CN112837794A - High-value medical consumable intelligent evaluation method and system - Google Patents
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Abstract
The invention discloses a high-value medical consumable intelligent evaluation method and a high-value medical consumable intelligent evaluation system, wherein the method comprises the following steps: acquiring three types of medical data before, during and after an operation; and performing word segmentation extraction on the three types of medical data according to high-value medical consumable information, and evaluating the reasonable states of the high-value medical consumables before, during and after use according to the obtained word vectors. Through the extraction and analysis of the whole process of using the high-value medical consumables before, during, after and the like, the use rationality, accuracy, correctness, signature legality, disinfection normalization and the like of the high-value medical consumables are evaluated, and the clinical application management of the high-value medical consumables is realized.
Description
Technical Field
The invention relates to the technical field of medical equipment management, in particular to a high-value medical consumable intelligent evaluation method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The high-value medical consumables directly act on human bodies, have strict requirements on safety, large clinical usage amount, relatively high price and heavy burden on the cost of the masses. At present, the hospital has the phenomena of indiscriminate use and abuse in the aspect of using high-value medical consumables, and causes a plurality of difficulties and contradictions to the hospital in the management level. The existing use management aspect of the high-value medical consumables lacks strict clearance, and the use of the high-value medical consumables is not evaluated and commented after use correctly and normatively.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent evaluation method and system for high-value medical consumables, which are used for evaluating the rationality, accuracy, correctness, legality of signature, disinfection normalization and the like of the high-value medical consumables through extraction and analysis of the high-value medical consumables before, during, after and the like in the whole using process, so that the clinical application management of the high-value medical consumables is realized.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the invention provides a high-value medical consumable intelligent evaluation method, which comprises the following steps:
acquiring three types of medical data before, during and after an operation;
and performing word segmentation extraction on the three types of medical data according to high-value medical consumable information, and evaluating the reasonable states of the high-value medical consumables before, during and after use according to the obtained word vectors.
In a second aspect, the present invention provides an intelligent evaluation system for high-value medical consumables, comprising:
the data acquisition module is configured to acquire three types of medical data before, during and after an operation;
and the evaluation module is configured to perform word segmentation extraction on the three types of medical data according to the high-value medical consumable information, and evaluate the reasonable states of the high-value medical consumables before, during and after use according to the obtained word vectors.
In a third aspect, the present invention provides an electronic device comprising a memory and a processor, and computer instructions stored on the memory and executed on the processor, wherein when the computer instructions are executed by the processor, the method of the first aspect is performed.
In a fourth aspect, the present invention provides a computer readable storage medium for storing computer instructions which, when executed by a processor, perform the method of the first aspect.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the rationality and accuracy of the use of high-value medical consumables, the legality of signatures, the correctness of usage dosage, the normative of disinfection and the like are evaluated and analyzed from aspects such as preoperative medical advice diagnosis, preoperative discussion records, operation notice notes, informed consent, operation record notes, adverse event report, postoperative course records, discharge records and the like, so that the problems of misuse and abuse of hospital departments are solved, the rational use of the high-value medical consumables is promoted, the clinical application management of the high-value medical consumables is enhanced, and the use safety of patients is ensured.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a schematic diagram of an intelligent evaluation method for high-value medical consumables according to embodiment 1 of the present invention.
The specific implementation mode is as follows:
the invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. 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 invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example 1
As shown in fig. 1, the present embodiment provides a method for intelligently evaluating high-value medical consumables, including:
s1: acquiring three types of medical data before, during and after an operation;
s2: and performing word segmentation extraction on the three types of medical data according to high-value medical consumable information, and evaluating the reasonable states of the high-value medical consumables before, during and after use according to the obtained word vectors.
In step S1, the preoperative medical data includes a preoperative medical order diagnosis sheet, a preoperative discussion record sheet, an operation notice sheet, an informed consent form and an adverse event report sheet;
the medical data in the operation comprises an operation record sheet;
the postoperative medical data includes postoperative course of disease notes and discharge notes.
In step S1, the present embodiment obtains the three types of medical data from the hospital database through the Service interface, and automatically collects all the usage data related to the high-value medical consumables by using the high-value medical consumables as the retrieval center.
In the step S2, according to the high-value medical supplies information, extracting the use information related to the high-value medical supplies from the three types of medical data by word segmentation; the evaluation model obtained through convolutional neural network training is adopted to analyze the use information related to the high-value medical consumables, and the reasonability and accuracy of the use of the high-value medical consumables, the legality of signatures, the correctness of usage amount, the disinfection normalization and the like are evaluated to obtain reasonable or unreasonable evaluation results of the use of the high-value medical consumables, wherein the unreasonable evaluation results comprise non-normalcy.
