the same to the user.
  • a payment interface is provided to the user at the time of payment for payment of the fee corresponding to the consumption list.
  • the user information is obtained by collecting the facial image, and the corresponding consumption list is directly matched according to the user information, and the payment interface is provided for payment, which is convenient for the user to use, and improves the payment efficiency.
  • the matching module 20 is specifically configured to:
  • the consumption list is displayed on the display interface.
  • the matching module 20 After acquiring the facial image of the user and obtaining the user information by processing or identifying, the matching module 20 acquires the associated patient information from the user information, for example, from the facial contour information obtained from the facial image recognition or related to the facial image. Get the associated patient information in the registered number.
  • the patient information includes basic information and diagnostic information of the patient, wherein the basic information includes information such as the patient's name, gender, age, and past medical history, which may identify the patient, and the diagnostic information includes the patient in the process of seeing a doctor. All diagnostic documents generated that require payment.
  • the matching module 20 After obtaining the basic information of the patient, the matching module 20 matches the consumption list of the patient in the preset consumption list library according to the basic information, and the consumption list corresponding to the user information of all the patients who have collected the facial image is stored in the consumption list library.
  • the list, the consumption list is generated according to the diagnostic document, that is, in the process of the patient's medical examination, the system records each generated diagnostic document corresponding to the patient's user information, and counts and calculates all the patient's diagnostic documents for the patient. Generate a corresponding consumption list.
  • the matching module 20 displays it on the display interface of the smart terminal or the self-service payment terminal for the user to understand the consumption details.
  • FIG. 7 is a schematic diagram of functional modules of a second embodiment of a network hospital self-service payment system based on facial recognition according to the present invention.
  • the first embodiment of the network hospital self-service payment system based on the facial recognition based on the present invention.
  • the self-service payment system further includes:
  • the first association module 40 is configured to collect a facial image of the patient when the patient is registered, generate user information corresponding to the facial image, and associate the basic information of the patient with the user information.
  • the first association module 40 When the patient registers through the network hospital platform or through the registration software on the smart terminal, the first association module 40 first collects the facial image of the patient, and when collecting, the image collection device such as a camera set on the self-service payment terminal can collect the image. It can be collected by the camera on the smart terminal or other image acquisition software that can communicate with the network hospital platform, and the collected facial image can be analyzed to obtain facial contour information or the corresponding registration number can be assigned to the patient. The information and registration number are the user information corresponding to the facial image. Then, the basic information of the patient is associated with the generated user information, that is, the correspondence between the user information and the patient's name, gender, age, and past medical history is established, and only the patient's face needs to be collected during subsequent payment or other medical treatment. The image is analyzed and the corresponding user information is obtained to correlate the basic information of the patient without collecting or inputting again.
  • the image collection device such as a camera set on the self-service payment terminal can collect the image. It can be collected by
  • FIG. 8 is a schematic diagram of functional modules of a third embodiment of a network hospital self-service payment system based on facial recognition according to the present invention.
  • the first embodiment of the network hospital self-service payment system based on the facial recognition based on the present invention.
  • the self-service payment system further includes:
  • the second association module 50 is configured to associate the patient information of the patient with the diagnostic information during the patient consultation; the diagnostic information includes at least the diagnostic document.
  • the doctor may prescribe a diagnosis or prescription for various treatments or examinations. All the diagnosis documents and prescriptions in the whole process of the patient consultation are the diagnosis information of the patient.
  • the second association module 50 associates it with the patient information of the patient, so as to conveniently count the patient's consumption according to the diagnosis information, and conveniently associate the corresponding information according to the user information when paying the fee. Consumption list.
  • FIG. 9 is a schematic diagram of functional modules of a fourth embodiment of a network hospital self-service payment system based on facial recognition according to the present invention.
  • the self-service payment system further includes:
  • the calculating module 60 is configured to separately calculate the medical insurance account consumption amount and the personal account consumption amount according to the patient's diagnostic information, and store the same in the consumption list corresponding to the diagnostic information.
  • the calculation module 60 may classify and calculate the consumption amount according to the social security participation condition of the patient, that is, calculate the medical insurance account consumption amount and the personal account consumption amount respectively.
