CN110680280A - Method and device for evaluating medical quality of cerebral apoplexy, computer equipment and storage medium - Google Patents

Method and device for evaluating medical quality of cerebral apoplexy, computer equipment and storage medium Download PDF

Info

Publication number
CN110680280A
CN110680280A CN201910888109.6A CN201910888109A CN110680280A CN 110680280 A CN110680280 A CN 110680280A CN 201910888109 A CN201910888109 A CN 201910888109A CN 110680280 A CN110680280 A CN 110680280A
Authority
CN
China
Prior art keywords
factor
hospital
quality evaluation
influence factor
evaluation value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910888109.6A
Other languages
Chinese (zh)
Inventor
任力杰
李维平
雷志浩
冯宏业
王洋
胡诗雨
池枫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Second Peoples Hospital
Original Assignee
Shenzhen Second Peoples Hospital
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Second Peoples Hospital filed Critical Shenzhen Second Peoples Hospital
Priority to CN201910888109.6A priority Critical patent/CN110680280A/en
Publication of CN110680280A publication Critical patent/CN110680280A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4848Monitoring or testing the effects of treatment, e.g. of medication
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4842Monitoring progression or stage of a disease

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The application relates to a medical quality assessment method, which comprises the following steps: acquiring treatment data of a stroke patient corresponding to each hospital, wherein the treatment data comprises: a plurality of influence factors influencing the stroke treatment effect, and influence factor values corresponding to the influence factors; obtaining a grading rule corresponding to each influence factor; calculating according to the grading rule corresponding to each influence factor and the influence factor value to obtain a factor quality evaluation value corresponding to the corresponding influence factor; and respectively calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital. The medical quality evaluation method can timely know the treatment level of each hospital for the cerebral apoplexy patient, and is convenient for each hospital to promote the treatment level in the cerebral apoplexy treatment as soon as possible. In addition, a medical quality assessment apparatus, a computer device and a storage medium are also provided.

