CN115018462A - Filling method and device of medical insurance settlement list, electronic equipment and storage medium - Google Patents
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Abstract
The application relates to a filling method and device of a medical insurance settlement list, electronic equipment and a storage medium, wherein the method comprises the following steps: the automatic data filling module fills basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charging information; when the basic information, the clinic slow and special disease diagnosis and treatment information, the in-patient diagnosis and treatment information and the medical charging information need to be modified and/or filled, the basic information, the clinic slow and special disease diagnosis and treatment information, the in-patient diagnosis and treatment information and the medical charging information are modified and/or filled through an intelligent voice modification and/or filling module; the DIP big data analysis module obtains a DIP component value recommendation according with a local hospital according to the diagnosis code and the operation code, and medical staff recommend and adjust a main diagnosis code and an operation code of a medical insurance settlement list according to the DIP component value. According to the application, the filling of the medical insurance settlement list and the recommendation of DIP entry component values are realized through the automatic data filling module, the intelligent voice modification and/or filling module and the DIP big data analysis module.
Description
Technical Field
The application relates to the technical field of medical settlement, in particular to a method and a device for filling a medical insurance settlement list, electronic equipment and a storage medium.
Background
The payment of DIP score thoroughly changes the cost settlement mode between the hospital and the medical insurance, brings little work challenge to related medical staff and medical insurance managers, and is really very troubling to the medical staff if the medical insurance settlement list is efficiently and correctly filled in the DIP mode.
Disclosure of Invention
Based on the above problems, the application provides a method and a device for filling in a medical insurance settlement list, an electronic device and a storage medium.
In a first aspect, an embodiment of the present application provides a method for filling a medical insurance settlement list, which is applied to a system including an automatic data filling module, an intelligent voice modification and/or filling module, and a DIP big data analysis module, and includes:
the automatic data filling module fills basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charging information;
when basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charging information need to be modified and/or filled, the basic information, the clinic slow and special disease diagnosis and treatment information, the hospitalization diagnosis and treatment information and the medical charging information are modified and/or filled through an intelligent voice modification and/or filling module;
the DIP big data analysis module obtains a DIP component value recommendation according with a local hospital according to the diagnosis code and the operation code, and medical staff recommend and adjust a main diagnosis code and an operation code of a medical insurance settlement list according to the DIP component value.
Further, in the method for filling in a medical insurance settlement list, the automatic data filling module fills in basic information, and the method comprises the following steps:
the data automatic filling module is connected with an EMR system in a butt joint mode, structured homepage document information is obtained, and basic information is analyzed from the homepage document;
the basic information includes at least: name, gender, date of birth, age, nationality, patient certificate category, patient certificate number, occupation, current address, work unit and address, unit phone, zip code, contact name, relationship, address, phone, medical insurance type, special personnel type, address, neonatal admission type, and neonatal birth weight.
Further, in the method for filling out the medical insurance settlement list, the automatic data filling module fills out clinic slow and special disease diagnosis and treatment information, and the method comprises the following steps:
the data automatic filling module is connected with the chronic disease diagnosis and treatment system to obtain clinic chronic disease diagnosis and treatment information;
the clinic diagnosis and treatment information of chronic diseases at least comprises: the patient visit department, disease name, disease code, operation and operation name and operation code.
Further, in the method for filling in the medical insurance settlement list, the automatic data filling module fills in the hospitalization medical information, and the method comprises the following steps:
the data automatic filling module is in butt joint with an EMR system to obtain structured homepage document information, and hospital diagnosis and treatment information is analyzed from the homepage document;
the hospitalization medical information at least comprises: hospitalization type, admission route, treatment category, time of admission, admission subject, referral subject, time of discharge, discharge subject, actual number of days of hospitalization, and disease code.
Further, in the method for filling in the medical insurance settlement list, the automatic data filling module fills in medical charging information, and the method includes:
the automatic data filling module is connected with a hospital fee system to acquire medical charging information of a patient;
the medical charging information includes at least: including bed fees, examination fees, test fees, treatment fees, surgery fees, nursing fees, health materials fees, western medicine fees, decoction piece fees, patent fees, general treatment fees, registration fees, other fees, supplementary medical insurance payments, personal burdens, and other payments.
