CN115841405B - Platform for clinical care thinking training and system thereof - Google Patents
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Abstract
The invention discloses a platform for clinical care thinking training and a system thereof, belonging to the technical field of medical care. The system comprises a diagnosis module, a database, a detection module, a diagnosis analysis module, a feedback module, a learning module and a registration login module; by arranging the diagnosis module, the diagnosis module enables students to perform autonomous diagnosis training through a large amount of training data, is convenient for improving the diagnosis experience of the students and trains the thinking of the students; through setting up diagnosis analysis module, diagnosis analysis module is through comparing with the standard inspection operation of predetermineeing with the diagnosis result, obtains the test score of student, makes things convenient for statistics student's achievement of training at every turn, through setting up detection module, detection module is used for obtaining different study time and exercise time to the user of different user study grades, trains the intensity of learning and the knowledge level of being convenient for improve different users to the user of different grades.
Description
Technical Field
The invention relates to the technical field of medical care, in particular to a platform for clinical care thinking training and a system thereof.
Background
Clinical care thinking training takes clinical cases as guidance, deeply fuses and shallowly fuses common clinical diseases and relevant care knowledge, and through analysis of the clinical cases, students are guided to know occurrence, development and ending of the common clinical diseases, the pathological process, clinical manifestations, treatment principles and care measures of the diseases are associated, and corresponding diagnosis is carried out.
The prior clinical care thinking training is realized through course teaching and video teaching learning, and the students cannot conduct autonomous training.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a platform for clinical care thinking training and a system thereof, which solve the following technical problems: (1) Clinical care thinking training is achieved through course teaching and video teaching learning, and students cannot conduct autonomous training.
The aim of the invention can be achieved by the following technical scheme:
a platform for clinical care thinking training comprises a diagnosis module, a database, a detection module, a diagnosis analysis module, a feedback module, a learning module and a registration login module;
the diagnosis module is used for the user to perform autonomous diagnosis training operation;
the diagnosis analysis module is used for comparing the diagnosis result of the user with the standard inspection operation preset in the database to obtain a comparison result and sending the comparison result to the detection module;
the method comprises the steps that a checking date of a user is preset in a database, and after the set checking date is reached, the database sends a checking instruction to a detection module;
the feedback module acquires the comparison result of the diagnosis analysis module, screens the questions with high error rate and sends the questions to the diagnosis module for rechecking and learning;
the detection module is used for comparing the test score of the user on the day of the checking date with a preset score range value, obtaining a learning value of the user through a formula, comparing the learning value with a preset learning threshold value, obtaining a learning grade of the user, and adjusting the standard learning time total data and the standard exercise time total data of the user by utilizing the learning grade of the user;
the learning module is used for autonomous learning of the user; the registration login module is used for registering and logging in by the user and the manager.
Further, the diagnosis module comprises a consultation unit, a human body examination unit, a laboratory examination unit, a treatment unit and a diagnosis unit, the database sends questions to the consultation unit, the questions comprise preset patients and patient condition information, the consultation unit is used for inquiring the patients' conditions through a consultation interface of the intelligent terminal and the preset patients to obtain consultation information, and the user gives a preliminary diagnosis description to the preset patients according to the consultation information and sends the preliminary diagnosis description to the human body examination unit;
the human body checking unit is used for performing human body checking operation on the preset vital signs, physical characteristics and organ characteristics of the patient according to the preliminary diagnosis instruction by a user, obtaining human body checking information, and sending the human body checking information to the laboratory checking unit, wherein the physical characteristics comprise the height, the weight and the mental state of the patient; vital signs include blood pressure, heart rate, body temperature, and respiration of the patient; organ characteristics include the organ and body part of the patient;
the laboratory examination unit is used for carrying out experimental examination operation on a preset patient according to human body examination information by a user to obtain laboratory examination information and sending the laboratory examination information to the treatment unit, wherein the examination operation comprises hematology examination, urine examination, bone marrow cytology examination, fecal examination, body fluid examination, clinical chemistry examination, X-ray examination, ultrasonic examination and CT examination and set medical project examination;
the treatment unit is used for enabling a user to deliver medication treatment operation to a patient according to laboratory examination information, wherein the medication treatment operation comprises medicine types, medication methods, medication times and medication reasons;
the diagnosis unit is used for acquiring diagnosis results of the user and sending the diagnosis results to the diagnosis analysis module, wherein the diagnosis results comprise operations of all units except the diagnosis unit in the user diagnosis module.
