CN113764057A - Method and device for generating diagnosis prescription - Google Patents
Method and device for generating diagnosis prescription Download PDFInfo
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- CN113764057A CN113764057A CN202010484065.3A CN202010484065A CN113764057A CN 113764057 A CN113764057 A CN 113764057A CN 202010484065 A CN202010484065 A CN 202010484065A CN 113764057 A CN113764057 A CN 113764057A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 49
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- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 28
- 238000004140 cleaning Methods 0.000 claims description 13
- 238000013507 mapping Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 3
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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
- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
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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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
Abstract
The embodiment of the application provides a method and a device for generating a diagnosis prescription, wherein the method comprises the following steps: acquiring medical record information of a patient; determining a corresponding prescription template according to the medical record information; receiving input information of a doctor; and generating a diagnosis prescription according to the input information and the prescription template. In the embodiment of the application, the corresponding prescription template is generated according to the medical record information of the patient, the doctor makes a diagnosis prescription according to the prescription template, and the doctor with less auxiliary experience of the prescription template makes a treatment scheme, so that the doctor can provide the optimal diagnosis prescription and provide the treatment effect for the patient.
Description
Technical Field
The embodiment of the application relates to the technical field of artificial intelligence, in particular to a method and a device for generating a diagnosis prescription.
Background
The current process of a doctor prescribing a patient for a diagnosis includes: by asking or some simple examination to know the patient's symptoms, judging the condition in conjunction with the symptoms, and making an appropriate diagnostic prescription based on the condition. In the process, whether the disease is queried or the treatment scheme is determined based on the disease, the doctor experience is mainly relied on, and the doctor who has long working time and is experienced with abundant experience can often give the best diagnosis prescription, but the doctor who has short working time and is not experienced with abundant experience can provide the diagnosis prescription which is not the best scheme, so that the treatment effect on the patient is poor.
Disclosure of Invention
The embodiment of the application aims to provide a method and a device for generating a diagnosis prescription, which can solve the problem that the existing diagnosis prescription is judged mainly by the experience of a doctor, so that the treatment effect is poor easily.
In order to solve the technical problem, the present application is implemented as follows:
in a first aspect, embodiments of the present application provide a method for generating a diagnostic prescription, the method including:
acquiring medical record information of a patient;
determining a corresponding prescription template according to the medical record information;
receiving input information of a doctor;
and generating a diagnosis prescription according to the input information and the prescription template.
Optionally, the acquiring medical record information of the patient includes:
generating a medical record template, wherein the medical record template comprises a plurality of preset medical record information options;
acquiring the selection input of a doctor on at least one target medical record information option in the plurality of preset medical record information options;
and generating the medical record information according to the target medical record information option.
Optionally, determining a corresponding prescription template according to the medical record information includes:
performing data cleaning on the medical record information to obtain standard data;
matching prescription data corresponding to the standard data in a diagnostic database according to the standard data;
and generating the prescription template according to the prescription data.
Wherein the standard data is disease data related to disease of the patient, and the diagnosis database stores mapping relationship between the disease data and the prescription data in advance.
Optionally, after generating the prescription template according to the prescription data, the method further comprises:
acquiring a target drug used in the prescription template;
inquiring medication information related to the target medicine in a medicine database;
checking the prescription template according to the medication information;
the drug database stores the medication information of a plurality of drugs in advance, wherein the medication information comprises at least one of the following items:
medicine storage;
the drug expiration date;
a method for using the medicine.
Optionally, after generating a diagnosis prescription according to the input information and the prescription template, the method further comprises:
obtaining a frequency of use of the diagnostic prescription;
feeding back the use frequency;
configuring a push weight of the prescription template according to the frequency of use.
In a second aspect, an embodiment of the present application provides an apparatus for generating a diagnostic prescription, the apparatus including:
the first acquisition module is used for acquiring medical record information of a patient;
the determining module is used for determining a corresponding prescription template according to the medical record information;
the receiving module is used for receiving input information of a doctor;
and the generating module is used for generating a diagnosis prescription according to the input information and the prescription template.
Optionally, the first obtaining module includes:
the medical record generating device comprises a first generating unit, a second generating unit and a processing unit, wherein the first generating unit is used for generating a medical record template which comprises a plurality of preset medical record information options;
the acquisition unit is used for acquiring the selection input of a doctor on at least one target medical record information option in the plurality of preset medical record information options;
and the second generation unit is used for generating the medical record information according to the target medical record information option.