Further, in the method for filling the medical insurance settlement list, the basic information, the clinic slow and special disease diagnosis and treatment information, the hospitalization diagnosis and treatment information and the medical charging information are modified and/or filled through the intelligent voice modification and/or filling module, and the method comprises the following steps:
acquiring voice of medical staff, and determining a text according to the voice;
determining whether to modify and/or fill in through text analysis text;
and if the modification and/or filling is determined, reassigning the fields of the basic information, the clinic slow and special medical information, the hospitalization medical information and the medical charging information.
Further, in the method for filling the medical insurance settlement list, the DIP big data analysis module obtains DIP entry component value recommendations according with the local hospital according to the diagnosis codes and the operation codes, and the medical staff recommends and adjusts the main diagnosis codes and the operation codes of the medical insurance settlement list according to the DIP entry component values, and the method comprises the following steps:
training a DIP value grouping table according with the actual condition of the local hospital through local data medical insurance DIP grouping data of the hospital;
the DIP analysis module obtains DIP entry component value recommendation according with local hospitals according to the diagnosis code and the operation code of the homepage document, and medical staff adjust the main diagnosis code and the operation code of a medical insurance settlement list according to the value recommendation.
In a second aspect, an embodiment of the present application further provides a device for filling a medical insurance settlement list, including:
an automatic filling module: the system is used for filling basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charge;
modification and/or filling module: the intelligent voice modification and/or filling module is used for modifying and/or filling the basic information, the clinic slow and special disease diagnosis and treatment information, the hospital diagnosis and treatment information and the medical charging information when the basic information, the clinic slow and special disease diagnosis and treatment information, the hospital diagnosis and treatment information and the medical charging information need to be modified and/or filled;
an analysis adjustment module: and the main diagnostic code and the operation code which are used for obtaining the DIP component value recommendation according with the local hospital according to the diagnostic code and the operation code by the DIP big data analysis module, and the medical staff recommend and adjust the medical insurance settlement list according to the DIP component value recommendation.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor and a memory;
the processor is used for executing any one of the filling methods of the medical insurance settlement list by calling the program or the instruction stored in the memory.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores a program or instructions, and the program or instructions cause a computer to execute any one of the above methods for filling out a medical insurance settlement list.
The embodiment of the application has the advantages that: the application relates to a filling method and device of a medical insurance settlement list, electronic equipment and a storage medium, wherein the method comprises the following steps: the automatic data filling module fills basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charging information; when basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charge information need to be modified and/or filled in, the basic information, the clinic slow and special disease diagnosis and treatment information, the hospitalization diagnosis and treatment information and the medical charge information are modified and/or filled in through an intelligent voice modification and/or filling module; the DIP big data analysis module obtains a DIP component value recommendation according with a local hospital according to the diagnosis code and the operation code, and medical staff recommend and adjust a main diagnosis code and an operation code of a medical insurance settlement list according to the DIP component value. According to the method and the device, the intelligent automatic filling of the medical insurance settlement list and the intelligent recommendation of the DIP value are realized through the automatic data filling module, the intelligent voice modification and/or filling module and the DIP big data analysis module, the trouble of medical staff in selecting the DIP value is solved, the filling efficiency of the medical insurance settlement list is improved, the workload of the medical staff is reduced, and the accuracy of the medical insurance DIP entering the group is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the conventional technologies of the present application, the drawings used in the descriptions of the embodiments or the conventional technologies will be briefly introduced below, it is obvious that the drawings in the following descriptions are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a first schematic diagram illustrating a method for filling a medical insurance settlement list according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating a filling method of a medical insurance settlement list according to an embodiment of the present application;
fig. 3 is a schematic diagram of a device for filling a medical insurance settlement list according to an embodiment of the present application;
fig. 4 is a schematic block diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the present application are described in detail below with reference to the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of embodiment in many different forms than that described herein and those skilled in the art will be able to make similar modifications without departing from the spirit of the application and therefore should not be limited to the specific embodiments disclosed below.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Fig. 1 is a first schematic view illustrating a method for filling a medical insurance settlement list according to an embodiment of the present application.
In a first aspect, an embodiment of the present application provides a method for filling a medical insurance settlement list, which is applied to a system including an automatic data filling module, an intelligent voice modification and/or filling module, and a DIP big data analysis module, and includes three steps S101 to S103 with reference to fig. 1:
s101: the data automatic filling module fills basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charging information.
Specifically, in the embodiment of the present application, the specific steps of the data automatic filling module for filling the basic information, the clinic slow and specific medical information, the hospitalization medical information and the medical charging information are described in detail below.