Further, specific operations of the diagnostic analysis module for comparison include:
step A1: comparing the diagnosis result with the standard examination operation of the preset patient, and judging the accuracy of the user operation;
step A2: and calculating the test result of the user through the score proportion of each item of standard check operation and the accuracy of the user operation.
Further, the specific operation steps of the detection module include:
step B1: when the test result is more than or equal to CJx, judging that the user result is excellent;
step B2: when CJn is less than the test score is less than CJx, judging that the score of the user is general;
step B3: when the test score is less than or equal to CJn, judging that the user score is poor; wherein CJx and CJn are the maximum and minimum values, respectively, of the performance range value;
step B4: counting the completion time and the diagnosis setting end time of a user, and setting the ratio of the completion time to the diagnosis setting end time to SJi, i=1, 2, 3..n;
step B5: counting total learning time data of a user in a learning module and total exercise time data of the user in a diagnosis module, and marking the sum of the total learning time data and the total exercise time data as XSi, i=1, 2 and 3..n; setting the sum of the total data of the standard learning time and the total data of the standard exercise time of the user as XS0;
step B6: counting the test results of the users, and defining the test results as CSi, i=1, 2, 3..n; using a formula of learning values
Obtaining a learning value of a user, wherein CS0 is a full score, and alpha is a preset proportionality coefficient;
step B7: comparing a learning value STi of a user with a preset learning threshold SY, and judging that the learning level of the user is A1 when the STi is larger than SY and the performance is excellent; when STi is larger than SY and the score is general, judging that the learning level of the user is A2; when STi is larger than SY and the score is poor, judging that the learning level of the user is A3; when STi is smaller than SY and the performance is excellent, determining that the user learning level is A4; when STi is smaller than SY and the score is general, judging that the learning level of the user is A5; when STi is less than SY and the performance is poor, determining that the user grade is A6; a1, A2, A3, A4, A5 and A6 are defined as test results;
step B8: when the learning level of the user is A1 and A2, maintaining the standard learning time total data and standard exercise time total data of the current user; when the learning level of the user is A3, A4, A5 and A6, the value formula is modified by using the learning time
Obtaining learning time modification value, and using the userThe test results are brought into a learning time modification value formula to obtain learning time modification values of different users, wherein the learning time modification values are sum value modification values of standard learning time total data and standard exercise time total data of the users; wherein, CSI is the test score, CS0 is the full score, XS0 is the sum of the total data of the standard learning time and the total data of the standard exercise time of the user.
Further, the database is used for storing the questions in batches and standard examination operations corresponding to the questions, and the database is simultaneously used for storing registration information of users and doctors and management information of management staff.
Further, the learning module comprises inquiry learning data, physical examination learning data and hospital communication learning data, the user finishes the teaching of inquiry learning, physical examination learning and hospital communication learning by clicking the corresponding data, and the learning module records the learning time of the user.