The evaluation process specifically comprises:
s2-1: judging the rationality and accuracy of using high-value medical consumables according to a preoperative medical advice diagnosis sheet and a preoperative discussion record sheet;
performing word segmentation extraction in a preoperative medical advice diagnosis list and a preoperative discussion record list, and extracting usage data of high-value consumables;
training a neural network model through a large number of correct preoperative medical advice diagnosis lists and preoperative discussion record lists;
and inputting the extracted usage data of the high-value consumable into the neural network model, and comparing the output result with the training result of the neural network model to obtain the rationality and accuracy of the usage of the high-value medical consumable.
S2-2: judging the legality of the signature used by the high-value medical consumable according to the operation notice and the informed consent signed by the family members of the patient;
extracting a signature according to the operation notice and the informed consent signed by the family members of the patient, confirming whether the signature of the family members or the family members exists on the operation notice and the informed consent through algorithms such as picture scanning or image recognition, and judging whether the signature is legal or not so as to judge the legality of the signature used by the high-value medical consumables.
S2-3: extracting use information related to high-value medical consumables according to a postoperative operation record sheet of a patient, and judging the correctness of the use and the use amount of the high-value medical consumables;
performing word segmentation extraction in an operation record sheet of a patient after operation, and extracting operation use information related to high-value medical consumables;
training a neural network model through a large number of correct operation record sheets to obtain a training result;
inputting the extracted use information of the high-value medical consumables into a neural network model, comparing the output result with a training result of the neural network model, and judging the correctness of the use method and the use amount of the high-value medical consumables in the operation;
or, the usage information in the postoperative operation record sheet of the patient can be compared with the usage data in the preoperative medical order diagnosis sheet and the preoperative discussion record sheet, and whether the usage of the high-value medical consumables in the operation is consistent with the usage before the operation is judged.
S2-4: judging whether the high-value medical consumables have quality problems, whether the high-value medical consumables are qualified or not and the like according to the adverse event report sheet of the relevant high-value medical consumables extracted from the hospital adverse event management system;
according to an adverse event report sheet of related high-value medical consumables extracted by word segmentation from a hospital adverse event management system, if the quality and disinfection problems of the high-value medical consumables exist in the adverse event report sheet, reporting that the high-value medical consumables are unqualified;
and if the adverse event report does not contain the information of the high-value medical consumables, determining that the quality and disinfection problems do not exist.
S2-5: and (4) judging whether the high-value medical consumables have adverse reactions and the patient condition is good after the operation according to the postoperative course record sheet and the discharge record sheet.
Extracting postoperative use information related to the high-value medical consumables through word segmentation according to the postoperative course record sheet and the discharge record sheet, judging whether sensitive words such as infection, adverse reaction and the like exist in the extracted information data, if so, determining that the high-value medical consumables are unqualified, and if not, determining that the patient does not have the adverse reaction when using the high-value medical consumables.
This embodiment carries out the early warning of adverse use incident through high value medical consumptive material multidimension degree data, the probability that greatly reduced adverse use incident takes place, can realize different departments, the high value medical consumptive material use risk correlation analysis during the project of diagnosing and treating and seeing a doctor, reach the medical risk that high value medical consumptive material used whole journey and avoid, can guarantee the accuracy of high value medical consumptive material use data, it is clear, unanimous, it is complete and logical, can in time discover security and validity risk relevant with high value medical consumptive material, increase the internal control of high value medical consumptive material quality.
Example 2
The embodiment provides a high value medical consumptive material intelligence evaluation system, includes:
the data acquisition module is configured to acquire three types of medical data before, during and after an operation;
and the evaluation module is configured to perform word segmentation extraction on the three types of medical data according to the high-value medical consumable information, and evaluate the reasonable states of the high-value medical consumables before, during and after use according to the obtained word vectors.
It should be noted that the modules correspond to the steps described in embodiment 1, and the modules are the same as the corresponding steps in the implementation examples and application scenarios, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of a system may be implemented in a computer system such as a set of computer-executable instructions.
In further embodiments, there is also provided:
an electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions when executed by the processor performing the method of embodiment 1. For brevity, no further description is provided herein.
It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include both read-only memory and random access memory, and may provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.
A computer readable storage medium storing computer instructions which, when executed by a processor, perform the method described in embodiment 1.
The method in embodiment 1 may be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, among other storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor. To avoid repetition, it is not described in detail here.
Those of ordinary skill in the art will appreciate that the various illustrative elements, i.e., algorithm steps, described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. An intelligent evaluation method for high-value medical consumables is characterized by comprising the following steps:
acquiring three types of medical data before, during and after an operation;
and performing word segmentation extraction on the three types of medical data according to high-value medical consumable information, and evaluating the reasonable states of the high-value medical consumables before, during and after use according to the obtained word vectors.
2. The method for intelligently evaluating high-value medical consumables according to claim 1, wherein the preoperative medical data comprise preoperative medical order diagnosis sheets, preoperative discussion records, operation notification sheets, informed consent forms and adverse event reporting sheets; the medical data in the operation comprises an operation record sheet; the postoperative medical data includes postoperative course of disease notes and discharge notes.