S102: when the basic information, the clinic slow and special disease diagnosis and treatment information, the in-patient diagnosis and treatment information and the medical charging information need to be modified and/or filled, the basic information, the clinic slow and special disease diagnosis and treatment information, the in-patient diagnosis and treatment information and the medical charging information are modified and/or filled through an intelligent voice modification and/or filling module.
Specifically, in the embodiment of the present application, after the data automatic filling module fills the basic information, the outpatient slow and special medical information, the in-patient medical information and the medical charging information, the medical staff performs manual review, and when the basic information, the outpatient slow and special medical information, the in-patient medical information and the medical charging information need to be modified and/or filled, the basic information, the outpatient slow and special medical information, the in-patient medical information and the medical charging information are modified and/or filled through the intelligent voice modification and/or filling module, and the specific modification and/or filling steps are introduced below.
It should be understood that the intelligent filling of the medical insurance settlement list is realized through the automatic data filling module and the intelligent voice modification and/or filling module, the filling efficiency of the medical insurance settlement list is improved, and the workload of medical staff is reduced.
S103: the DIP big data analysis module obtains a DIP component value recommendation according with a local hospital according to the diagnosis code and the operation code, and medical staff recommend and adjust a main diagnosis code and an operation code of a medical insurance settlement list according to the DIP component value.
Specifically, in the embodiment of the application, a DIP score grouping table according with the actual situation of the local hospital is trained through the local large amount of data medical insurance DIP grouping data of the hospital, the DIP score grouping table of the actual situation of the local hospital comprises a diagnosis code, an operation code and a score, and medical staff recommend and adjust a main diagnosis code and an operation code of a medical insurance settlement list according to the DIP grouping value, and it should be understood that different costs of grouping values are different.
Further, in the method for filling in a medical insurance settlement list, the automatic data filling module fills in basic information, and the method comprises the following steps:
the data automatic filling module is connected with an EMR system to obtain structured homepage document information, and basic information is analyzed from the homepage document;
the basic information includes at least: name, gender, date of birth, age, nationality, patient certificate category, patient certificate number, occupation, current address, work unit and address, unit phone, zip code, contact name, relationship, address, phone, medical insurance type, special personnel type, address, neonatal admission type, and neonatal birth weight.
Further, in the method for filling out the medical insurance settlement list, the automatic data filling module fills out clinic slow and special disease diagnosis and treatment information, and the method comprises the following steps:
the data automatic filling module is connected with the chronic disease diagnosis and treatment system to obtain clinic chronic disease diagnosis and treatment information;
the clinic diagnosis and treatment information of chronic diseases at least comprises: the patient visit department, disease name, disease code, operation and operation name and operation code.
Further, in the method for filling in the medical insurance settlement list, the automatic data filling module fills in the hospitalization medical information, and the method comprises the following steps:
the data automatic filling module is in butt joint with an EMR system to obtain structured homepage document information, and hospital diagnosis and treatment information is analyzed from the homepage document;
the hospitalization medical information at least comprises: hospitalization type, admission route, treatment category, time of admission, admission subject, referral subject, time of discharge, discharge subject, actual number of days of hospitalization, and disease code.
Further, in the method for filling in the medical insurance settlement list, the automatic data filling module fills in medical charging information, and the method includes:
the automatic data filling module is connected with a hospital fee system to acquire medical charging information of a patient;
the medical charging information includes at least: including bed fees, examination fees, test fees, treatment fees, surgery fees, nursing fees, health materials fees, western medicine fees, decoction piece fees, patent fees, general treatment fees, registration fees, other fees, supplementary medical insurance payments, personal burdens, and other payments.
Fig. 2 is a schematic diagram illustrating a method for filling a medical insurance settlement list according to an embodiment of the present application.
Further, in the method for filling out the medical insurance settlement list, the basic information, the clinic slow and special disease diagnosis and treatment information, the hospitalization diagnosis and treatment information and the medical charging information are modified and/or filled in through the intelligent voice modification and/or filling module, and with reference to fig. 2, the method comprises three steps from S201 to S203:
s201: acquiring voice of medical staff, and determining a text according to the voice;
s202: determining whether to modify and/or fill in through text analysis text;
s203: and if the modification and/or filling is determined, reassigning the fields of the basic information, the clinic slow and special medical information, the hospitalization medical information and the medical charging information.