Further, the registration login module comprises a user login unit and a management login unit, the user login unit is used for submitting registration information for registration by a learner and a doctor and sending registration information which is successful in registration to the database for storage, the registration information comprises names, identification numbers, department, grades and classes of the learner and the doctor, the learner and the doctor can inquire information stored in the database through the registration login module, the management login unit is used for submitting management information for registration by a manager and sending management information which is successful in registration to the database for storage, and the management information comprises names, mobile phone numbers and identification numbers of the manager.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the diagnosis module is arranged, so that a student can perform autonomous diagnosis training through a large amount of training data, the diagnosis experience of the student is improved, and the thinking of the student is trained; the diagnosis analysis module is used for comparing the diagnosis result with a preset standard checking operation, obtaining the test result of a student, facilitating statistics of the training results of the student each time, the detection module is used for comparing the diagnosis result of a user with the preset standard checking operation in the database, obtaining a comparison result and sending the comparison result to the detection module, the detection module is used for comparing the test result of the user on the same day of checking date with a preset result range value, obtaining the learning value of the user through a formula and comparing the learning value with a preset learning threshold value, obtaining the learning grade of the user, adjusting the standard learning time total data and the standard training time total data of the user by utilizing the learning grade of the user, obtaining different learning time and training time for the user with different grades, facilitating improvement of the learning strength and knowledge level of the user with different grades, and simultaneously utilizing the detection module to carry out omnibearing assessment on the user, thereby effectively avoiding influence on the learning time of the user due to single play of abnormal result difference.
Drawings
FIG. 1 is a system block diagram of a platform for clinical care thought training of the present invention.
FIG. 2 is a block diagram of a diagnostic module according to the present invention.
Detailed Description
The invention will be described in further detail with reference to the drawings and the detailed description. The embodiments of the invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Referring to fig. 1-2, the invention is a platform for clinical care thinking training and a system thereof, comprising a diagnosis module, a database, a detection module, a diagnosis analysis module, a feedback module, a learning module and a registration login module.
The diagnosis module comprises a consultation unit, a human body examination unit, a laboratory examination unit, a treatment unit and a diagnosis unit, and is used for the user to perform autonomous diagnosis training operation, so that the diagnosis module enables the user to perform autonomous diagnosis training through a large amount of training data, the diagnosis experience of the user is convenient to improve, the thinking of the user is trained, and the diagnosis module is simultaneously used for recording the total training time data of the user;
the database is used for sending questions to a consultation unit, wherein the questions comprise preset patients and patient condition information, the consultation unit is used for inquiring the patients and inquiring the patient condition through a consultation interface of the intelligent terminal, and the user gives a preliminary diagnosis instruction to the preset patients according to the consultation information and sends the preliminary diagnosis instruction to the human body examination unit; the intelligent terminal is a computer;
the human body checking unit is used for performing human body checking operation on vital signs, physical features and organ features of a preset patient according to the preliminary diagnosis instruction by a user, obtaining human body checking information, and sending the human body checking information to the laboratory checking unit, wherein the physical features comprise physical sign information such as height, weight and mental state of the patient; vital sign information such as blood pressure, heart rate, body temperature, respiration and the like of a patient; organ characteristics include the organ and body part of the patient;
the laboratory examination unit is used for carrying out experimental examination operation on a preset patient according to human body examination information by a user to obtain laboratory examination information and sending the laboratory examination information to the treatment unit, wherein the experimental examination operation comprises various medical project examination such as hematology examination, urine examination, bone marrow cytology examination, fecal examination, body fluid examination, clinical chemistry examination, X-ray examination, ultrasonic examination, CT examination and the like;
the treatment unit is used for enabling a user to deliver medication treatment operation to a patient according to laboratory examination information, wherein the medication treatment operation comprises medicine types, medication methods, medication times and medication reasons;
the diagnosis unit is used for acquiring diagnosis results of the user and sending the diagnosis results to the diagnosis analysis module, wherein the diagnosis results comprise operations of all units except the diagnosis unit in the user diagnosis module.
The database is used for storing batched questions and standard examination operations corresponding to the questions, the questions comprise preset patients and patient condition information, the preset patients are persons with diseases, the patient condition information is the condition information of the persons with the diseases, and the database is simultaneously used for storing registration information of users and management information of management staff.