Description

Method and device for evaluating medical quality of cerebral apoplexy, computer equipment and storage medium
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for evaluating medical quality of cerebral apoplexy, computer equipment and a storage medium.
Background
Stroke refers to a group of diseases in which brain tissue is damaged due to sudden rupture of cerebral blood vessels or the inability of blood to flow into the brain due to vascular occlusion. Present each hospital differs to the treatment level of cerebral apoplexy, in order to know the treatment level of each hospital to cerebral apoplexy in time to and supervise each hospital and improve corresponding treatment level, need regularly to assess the treatment effect of every hospital to cerebral apoplexy. However, there is no method for evaluating the medical quality of stroke in each hospital.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device, and a storage medium for stroke medical quality assessment that can assess the quality of treatment in hospitals.
In a first aspect, an embodiment of the present invention provides a medical quality assessment method, where the method includes:
acquiring treatment data of a stroke patient corresponding to each hospital, wherein the treatment data comprises: a plurality of influence factors influencing the stroke treatment effect, and influence factor values corresponding to the influence factors;
obtaining a grading rule corresponding to each influence factor;
calculating according to the grading rule corresponding to each influence factor and the influence factor value to obtain a factor quality evaluation value corresponding to the corresponding influence factor;
and respectively calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital.
In a second aspect, an embodiment of the present invention provides a medical quality assessment apparatus, including:
the data acquisition module is used for acquiring the treatment data of the stroke patient corresponding to each hospital, and the treatment data comprises: a plurality of influence factors influencing the stroke treatment effect, and influence factor values corresponding to the influence factors;
the rule obtaining module is used for obtaining a scoring rule corresponding to each influence factor;
the factor calculation module is used for calculating to obtain a factor quality evaluation value corresponding to each influence factor according to the grading rule corresponding to each influence factor and the influence factor value;
and the medical calculation module is used for respectively calculating the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital.
In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the following steps:
acquiring treatment data of a stroke patient corresponding to each hospital, wherein the treatment data comprises: a plurality of influence factors influencing the stroke treatment effect, and influence factor values corresponding to the influence factors;
obtaining a grading rule corresponding to each influence factor;
calculating according to the grading rule corresponding to each influence factor and the influence factor value to obtain a factor quality evaluation value corresponding to the corresponding influence factor;
and respectively calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the processor is caused to execute the following steps:
acquiring treatment data of a stroke patient corresponding to each hospital, wherein the treatment data comprises: a plurality of influence factors influencing the stroke treatment effect, and influence factor values corresponding to the influence factors;
obtaining a grading rule corresponding to each influence factor;
calculating according to the grading rule corresponding to each influence factor and the influence factor value to obtain a factor quality evaluation value corresponding to the corresponding influence factor;
and respectively calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital.
According to the medical quality assessment method, the medical quality assessment device, the computer equipment and the storage medium, the treatment data of the cerebral apoplexy patient corresponding to each hospital are acquired, wherein the treatment data comprise: a plurality of influence factors influencing the stroke treatment effect and influence factor values corresponding to the influence factors; and obtaining a grading rule corresponding to each influence factor, calculating a factor quality value of the corresponding influence factor according to the grading rule and the influence factor value of each influence factor, and calculating a medical quality evaluation value corresponding to each hospital according to each factor quality evaluation value corresponding to each hospital. By acquiring the treatment data of the stroke patients in each hospital and finally obtaining the medical quality evaluation values of the hospitals, the treatment condition of each hospital for the stroke patients can be known in time, and the treatment level of each hospital in the stroke treatment can be improved as soon as possible.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a flow chart of a method for assessing the medical quality of stroke in one embodiment;
FIG. 2 is a flowchart illustrating a method for calculating a factor quality evaluation value corresponding to a corresponding influencing factor according to an embodiment;
fig. 3 is a block diagram showing the construction of a medical quality evaluation apparatus for stroke according to an embodiment;
fig. 4 is a block diagram showing the construction of a medical quality evaluation apparatus for stroke in another embodiment;
fig. 5 is a block diagram showing a medical quality evaluation apparatus for stroke in still another embodiment;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, a method for evaluating medical quality of a stroke is provided, where the method for evaluating medical quality of a stroke may be applied to a terminal or a server, and this embodiment is exemplified by being applied to a server. The medical quality evaluation method specifically comprises the following steps:
102, acquiring treatment data of the stroke patient corresponding to each hospital, wherein the treatment data comprises: a plurality of influencing factors influencing the treatment effect of the cerebral apoplexy and an influencing factor value corresponding to each influencing factor.