  • the medical insurance account consumption amount and the personal account consumption amount are all stored in the consumption list.
  • the list of the medical insurance account consumption amount and the personal account consumption amount list may be separately listed for the user to view.

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Abstract

本发明公开了一种基于面部识别的网络医院自助缴费方法，该方法包括如下步骤：采集用户的面部图像，识别面部图像，获取面部图像对应的用户信息；根据用户信息匹配对应的消费清单并显示；提供支付界面，以供支付消费清单对应的费用。本发明还公开了一种基于面部识别的网络医院自助缴费系统。本发明方案通过面部图像获取对应的用户信息，并根据用户信息直接匹配对应的消费清单，并可提供支付界面进行支付，方便了用户使用，并且提高了缴费效率。

Description

基于面部识别的网络医院自助缴费方法和系统
技术领域
本发明涉及医疗技术领域，尤其涉及一种基于面部识别的网络医院自助缴费方法和系统。
背景技术
随着人们生活条件的不断提高，饮食、污染等问题使各种疾病不断涌现，而现有的医疗体系及规模很难满足人们的实际需求。为了缓解这种现状，政府出台了网上预约、电话挂号等惠民政策，一定程度上缓解了患者就医挂号难的现状。人们到医院看病就医，免不了要打针拿药或作体检，缴纳相关费用也就是自然的，为了解决目前只能通过交费窗口排队进行交费的问题，部分医院已采用了自助缴费终端。现有的自助缴费终端需要用户输入用户名和密码，或者通过社保卡进行身份识别，通过后向用户显示消费情况，用户通过银行卡或现金进行缴费；然而，这种身份识别的方式操作较为繁琐，不方便用户使用，且缴费效率低。
发明内容
本发明的主要目的在于提供一种基于面部识别的网络医院自助缴费方法和系统，方便用户使用，并且能够提高缴费效率。
为实现上述目的，本发明提供了一种基于面部识别的网络医院自助缴费方法，所述基于面部识别的网络医院自助缴费方法包括如下步骤：
采集用户的面部图像，识别所述面部图像，获取面部图像对应的用户信息；
根据所述用户信息匹配对应的消费清单并显示；
提供支付界面，以供支付所述消费清单对应的费用。
优选地，所述根据所述用户信息匹配对应的消费清单并显示的步骤包括：
获取所述用户信息相关联的病人信息；所述病人信息包括病人的基本信息和诊断信息；
根据病人的基本信息，在预置的消费清单库中匹配根据所述诊断信息生成的消费清单；
在显示界面显示所述消费清单。
优选地，所述基于面部识别的网络医院自助缴费方法还包括步骤：
根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
优选地，所述基于面部识别的网络医院自助缴费方法还包括步骤：
在病人挂号时采集所述病人的面部图像，生成所述面部图像对应的用户信息，并将所述病人的基本信息与所述用户信息相关联。
优选地，所述基于面部识别的网络医院自助缴费方法还包括步骤：
根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
优选地，所述基于面部识别的网络医院自助缴费方法还包括步骤：
在病人会诊过程中，将该病人的用户信息与诊断信息相关联；所述诊断信息至少包括诊断单据。
优选地，所述基于面部识别的网络医院自助缴费方法还包括步骤：
根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
此外，为实现上述目的，本发明还提供一种基于面部识别的网络医院自助缴费系统，所述基于面部识别的网络医院自助缴费系统包括：
识别模块，用于采集用户的面部图像，识别所述面部图像，获取面部图像对应的用户信息；
匹配模块，用于根据所述用户信息匹配对应的消费清单并显示；
界面提供模块，用于提供支付界面，以供支付所述消费清单对应的费用。
优选地，所述匹配模块具体用于：
