CN111863254B - Method, system and equipment for evaluating questioning and examining body based on simulated patient - Google Patents
Method, system and equipment for evaluating questioning and examining body based on simulated patient Download PDFInfo
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- CN111863254B CN111863254B CN202010639971.6A CN202010639971A CN111863254B CN 111863254 B CN111863254 B CN 111863254B CN 202010639971 A CN202010639971 A CN 202010639971A CN 111863254 B CN111863254 B CN 111863254B
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
Abstract
The invention relates to a method, a system and equipment for evaluating a consultation examination body based on a simulated patient, which belong to the technical field of consultation evaluation. The evaluation is objectively, fairly and correctly given to the user, the workload of manual evaluation is reduced, the evaluation is careful, each evaluation item can be traced back, the achievement of the user can be saved, and meanwhile, the user can find the weak aspect of the user. Based on the real simulated patient diagnosis and treatment scene acquisition data, a user can more easily accept and adapt to investigation in a real scene, and the due level is exerted.
Description
Technical Field
The invention belongs to the technical field of inquiry evaluation, and particularly relates to an inquiry examination evaluation method, system and equipment based on a simulated patient.
Background
Interrogation and physical examination are important means for diagnosing diseases and maintaining physical health. The medical student or the internist can reasonably evaluate the inquiry and physical examination skill grasping conditions, thereby improving the defects of the medical student or the internist, and being an important means for improving the inquiry and physical examination skills of the medical student or the internist.
In the prior art, the evaluation modes of inquiry and physical examination have little difference, and are all aimed at examining the basic mastery condition of trained personnel on inquiry and physical examination. However, the method is also limited by the self-establishment of each hospital and medical college, and has no unified scheme, and subjective factors are unavoidable because the method is a human participation investigation.
Therefore, how to reasonably evaluate the professional skills of medical students or trainees is a problem to be solved in the prior art.
Disclosure of Invention
In order to solve at least the above problems in the prior art, the present invention provides a method, system and apparatus for evaluating a patient-based questionnaire.
The technical scheme provided by the invention is as follows:
in one aspect, a method of screening for evaluation based on simulated patients includes:
receiving a selection instruction, and determining target case information in a preset case library according to the selection instruction;
Acquiring at least one item of target inquiry examination information based on the target case information and the simulated patient, and judging the matching degree of each item of target inquiry examination information and a first preset word stock; if the target inquiry and diagnosis information comprises the matching item in the first preset word stock, evaluating the target inquiry and diagnosis information according to a first evaluation rule corresponding to the matching item to obtain a first evaluation result;
if the target inquiry and diagnosis body information does not contain the matching item in the first preset word stock, judging the matching degree of the target inquiry and diagnosis body information and a second preset word stock; if the target inquiry and diagnosis information comprises the matching item in the second preset word stock, evaluating the target inquiry and diagnosis information according to a second evaluation rule corresponding to the matching item to obtain a second evaluation result;
and acquiring a final evaluation result of the acquisition target inquiry examination body information according to the first evaluation result and/or the second evaluation result and a preset evaluation reference.
Optionally, the evaluating the target query body information according to the second evaluation rule corresponding to the matching item, to obtain a second evaluation result includes:
If the target inquiry and diagnosis information comprises a unique matching item in the second preset word stock, evaluating the target inquiry and diagnosis information according to a second evaluation rule corresponding to the unique matching item to obtain a second evaluation result;
if the target inquiry and examination body information contains at least 2 matching items in the second preset word stock, evaluating the target inquiry and examination body information according to a second evaluation sub-rule corresponding to each matching item, and acquiring second evaluation sub-results with the same number as the matching items; and obtaining the second evaluation result according to the second evaluation sub-result.
Optionally, after the target query body information includes at least 2 matching items in the second preset word stock, the method further includes:
and acquiring the unique matching item according to a preset rule.
Optionally, the second evaluation rule includes:
judging whether the unique matching item is matched with the second preset database for the first time, if so, evaluating according to the primary and secondary degree of the target inquiry body information;
and if the target query body information is not matched with the second preset database for the first time, evaluating the target query body information according to the primary and secondary degrees and the association relation between the target query body information and the previous item of target query body information.