3. The intelligent evaluation method for high-value medical consumables according to claim 1, wherein the evaluation of the reasonable state of the high-value medical consumables before use according to the obtained word vector comprises: extracting usage data of high-value consumables according to the preoperative medical advice diagnosis list and the preoperative discussion record list, and judging the rationality and accuracy of the usage of the high-value medical consumables according to the usage data of the high-value consumables.
4. The intelligent evaluation method for high-value medical consumables according to claim 1, wherein the evaluation of the reasonable state of the high-value medical consumables before use according to the obtained word vector comprises: and extracting the signature according to the operation notice and the informed consent and judging whether the signature is legal or not so as to obtain the validity of the signature used by the high-value medical consumable.
5. The intelligent evaluation method for high-value medical consumables according to claim 1, wherein the evaluation of the reasonable state of the high-value medical consumables before use according to the obtained word vector comprises: and (4) judging whether the high-value medical consumables have quality and disinfection problems according to the adverse event report list.
6. The intelligent evaluation method for high-value medical consumables according to claim 1, wherein the evaluation of the reasonable state of the high-value medical consumables in use according to the obtained word vector comprises: and extracting intraoperative use data of the high-value medical consumables according to the operation record sheet, and judging the correctness of the intraoperative use method and the usage of the high-value medical consumables according to the intraoperative use data.
7. The intelligent evaluation method for high-value medical consumables according to claim 1, wherein the evaluation of the reasonable state of the high-value medical consumables after use according to the obtained word vector comprises: extracting the postoperative use data of the high-value medical consumables according to the postoperative course record sheet and the discharge record sheet, and judging whether sensitive words exist in the postoperative use data or not so as to judge whether the postoperative high-value medical consumables have adverse reactions or not.
8. The utility model provides a high value medical consumptive material intelligence evaluation system which characterized in that includes:
the data acquisition module is configured to acquire three types of medical data before, during and after an operation;
and the evaluation module is configured to perform word segmentation extraction on the three types of medical data according to the high-value medical consumable information, and evaluate the reasonable states of the high-value medical consumables before, during and after use according to the obtained word vectors.
9. An electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions when executed by the processor performing the method of any of claims 1-7.
10. A computer-readable storage medium storing computer instructions which, when executed by a processor, perform the method of any one of claims 1 to 7.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130144652A1 (en) * | 2011-12-02 | 2013-06-06 | Children's Medical Center Corporation | Systems and methods for assessing medical record complexity and risk of adverse events |
| CN107451400A (en) * | 2017-07-11 | 2017-12-08 | 武汉金豆医疗数据科技有限公司 | A kind of medical act monitoring method and system |
| CN109524083A (en) * | 2018-10-30 | 2019-03-26 | 平安科技（深圳）有限公司 | Based on the rational method of medical big data monitoring adjuvant drug and Related product |
| CN109920508A (en) * | 2018-12-28 | 2019-06-21 | 安徽省立医院 | prescription auditing method and system |
| CN110223751A (en) * | 2019-05-16 | 2019-09-10 | 平安科技（深圳）有限公司 | Prescription evaluation method, system and computer equipment based on medical knowledge map |
| CN112002397A (en) * | 2020-09-15 | 2020-11-27 | 江西安联医疗器械有限公司 | Clinical decision support and clinical cost management system |
| CN112002403A (en) * | 2020-08-25 | 2020-11-27 | 上海至数企业发展有限公司 | Quantitative evaluation method, device and equipment for medical equipment and storage medium |
-
2021
- 2021-01-12 CN CN202110038345.6A patent/CN112837794B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130144652A1 (en) * | 2011-12-02 | 2013-06-06 | Children's Medical Center Corporation | Systems and methods for assessing medical record complexity and risk of adverse events |
| CN107451400A (en) * | 2017-07-11 | 2017-12-08 | 武汉金豆医疗数据科技有限公司 | A kind of medical act monitoring method and system |
| CN109524083A (en) * | 2018-10-30 | 2019-03-26 | 平安科技（深圳）有限公司 | Based on the rational method of medical big data monitoring adjuvant drug and Related product |
| CN109920508A (en) * | 2018-12-28 | 2019-06-21 | 安徽省立医院 | prescription auditing method and system |
| CN110223751A (en) * | 2019-05-16 | 2019-09-10 | 平安科技（深圳）有限公司 | Prescription evaluation method, system and computer equipment based on medical knowledge map |
| CN112002403A (en) * | 2020-08-25 | 2020-11-27 | 上海至数企业发展有限公司 | Quantitative evaluation method, device and equipment for medical equipment and storage medium |
| CN112002397A (en) * | 2020-09-15 | 2020-11-27 | 江西安联医疗器械有限公司 | Clinical decision support and clinical cost management system |
Non-Patent Citations (1)
| Title |
|---|
| 王炳胜 等: ""电子病历应用效果评价标准初探"", 《中国医院安正管理》 * |
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