获取所述用户信息相关联的病人信息；所述病人信息包括病人的基本信息和诊断信息；
根据病人的基本信息，在预置的消费清单库中匹配根据所述诊断信息生成的消费清单；
在显示界面显示所述消费清单。
优选地，所述基于面部识别的网络医院自助缴费系统还包括：
计算模块，用于根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
优选地，所述基于面部识别的网络医院自助缴费系统还包括：
第一关联模块，用于在病人挂号时采集所述病人的面部图像，生成所述面部图像对应的用户信息，并将所述病人的基本信息与所述用户信息相关联。
优选地，所述基于面部识别的网络医院自助缴费系统还包括：
计算模块，用于根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
优选地，所述基于面部识别的网络医院自助缴费系统还包括：
第二关联模块，用于在病人会诊过程中，将该病人的用户信息与诊断信息相关联；所述诊断信息至少包括诊断单据。
优选地，所述基于面部识别的网络医院自助缴费系统还包括：
计算模块，用于根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
本发明在采集到用户的面部图像后，对该面部图像进行识别并获取对应的用户信息，并在对用户信息校验成功后根据该用户信息匹配对应的消费清单并向用户显示，在用户支付时向用户提供支付界面，以供支付消费清单对应的费用。通过面部图像获取对应的用户信息，并根据用户信息直接匹配对应的消费清单，并可提供支付界面进行支付，方便了用户使用，并且提高了缴费效率。
附图说明
图1为本发明基于面部识别的网络医院自助缴费方法第一实施例的流程示意图；
图2为图1中步骤S20的细化流程示意图；
图3为本发明基于面部识别的网络医院自助缴费方法第二实施例的流程示意图；
图4为本发明基于面部识别的网络医院自助缴费方法第三实施例的流程示意图；
图5为本发明基于面部识别的网络医院自助缴费方法第四实施例的流程示意图；
图6为本发明基于面部识别的网络医院自助缴费系统第一实施例的功能模块示意图；
图7为本发明基于面部识别的网络医院自助缴费系统第二实施例的功能模块示意图；
图8为本发明基于面部识别的网络医院自助缴费系统第三实施例的功能模块示意图；
图9为本发明基于面部识别的网络医院自助缴费系统第四实施例的功能模块示意图。
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
本发明提供一种基于面部识别的网络医院自助缴费方法。通过采集面部图像获取对应的用户信息，并根据用户信息直接匹配对应的消费清单，并可提供支付界面进行支付，方便了用户使用，并且提高了缴费效率。
参照图1，图1为本发明基于面部识别的网络医院自助缴费方法第一实施例的流程示意图。
在本发明一实施例中，基于面部识别的网络医院自助缴费方法包括：
步骤S10，采集用户的面部图像，识别面部图像，获取面部图像对应的用户信息；
本实施例所提供的自助缴费方法可应用于设置于各医院中的自助缴费终端，也可应用于智能终端，可用于用户看病整个过程中的诊断单据的费用支付以及医药费的支付。在缴费时，可采集用户的面部图像，在采集时既可以通过自助缴费终端上设置的摄像头等图像采集装置进行采集，也可以通过智能终端上自带的摄像头或其他可与网络医院平台通信连接的图像采集软件进行采集。在采集到用户的面部图像后，对该面部图像进行处理并识别，获取面部图像所对应的用户信息，例如对面部图像进行处理以得到该用户的面部轮廓信息，或者对该面部图像进行识别以获取与面部图像相关联的挂号号码。
在得到了用户信息后，对用户信息进行校验，例如，判断得到的面部轮廓信息是否存在于面部轮廓信息库中，该面部轮廓信息库中存储有挂号时采集过面部图像的所有病人的面部轮廓信息，或者，判断获取的挂号号码是否正确；同时，判断面部轮廓信息库中与识别出的面部轮廓信息相同的面部轮廓信息的存储时间是否在规定的时间范围内，或判断挂号号码的存储时间是否在规定的时间范围内，该时间范围可以设置为一周，即一周内存储的面部轮廓信息或挂号号码都有效，在一周内缴费均无需再次挂号，可直接在缴费后进行其他相关诊疗。
步骤S20，根据用户信息匹配对应的消费清单并显示；