Optionally, the determining module includes:
the cleaning unit is used for carrying out data cleaning on the medical record information to obtain standard data;
the matching unit is used for matching prescription data corresponding to the standard data in a diagnosis database according to the standard data;
and the third generation unit is used for generating the prescription template according to the prescription data.
Wherein the standard data is disease data related to disease of the patient, and the diagnosis database stores mapping relationship between the disease data and the prescription data in advance.
Optionally, the apparatus further comprises:
the second acquisition module is used for acquiring the target medicine used in the prescription template;
the query module is used for querying the medication information related to the target medicine in a medicine database;
the checking module is used for checking the prescription template according to the medication information;
the drug database stores the medication information of a plurality of drugs in advance, wherein the medication information comprises at least one of the following items:
medicine storage;
the drug expiration date;
a method for using the medicine.
Optionally, the apparatus further comprises:
a third obtaining module for obtaining the frequency of use of the diagnostic prescription;
a feedback module for feeding back the usage frequency;
and the configuration module is used for configuring the pushing weight of the prescription template according to the use frequency.
In the embodiment of the application, the corresponding prescription template is generated according to the medical record information of the patient, the doctor makes a diagnosis prescription according to the prescription template, and the doctor with less auxiliary experience of the prescription template makes a treatment scheme, so that the doctor can provide the optimal diagnosis prescription and provide the treatment effect for the patient.
Drawings
FIG. 1 is a schematic flow chart of a method for generating a diagnostic prescription according to an embodiment of the present application;
fig. 2 is a schematic view l of an application scenario provided in the embodiment of the present application;
fig. 3 is a schematic structural diagram of an apparatus for generating a diagnostic prescription according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or described herein. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.
The method for generating a diagnosis prescription provided by the embodiments of the present application is described in detail below with reference to the accompanying drawings by specific embodiments and application scenarios thereof.
Referring to fig. 1, an embodiment of the present application provides a method of generating a diagnostic prescription, the method including:
step 101: acquiring medical record information of a patient;
in the embodiment of the present application, the medical record information of the patient can be acquired in various ways, for example: acquiring medical record information of a patient by calling historical treatment information of the patient; or acquiring medical record information filled by the patient through a registration system when the patient registers; or the doctor inquires about the patient and records the medical record information according to the inquiry content.
Optionally, in some embodiments, acquiring medical record information of the patient specifically includes: generating a medical record template, wherein the medical record template comprises a plurality of preset medical record information options; acquiring selection input of a doctor on at least one target medical record information option in a plurality of preset medical record information options; and generating medical record information according to the target medical record information option.
In this embodiment of the present application, the system may automatically generate a medical record template, where the template is pre-configured with a plurality of preset medical record information options, for example: name, sex, age, weight, height, body temperature, blood pressure, past medical history, allergy history, medication history, chief complaints, etc. Through a plurality of preset medical record information options, on one hand, a doctor can automatically generate the medical record of the patient only by filling corresponding contents in the corresponding options, and the operation of the doctor is simplified; on the other hand, for doctors with less experience, the items in the medical record template can effectively remind the doctors of the contents to be inquired, and certain missing contents to be inquired due to lack of experience of the doctors are avoided.
It is understood that medical record templates can be divided into two broad categories: the medical record information management method comprises a basic template and a special template, wherein the basic template is used for patients of all categories, and preset medical record information options in the template mainly aim at some conventional medical record information, such as: weight, height, blood pressure, etc.; special templates are used for patients targeted by different subjects, such as: for ophthalmology, the preset medical record information options in the medical record template can also comprise options related to ophthalmology, such as vision, whether the patient has trachoma, whether the patient has cataract and the like.
Furthermore, the doctor can also add options by editing on the basis of a medical record template pre-generated by the system, so that a personal exclusive template is obtained, the medical record template is more suitable for the use habit of the doctor, and the medical record information of the patient can be more flexibly obtained.
Step 102: determining a corresponding prescription template according to the medical record information;
in the embodiment of the application, the prescription module refers to a diagnosis prescription automatically generated according to medical record information of a patient, and for some common diseases, the treatment means is simple and fixed, so that a prescription template can be directly and correspondingly generated based on the medical record information, and the diagnosis efficiency of doctors is improved conveniently.