Wherein, the treatment effect of cerebral apoplexy is influenced by a plurality of influence factors, in order to aassessment the medical quality of the cerebral apoplexy of hospital, at first need obtain every hospital to the treatment data of cerebral apoplexy patient. The collection of the treatment data may be collected by APP (application program) developed specifically for each hospital, and each hospital uploads the treatment data of each stroke patient to the server through APP. Therefore, the server can acquire the treatment data of the stroke patient corresponding to each hospital.
The treatment data includes a plurality of influencing factors, wherein the influencing factors include: the time from disease onset to venous thrombolysis, the time from disease onset to thrombolysis, the time from hospital to venous thrombolysis, the time from hospital to thrombolysis, the ratio of thrombus taking cases, one or more of the number of thrombus taking cases, the ratio of venous thrombolysis and the number of venous thrombolysis cases. The influence factor value is a specific value corresponding to the influence factor, for example, the time from the onset of the disease to the venous thrombolysis is 50 minutes, and the influence factor value is 50 minutes. Wherein, the time from onset to intravenous thrombolysis refers to the time length from onset of the disease to intravenous thrombolysis of the patient; the time from hospital arrival to venous thrombolysis refers to the time length from arrival of a patient to venous thrombolysis, the venous thrombolysis ratio refers to the ratio of the number of venous thrombolysis cases to all cerebral apoplexy patients in the hospital, the time from attack to thrombolysis refers to the time length from attack of the patient to thrombolysis, the time from hospital arrival to thrombolysis refers to the time length from arrival of the patient to thrombolysis, and the thrombolysis ratio refers to the ratio of the number of thrombolysis cases to all cerebral apoplexy patients in the hospital.
And 104, acquiring a grading rule corresponding to each influence factor.
Wherein, different scoring rules are respectively set in advance for each influence factor.
And 106, calculating to obtain a factor quality evaluation value corresponding to each influence factor according to the grading rule corresponding to each influence factor and the influence factor value.
And each influence factor value corresponds to a corresponding factor quality evaluation value. In one embodiment, since there are many stroke patients corresponding to a hospital, when the hospital is evaluated, the evaluation value of the influencing factor corresponding to each patient can be taken. For example, assume that one of the influencing factors is: the time from hospital arrival to venous thrombolysis, then the average of the time from hospital arrival to venous thrombolysis for all patients was counted.
The scoring rule corresponding to each influence factor is preset, for example, for the influence factor of time from hospital arrival to venous thrombolysis, the corresponding scoring rule may be set as: if the time is less than 30 minutes, the factor quality evaluation value is 10 minutes, if the time is more than 30 minutes and less than 50 minutes, the corresponding factor quality evaluation value is 8 minutes, if the time is more than 50 minutes and less than 70 minutes, the corresponding factor quality evaluation value is 5 minutes, if the time is more than 70 minutes and less than 100 minutes, the corresponding factor quality evaluation value is 3 minutes, if the time is more than 100 minutes and less than 150 minutes, the corresponding factor quality evaluation value is 1 minute, and if the time is more than 150 minutes, the corresponding factor quality evaluation value is 0 minutes. Therefore, the corresponding factor quality evaluation value can be determined by acquiring the time from hospital arrival to vein thrombolysis. The grading rule of each influence factor can be set in a self-defining mode according to the actual situation.
And 108, respectively calculating to obtain a medical quality evaluation value corresponding to each hospital according to the quality evaluation values of the factors corresponding to each hospital.
The medical quality evaluation value is used for reflecting the hospital treatment level of the cerebral apoplexy patient. And after calculating to obtain each factor quality evaluation value corresponding to each hospital, calculating to obtain the medical quality evaluation value of each hospital according to each factor quality evaluation value of each hospital. In one embodiment, the medical quality evaluation value of each hospital can be obtained by adding the quality evaluation values of the factors corresponding to the hospital.
Above-mentioned medical quality assessment method of cerebral apoplexy, through the treatment data that obtains the cerebral apoplexy patient that every hospital corresponds, wherein, treatment data includes: a plurality of influence factors influencing the stroke treatment effect and influence factor values corresponding to the influence factors; and obtaining a grading rule corresponding to each influence factor, calculating a factor quality value of the corresponding influence factor according to the grading rule and the influence factor value of each influence factor, and calculating a medical quality evaluation value corresponding to each hospital according to each factor quality evaluation value corresponding to each hospital. By acquiring the treatment data of the stroke patients in each hospital and finally obtaining the medical quality evaluation values of the hospitals, the treatment condition of each hospital for the stroke patients can be known in time, and the treatment level of stroke treatment in each hospital can be promoted as soon as possible.
In one embodiment, the influencing factors include: the time from hospital arrival to venous thrombolysis, the time from disease onset to thrombolysis, the time from hospital arrival to thrombolysis, the number of thrombus taking cases in stroke, the thrombus taking proportion in stroke, and the thrombus dissolving proportion in stroke vein;