对用户信息进行校验并且成功后，即确定该用户信息是正确的，并且其存储时间在规定的时间范围内时，根据用户信息在预置的消费清单库中匹配该用户信息对应的消费清单，预置的消费清单库中存储有与每个采集过面部图像的病人的面部轮廓信息或挂号号码相关联的消费清单；在匹配到用户信息对应的消费清单后，将该消费清单进行显示，以便用户查看，消费清单可以列表的形式逐条列出病人在诊断过程中的全部消费情况。
步骤S30，提供支付界面，以供支付消费清单对应的费用。
在显示消费清单的同时，可在显示界面上同时显示供用户选择的选择项，例如“支付”或“取消”，当用户点击“支付”时，向用户提供支付界面，用户可通过任何方式进行支付，例如可通过智能终端连接网络通过网银或第三方支付平台的方式支付，也可通过自助缴费终端通过银行卡或社保卡等方式进行支付。
本实施例在采集到用户的面部图像后，对该面部图像进行识别并获取对应的用户信息，并在对用户信息校验成功后根据该用户信息匹配对应的消费清单并向用户显示，在用户支付时向用户提供支付界面，以供支付消费清单对应的费用。通过采集面部图像获取对应的用户信息，并根据用户信息直接匹配对应的消费清单，并可提供支付界面进行支付，方便了用户使用，并且提高了缴费效率。
参照图2，图2为图1中步骤S20的细化流程示意图。
在上述实施例中，步骤S20具体包括：
步骤S201，获取用户信息相关联的病人信息；
在采集到用户的面部图像并通过处理或识别得到用户信息后，从用户信息中获取相关联的病人信息，例如，从对面部图像识别所得到的面部轮廓信息中或者与面部图像相关联的挂号号码中获取相关联的病人信息。本实施例中，病人信息包括病人的基本信息和诊断信息，其中，基本信息包括该病人的姓名、性别、年龄及既往病史等可标识该病人的信息，诊断信息包括病人在一次看病的过程中所产生的全部需要缴费的诊断单据。
步骤S202，根据病人的基本信息，在预置的消费清单库中匹配根据诊断信息生成的消费清单；
步骤S203，在显示界面显示消费清单。
获取到病人的基本信息后，根据该基本信息，在预置的消费清单库中匹配该病人的消费清单，消费清单库中存储有所有采集过面部图像的病人的用户信息对应的消费清单，消费清单根据诊断单据生成，即在病人看病的过程中，系统会记录该病人的用户信息所对应的每一次产生的诊断单据，并将病人的全部诊断单据进行统计和计算，为该病人生成相应的消费清单。匹配到相应的消费清单后，将其显示在智能终端或自助缴费终端的显示界面上，供用户了解消费详情。
参照图3，图3为本发明基于面部识别的网络医院自助缴费方法第二实施例的流程示意图。
基于本发明基于面部识别的网络医院自助缴费方法第一实施例，第二实施例中，该方法还包括：
步骤S40，在病人挂号时采集病人的面部图像，生成面部图像对应的用户信息，并将病人的基本信息与用户信息相关联。
在病人通过网络医院平台或通过智能终端上的挂号软件挂号时，首先采集该病人的面部图像，采集时，可通过自助缴费终端上设置的摄像头等图像采集装置进行采集，也可通过智能终端上自带的摄像头或其他可与网络医院平台通信连接的图像采集软件进行采集，并对采集到的面部图像进行分析得到面部轮廓信息或为该病人分配相应的挂号号码，面部轮廓信息和挂号号码即为该面部图像对应的用户信息。然后将病人的基本信息与生成的用户信息相关联，即建立用户信息与病人的姓名、性别、年龄及既往病史等信息的对应关系，在后续缴费或进行其他诊疗时，只需要采集病人的面部图像，并对该面部图像进行分析得到对应的用户信息，即可关联出该病人的基本信息，无需再次采集或输入。本实施例中，该步骤S40优选在执行上述步骤S10之前执行。
参照图4，图4为本发明基于面部识别的网络医院自助缴费方法第三实施例的流程示意图。
基于本发明基于面部识别的网络医院自助缴费方法第一实施例，第三实施例中，该方法还包括：
步骤S50，在病人会诊过程中，将该病人的用户信息与诊断信息相关联；诊断信息至少包括诊断单据。
在病人会诊的过程中，医生可能会为病人开出各种治疗或检查的诊断单据或处方单，该病人会诊的整个过程中的所有诊断单据和处方单即为该病人的诊断信息，在每开出一张诊断单据或处方单的时候，将其与病人的用户信息相关联，以方便根据诊断信息统计病人的消费情况，并且在缴费时方便根据用户信息关联出相应的消费清单。本实施例中，该步骤S50优选在执行上述步骤S10之前执行。
参照图5，图5为本发明基于面部识别的网络医院自助缴费方法第四实施例的流程示意图。
基于本发明上述实施例，该自助缴费方法还包括：
