CN111833680A - Medical staff theoretical learning evaluation system and method and electronic equipment - Google Patents
Medical staff theoretical learning evaluation system and method and electronic equipment Download PDFInfo
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- G09B7/04—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation
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Abstract
The invention relates to the technical field of learning evaluation, in particular to a system and a method for evaluating theoretical learning of medical staff and electronic equipment; including a patient condition generator for randomly generating a patient condition; a patient condition simulator for simulating patient condition changes; a treatment path analysis judger for the operation and judgment of medical staff; the central controller is used for global control and data processing, the patient illness state generator transmits the randomly generated illness state to the central processor, the treatment approach analysis judger combines the problem answers input by medical staff with the patient illness state simulator to judge and then outputs the treatment result to the central processor, the central processor controls the patient illness state simulator to simulate a new illness state, and the central processor displays the process judgment result and the final evaluation result through the display after processing and analyzing.
Description
Technical Field
The invention relates to the technical field of learning evaluation, in particular to a system and a method for evaluating theoretical learning of medical staff and electronic equipment.
Background
Along with the continuous improvement of the living standard of people, corresponding medical treatment is also rapidly developed, a large number of medical workers can emerge in the process, practice is needed for the medical workers, everyone needs to pass the practice assessment which comprises theory and practice, the theoretical traditional mode is developed in the form of a universal test paper test question, the question death and the problem death cannot be closely attached to the reality to realize dynamic assessment, and the assessment result is relatively inaccurate, so that the system and the method which have the function of objectively evaluating the learning effect of a student through the test of examination software are provided.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses a system and a method for evaluating theoretical learning of medical staff and electronic equipment, which are used for solving the problems that the traditional mode of medical theoretical assessment is that all the modes of universal test paper test questions are unfolded, the question is rigid and can not be really and practically examined, and the assessment result is relatively inaccurate.
The invention is realized by the following technical scheme:
in a first aspect, the invention discloses a medical staff theoretical learning evaluation system, comprising a patient condition generator for randomly generating patient condition; a patient condition simulator for simulating patient condition changes; a treatment path analysis judger for the operation and judgment of medical staff; a display for output of results; the central controller is used for global control and data processing, the patient illness state generator transmits randomly generated illness states to the central processor, the treatment path analysis judger combines problem answers input by medical staff with the patient illness state simulator to judge and then outputs treatment results to the central processor, the central processor controls the patient illness state simulator to simulate new illness states, and the central processor displays process judgment results and final evaluation results through the display after processing and analyzing.
Further, the patient condition generator generates the patient condition by randomly defining data from a blood routine examination, an imaging examination, a special examination, a liver and kidney function examination, a stool routine examination, a urine routine examination, or other examinations.
Furthermore, the patient condition generator comprises a database, various preset patient conditions are stored in the database, and random functions are used for calling when calling, so that the fairness of evaluation is ensured.
Furthermore, if the treatment path analysis and determination device determines that one of the questions is answered incorrectly, the patient condition simulator will simulate to worsen the patient's condition, and generate corresponding consequences, so that the medical staff is required to select the correct answer again to compensate for the error, and if the selection is still wrong, the patient's condition will be further worsened.
Furthermore, the central processing unit records the treatment time of each time of the medical staff through the treatment path analysis judger, and judges whether the theoretical examination passes or not according to the simulated time of the patient condition simulator and the treatment condition of the patient.
Furthermore, each set of case of the patient condition generator is provided with 20 cases, and if the patient fails to be cured or the examination time exceeds 20min, the scores of the examinees are all calculated to be unqualified; the examination time is within 5min, and the patient is successfully cured, and the examination result is excellent; the other results are qualified.
Furthermore, all questions library answers are set in the database of the therapeutic route analyzing and judging device, and when the answers of the medical staff are received, the processor performs matching and outputs the judgment result to the central processing unit.