The diagnosis analysis module is used for comparing the diagnosis result of the user with the standard inspection operation preset in the database to obtain a comparison result, sending the comparison result to the detection module, simultaneously sending the analysis result to the database for storage, and leading out the comparison result in the diagnosis analysis module by the user; the diagnosis analysis module compares the diagnosis result with a preset standard inspection operation to obtain the test result of the user, stores the test result of the user at the same time, and is convenient for counting the training result of the user each time, wherein the specific operation of the diagnosis analysis module for comparison comprises the following steps:
step A1: comparing the diagnosis result with the standard examination operation of the preset patient, and judging the accuracy of the user operation;
step A2: and calculating the test result of the user through the score proportion of each item of standard check operation and the accuracy of the user operation.
The database is preset with the assessment date of the user, the manager can adjust the assessment date of the user, after the set assessment date is reached, the database sends an assessment instruction to the detection module, and meanwhile the database is used for storing a preset learning threshold value, a preset achievement range value and a preset threshold value.
When the detection module receives an examination instruction sent by the database, the detection module compares the test score of a user on the day of examination date with a preset score range value, obtains a learning value of the user through a formula, compares the learning value with a preset learning threshold value, obtains a learning grade of the user, adjusts standard learning time total data and standard exercise time total data of the user by using the learning grade of the user, obtains different learning time and exercise time for the user of different user learning grades, carries out professional knowledge data learning by the learning module and diagnosis training by the diagnosis module, and carries out training for the user of different grades so as to improve the learning strength and knowledge level of the user of different grades, wherein the detection module comprises the following specific operation steps:
step B1: when the test result is more than or equal to CJx, judging that the user result is excellent;
step B2: when CJn is less than the test score is less than CJx, judging that the score of the user is general;
step B3: when the test score is less than or equal to CJn, judging that the user score is poor; wherein CJx and CJn are the maximum and minimum values, respectively, of the performance range value;
step B4: counting the completion time and the diagnosis setting end time of a user, and setting the ratio of the completion time to the diagnosis setting end time to SJi, i=1, 2, 3..n;
step B5: counting total learning time data of a user in a learning module and total exercise time data of the user in a diagnosis module, and marking the sum of the total learning time data and the total exercise time data as XSi, i=1, 2 and 3..n; setting the sum of the total data of the standard learning time and the total data of the standard exercise time of the user as XS0;
step B6: counting the test results of the users, and defining the test results as CSi, i=1, 2, 3..n; using a formula of learning values
Obtaining a learning value of a user, wherein CS0 is a full score, and alpha is a preset proportionality coefficient;
step B7: comparing a learning value STi of a user with a preset learning threshold SY, and judging that the learning level of the user is A1 when the STi is larger than SY and the performance is excellent; when STi is larger than SY and the score is general, judging that the learning level of the user is A2; when STi is larger than SY and the score is poor, judging that the learning level of the user is A3; when STi is smaller than SY and the performance is excellent, determining that the user learning level is A4; when STi is smaller than SY and the score is general, judging that the learning level of the user is A5; when STi is less than SY and the performance is poor, determining that the user grade is A6; a1, A2, A3, A4, A5 and A6 are defined as test results;
step B8: when the learning level of the user is A1 and A2, the standard of the current user is maintainedLearning time total data and standard exercise time total data; when the learning level of the user is A3, A4, A5 and A6, the value formula is modified by using the learning time
Obtaining a learning time modification value, and bringing test results of users into a learning time modification value formula to obtain learning time modification values of different users, wherein the learning time modification value is a sum value modification value of standard learning time total data and standard exercise time total data of the users; wherein, CSI is a test score, CS0 is a full score, XS0 is the sum of the total data of the standard learning time and the total data of the standard training time of the user; through the arrangement, the influence of poor performance of single play on the learning time of the user is effectively avoided.