步骤S60，根据病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至诊断信息对应的消费清单中。
本实施例中，在根据病人的诊断信息计算消费情况时，可根据该病人的社保参保情况，将其消费金额进行分类统计，即分别计算医保账户消费金额和个人账户消费金额，将医保账户消费金额和个人账户消费金额均存储至消费清单中，在向用户显示消费清单时，可将医保账户消费金额的清单和个人账户消费金额的清单分别列出，供用户查看。本实施例中，该步骤S60优选在步骤S10之前执行。
本发明还提供一种基于面部识别的网络医院自助缴费系统。
参照图6，图6为本发明基于面部识别的网络医院自助缴费系统第一实施例的功能模块示意图。
在一实施例中，基于面部识别的网络医院自助缴费系统包括：
识别模块10，用于采集用户的面部图像，识别面部图像，获取面部图像对应的用户信息；
匹配模块20，用于根据用户信息匹配对应的消费清单并显示；
界面提供模块30，用于提供支付界面，以供支付消费清单对应的费用。
本实施例所提供的自助缴费方法可应用于设置于各医院中的自助缴费终端，也可应用于智能终端，可用于用户看病整个过程中的诊断单据的费用支付以及医药费的支付。在缴费时，可采集用户的面部图像，在采集时既可以通过自助缴费终端上设置的摄像头等图像采集装置进行采集，也可以通过智能终端上自带的摄像头或其他可与网络医院平台通信连接的图像采集软件进行采集。在采集到用户的面部图像后，识别模块10对该面部图像进行处理并识别，获取面部图像所对应的用户信息，例如对面部图像进行处理以得到该用户的面部轮廓信息，或者对该面部图像进行识别以获取与面部图像相关联的挂号号码。
在得到了用户信息后，识别模块10对用户信息进行校验，例如，判断得到的面部轮廓信息是否存在于面部轮廓信息库中，该面部轮廓信息库中存储有挂号时采集过面部图像的所有病人的面部轮廓信息，或者，判断获取的挂号号码是否正确；同时，判断面部轮廓信息库中与识别出的面部轮廓信息相同的面部轮廓信息的存储时间是否在规定的时间范围内，或判断挂号号码的存储时间是否在规定的时间范围内，该时间范围可以设置为一周，即一周内存储的面部轮廓信息或挂号号码都有效，在一周内缴费均无需再次挂号，可直接在缴费后进行其他相关诊疗。
对用户信息进行校验并且成功后，即确定该用户信息是正确的，并且其存储时间在规定的时间范围内时，匹配模块20根据用户信息在预置的消费清单库中匹配该用户信息对应的消费清单，预置的消费清单库中存储有与每个采集过面部图像的病人的面部轮廓信息或挂号号码相关联的消费清单；在匹配到用户信息对应的消费清单后，将该消费清单进行显示，以便用户查看，消费清单可以列表的形式逐条列出病人在诊断过程中的全部消费情况。
在显示消费清单的同时，可在显示界面上同时显示供用户选择的选择项，例如“支付”或“取消”，当用户点击“支付”时，界面提供模块30向用户提供支付界面，用户可通过任何方式进行支付，例如可通过智能终端连接网络通过网银或第三方支付平台的方式支付，也可通过自助缴费终端通过银行卡或社保卡等方式进行支付。
本实施例在采集到用户的面部图像后，对该面部图像进行识别并获取对应的用户信息，并在对用户信息校验成功后根据该用户信息匹配对应的消费清单并向用户显示，在用户支付时向用户提供支付界面，以供支付消费清单对应的费用。通过采集面部图像获取对应的用户信息，并根据用户信息直接匹配对应的消费清单，并可提供支付界面进行支付，方便了用户使用，并且提高了缴费效率。
在上述实施例中，匹配模块20具体用于：
获取用户信息相关联的病人信息；
根据病人的基本信息，在预置的消费清单库中匹配根据诊断信息生成的消费清单；
在显示界面显示消费清单。
在采集到用户的面部图像并通过处理或识别得到用户信息后，匹配模块20从用户信息中获取相关联的病人信息，例如，从对面部图像识别所得到的面部轮廓信息中或者与面部图像相关联的挂号号码中获取相关联的病人信息。本实施例中，病人信息包括病人的基本信息和诊断信息，其中，基本信息包括该病人的姓名、性别、年龄及既往病史等可标识该病人的信息，诊断信息包括病人在一次看病的过程中所产生的全部需要缴费的诊断单据。
获取到病人的基本信息后，匹配模块20根据该基本信息，在预置的消费清单库中匹配该病人的消费清单，消费清单库中存储有所有采集过面部图像的病人的用户信息对应的消费清单，消费清单根据诊断单据生成，即在病人看病的过程中，系统会记录该病人的用户信息所对应的每一次产生的诊断单据，并将病人的全部诊断单据进行统计和计算，为该病人生成相应的消费清单。匹配到相应的消费清单后，匹配模块20将其显示在智能终端或自助缴费终端的显示界面上，供用户了解消费详情。