Optionally, the evaluating the target inquiry body information according to the primary and secondary degrees and the association relation between the target inquiry body information and the previous item of inquiry body information includes:
if the previous item of target inquiry volume information is a main problem, the target inquiry volume information is a secondary problem, and the target inquiry volume information is immediately adjacent to the previous item of target inquiry volume information, the target inquiry volume information is evaluated as possible; if the target inquiry body information is a main problem and the target inquiry body information is close to the previous item of target inquiry body information, evaluating the target inquiry body information to be very good; if the target inquiry volume information is a main problem and the target inquiry volume information is not connected with the previous item of target inquiry volume information, or if the target inquiry volume information is a secondary problem and the target inquiry volume information is not connected with the previous item of target inquiry volume information, evaluating that the target inquiry volume information is good;
if the previous item of target inquiry volume information is a secondary problem, the target inquiry volume information is a secondary problem, and the target inquiry volume information is close to the previous item of target inquiry volume information, the target inquiry volume information is evaluated as ok; if the target inquiry body information is a main problem and the target inquiry body information is close to the previous item of target inquiry body information, evaluating the target inquiry body information to be very good; and if the target inquiry body information is a main problem and the target inquiry body information is not connected with the previous item of target inquiry body information, or if the target inquiry body information is a secondary problem and the target inquiry body information is not connected with the previous item of target inquiry body information, evaluating that the target inquiry body information is good.
Optionally, the method further comprises:
constructing a preset case library;
and respectively constructing a first preset word stock and a second preset word stock corresponding to the case information in the case stock according to the preset case stock.
In yet another aspect, a patient simulator-based questionnaire assessment system comprises: the device comprises a receiving module, an acquisition module and a processing module;
the receiving module is used for receiving a selection instruction and determining target case information in a preset case library according to the selection instruction;
the acquisition module is used for acquiring at least one item of target inquiry examination information based on the target case information and the simulated patient;
the processing module is used for determining target case information in a preset case library according to the selection instruction; the method comprises the steps of judging the matching degree of each piece of target inquiry examination information and a first preset word stock; if the target inquiry and diagnosis information comprises the matching item in the first preset word stock, evaluating the target inquiry and diagnosis information according to a first evaluation rule corresponding to the matching item to obtain a first evaluation result; if the target inquiry and diagnosis body information does not contain the matching item in the first preset word stock, judging the matching degree of the target inquiry and diagnosis body information and a second preset word stock; if the target inquiry and diagnosis information comprises the matching item in the second preset word stock, evaluating the target inquiry and diagnosis information according to a second evaluation rule corresponding to the matching item to obtain a second evaluation result; and the final evaluation result of the acquisition target inquiry body information is acquired according to the first evaluation result, the second evaluation result and a preset evaluation standard after the end information is acquired.
Optionally, the receiving module is a display; the acquisition module is sound equipment; the processing module is a controller.
Optionally, the number of the sound devices is 2; the 2 sound devices are respectively arranged at the simulated patient side and the user side through a microphone array technology.
An optional patient-based questionnaire evaluation apparatus comprising: a processor, and a memory coupled to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the method for evaluating the questionnaire based on the simulated patient;
the processor is configured to invoke and execute the computer program in the memory.
The beneficial effects of the invention are as follows:
according to the method, the system and the equipment for evaluating the questioning and examining body based on the simulated patient, the simulated patient is arranged, the first preset word stock and the second preset word stock are preset, so that a user can directly conduct the questioning and examining body with the system, whether the user aims at target case information or not is judged according to the dialogue between the user and the simulated patient, and questions and flows of the first preset word stock and the second preset word stock are questioned and examined, so that evaluation is conducted. The evaluation is objectively, fairly and correctly given to the user, the workload of manual evaluation is reduced, the evaluation is careful, each evaluation item can be traced back, the achievement of the user can be saved, and meanwhile, the user can find the weak aspect of the user. Based on the real simulated patient diagnosis and treatment scene acquisition data, a user can more easily accept and adapt to investigation in a real scene, and the due level is exerted.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for evaluating a consultation on the basis of a simulated patient according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a second evaluation rule flow provided in an embodiment of the present invention;
FIG. 3 is a schematic diagram of a system for evaluating a patient-based questioning and examining system according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of another exemplary system for evaluating a patient based on a simulated patient inquiry according to an embodiment of the present invention;
FIG. 5 is a schematic view of the sound collection of FIG. 4;
fig. 6 is a schematic structural diagram of a query evaluation device based on a simulated patient according to an embodiment of the present invention.
Reference numerals: 1-a receiving module; 2-an acquisition module; 3-a processing module; 1A-a display; 2A-sound acquisition device; 3A-a controller; 4-a camera; 61-a processor; 62-memory.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, based on the examples herein, which are within the scope of the invention as defined by the claims, will be within the scope of the invention as defined by the claims.
In the prior art, the evaluation modes of inquiry and physical examination have little difference, and are all aimed at examining the basic mastery condition of trained personnel on inquiry and physical examination. However, the method is also limited by the self-establishment of each hospital and medical college, and has no unified scheme, and subjective factors are unavoidable because the method is a human participation investigation.
Therefore, how to reasonably evaluate the professional skills of medical students or internists and provide targeted training for consultation is a problem to be solved in the prior art.