Specifically, the determining the prescription template includes: performing data cleaning on medical record information to obtain standard data; matching prescription data corresponding to the standard data in a diagnostic database according to the standard data; a prescription template is generated based on the prescription data. Wherein the standard data is disease data related to the disease of the patient, and the diagnosis database stores the mapping relation between the disease data and the prescription data in advance.
In the embodiment of the application, it is considered that the medical record information may include some information with low association with the disease, which may affect the generation of the prescription template, and therefore, data cleaning needs to be performed on the medical record information first, specifically, a cleaning rule may be configured in advance, and nonstandard data is discarded or modified, and disease data related to the disease of the patient, that is, standard data, is left. And matching prescription data corresponding to the standard data in the diagnosis database according to the obtained standard data, thereby generating a prescription template.
The diagnosis database is a database which is configured and generated in advance, common treatment methods for various diseases are stored in advance, mapping relations between disease data and prescription data are stored in advance according to different treatment schemes for different diseases, and therefore after medical record information of a patient is obtained, a corresponding prescription template can be obtained directly through matching in the diagnosis database.
Optionally, in some embodiments, after generating the prescription template from the prescription data, the method further comprises: acquiring a target drug used in a prescription template; inquiring medication information related to the target medicine in a medicine database; checking the prescription template according to the medication information; the medicine database stores the medication information of a plurality of medicines in advance, and the medication information comprises at least one of the following items: medicine storage; the drug expiration date; a method for using the medicine.
In the embodiment of the present application, since the prescription template is generated based on the medical record information, the drugs used in the prescription template are only selected according to the disease condition of the patient, but in the practical application process, other factors need to be considered, such as whether there is contraindication between the selected drugs, whether the drug inventory of the hospital pharmacy is sufficient, and the like.
Specifically, a drug database is configured in advance, and the drug database may be a statistical database used by a hospital pharmacy or a database communicated with the hospital pharmacy database, and can acquire drug related information of the pharmacy in real time, and at the same time, drug information of various drugs is stored in the drug database. In this way, after the prescription template is generated, the medication schemes in the prescription template need to be checked first, specifically, the medication information of the target drugs in the prescription template is called from the drug database, and whether contraindications exist among the drugs used in the prescription template is determined according to the medication information. The drug in the pharmacy is stored and the storage period of the drug meets the requirement, so that the drug in the prescription template is more reasonable and safer.
Step 103: receiving input information of a doctor;
step 104: and generating a diagnosis prescription according to the input information and the prescription template.
In the embodiment of the present application, the input information of the doctor may be adaptive adjustment for the content in the template, for example, the dosage is adjusted according to the actual situation of the patient, and the input information of the doctor may also be a definite input for the content in the template, that is, the treatment scheme in the template may be directly provided with a diagnosis prescription without modification.
In the embodiment of the application, the corresponding prescription template is generated according to the medical record information of the patient, the doctor makes a diagnosis prescription according to the prescription template, and the doctor with less auxiliary experience of the prescription template makes a treatment scheme, so that the doctor can provide the optimal diagnosis prescription and provide the treatment effect for the patient.
Further, in some embodiments, after generating the diagnostic prescription, the method further comprises: acquiring the use frequency of a diagnosis prescription; feeding back the use frequency; and configuring the push weight of the prescription template according to the use frequency.
In the embodiment of the application, after the diagnosis prescription is issued each time, the use frequency of the diagnosis prescription is counted and fed back, and the pushing weight of the prescription template is continuously adjusted according to the use frequency of each prescription template, so that a doctor can autonomously learn statistics along with the use of the prescription template, and determine which prescription template is selected to have the optimal treatment scheme when aiming at various medical record information, thereby continuously improving the accuracy of generating the diagnosis prescription.
Referring to fig. 2, a method flow for generating a diagnosis prescription in an actual application scenario is shown, and the specific flow is as follows:
(1) the platform extracts desensitization electronic medical record information and prescription information of the clinic;
(2) cleaning, standardizing and storing the extracted electronic medical records and prescription data;
(3) providing a data source for a logic layer (algorithm, rule and decision) by combining all electronic medical records and prescription data, and generating a corresponding prescription template;
(4) the checking module extracts the generated prescription template data in real time and verifies the generated prescription template data, wherein the generated prescription template data comprises the reasonability of a prescription, medicine collocation contraindications in the prescription and the like;
(5) with the continuous increase of data volume, the algorithm is continuously optimized and improved through the technologies such as machine learning and the like, and meanwhile, the generated prescription is optimized and adjusted;
(6) and pushing the passed prescription template to each clinic. In a clinic system, after a doctor inputs the conditions of patient chief complaints, medical history, diagnosis and the like, the system automatically pushes 5 sets of prescription templates with the highest weight for the doctor to select;
(7) after the doctor selects the prescription template, the doctor can modify and edit the prescription template, and the system simultaneously records the modified and edited content as an important data condition for the background to optimize the prescription template.