参照图7，图7为本发明基于面部识别的网络医院自助缴费系统第二实施例的功能模块示意图。
基于本发明基于面部识别的网络医院自助缴费系统第一实施例，第二实施例中，自助缴费系统还包括：
第一关联模块40，用于在病人挂号时采集病人的面部图像，生成面部图像对应的用户信息，并将病人的基本信息与用户信息相关联。
在病人通过网络医院平台或通过智能终端上的挂号软件挂号时，第一关联模块40首先采集该病人的面部图像，采集时，可通过自助缴费终端上设置的摄像头等图像采集装置进行采集，也可通过智能终端上自带的摄像头或其他可与网络医院平台通信连接的图像采集软件进行采集，并对采集到的面部图像进行分析得到面部轮廓信息或为该病人分配相应的挂号号码，面部轮廓信息和挂号号码即为该面部图像对应的用户信息。然后将病人的基本信息与生成的用户信息相关联，即建立用户信息与病人的姓名、性别、年龄及既往病史等信息的对应关系，在后续缴费或进行其他诊疗时，只需要采集病人的面部图像，并对该面部图像进行分析得到对应的用户信息，即可关联出该病人的基本信息，无需再次采集或输入。
参照图8，图8为本发明基于面部识别的网络医院自助缴费系统第三实施例的功能模块示意图。
基于本发明基于面部识别的网络医院自助缴费系统第一实施例，第三实施例中，自助缴费系统还包括：
第二关联模块50，用于在病人会诊过程中，将该病人的用户信息与诊断信息相关联；诊断信息至少包括诊断单据。
在病人会诊的过程中，医生可能会为病人开出各种治疗或检查的诊断单据或处方单，该病人会诊的整个过程中的所有诊断单据和处方单即为该病人的诊断信息，在每开出一张诊断单据或处方单的时候，第二关联模块50将其与病人的用户信息相关联，以方便根据诊断信息统计病人的消费情况，并且在缴费时方便根据用户信息关联出相应的消费清单。
参照图9，图9为本发明基于面部识别的网络医院自助缴费系统第四实施例的功能模块示意图。
基于本发明基于面部识别的网络医院自助缴费系统第一实施例，第四实施例中，自助缴费系统还包括：
计算模块60，用于根据病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至诊断信息对应的消费清单中。
本实施例中，在根据病人的诊断信息计算消费情况时，计算模块60可根据该病人的社保参保情况，将其消费金额进行分类统计，即分别计算医保账户消费金额和个人账户消费金额，将医保账户消费金额和个人账户消费金额均存储至消费清单中，在向用户显示消费清单时，可将医保账户消费金额的清单和个人账户消费金额的清单分别列出，供用户查看。
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。

Claims (14)

  1. 一种基于面部识别的网络医院自助缴费方法，其特征在于，所述基于面部识别的网络医院自助缴费方法包括如下步骤：
    采集用户的面部图像，识别所述面部图像，获取面部图像对应的用户信息；
    根据所述用户信息匹配对应的消费清单并显示；
    提供支付界面，以供支付所述消费清单对应的费用。
  2. 如权利要求1所述的基于面部识别的网络医院自助缴费方法，其特征在于，所述根据所述用户信息匹配对应的消费清单并显示的步骤包括：
    获取所述用户信息相关联的病人信息；所述病人信息包括病人的基本信息和诊断信息；
    根据病人的基本信息，在预置的消费清单库中匹配根据所述诊断信息生成的消费清单；
    在显示界面显示所述消费清单。
  3. 如权利要求2所述的基于面部识别的网络医院自助缴费方法，其特征在于，所述基于面部识别的网络医院自助缴费方法还包括步骤：
    根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
  4. 如权利要求2所述的基于面部识别的网络医院自助缴费方法，其特征在于，所述基于面部识别的网络医院自助缴费方法还包括步骤：
    在病人挂号时采集所述病人的面部图像，生成所述面部图像对应的用户信息，并将所述病人的基本信息与所述用户信息相关联。
  5. 如权利要求4所述的基于面部识别的网络医院自助缴费方法，其特征在于，所述基于面部识别的网络医院自助缴费方法还包括步骤：