Based on the above, the embodiment of the invention provides a method for evaluating a query based on a simulated patient.
Fig. 1 is a schematic flow chart of a method for evaluating a query based on a simulated patient according to an embodiment of the present invention, referring to fig. 1, the method provided by the embodiment of the present invention may include the following steps:
S1, receiving a selection instruction, and determining target case information in a preset case library according to the selection instruction.
Specifically, the method for evaluating the questioning and examining body based on the simulated patient provided by the application can be used for evaluating a learner or other users needing to perform medical technology evaluation, and is not particularly limited herein.
The person to be evaluated or the main evaluator can select the case information of the to-be-diagnosed body. For example, a case library may be preset, multiple case information may be edited and stored in the preset case library, and a user or a main evaluator may select certain case information in the preset case library as target case information, so as to evaluate the person to be evaluated based on the target case information.
For example, the target case information may be selected through the display, and the text query evaluation system receives the selection instruction, so as to determine the target case information in the preset case library.
S2, acquiring at least one item of target inquiry examination information based on target case information and a simulated patient, and judging the matching degree of each item of target inquiry examination information and a first preset word stock; if the target inquiry and query body information contains the matching item in the first preset word stock, evaluating the target inquiry and query body information according to a first evaluation rule corresponding to the matching item, and obtaining a first evaluation result.
Specifically, the simulated patient (Simulate Patients, abbreviated as SP) refers to healthy people who can accurately represent actual clinical symptoms (including partial signs) of the patient after standardized and systematic training, and can give certain feedback to the learning condition of students in the simulation.
After the target case information is determined, the virtual patient is the patient of the target case, the to-be-evaluated person starts to carry out inquiry examination on the virtual patient, and the virtual patient makes a corresponding reaction according to the target case information. For example, the to-be-evaluated person can perform inquiry and query body information interaction with the virtual patient, for example, a one-to-one voice interaction mode is adopted, the evaluation system receives at least one piece of target inquiry and query body information of the to-be-evaluated person, and the matching degree of each piece of target inquiry body information and the first preset word stock is judged.
For example, the sound collection device may be used to receive the target inquiry information, and after receiving the target inquiry information, the evaluation system converts the target inquiry information into text, and compares the text with the first predicted word stock, where the first predicted word stock may be a forbidden word stock.
When judging that the target inquiry and diagnosis information comprises forbidden words in the forbidden word library, evaluating the item of target inquiry and diagnosis information according to a first evaluation rule corresponding to the forbidden words, and recording a first evaluation result. Wherein disabling words in the word stock may include: perhaps, presumably, possibly, should, etc., the corresponding first evaluation rule may be: deduction by 5 points, etc., it should be noted that the forbidden word stock and the first evaluation rule are listed here only and are not limiting.
S3, if the target inquiry and examination body information does not contain the matching item in the first preset word stock, judging the matching degree of the target inquiry and examination body information and the second preset word stock; if the target inquiry and query body information contains the matching item in the second preset word stock, evaluating the target inquiry and query body information according to a second evaluation rule corresponding to the matching item, and obtaining a second evaluation result.
Specifically, the first preset word stock still takes the forbidden word stock as an example for explanation. And when judging that no forbidden word exists in the target inquiry and diagnosis body information, judging the matching degree of the target inquiry and diagnosis body information and the second preset word stock. For example, the second preset word stock may be a preset query flow chart, and the flow chart may include: outline: introduction, present history, past history, system review, personal history, family history, other questions of interest, end of consultation, general examination/vital signs, head and neck, upper limb, back, breast, forebreast and lung, heart, abdomen, lower limb, etc.; related skills: chronology, transitional language, summary, verification of the certification, praise and encouragement, patient's opinion, concerns about disease effects, concerns about support aids and sources, concerns about patient expectations, checks on patient's understanding, acknowledges insufficient experience, encourages patient questions, and ends; checking the item: hand washing, body temperature measurement, pulse measurement with one hand, pulse measurement with both hands, respiration measurement, placement of a sphygmomanometer, exposure of the upper arm, opening of the sphygmomanometer and zeroing, cuff binding, palpation of the brachial artery, inflation, deflation, blood pressure meter collection, lower eyelid examination, upper eyelid examination, facial nerve examination, eye movement examination, direct light reflex examination, indirect light reflex examination, aggregate reflex examination, external auditory canal examination, etc.
And traversing keywords in the inquiry flow chart when the keyword is compared with the inquiry flow chart, and evaluating the target inquiry flow chart according to a second evaluation rule corresponding to the matching item when the keyword of the inquiry flow chart is contained in the target inquiry flow chart, so as to obtain a second evaluation result. For example, the second evaluation rule may be: self-introduction (your, i are practicing doctors XXX) -1 score, wherein the keywords are: i are that the substitute keywords may be: i call, it should be noted that the second evaluation rule is listed here, and is not limited thereto. If no matching item exists after traversing the key in the comparison flow table, the item is not scored for the subject query.