In a second aspect, the present invention discloses a method for evaluating theoretical learning of medical staff, which is implemented by using the system for evaluating theoretical learning of medical staff of the first aspect, and is characterized in that the method comprises the following steps:
s1 the medical staff fills in personal information, the patient state generator randomly generates a patient state;
s2 the medical staff answers the rescue questions related to the patient condition in S1 and inputs the questions to the rescue path analysis judger;
s3 the treatment path analysis judger inputs the result to the central processing unit, which receives the result and controls the patient condition simulator to simulate new condition;
s4 the medical staff continuously answers the rescue questions related to the patient' S condition in S3 according to the new condition and repeats the S3 process;
s5, judging whether the theoretical examination passes or not according to the time recorded by the central processing unit and the patient treatment condition;
s6 presents the final result on a display to complete the evaluation.
Furthermore, the judgment standard in S5 is that if the patient fails to be cured or the examination time exceeds 20min, the evaluation result is not qualified; the examination time is within 5min, and the patient is successfully cured, and the examination result is excellent; the other results are qualified.
In a third aspect, the present invention discloses an electronic device, which includes a processor and a memory storing execution instructions, wherein when the processor executes the execution instructions stored in the memory, the processor executes the method for evaluating theoretical learning of medical staff according to the second aspect.
The invention has the beneficial effects that:
the invention solves the problems that the traditional mode of the medical theory examination is developed in the form of a universal test paper test question, the question is rigid and cannot be practically and dynamically examined, and the examination result is relatively inaccurate, plays an objective evaluation role on the learning effect of a student through the test of examination software, and lays a foundation for further establishing a complete evaluation system in the future.
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 drawings without creative efforts.
FIG. 1 is a block diagram showing the structure of a theoretical learning evaluation system for medical staff;
FIG. 2 is a schematic diagram of the steps of a theoretical learning assessment method for medical personnel;
FIG. 3 is a block diagram of the structure of game-like theoretic assessment software according to the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, 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.
Example 1
This embodiment discloses a medical staff theoretical learning evaluation system as shown in fig. 1, comprising a patient condition generator for randomly generating a patient condition; a patient condition simulator for simulating patient condition changes; a treatment path analysis judger for the operation and judgment of medical staff; a display for output of results; the central controller is used for global control and data processing, the patient illness state generator transmits randomly generated illness states to the central processor, the treatment path analysis judger combines problem answers input by medical staff with the patient illness state simulator to judge and then outputs treatment results to the central processor, the central processor controls the patient illness state simulator to simulate new illness states, and the central processor displays process judgment results and final evaluation results through the display after processing and analyzing.
The patient condition generator generates the patient condition by randomly limiting the data of blood routine examination, imaging examination, special examination, liver and kidney function examination, feces routine examination, urine routine examination or other examinations.
The patient condition generator comprises a database, various preset patient conditions are stored in the database, and random functions are used for calling during calling, so that the fairness of evaluation is guaranteed.
If the treatment approach analysis judger judges that one of the questions is wrongly answered, the patient condition simulator simulates the condition deterioration of the patient to generate corresponding consequences, medical staff are required to select correct answers again to make up the mistakes, and if the selection is still wrong, the condition of the patient is further deteriorated.
The central processor records the treatment time of each time of the medical staff through the treatment path analysis judger, and judges whether the theoretical examination passes according to the time simulated by the patient condition simulator and the treatment condition of the patient.
Each set of case of the patient illness state generator is provided with 20 cases, and if the patient fails to be cured or the examination time exceeds 20min, the scores of the examinee are all calculated to be unqualified; the examination time is within 5min, and the patient is successfully cured, and the examination result is excellent; the other results are qualified.
The database of the therapeutic approach analyzing and judging device is provided with all question bank answers, and when the answers of the medical staff are received, the processor performs matching and outputs the judging result to the central processing unit.
The method solves the problems that the traditional mode of the medical theory examination is developed in the form of general test paper test questions, the question death and crime cannot be closely and practically examined, and the examination result is relatively inaccurate.