    根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
  6. 如权利要求2所述的基于面部识别的网络医院自助缴费方法，其特征在于，所述基于面部识别的网络医院自助缴费方法还包括步骤：
    在病人会诊过程中，将该病人的用户信息与诊断信息相关联；所述诊断信息至少包括诊断单据。
  7. 如权利要求6所述的基于面部识别的网络医院自助缴费方法，其特征在于，所述基于面部识别的网络医院自助缴费方法还包括步骤：
    根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
  8. 一种基于面部识别的网络医院自助缴费系统，其特征在于，所述基于面部识别的网络医院自助缴费系统包括：
    识别模块，用于采集用户的面部图像，识别所述面部图像，获取面部图像对应的用户信息；
    匹配模块，用于根据所述用户信息匹配对应的消费清单并显示；
    界面提供模块，用于提供支付界面，以供支付所述消费清单对应的费用。
  9. 如权利要求8所述的基于面部识别的网络医院自助缴费系统，其特征在于，所述匹配模块具体用于：
    获取所述用户信息相关联的病人信息；所述病人信息包括病人的基本信息和诊断信息；
    根据病人的基本信息，在预置的消费清单库中匹配根据所述诊断信息生成的消费清单；
    在显示界面显示所述消费清单。
  10. 如权利要求9所述的基于面部识别的网络医院自助缴费系统，其特征在于，所述基于面部识别的网络医院自助缴费系统还包括：
    计算模块，用于根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
  11. 如权利要求9所述的基于面部识别的网络医院自助缴费系统，其特征在于，所述基于面部识别的网络医院自助缴费系统还包括：
    第一关联模块，用于在病人挂号时采集所述病人的面部图像，生成所述面部图像对应的用户信息，并将所述病人的基本信息与所述用户信息相关联。
  12. 如权利要求11所述的基于面部识别的网络医院自助缴费系统，其特征在于，所述基于面部识别的网络医院自助缴费系统还包括：
    计算模块，用于根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
  13. 如权利要求9所述的基于面部识别的网络医院自助缴费系统，其特征在于，所述基于面部识别的网络医院自助缴费系统还包括：
    第二关联模块，用于在病人会诊过程中，将该病人的用户信息与诊断信息相关联；所述诊断信息至少包括诊断单据。
  14. 如权利要求13所述的基于面部识别的网络医院自助缴费系统，其特征在于，所述基于面部识别的网络医院自助缴费系统还包括：
    计算模块，用于根据所述病人的诊断信息，分别计算医保账户消费金额和个人账户消费金额，并存储至所述诊断信息对应的消费清单中。
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106600857A (zh) * 2017-01-23 2017-04-26 上海市胸科医院 一种自引导式自助入院缴费系统及方法
CN109615387A (zh) * 2018-11-29 2019-04-12 中国科学院重庆绿色智能技术研究院 一种基于人脸识别的消费支付系统及方法
CN110223762A (zh) * 2019-04-25 2019-09-10 深圳壹账通智能科技有限公司 一种基于人脸识别的就诊业务处理方法及其装置
CN112257056A (zh) * 2020-10-26 2021-01-22 深圳市德卡科技股份有限公司 一种多种身份介质统一认证方法及系统
CN117253318A (zh) * 2023-08-22 2023-12-19 北京国旺盛源智能终端科技有限公司 一种智能化自助缴费终端系统及方法

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017128084A1 (zh) * 2016-01-26 2017-08-03 罗剑锋 人脸与信用卡匹配技术的使用数据统计方法以及验证系统
WO2017128085A1 (zh) * 2016-01-26 2017-08-03 罗剑锋 人脸与信用卡匹配技术信息展示的方法以及验证系统