the time from hospital arrival to venous thrombolysis, the time from morbidity to thrombus removal and the time from hospital arrival to thrombus removal are respectively inversely related to the corresponding factor quality evaluation values;
the number of thrombus taking cases in the stroke, the number of thrombus dissolving cases in the cerebral stroke vein, the thrombus taking proportion in the cerebral stroke vein and the thrombus dissolving proportion in the cerebral stroke vein are positively correlated with the corresponding factor quality evaluation values.
Wherein the shorter the time from hospital arrival to intravenous thrombolysis, the higher the corresponding score will be; the shorter the time from onset to venous thrombolysis, the higher the corresponding score; the more cases of venous thrombolysis, the higher the corresponding score; the shorter the time from onset to embolectomy, the higher the corresponding score; the shorter the time from hospital arrival to embolectomy, the higher the corresponding score; the higher the thrombus taking number of the stroke and the thrombus dissolving number of the stroke vein, the higher the corresponding score.
As shown in fig. 2, in an embodiment, calculating the factor quality evaluation value corresponding to each influence factor according to the scoring rule and the influence factor value corresponding to each influence factor includes:
and 106A, calculating to obtain an average influence factor value and a median influence factor value corresponding to each influence factor according to the treatment data of the stroke patients.
The average influence factor value is the average value of the factors of a plurality of stroke patients aiming at the same influence factor. The median influence factor value is that the factor values of a plurality of stroke patients aiming at the same influence factor are arranged from small to large, and then the value in the middle is the median influence factor value. For example, one of the influencing factors is: the time from onset to venous thrombolysis, for example, for 5 stroke patients, is as follows: 30 minutes, 50 minutes, 55 minutes, 65 minutes and 80 minutes. Then the average influencer value for that influencer is: (30+50+55+65+80)/5 ═ 56 minutes. The corresponding median influential value was 55 minutes.
And step 106B, calculating to obtain factor quality evaluation values corresponding to the corresponding influence factors according to the grading rule, the average influence factor value and the middle influence factor value.
Wherein the scoring rules are associated with the average influencer value and the median influencer value. Therefore, after the average influence factor value and the middle influence factor value are obtained, the corresponding factor quality evaluation value can be calculated according to the scoring rule.
In one embodiment, before obtaining the scoring rule corresponding to each influence factor, the method further includes:
acquiring an influence curve graph of different influence factor values of each influence factor on the treatment effect; and determining a grading rule corresponding to the corresponding influence factor according to each inflection point in the influence curve graph.
Wherein, the influence curve diagram of different influence factor values on the treatment effect in the historical treatment record is counted. Each inflection point in the influence graph represents a demarcation point that significantly influences the treatment effect, so a corresponding scoring rule is formulated according to the inflection point.
In an embodiment, the calculating the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation values corresponding to each hospital respectively includes: acquiring the weight corresponding to each factor quality evaluation value; and calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital and the corresponding weight.
After the factor quality evaluation value corresponding to each influence factor is obtained through calculation, the weight corresponding to each factor quality evaluation value is obtained, and then the medical quality evaluation value can be obtained through weighted summation of the influence factors.
In one embodiment, the method for assessing the medical quality of stroke further includes: acquiring basic information and treatment effect of a stroke patient corresponding to each hospital, wherein the basic information comprises: age, history of illness; determining a medical quality adjustment coefficient according to the basic information and the treatment effect; and adjusting according to the medical quality adjustment coefficient and the medical quality evaluation value to obtain a target medical quality evaluation value corresponding to each hospital.
Among them, the conditions of stroke patients are different, and the difference in physical quality and the like also affect the therapeutic effect. Therefore, when evaluating the medical quality, the basic information of the stroke patient and the corresponding treatment effect need to be considered, and the basic information includes: the age and history of the patient can be known according to the basic information, the difficulty of treating the patient can be known, and the final treatment result can be intuitively known according to the treatment effect. And calculating a medical quality adjustment coefficient according to the statistical basic information, the historical diseased records and the treatment effects of the stroke patients corresponding to each hospital, wherein the medical quality adjustment coefficient is used for finely adjusting the calculated medical quality evaluation value, so that a more accurate target medical quality evaluation value is obtained.
In one embodiment, the determining a medical quality adjustment coefficient according to the basic information and the treatment effect comprises: calculating the cure success probability according to the basic information; and calculating to obtain a medical quality adjustment coefficient according to the cure success probability and the corresponding treatment effect of each cerebral apoplexy.