The feedback module obtains the comparison result of the diagnosis analysis module, obtains the average correct rate and the average error rate of the questions according to the correct rate of each unit operation of the user, defines the error rate as C, and meanwhile, arranges the error rates of different questions in a descending order, sets a preset threshold H of the error rate, and when C is more than H, sends the questions with the error rate higher than the preset threshold to the diagnosis module for rechecking and learning, so that the grasping degree of the user on the questions is improved.
The detection module is utilized to carry out omnibearing assessment on the user, so that the influence of single play of abnormal score difference on the total data of the standard learning time and the total data of the standard training time of the user is effectively avoided.
The learning module is used for autonomous learning of the user, the user learns the expert knowledge through the learning module, the learning module comprises inquiry learning data, physical examination learning data and hospital communication learning data, the user can complete the teaching of inquiry learning, physical examination learning and hospital communication learning by clicking the corresponding data, and the learning module records the total learning time data of the learner.
The registration login module is used for registering and logging in of a user and a manager, the registration login module comprises a user login unit and a management login unit, the user login unit is used for submitting registration information for registering by a learner and a doctor and sending the registration information which is successful in registering to a database for storage, the registration information comprises names, identification card numbers, hospital systems, grades and classes of the learner and the doctor, the learner and the doctor can inquire information stored in the database through the registration login module, the management login unit is used for submitting management information for registering by the manager and sending the management information which is successful in registering to the database for storage, the management information comprises names, mobile phone numbers and identification card numbers of the manager, the manager has the functions of adjusting the registration information in the registration login module with authority, adding, editing, deleting and the like, and adjusting preset various data in the database.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (2)
1. The platform for clinical care thinking training is characterized by comprising a diagnosis module, a database, a detection module, a diagnosis analysis module, a feedback module, a learning module and a registration login module;
the diagnosis module is used for the user to perform autonomous diagnosis training operation;
the diagnosis analysis module is used for comparing the diagnosis result of the user with the standard inspection operation preset in the database to obtain a comparison result and sending the comparison result to the detection module;
the method comprises the steps that a checking date of a user is preset in a database, and after the set checking date is reached, the database sends a checking instruction to a detection module;
the feedback module acquires the comparison result of the diagnosis analysis module, screens the questions with high error rate and sends the questions to the diagnosis module for rechecking and learning;
the detection module is used for comparing the test score of the user on the day of the checking date with a preset score range value, obtaining a learning value of the user through a formula, comparing the learning value with a preset learning threshold value, obtaining a learning grade of the user, and adjusting the standard learning time total data and the standard exercise time total data of the user by utilizing the learning grade of the user;
the learning module is used for autonomous learning of the user; the registration login module is used for registering and logging in by the user and the manager;
the diagnosis module comprises a consultation unit, a human body examination unit, a laboratory examination unit, a treatment unit and a diagnosis unit, wherein the database sends questions to the consultation unit, the questions comprise preset patients and patient condition information, the consultation unit is used for inquiring the patients' conditions through a consultation interface of the intelligent terminal and the preset patients to obtain consultation information, and the user gives a preliminary diagnosis description to the preset patients according to the consultation information and sends the preliminary diagnosis description to the human body examination unit;
the human body checking unit is used for performing human body checking operation on the preset vital signs, physical characteristics and organ characteristics of the patient according to the preliminary diagnosis instruction by a user, obtaining human body checking information, and sending the human body checking information to the laboratory checking unit, wherein the physical characteristics comprise the height, the weight and the mental state of the patient; vital signs include blood pressure, heart rate, body temperature, and respiration of the patient; organ characteristics include the organ and body part of the patient;