CN109359963A (zh) * 2018-08-02 2019-02-19 阿里巴巴集团控股有限公司 医保结算方法及装置和电子设备
CN109559794B (zh) * 2018-10-27 2024-07-12 深圳平安医疗健康科技服务有限公司 一种医疗费用线上缴费方法及装置
CN109545344A (zh) * 2018-10-31 2019-03-29 平安医疗健康管理股份有限公司 医疗缴费方法、医疗缴费终端及医疗机构服务器
CN114224286A (zh) * 2020-09-08 2022-03-25 上海联影医疗科技股份有限公司 一种乳腺检查的压迫方法、装置、终端和介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102984048A (zh) * 2012-10-14 2013-03-20 周良文 用于医院的网络即时通信互动信息平台
CN103279799A (zh) * 2013-05-14 2013-09-04 美合实业（苏州）有限公司 便携式远程多功能医疗服务系统
CN104143139A (zh) * 2014-08-07 2014-11-12 辽宁蓝卡医疗投资管理有限公司 基于面部表情的付款方法及系统
CN104408615A (zh) * 2014-12-10 2015-03-11 福建联迪商用设备有限公司 一种指纹识别的pos交易方法及系统

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201867884U (zh) * 2010-12-10 2011-06-15 重庆亚德科技股份有限公司 一种医疗自助系统
CN103136663A (zh) * 2011-12-05 2013-06-05 上海博路信息技术有限公司 一种基于终端指纹识别的远程支付系统
CN103985041A (zh) * 2014-06-03 2014-08-13 中国人民解放军第三军医大学第一附属医院 基于二维码的门诊手机自助缴费系统及方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102984048A (zh) * 2012-10-14 2013-03-20 周良文 用于医院的网络即时通信互动信息平台
CN103279799A (zh) * 2013-05-14 2013-09-04 美合实业（苏州）有限公司 便携式远程多功能医疗服务系统
CN104143139A (zh) * 2014-08-07 2014-11-12 辽宁蓝卡医疗投资管理有限公司 基于面部表情的付款方法及系统
CN104408615A (zh) * 2014-12-10 2015-03-11 福建联迪商用设备有限公司 一种指纹识别的pos交易方法及系统

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106600857A (zh) * 2017-01-23 2017-04-26 上海市胸科医院 一种自引导式自助入院缴费系统及方法
CN106600857B (zh) * 2017-01-23 2024-06-07 上海市胸科医院 一种自引导式自助入院缴费系统及方法
CN109615387A (zh) * 2018-11-29 2019-04-12 中国科学院重庆绿色智能技术研究院 一种基于人脸识别的消费支付系统及方法
CN110223762A (zh) * 2019-04-25 2019-09-10 深圳壹账通智能科技有限公司 一种基于人脸识别的就诊业务处理方法及其装置
CN112257056A (zh) * 2020-10-26 2021-01-22 深圳市德卡科技股份有限公司 一种多种身份介质统一认证方法及系统
CN117253318A (zh) * 2023-08-22 2023-12-19 北京国旺盛源智能终端科技有限公司 一种智能化自助缴费终端系统及方法
CN117253318B (zh) * 2023-08-22 2024-03-29 北京国旺盛源智能终端科技有限公司 一种智能化自助缴费终端系统及方法

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