Wherein, the basic information of the cerebral apoplexy patient comprises: the cure success probability can be calculated according to the basic information of the stroke patient, and then the medical quality adjustment coefficient is determined by combining the final treatment effect. For example, if the cure success probability is low but the treatment effect is good, the corresponding medical quality evaluation value needs to be increased and the medical quality adjustment coefficient is greater than 1, whereas if the cure success probability is high but the treatment effect is not good, the corresponding medical quality adjustment coefficient needs to be decreased and is generally less than 1.
The medical quality evaluation value obtained by the calculation can be finally adjusted by setting the medical quality adjustment coefficient, so that the calculated result can be adjusted by combining the basic information and the treatment effect of the patient to obtain the target medical quality evaluation value.
As shown in fig. 3, there is provided a medical quality evaluation device for cerebral apoplexy, the device comprising:
a data obtaining module 302, configured to obtain treatment data of a stroke patient corresponding to each hospital, where the treatment data includes: a plurality of influence factors influencing the stroke treatment effect, and influence factor values corresponding to the influence factors;
a rule obtaining module 304, configured to obtain a scoring rule corresponding to each influence factor;
the factor quality calculation module 306 is configured to calculate a factor quality evaluation value corresponding to each influence factor according to the scoring rule corresponding to each influence factor and the influence factor value;
and the medical quality calculating module 308 is configured to calculate a medical quality evaluation value corresponding to each hospital according to each factor quality evaluation value corresponding to each hospital.
In one embodiment, the influencing factors include: the time from hospital arrival to venous thrombolysis, the time from disease onset to thrombolysis, the time from hospital arrival to thrombolysis, the number of thrombus taking examples in stroke and the number of cerebral stroke venous thrombolysis examples; the time from hospital arrival to intravenous thrombolysis, the time from morbidity to thrombus removal and the time from hospital arrival to thrombus removal are respectively inversely related to corresponding factor quality evaluation values; the number of thrombus taking cases in the stroke and the number of thrombus dissolving cases in the stroke vein are positively correlated with the corresponding factor quality evaluation values.
In one embodiment, the factor quality calculation module 306 is further configured to calculate an average influence factor value and a median influence factor value corresponding to each influence factor according to the treatment data of a plurality of stroke patients; and calculating to obtain a factor quality evaluation value corresponding to the corresponding influence factor according to the grading rule, the average influence factor value and the median influence factor value.
As shown in fig. 4, in an embodiment, the apparatus for assessing cerebral stroke medical quality further includes:
a scoring rule establishing module 301, configured to obtain an influence curve graph of different influence factor values of each influence factor on a treatment effect; and determining a grading rule corresponding to the corresponding influence factor according to each inflection point in the influence curve graph.
In one embodiment, the medical quality calculation module is further configured to obtain a weight corresponding to each factor quality evaluation value; and calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital and the corresponding weight.
As shown in fig. 5, in an embodiment, the apparatus for assessing cerebral stroke medical quality further includes:
the adjusting module 310 is configured to obtain basic information and a treatment effect of a stroke patient corresponding to each hospital, where the basic information includes: age, history of illness; determining a medical quality adjustment coefficient according to the basic information and the treatment effect; and adjusting according to the medical quality adjustment coefficient and the medical quality evaluation value to obtain a target medical quality evaluation value corresponding to each hospital.
In one embodiment, the adjusting module is further configured to calculate a cure success probability according to the basic information; and calculating to obtain a medical quality adjustment coefficient according to the cure success probability and the corresponding treatment effect of each cerebral apoplexy.
FIG. 6 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may be a terminal. As shown in fig. 6, the computer device includes a processor, a memory, a camera, and a network interface connected by a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program that, when executed by the processor, causes the processor to implement the medical quality assessment method. The internal memory may also have stored therein a computer program that, when executed by the processor, causes the processor to perform a medical quality assessment method. The camera is used for collecting images of the billiard table surface area, and the network interface is used for communicating with the outside. Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the medical quality assessment method provided by the present application may be implemented in the form of a computer program that is executable on a computer device such as that shown in fig. 6. The memory of the computer device may store therein the respective program templates constituting the medical quality evaluation apparatus. Such as a data acquisition module 302, a rule acquisition module 304, a factor quality calculation module 306, and a medical quality calculation module 308.
A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of: acquiring treatment data of a stroke patient corresponding to each hospital, wherein the treatment data comprises: a plurality of influence factors influencing the stroke treatment effect, and influence factor values corresponding to the influence factors; obtaining a grading rule corresponding to each influence factor; calculating according to the grading rule corresponding to each influence factor and the influence factor value to obtain a factor quality evaluation value corresponding to the corresponding influence factor; and respectively calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital.