Example 2
The present embodiment discloses a method for evaluating theoretical learning of medical staff, as shown in fig. 2, which is implemented by using the system for evaluating theoretical learning of medical staff according to the first aspect, and is characterized in that the method comprises the following steps:
s1 the medical staff fills in personal information, the patient state generator randomly generates a patient state;
s2 the medical staff answers the rescue questions related to the patient condition in S1 and inputs the questions to the rescue path analysis judger;
s3 the treatment path analysis judger inputs the result to the central processing unit, which receives the result and controls the patient condition simulator to simulate new condition;
s4 the medical staff continuously answers the rescue questions related to the patient' S condition in S3 according to the new condition and repeats the S3 process;
s5, judging whether the theoretical examination passes or not according to the time recorded by the central processing unit and the patient treatment condition;
s6 presents the final result on a display to complete the evaluation.
The judgment standard in S5 is that if the patient fails to be treated successfully or the examination time exceeds 20min, the evaluation result is unqualified; the examination time is within 5min, and the patient is successfully cured, and the examination result is excellent; the other results are qualified.
The embodiment performs objective evaluation on the learning effect of the student through testing of the examination software, and lays a foundation for further establishing a complete evaluation system in the future.
Example 3
The embodiment discloses a database of a patient condition generator, when data updating or data exchange is carried out, updated data is firstly packaged into data files, a special communication application program is used for specially transmitting the data files, the data files are distributed to each point in a network in a physical copying mode or a network mode, and in order to achieve data information synchronization of each network node in a network environment, each network node must collect the received data into a local database.
In the operation of data synchronization, there are mainly four basic instructions used:
1. perform reply after Data collection (Res Data): after the remote server receives the data transmitted by the local server, the system can send the data transmission result back and forth to the local server through an instruction.
2. Data execution transfer send (Req Data): the instruction is used when the current local server transmits an encapsulated data structure or transmits update information to the remote server.
3. Execution result reply (Response): when the local server receives the instruction of the application data of the remote server, the local server replies and sends a Response execution command to the remote server.
4. Application data instruction (Request): when the remote server requests to access the data of the local server, the remote server sends a data application instruction to the local server.
When data is exchanged, two fields are needed in the database: one is that in each follow-up record, the instance _ id on the server is stored, which is used for corresponding the follow-up data in the panel and the follow-up data on the server one by one; the other is to save the time of the last synchronization, which is sent before downloading the data of the server each time, and the server will find the updated follow-up data of the tablet according to the last synchronization time.
Example 4
This embodiment discloses a theoretical assessment software developed similar to a game as shown in fig. 3: the patient's condition is in the process of gradual deterioration, and after the first kind of problem rescuers correctly treat the disease, the symptoms of the patient can be relieved until the patient recovers; if one of the questions is answered incorrectly, the patient's condition will correspondingly worsen, and corresponding consequences are generated, the rescuer needs to select the correct answer again to make up for the error, if the choice is still wrong, the patient's condition will further worsen, and so on, the software records the treatment time at the same time, and determines whether the theoretical examination passes or not according to the time and the patient's treatment condition (the related procedure is shown in fig. 3).
Each case is provided with 20 cases, and if the patient fails to be rescued or the examination time exceeds 20min, the scores of the examinees are all calculated to be unqualified; the examination time is within 5min, and the patient is successfully cured, and the examination result is excellent; the other results are qualified. Through testing of examination software, the method has an objective evaluation effect on the learning effect of the student, and lays a foundation for further establishing a complete evaluation system in the future.
Example 5
The embodiment discloses an electronic device, which comprises a processor and a memory, wherein the memory stores execution instructions, and when the processor executes the execution instructions stored in the memory, the processor executes a theoretical learning assessment method for medical staff.
In conclusion, the invention solves the problems that the traditional mode of the medical theory examination is developed in the form of a universal test paper test question, the question death and the problem are not in accordance with the actual realization of dynamic examination, and the examination result is relatively inaccurate, plays an objective evaluation role on the learning effect of a student through the test of examination software, and lays a foundation for further establishing a complete evaluation system in the future.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A medical staff theoretical learning evaluation system, comprising a patient condition generator for randomly generating a patient condition; a patient condition simulator for simulating patient condition changes; a treatment path analysis judger for the operation and judgment of medical staff; a display for output of results; the central controller is used for global control and data processing, the patient illness state generator transmits randomly generated illness states to the central processor, the treatment path analysis judger combines problem answers input by medical staff with the patient illness state simulator to judge and then outputs treatment results to the central processor, the central processor controls the patient illness state simulator to simulate new illness states, and the central processor displays process judgment results and final evaluation results through the display after processing and analyzing.