In the embodiment of the application, a B/S + C/S framework and a cloud deployment framework are adopted on the basis of electronic medical record data, an AI algorithm, a medicine knowledge base and a diagnosis knowledge base, and a standardized prescription template is formed by extracting the electronic medical record data.
Specifically, the business process includes: the manager configures a data extraction rule; the system automatically extracts the electronic medical record data of each clinic according to the rules; cleaning (eliminating or modifying nonstandard data) the collected data, and storing; the logic layer calls the cleaned data in real time and generates a prescription template through rules, an AI algorithm, medicines and a diagnosis knowledge base; the verification module calls the generated prescription template in real time and verifies the template; pushing the prescription template to a doctor for use; the doctor can selectively use the prescription template and adjust the prescription template; and carrying out data feedback on the adjusted template and the template with the highest use frequency to form a closed loop.
It should be noted that, in the method for generating a diagnostic prescription provided in the embodiment of the present application, the executing entity may be an apparatus for generating a diagnostic prescription, or a control module in the apparatus for generating a diagnostic prescription for executing the method for loading a generated diagnostic prescription. In the embodiment of the present application, a method for generating a diagnostic prescription, which is provided by the embodiment of the present application, is described by taking an example in which a device for generating a diagnostic prescription executes a method for loading and generating a diagnostic prescription.
Referring to fig. 3, an embodiment of the present application provides an apparatus 300 for generating a diagnostic prescription, where the apparatus 300 includes:
a first obtaining module 301, configured to obtain medical record information of a patient;
a determining module 302, configured to determine a corresponding prescription template according to the medical record information;
a receiving module 303, configured to receive input information of a doctor;
a generating module 304, configured to generate a diagnosis prescription according to the input information and the prescription template.
Optionally, the first obtaining module 301 includes:
the medical record generating device comprises a first generating unit, a second generating unit and a processing unit, wherein the first generating unit is used for generating a medical record template which comprises a plurality of preset medical record information options;
the acquisition unit is used for acquiring the selection input of a doctor on at least one target medical record information option in the plurality of preset medical record information options;
and the second generation unit is used for generating the medical record information according to the target medical record information option.
Optionally, the determining module 302 includes:
the cleaning unit is used for carrying out data cleaning on the medical record information to obtain standard data;
the matching unit is used for matching prescription data corresponding to the standard data in a diagnosis database according to the standard data;
and the third generation unit is used for generating the prescription template according to the prescription data.
Wherein the standard data is disease data related to disease of the patient, and the diagnosis database stores mapping relationship between the disease data and the prescription data in advance.
Optionally, the apparatus 300 further comprises:
the second acquisition module is used for acquiring the target medicine used in the prescription template;
the query module is used for querying the medication information related to the target medicine in a medicine database;
the checking module is used for checking the prescription template according to the medication information;
the drug database stores the medication information of a plurality of drugs in advance, wherein the medication information comprises at least one of the following items:
medicine storage;
the drug expiration date;
a method for using the medicine.
Optionally, the apparatus 300 further comprises:
a third obtaining module for obtaining the frequency of use of the diagnostic prescription;
a feedback module for feeding back the usage frequency;
and the configuration module is used for configuring the pushing weight of the prescription template according to the use frequency.
In the embodiment of the application, the corresponding prescription template is generated according to the medical record information of the patient, the doctor makes a diagnosis prescription according to the prescription template, and the doctor with less auxiliary experience of the prescription template makes a treatment scheme, so that the doctor can provide the optimal diagnosis prescription and provide the treatment effect for the patient.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method of generating a diagnostic prescription, the method comprising:
acquiring medical record information of a patient;
determining a corresponding prescription template according to the medical record information;
receiving input information of a doctor;
and generating a diagnosis prescription according to the input information and the prescription template.
2. The method of claim 1, wherein the obtaining medical record information of the patient comprises:
generating a medical record template, wherein the medical record template comprises a plurality of preset medical record information options;
acquiring the selection input of a doctor on at least one target medical record information option in the plurality of preset medical record information options;
and generating the medical record information according to the target medical record information option.