In one embodiment, the influencing factors include: the time from hospital arrival to venous thrombolysis, the time from disease onset to thrombolysis, the time from hospital arrival to thrombolysis, the number of thrombus taking examples in stroke and the number of cerebral stroke venous thrombolysis examples; the time from hospital arrival to intravenous thrombolysis, the time from morbidity to thrombus removal and the time from hospital arrival to thrombus removal are respectively inversely related to corresponding factor quality evaluation values; the number of thrombus taking cases in the stroke and the number of thrombus dissolving cases in the stroke vein are positively correlated with the corresponding factor quality evaluation values.
In an embodiment, the calculating, according to the scoring rule corresponding to each influence factor and the influence factor value, a factor quality evaluation value corresponding to the corresponding influence factor includes: calculating to obtain an average influence factor value and a middle influence factor value corresponding to each influence factor according to the treatment data of the stroke patients; and calculating to obtain a factor quality evaluation value corresponding to the corresponding influence factor according to the grading rule, the average influence factor value and the median influence factor value.
In one embodiment, before the obtaining the scoring rule corresponding to each influencing factor, the computer program is further configured to, when executed by the processor, perform the following steps: acquiring an influence curve graph of different influence factor values of each influence factor on the treatment effect; and determining a grading rule corresponding to the corresponding influence factor according to each inflection point in the influence curve graph.
In an embodiment, the calculating the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation values corresponding to each hospital respectively includes: acquiring the weight corresponding to each factor quality evaluation value; and calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital and the corresponding weight.
In one embodiment, the computer program, when executed by the processor, is further configured to perform the steps of: acquiring basic information and treatment effect of a stroke patient corresponding to each hospital, wherein the basic information comprises: age, history of illness; determining a medical quality adjustment coefficient according to the basic information and the treatment effect; and adjusting according to the medical quality adjustment coefficient and the medical quality evaluation value to obtain a target medical quality evaluation value corresponding to each hospital.
In one embodiment, the determining a medical quality adjustment coefficient according to the basic information and the treatment effect comprises: calculating the cure success probability according to the basic information; and calculating to obtain a medical quality adjustment coefficient according to the cure success probability and the corresponding treatment effect of each cerebral apoplexy.
A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of: acquiring treatment data of a stroke patient corresponding to each hospital, wherein the treatment data comprises: a plurality of influence factors influencing the stroke treatment effect, and influence factor values corresponding to the influence factors; obtaining a grading rule corresponding to each influence factor; calculating according to the grading rule corresponding to each influence factor and the influence factor value to obtain a factor quality evaluation value corresponding to the corresponding influence factor; and respectively calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital.
In one embodiment, the influencing factors include: the time from hospital arrival to venous thrombolysis, the time from disease onset to thrombolysis, the time from hospital arrival to thrombolysis, the number of thrombus taking examples in stroke and the number of cerebral stroke venous thrombolysis examples; the time from hospital arrival to intravenous thrombolysis, the time from morbidity to thrombus removal and the time from hospital arrival to thrombus removal are respectively inversely related to corresponding factor quality evaluation values; the number of thrombus taking cases in the stroke and the number of thrombus dissolving cases in the stroke vein are positively correlated with the corresponding factor quality evaluation values.
In an embodiment, the calculating, according to the scoring rule corresponding to each influence factor and the influence factor value, a factor quality evaluation value corresponding to the corresponding influence factor includes: calculating to obtain an average influence factor value and a middle influence factor value corresponding to each influence factor according to the treatment data of the stroke patients; and calculating to obtain a factor quality evaluation value corresponding to the corresponding influence factor according to the grading rule, the average influence factor value and the median influence factor value.
In one embodiment, before the obtaining the scoring rule corresponding to each influencing factor, the computer program is further configured to, when executed by the processor, perform the following steps: acquiring an influence curve graph of different influence factor values of each influence factor on the treatment effect; and determining a grading rule corresponding to the corresponding influence factor according to each inflection point in the influence curve graph.
In an embodiment, the calculating the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation values corresponding to each hospital respectively includes: acquiring the weight corresponding to each factor quality evaluation value; and calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital and the corresponding weight.