2. A medical personnel theoretical learning assessment system according to claim 1, wherein said patient condition generator generates patient condition by randomly qualifying data for blood routine tests, imaging tests, special tests, liver and kidney function tests, stool routine tests, urine routine tests or other tests.
3. A medical staff theoretical learning assessment system as claimed in claim 2, wherein said patient condition generator comprises a database, said database stores preset conditions of various patients, and random function is used for calling when calling to ensure the fairness of assessment.
4. The system as claimed in claim 1, wherein if the decision module determines that one of the questions is answered incorrectly, the patient condition simulator simulates worsening the condition of the patient with corresponding consequences, requiring the medical staff to select the correct answer again to compensate for the incorrect condition, and if the answer is still incorrect, the condition of the patient will be further worsened.
5. The system as claimed in claim 1, wherein the cpu records a treatment time of each treatment of the medical staff through the treatment path analysis determiner, and determines whether the theoretical examination passes or not according to the time simulated by the patient condition simulator and the treatment condition of the patient.
6. A medical staff theoretical learning assessment system as claimed in claim 1, wherein each case of the patient condition generator sets 20 cases, and if the patient fails to be rescued or the examination time exceeds 20min, the examinee's performance is not qualified; the examination time is within 5min, and the patient is successfully cured, and the examination result is excellent; the other results are qualified.
7. The system as claimed in claim 1, wherein the database of the therapeutic route analyzing and determining device contains all questions, and when receiving the medical staff's answer, the processor matches and outputs the determination result to the central processing unit.
8. A medical staff theoretical learning assessment method, when executed using a medical staff theoretical learning assessment system according to any of claims 1-7, characterized in that the method comprises the steps of:
s1 the medical staff fills in personal information, the patient state generator randomly generates a patient state;
s2 the medical staff answers the rescue questions related to the patient condition in S1 and inputs the questions to the rescue path analysis judger;
s3 the treatment path analysis judger inputs the result to the central processing unit, which receives the result and controls the patient condition simulator to simulate new condition;
s4 the medical staff continuously answers the rescue questions related to the patient' S condition in S3 according to the new condition and repeats the S3 process;
s5, judging whether the theoretical examination passes or not according to the time recorded by the central processing unit and the patient treatment condition;
s6 presents the final result on a display to complete the evaluation.
9. A medical staff theoretical learning assessment method as claimed in claim 8, wherein the said judgment criteria in S5 is that if the patient fails to be cured or the assessment time exceeds 20min, the assessment result is not qualified; the examination time is within 5min, and the patient is successfully cured, and the examination result is excellent; the other results are qualified.
10. An electronic device comprising a processor and a memory storing execution instructions, the processor executing the medical staff theoretical learning assessment method as claimed in claim 8 or 9 when the processor executes the execution instructions stored by the memory.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112289136A (en) * | 2020-11-10 | 2021-01-29 | 南通市第一人民医院 | Risk prediction reinforced nursing practical skill training method and system |
| CN112951384A (en) * | 2021-02-04 | 2021-06-11 | 慧影医疗科技（北京）有限公司 | Data simulation generation method and system for medical imaging equipment |