3. The method of claim 1, wherein determining a corresponding prescription template based on the medical record information comprises:
performing data cleaning on the medical record information to obtain standard data;
matching prescription data corresponding to the standard data in a diagnostic database according to the standard data;
and generating the prescription template according to the prescription data.
Wherein the standard data is disease data related to disease of the patient, and the diagnosis database stores mapping relationship between the disease data and the prescription data in advance.
4. The method of claim 3, wherein after generating the prescription template from the prescription data, the method further comprises:
acquiring a target drug used in the prescription template;
inquiring medication information related to the target medicine in a medicine database;
checking the prescription template according to the medication information;
the drug database stores the medication information of a plurality of drugs in advance, wherein the medication information comprises at least one of the following items:
medicine storage;
the drug expiration date;
a method for using the medicine.
5. The method of claim 1, wherein after generating a diagnostic prescription based on the input information and the prescription template, the method further comprises:
obtaining a frequency of use of the diagnostic prescription;
feeding back the use frequency;
configuring a push weight of the prescription template according to the frequency of use.
6. An apparatus for generating a diagnostic prescription, the apparatus comprising:
the first acquisition module is used for acquiring medical record information of a patient;
the determining module is used for determining a corresponding prescription template according to the medical record information;
the receiving module is used for receiving input information of a doctor;
and the generating module is used for generating a diagnosis prescription according to the input information and the prescription template.
7. The apparatus of claim 6, wherein the first obtaining module comprises:
the medical record generating device comprises a first generating unit, a second generating unit and a processing unit, wherein the first generating unit is used for generating a medical record template which comprises a plurality of preset medical record information options;
the acquisition unit is used for acquiring the selection input of a doctor on at least one target medical record information option in the plurality of preset medical record information options;
and the second generation unit is used for generating the medical record information according to the target medical record information option.
8. The apparatus of claim 6, wherein the determining module comprises:
the cleaning unit is used for carrying out data cleaning on the medical record information to obtain standard data;
the matching unit is used for matching prescription data corresponding to the standard data in a diagnosis database according to the standard data;
and the third generation unit is used for generating the prescription template according to the prescription data.
Wherein the standard data is disease data related to disease of the patient, and the diagnosis database stores mapping relationship between the disease data and the prescription data in advance.
9. The apparatus of claim 8, further comprising:
the second acquisition module is used for acquiring the target medicine used in the prescription template;
the query module is used for querying the medication information related to the target medicine in a medicine database;
the checking module is used for checking the prescription template according to the medication information;
the drug database stores the medication information of a plurality of drugs in advance, wherein the medication information comprises at least one of the following items:
medicine storage;
the drug expiration date;
a method for using the medicine.
10. The apparatus of claim 6, further comprising:
a third obtaining module for obtaining the frequency of use of the diagnostic prescription;
a feedback module for feeding back the usage frequency;
and the configuration module is used for configuring the pushing weight of the prescription template according to the use frequency.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105787844A (en) * | 2014-12-26 | 2016-07-20 | 北大医疗信息技术有限公司 | Medical record and medical advice auxiliary type-in method and medical record and medical advice auxiliary type-in device |
| CN107767927A (en) * | 2017-11-16 | 2018-03-06 | 深圳市捷迅高新科技股份有限公司 | A kind of Electronic Prescription System and its electronic health record |
| CN107818816A (en) * | 2017-12-12 | 2018-03-20 | 刘忠于 | Doctor's electronic health record automatic creation system based on artificial intelligence study |
| CN111210917A (en) * | 2019-12-30 | 2020-05-29 | 北京左医健康技术有限公司 | Medication guiding method and system based on offline code scanning |
-
2020
- 2020-06-01 CN CN202010484065.3A patent/CN113764057A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105787844A (en) * | 2014-12-26 | 2016-07-20 | 北大医疗信息技术有限公司 | Medical record and medical advice auxiliary type-in method and medical record and medical advice auxiliary type-in device |
| CN107767927A (en) * | 2017-11-16 | 2018-03-06 | 深圳市捷迅高新科技股份有限公司 | A kind of Electronic Prescription System and its electronic health record |
| CN107818816A (en) * | 2017-12-12 | 2018-03-20 | 刘忠于 | Doctor's electronic health record automatic creation system based on artificial intelligence study |
| CN111210917A (en) * | 2019-12-30 | 2020-05-29 | 北京左医健康技术有限公司 | Medication guiding method and system based on offline code scanning |
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