In one embodiment, the computer program, when executed by the processor, is further configured to perform the steps of: acquiring basic information and treatment effect of a stroke patient corresponding to each hospital, wherein the basic information comprises: age, history of illness; determining a medical quality adjustment coefficient according to the basic information and the treatment effect; and adjusting according to the medical quality adjustment coefficient and the medical quality evaluation value to obtain a target medical quality evaluation value corresponding to each hospital.
In one embodiment, the determining a medical quality adjustment coefficient according to the basic information and the treatment effect comprises: calculating the cure success probability according to the basic information; and calculating to obtain a medical quality adjustment coefficient according to the cure success probability and the corresponding treatment effect of each cerebral apoplexy.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method for medical quality assessment of stroke, the method comprising:
acquiring treatment data of a stroke patient corresponding to each hospital, wherein the treatment data comprises: a plurality of influence factors influencing the stroke treatment effect, and influence factor values corresponding to the influence factors;
obtaining a grading rule corresponding to each influence factor;
calculating according to the grading rule corresponding to each influence factor and the influence factor value to obtain a factor quality evaluation value corresponding to the corresponding influence factor;
and respectively calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital.
2. The method of claim 1, wherein the influencing factors comprise: the time from hospital arrival to venous thrombolysis, the time from disease onset to thrombolysis, the time from hospital arrival to thrombolysis, the number of thrombus taking examples in stroke and the number of cerebral stroke venous thrombolysis examples;
the time from hospital arrival to intravenous thrombolysis, the time from morbidity to thrombus removal and the time from hospital arrival to thrombus removal are respectively inversely related to corresponding factor quality evaluation values;
the number of thrombus taking cases in the stroke and the number of thrombus dissolving cases in the stroke vein are positively correlated with the corresponding factor quality evaluation values.
3. The method according to claim 1, wherein the calculating the factor quality evaluation value corresponding to each influence factor according to the scoring rule corresponding to each influence factor and the influence factor value comprises:
calculating to obtain an average influence factor value and a middle influence factor value corresponding to each influence factor according to the treatment data of the stroke patients;
and calculating to obtain a factor quality evaluation value corresponding to the corresponding influence factor according to the grading rule, the average influence factor value and the median influence factor value.
4. The method according to claim 1, further comprising, before the obtaining the scoring rule corresponding to each influencing factor:
acquiring an influence curve graph of different influence factor values of each influence factor on the treatment effect;
and determining a grading rule corresponding to the corresponding influence factor according to each inflection point in the influence curve graph.
5. The method according to claim 1, wherein the calculating the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital respectively comprises:
acquiring the weight corresponding to each factor quality evaluation value;
and calculating to obtain the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital and the corresponding weight.
6. The method of claim 1, further comprising:
acquiring basic information and treatment effect of a stroke patient corresponding to each hospital, wherein the basic information comprises: age, history of illness;
determining a medical quality adjustment coefficient according to the basic information and the treatment effect;
and adjusting according to the medical quality adjustment coefficient and the medical quality evaluation value to obtain a target medical quality evaluation value corresponding to each hospital.
7. The method of claim 6, wherein determining a medical quality adjustment factor based on the basic information and the treatment effect comprises:
calculating the cure success probability according to the basic information;
and calculating to obtain a medical quality adjustment coefficient according to the cure success probability and the corresponding treatment effect of each cerebral apoplexy.
8. A medical quality assessment apparatus for stroke, characterized in that the apparatus comprises:
the data acquisition module is used for acquiring the treatment data of the stroke patient corresponding to each hospital, and the treatment data comprises: a plurality of influence factors influencing the stroke treatment effect, and influence factor values corresponding to the influence factors;
the rule obtaining module is used for obtaining a scoring rule corresponding to each influence factor;
the factor calculation module is used for calculating to obtain a factor quality evaluation value corresponding to each influence factor according to the grading rule corresponding to each influence factor and the influence factor value;
and the medical calculation module is used for respectively calculating the medical quality evaluation value corresponding to each hospital according to the factor quality evaluation value corresponding to each hospital.
9. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 7.
CN201910888109.6A 2019-09-19 2019-09-19 Method and device for evaluating medical quality of cerebral apoplexy, computer equipment and storage medium Pending CN110680280A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910888109.6A CN110680280A (en) 2019-09-19 2019-09-19 Method and device for evaluating medical quality of cerebral apoplexy, computer equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910888109.6A CN110680280A (en) 2019-09-19 2019-09-19 Method and device for evaluating medical quality of cerebral apoplexy, computer equipment and storage medium