Specifically, in the embodiment of the application, when a medical worker finds that some information of basic information, clinic slow and special disease diagnosis and treatment information, hospital stay diagnosis and treatment information and medical charge information needs to be modified and/or filled, voice can be input through an intelligent voice microphone, the intelligent voice microphone is translated into a text through semantics, whether modification and/or filling is performed or not is determined through text analysis keywords, whether filling or modification is performed or not is analyzed by the medical worker, and then basic information, clinic slow and special disease diagnosis and treatment information, hospital stay diagnosis and treatment information and medical charge information fields in a medical insurance settlement list are re-assigned.
Further, in the method for filling in a medical insurance settlement list, the DIP big data analysis module obtains a DIP entry component value recommendation conforming to a local hospital according to the diagnosis code and the operation code, and the medical staff recommends and adjusts the main diagnosis code and the operation code of the medical insurance settlement list according to the DIP entry component value, including:
training a DIP value grouping table according with the actual condition of the local hospital through local data medical insurance DIP grouping data of the hospital;
the DIP analysis module obtains DIP entry component value recommendation according with local hospitals according to the diagnosis code and the operation code of the homepage document, and medical staff adjust the main diagnosis code and the operation code of a medical insurance settlement list according to the value recommendation.
Specifically, in the embodiment of the application, intelligent recommendation of DIP entering component values is realized through a DIP big data analysis module, the trouble of medical staff in selecting DIP values is solved, and the accuracy of medical insurance DIP entering groups is improved.
Fig. 3 is a schematic view of a device for filling a medical insurance settlement list according to an embodiment of the present application.
In a second aspect, an embodiment of the present application further provides a device for filling a medical insurance settlement list, which, with reference to fig. 3, includes:
the auto-fill module 301: the system is used for filling basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charge.
Specifically, in the embodiment of the present application, the specific steps of the automatic filling module 301 for filling the basic information, the clinic slow-stage and special-stage medical information, the hospitalization medical information and the medical charging information are described in detail above.
Modification and/or filling module 302: the intelligent voice modification and/or filling module is used for modifying and/or filling the basic information, the outpatient chronic disease diagnosis and treatment information, the hospitalization diagnosis and treatment information and the medical charging information when the basic information, the outpatient chronic disease diagnosis and treatment information, the hospitalization diagnosis and treatment information and the medical charging information need to be modified and/or filled.
Specifically, in the embodiment of the present application, after the automatic data filling module 301 fills in the basic information, the outpatient slow and special medical information, the in-patient medical information and the medical charging information, the medical staff performs manual review, and when the basic information, the outpatient slow and special medical information, the in-patient medical information and the medical charging information need to be modified and/or filled, the basic information, the outpatient slow and special medical information, the in-patient medical information and the medical charging information are modified and/or filled through the modification and/or filling module 302, and the specific modification and/or filling steps are described below.
It should be understood that the present application realizes intelligent filling of the medical insurance settlement list through the automatic filling module 301 and the modification and/or filling module 302, which improves the filling efficiency of the medical insurance settlement list and reduces the workload of medical staff.
The analysis adjustment module 303: and the main diagnostic code and the operation code which are used for obtaining the DIP component value recommendation according with the local hospital according to the diagnostic code and the operation code by the DIP big data analysis module, and the medical staff recommend and adjust the medical insurance settlement list according to the DIP component value recommendation.
Specifically, in the embodiment of the present application, the analysis and adjustment module 303 trains a DIP value grouping table according with the actual situation of the local hospital through the local large amount of data medical insurance DIP grouping data of the hospital, the DIP value grouping table of the actual situation of the local hospital includes a diagnosis code, an operation code and a score, and medical staff recommends and adjusts a main diagnosis code and an operation code of a medical insurance settlement list according to the DIP value grouping, and it should be understood that different costs of grouping values are different.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor and a memory;
the processor is used for executing any one of the filling methods of the medical insurance settlement list by calling the program or the instruction stored in the memory.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores a program or instructions, and the program or instructions cause a computer to execute any one of the above methods for filling out a medical insurance settlement list.
Fig. 4 is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure.
As shown in fig. 4, the electronic apparatus includes: at least one processor 401, at least one memory 402, and at least one communication interface 403. The various components in the electronic device are coupled together by a bus system 404. A communication interface 403 for information transmission with an external device. It is understood that the bus system 404 is used to enable communications among the components. The bus system 404 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, the various buses are labeled as bus system 404 in fig. 4.
It will be appreciated that the memory 402 in this embodiment can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory.