the laboratory examination unit is used for carrying out experimental examination operation on a preset patient according to human body examination information by a user to obtain laboratory examination information and sending the laboratory examination information to the treatment unit, wherein the examination operation comprises hematology examination, urine examination, bone marrow cytology examination, fecal examination, body fluid examination, clinical chemistry examination, X-ray examination, ultrasonic examination and CT examination and set medical project examination;
the treatment unit is used for enabling a user to deliver medication treatment operation to a patient according to laboratory examination information, wherein the medication treatment operation comprises medicine types, medication methods, medication times and medication reasons;
the diagnosis unit is used for acquiring a diagnosis result of a user and sending the diagnosis result to the diagnosis analysis module, wherein the diagnosis result comprises operations of all units except the diagnosis unit in the user diagnosis module;
specific operations of the diagnostic analysis module for comparison include:
step A1: comparing the diagnosis result with the standard examination operation of the preset patient, and judging the accuracy of the user operation;
step A2: calculating the test score of the user by checking the score proportion of each item through a standard and the accuracy of the user operation;
the specific operation steps of the detection module comprise:
step B1: when the test result is more than or equal to CJx, judging that the user result is excellent;
step B2: when CJn is less than the test score is less than CJx, judging that the score of the user is general;
step B3: when the test score is less than or equal to CJn, judging that the user score is poor; wherein CJx and CJn are the maximum and minimum values, respectively, of the performance range value;
step B4: counting the completion time and the diagnosis setting end time of a user, and setting the ratio of the completion time to the diagnosis setting end time to SJi, i=1, 2, 3..n;
step B5: counting total learning time data of a user in a learning module and total exercise time data of the user in a diagnosis module, and marking the sum of the total learning time data and the total exercise time data as XSi, i=1, 2 and 3..n; setting the sum of the total data of the standard learning time and the total data of the standard exercise time of the user as XS0;
step B6: counting the test results of the users, and defining the test results as CSi, i=1, 2, 3..n; using a formula of learning values
Obtaining a learning value of a user, wherein CS0 is a full score, and alpha is a preset proportionality coefficient;
step B7: comparing a learning value STi of a user with a preset learning threshold SY, and judging that the learning level of the user is A1 when the STi is larger than SY and the performance is excellent; when STi is larger than SY and the score is general, judging that the learning level of the user is A2; when STi is larger than SY and the score is poor, judging that the learning level of the user is A3; when STi is smaller than SY and the performance is excellent, determining that the user learning level is A4; when STi is smaller than SY and the score is general, judging that the learning level of the user is A5; when STi is less than SY and the performance is poor, determining that the user grade is A6; a1, A2, A3, A4, A5 and A6 are defined as test results;
step B8: when the learning level of the user is A1 and A2, maintaining the standard learning time total data and standard exercise time total data of the current user; when the learning level of the user is A3, A4, A5 and A6, the value formula is modified by using the learning time
Obtaining a learning time modification value, and bringing test results of users into a learning time modification value formula to obtain learning time modification values of different users, wherein the learning time modification value is a sum value modification value of standard learning time total data and standard exercise time total data of the users; wherein, CSI is a test score, CS0 is a full score, XS0 is the sum of the total data of the standard learning time and the total data of the standard training time of the user;
the database is used for storing batch titles and standard examination operations corresponding to the titles, and is simultaneously used for storing registration information of users and doctors and management information of management staff;
the learning module comprises inquiry learning data, physical examination learning data and hospital communication learning data, the user finishes the teaching of inquiry learning, physical examination learning and hospital communication learning by clicking the corresponding data, and the learning module records the learning time of the user;
the registration login module comprises a user login unit and a management login unit, wherein the user login unit is used for submitting registration information by a learner and a doctor to register and sending the registration information which is successfully registered to the database for storage, the registration information comprises names, identification numbers, hospital systems, grades and classes of the learner and the doctor, the learner and the doctor can inquire the information stored in the database through the registration login module, the management login unit is used for submitting management information by a manager to register and sending the management information which is successfully registered to the database for storage, and the management information comprises the names, the mobile phone numbers and the identification numbers of the manager.
2. A system for clinical care thinking training comprising the platform for clinical care thinking training of claim 1.
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