Publications (1)

Publication Number Publication Date
CN110680280A true CN110680280A (en) 2020-01-14

Family

ID=69109605

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910888109.6A Pending CN110680280A (en) 2019-09-19 2019-09-19 Method and device for evaluating medical quality of cerebral apoplexy, computer equipment and storage medium

Country Status (1)

Country Link
CN (1) CN110680280A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116579702A (en) * 2023-04-20 2023-08-11 珠海卒明健康科技有限公司 Cerebral apoplexy diagnosis ambulance operation monitoring system based on data analysis

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104766259A (en) * 2015-03-31 2015-07-08 华据医疗评估信息技术(北京)有限公司 Medical clinical quality monitoring and evaluation system based on single-disease model
CN106777921A (en) * 2016-11-29 2017-05-31 成都中医药大学 The constructing system and method for a kind of three tree net evaluation models based on traditional Chinese medical science big data
CN109636161A (en) * 2018-11-30 2019-04-16 平安医疗健康管理股份有限公司 Disease treatment effect wire examination method, device, equipment and storage medium

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104766259A (en) * 2015-03-31 2015-07-08 华据医疗评估信息技术(北京)有限公司 Medical clinical quality monitoring and evaluation system based on single-disease model
CN106777921A (en) * 2016-11-29 2017-05-31 成都中医药大学 The constructing system and method for a kind of three tree net evaluation models based on traditional Chinese medical science big data
CN109636161A (en) * 2018-11-30 2019-04-16 平安医疗健康管理股份有限公司 Disease treatment effect wire examination method, device, equipment and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
周艳凤: "基于医患双方认知与行为的急性缺血性脑卒中溶栓治疗影响因素研究", 《中国优秀博硕士学位论文全文数据库(博士) 医药卫生科技辑》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116579702A (en) * 2023-04-20 2023-08-11 珠海卒明健康科技有限公司 Cerebral apoplexy diagnosis ambulance operation monitoring system based on data analysis
CN116579702B (en) * 2023-04-20 2024-02-20 珠海卒明健康科技有限公司 Cerebral apoplexy diagnosis ambulance operation monitoring system based on data analysis

Similar Documents

Publication Publication Date Title
US10854339B2 (en) Systems and methods for associating medical images with a patient
Kim et al. Effects of hypertension, diabetes, and smoking on age and sex prediction from retinal fundus images
CN109829894A (en) Parted pattern training method, OCT image dividing method, device, equipment and medium
DE202017104953U1 (en) Processing fundus images using machine learning models
CN112017789B (en) Triage data processing method, triage data processing device, triage data processing equipment and triage data processing medium
CN111696100A (en) Method and device for determining smoking degree based on fundus image
CN109273074B (en) Network model adjusting method and equipment for medical image
CN115985523B (en) Digital chronic disease follow-up management system
CN110619957A (en) Cerebral stroke screening method and device, storage medium and equipment
CN111951219B (en) Thyroid eye disease screening method, system and equipment based on orbit CT image
CN110680280A (en) Method and device for evaluating medical quality of cerebral apoplexy, computer equipment and storage medium
CN115862793A (en) Apparatus and method for cardiovascular medical data analysis, computer storage medium
CN116831523A (en) Alarm method, device, equipment and storage medium based on health monitoring
CN114881943A (en) Artificial intelligence-based brain age prediction method, device, equipment and storage medium
CN117133461B (en) Method and device for postoperative short-term death risk assessment of aged lung cancer patient
CN116091444A (en) Side branch evaluation method and device, storage medium and terminal
CN113782187B (en) Index data processing method, related equipment and medium
CN111938655B (en) Orbit soft tissue form evaluation method, system and equipment based on key point information
CN113782192A (en) Grouping model construction method based on causal inference and medical data processing method
CN113781405B (en) Vessel centerline extraction method, apparatus, computer device, and readable storage medium
CN111241084A (en) Medical information cleaning method, device, computer equipment and storage medium
CN117332220A (en) Correction method and device for double-frequency index of electroencephalogram signal, equipment and storage medium
Dias et al. Bias in frequently reported analyses of subfertility trials
JP2020528587A (en) Methods of classification and correlation between the pathological condition of the skin and the corresponding treatments and doses
Patel et al. Analysis and Visualization of Heart Failure Prediction Dataset

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20200114

RJ01 Rejection of invention patent application after publication