In some embodiments, memory 402 stores the following elements, executable units or data structures, or a subset thereof, or an expanded set thereof: an operating system and an application program.
The operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, and is used for implementing various basic services and processing hardware-based tasks. The application programs, including various application programs such as a Media Player (Media Player), a Browser (Browser), etc., are used to implement various application services. The program for implementing any method of the method for filling the medical insurance settlement list provided by the embodiment of the application can be contained in the application program.
In this embodiment of the application, the processor 401 calls a program or an instruction stored in the memory 402, specifically, may be a program or an instruction stored in an application program, and the processor 401 is configured to execute the steps of each embodiment of the method for filling out a medical insurance settlement list provided in this embodiment of the application.
The automatic data filling module fills basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charging information;
when basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charge information need to be modified and/or filled in, the basic information, the clinic slow and special disease diagnosis and treatment information, the hospitalization diagnosis and treatment information and the medical charge information are modified and/or filled in through an intelligent voice modification and/or filling module;
the DIP big data analysis module obtains a DIP component value recommendation according with a local hospital according to the diagnosis code and the operation code, and medical staff recommend and adjust a main diagnosis code and an operation code of a medical insurance settlement list according to the DIP component value.
Any method of the method for filling out the medical insurance settlement list provided by the embodiment of the application can be applied to the processor 401, or can be implemented by the processor 401. The processor 401 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 401. The Processor 401 may be a general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The steps of any method in the method for filling the medical insurance settlement list provided by the embodiment of the application can be directly implemented by a hardware decoding processor or implemented by combining hardware and software units in the hardware decoding processor. The software elements may be located in ram, flash, rom, prom, or eprom, registers, among other storage media that are well known in the art. The storage medium is located in the memory 402, and the processor 401 reads the information in the memory 402, and completes the steps of a method for filling out the medical insurance settlement list by combining the hardware of the processor.
Those skilled in the art will appreciate that although some embodiments described herein include some features included in other embodiments instead of others, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments.
Those skilled in the art will appreciate that the description of each embodiment has a respective emphasis, and reference may be made to the related description of other embodiments for those parts of an embodiment that are not described in detail.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A filling method of a medical insurance settlement list is applied to a system comprising an automatic data filling module, an intelligent voice modification and/or filling module and a DIP big data analysis module, and is characterized by comprising the following steps:
the data automatic filling module fills basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charging information;
when the basic information, the clinic slow and special disease diagnosis and treatment information, the hospitalization diagnosis and treatment information and the medical charging information need to be modified and/or filled, modifying and/or filling the basic information, the clinic slow and special disease diagnosis and treatment information, the hospitalization diagnosis and treatment information and the medical charging information through an intelligent voice modification and/or filling module;
the DIP big data analysis module obtains DIP component value recommendation according with local hospitals according to the diagnosis codes and the operation codes, and medical staff recommend and adjust main diagnosis codes and operation codes of medical insurance settlement lists according to the DIP component value recommendation.
2. The method as claimed in claim 1, wherein the automatic data filling module fills basic information, comprising:
the data automatic filling module is in butt joint with an EMR system to obtain structured homepage document information, and basic information is analyzed from the homepage document;
the basic information at least includes: name, gender, date of birth, age, nationality, patient credential category, patient credential number, occupation, address of living, work unit and address, unit phone, zip code, contact name, relationship, address, phone, type of medical insurance, type of special person, place of participation, type of neonatal admission, and neonatal weight.
3. The method for filling out medical insurance settlement checklists as claimed in claim 1, wherein the automatic data filling module fills out clinic slow disease diagnosis and treatment information, comprising:
the data automatic filling module is connected with a chronic disease diagnosis and treatment system to obtain clinic chronic disease diagnosis and treatment information;
the clinic diagnosis and treatment information of chronic diseases at least comprises the following information: the patient visit department, disease name, disease code, operation and operation name and operation code.
4. The method for filling in medical insurance settlement lists according to claim 1, wherein the data automatic filling module fills in hospitalization medical information, and comprises:
the data automatic filling module is in butt joint with an EMR system to obtain structured homepage document information, and hospital diagnosis and treatment information is analyzed from the homepage document;
the hospitalization diagnosis and treatment information at least comprises: hospitalization type, admission route, treatment category, time of admission, admission subject, referral subject, time of discharge, discharge subject, actual number of hospitalizations, and disease code.