| CN114170860A (en) * | 2022-01-07 | 2022-03-11 | 深圳市第三人民医院 | Medical nursing examination system based on child patient simulation model |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100179428A1 (en) * | 2008-03-17 | 2010-07-15 | Worcester Polytechnic Institute | Virtual interactive system for ultrasound training |
| WO2013029242A1 (en) * | 2011-08-30 | 2013-03-07 | 西门子公司 | Medical training method and system thereof |
| CN103077649A (en) * | 2013-02-20 | 2013-05-01 | 中国人民解放军军事医学科学院卫生装备研究所 | Simulation training system for carrying out batch wounded triage category and treatment process training |
| CN103680234A (en) * | 2012-08-30 | 2014-03-26 | 忠欣股份有限公司 | Clinical diagnosis learning system and method |
| US20150079566A1 (en) * | 2013-09-16 | 2015-03-19 | Wisconsin Alumni Research Foundaiton | Simulator for breast imaging examinations |
| CN105225562A (en) * | 2015-11-03 | 2016-01-06 | 杜兆辉 | A kind of general practitioner's training checking system and method |
| CN106295198A (en) * | 2016-08-16 | 2017-01-04 | 南京美卡数字科技有限公司 | Standard patient system and method based on VR virtual reality technology |
| CN106296511A (en) * | 2016-08-19 | 2017-01-04 | 上海梅斯医药科技有限公司 | A kind of virtual diagnosis and therapy system |
| CN106777945A (en) * | 2016-12-07 | 2017-05-31 | 西安电子科技大学 | Clinical Thinking Ability assessment system and method |
| CN106845147A (en) * | 2017-04-13 | 2017-06-13 | 北京大数医达科技有限公司 | Medical practice summarizes method for building up, device and the data assessment method of model |
| CN107103201A (en) * | 2017-05-10 | 2017-08-29 | 北京大数医达科技有限公司 | Generation method, device and the medical path air navigation aid of medical guidance path |
| CN107895524A (en) * | 2017-12-11 | 2018-04-10 | 达静静 | A kind of physical diagnostics tutoring system |
| CN110176311A (en) * | 2019-05-17 | 2019-08-27 | 北京印刷学院 | A kind of automatic medical proposal recommending method and system based on confrontation neural network |
-
2020
- 2020-06-19 CN CN202010566901.2A patent/CN111833680A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100179428A1 (en) * | 2008-03-17 | 2010-07-15 | Worcester Polytechnic Institute | Virtual interactive system for ultrasound training |
| WO2013029242A1 (en) * | 2011-08-30 | 2013-03-07 | 西门子公司 | Medical training method and system thereof |
| CN103680234A (en) * | 2012-08-30 | 2014-03-26 | 忠欣股份有限公司 | Clinical diagnosis learning system and method |
| CN103077649A (en) * | 2013-02-20 | 2013-05-01 | 中国人民解放军军事医学科学院卫生装备研究所 | Simulation training system for carrying out batch wounded triage category and treatment process training |
| US20150079566A1 (en) * | 2013-09-16 | 2015-03-19 | Wisconsin Alumni Research Foundaiton | Simulator for breast imaging examinations |
| CN105225562A (en) * | 2015-11-03 | 2016-01-06 | 杜兆辉 | A kind of general practitioner's training checking system and method |
| CN106295198A (en) * | 2016-08-16 | 2017-01-04 | 南京美卡数字科技有限公司 | Standard patient system and method based on VR virtual reality technology |
| CN106296511A (en) * | 2016-08-19 | 2017-01-04 | 上海梅斯医药科技有限公司 | A kind of virtual diagnosis and therapy system |
| CN106777945A (en) * | 2016-12-07 | 2017-05-31 | 西安电子科技大学 | Clinical Thinking Ability assessment system and method |
| CN106845147A (en) * | 2017-04-13 | 2017-06-13 | 北京大数医达科技有限公司 | Medical practice summarizes method for building up, device and the data assessment method of model |
| CN107103201A (en) * | 2017-05-10 | 2017-08-29 | 北京大数医达科技有限公司 | Generation method, device and the medical path air navigation aid of medical guidance path |
| CN107895524A (en) * | 2017-12-11 | 2018-04-10 | 达静静 | A kind of physical diagnostics tutoring system |
| CN110176311A (en) * | 2019-05-17 | 2019-08-27 | 北京印刷学院 | A kind of automatic medical proposal recommending method and system based on confrontation neural network |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112289136A (en) * | 2020-11-10 | 2021-01-29 | 南通市第一人民医院 | Risk prediction reinforced nursing practical skill training method and system |
| CN112951384A (en) * | 2021-02-04 | 2021-06-11 | 慧影医疗科技（北京）有限公司 | Data simulation generation method and system for medical imaging equipment |
| CN114170860A (en) * | 2022-01-07 | 2022-03-11 | 深圳市第三人民医院 | Medical nursing examination system based on child patient simulation model |
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