5. The method as claimed in claim 1, wherein the automatic data filling module fills medical charging information, comprising:
the data automatic filling module is connected with a hospital expense system to acquire medical charging information of a patient;
the medical charging information includes at least: including bed fees, examination fees, test fees, treatment fees, surgery fees, nursing fees, health materials fees, western medicine fees, decoction piece fees, patent fees, general treatment fees, registration fees, other fees, supplementary medical insurance payments, personal burdens, and other payments.
6. The method as claimed in claim 1, wherein the modifying and/or filling of the basic information, the clinic slow diagnosis and treatment information, the hospitalization treatment information and the medical charging information by the intelligent voice modifying and/or filling module comprises:
acquiring voice of medical staff, and determining a text according to the voice;
determining whether to modify and/or fill in through text analysis text;
and if the basic information, the clinic slow-specific medical diagnosis and treatment information, the hospitalization diagnosis and treatment information and the medical charging information field are re-assigned.
7. The method as claimed in claim 1, wherein the DIP big data analysis module obtains a DIP entry component value recommendation conforming to a local hospital according to the diagnosis code and the operation code, and the medical staff adjusts the main diagnosis code and the operation code of the medical insurance settlement list according to the DIP entry component value recommendation, comprising:
training a DIP value grouping table according with the actual condition of the local hospital through local data medical insurance DIP grouping data of the hospital;
the DIP analysis module obtains DIP entry component value recommendation according with local hospitals according to the diagnosis code and the operation code of the homepage document, and medical staff adjust the main diagnosis code and the operation code of a medical insurance settlement list according to the value recommendation.
8. A filling device of a medical insurance settlement list is applied to a system comprising an automatic data filling module, an intelligent voice modification and/or filling module and a DIP big data analysis module, and is characterized by comprising:
an automatic filling module: the automatic data filling module is used for filling basic information, clinic slow and special disease diagnosis and treatment information, hospitalization diagnosis and treatment information and medical charging;
modifying and/or filling module: the system comprises a basic information processing module, an outpatient clinic slow disease diagnosis and treatment information processing module and a medical charging information processing module, wherein the basic information processing module is used for modifying and/or filling the basic information, the outpatient clinic slow disease diagnosis and treatment information, the inpatient clinic diagnosis and treatment information and the medical charging information through an intelligent voice modification and/or filling module when the basic information, the outpatient clinic slow disease diagnosis and treatment information, the inpatient clinic slow disease diagnosis and treatment information and the medical charging information need to be modified and/or filled;
an analysis adjustment module: and the main diagnostic code and the operation code which are used for obtaining the DIP entrance component value recommendation according with the local hospital by the DIP big data analysis module according to the diagnostic code and the operation code, and the medical staff recommend and adjust the medical insurance settlement list according to the DIP entrance component value.
9. An electronic device, comprising: a processor and a memory;
the processor is used for executing the method for filling out the medical insurance settlement list according to any one of claims 1 to 7 by calling the program or the instructions stored in the memory.
10. A computer-readable storage medium storing a program or instructions for causing a computer to execute a method of filling out a medical insurance settlement list according to any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210686777.2A CN115018462A (en) | 2022-06-17 | 2022-06-17 | Filling method and device of medical insurance settlement list, electronic equipment and storage medium |
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| CN202210686777.2A CN115018462A (en) | 2022-06-17 | 2022-06-17 | Filling method and device of medical insurance settlement list, electronic equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115662646A (en) * | 2022-12-08 | 2023-01-31 | 武汉金豆医疗数据科技有限公司 | Construction method and device of medical decision platform, electronic equipment and storage medium |
| CN118643072A (en) * | 2024-08-14 | 2024-09-13 | 四川省肿瘤医院 | Recommendation method and system suitable for medical insurance diagnosis and treatment project settlement mode |
-
2022
- 2022-06-17 CN CN202210686777.2A patent/CN115018462A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115662646A (en) * | 2022-12-08 | 2023-01-31 | 武汉金豆医疗数据科技有限公司 | Construction method and device of medical decision platform, electronic equipment and storage medium |
| CN118643072A (en) * | 2024-08-14 | 2024-09-13 | 四川省肿瘤医院 | Recommendation method and system suitable for medical insurance diagnosis and treatment project settlement mode |
| CN118643072B (en) * | 2024-08-14 | 2024-10-22 | 四川省肿瘤医院 | Recommendation method and system suitable for medical insurance diagnosis and treatment project settlement mode |
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