Optionally, evaluating the target inquiry body information according to a second evaluation rule corresponding to the matching item, to obtain a second evaluation result, including: if the target inquiry body information contains a matching item in a unique second preset word stock, evaluating the target inquiry body information according to a second evaluation rule corresponding to the unique matching item to obtain a second evaluation result; if the target inquiry and examination information contains at least 2 matching items in a second preset word stock, evaluating the target inquiry and examination information according to a second evaluation sub-rule corresponding to each matching item, and acquiring second evaluation sub-results with the same number as the matching items; and obtaining a second evaluation result according to the second evaluation sub-result.
Specifically, when the matching items exist in the flow chart in the target inquiry examination information, the number of the matching items is judged. And if the number of the matching items is 1, evaluating according to a preset second evaluation rule. And if the matching item comprises at least 2 matching items, evaluating each matching item, recording a second sub-evaluation result, and acquiring a second evaluation result according to each second sub-evaluation result. For example, each second sub-evaluation result may be made to set a different duty ratio according to the specific content of each matching item, thereby obtaining a final second evaluation result.
Fig. 2 is a schematic diagram of a second evaluation rule flow provided in an embodiment of the present invention. Alternatively, the second evaluation rule may be: judging whether the unique matching item is matched with the second preset database for the first time, if so, evaluating according to the primary and secondary degree of the target inquiry examination body information; if the target questioning body information is not matched with the second preset database for the first time, evaluating the target questioning body information according to the primary and secondary degree and the association relation of the target questioning body information and the previous item of the target questioning body information.
For example, referring to fig. 2, the second preset database still takes the flowchart as an example, and determines whether to enter the flowchart for the first time, if the target query is the first major problem in the flowchart, then the second preset database evaluates as follows: cool, record the current process item, record the score and related skill; if the target inquiry body information is the first secondary problem of the flow chart, evaluating as Prefect, recording the current flow chart item, recording the score and the related skills; if the target inquiry body information is the first major problem and the second major problem of the non-flow chart, the target inquiry body information is evaluated as follows: good, record current process item, record score and related skills. Optionally, a 4 th criterion may be added, and if the criterion matches the forbidden word, the speech is given a Bad evaluation, the current flow item is recorded, and the score and the related skill are recorded.
If the flow chart is not entered for the first time, if the previous item of target query volume information is a main problem, the target query volume information is a secondary problem, and the target query volume information is immediately adjacent to the previous item of target query volume information, the target query volume information is evaluated as possible; if the target inquiry volume information is a main problem and the target inquiry volume information is immediately adjacent to the previous item of target inquiry volume information, evaluating the target inquiry volume information is very good; if the target questioning and diagnosing body information is a main problem and the target questioning and diagnosing body information is not connected with the previous item of the target questioning and diagnosing body information, or if the target questioning and diagnosing body information is a secondary problem and the target questioning and diagnosing body information is not connected with the previous item of the target questioning and diagnosing body information, evaluating the target questioning and diagnosing body information as good; if the previous item of target inquiry volume information is a secondary problem, the target inquiry volume information is a secondary problem, and the target inquiry volume information is immediately adjacent to the previous item of target inquiry volume information, the target inquiry volume information is evaluated as possible; if the target inquiry volume information is a main problem and the target inquiry volume information is immediately adjacent to the previous item of target inquiry volume information, evaluating the target inquiry volume information is very good; if the target questionnaire information is a main problem and the target questionnaire information is not connected with the previous item of the target questionnaire information, or if the target questionnaire information is a secondary problem and the target questionnaire information is not connected with the previous item of the target questionnaire information, the target questionnaire information is preferably evaluated.
For example, if the target inquiry volume information is "what your age is" not the first time to enter the flow chart, that is, in the inquiry volume process, the question is not first inquired, then it is determined whether the last item of target inquiry volume information is a main question, if the last item is a main question, the present target inquiry volume information is a secondary question, and immediately following the flow item of the last target inquiry volume information, then the target inquiry volume information may be evaluated as Cool, the current flow item is recorded, and the score and related skill are recorded; if the last item is the main problem and the target inquiry information is the main problem and is close to the flow item of the last target inquiry information, the target inquiry information can be evaluated as Prefect, the current flow item is recorded, and the score and the related skills are recorded; if the last is the main question and the present target inquiry information is the secondary question or the main question and the process item of the last target inquiry information is not immediately adjacent to the last target inquiry information, the target inquiry information can be evaluated as Good, the current process item can be recorded, and the score and the related skills can be recorded.
For example, if the last item is a secondary question and the present target inquiry volume information is a secondary question and is immediately adjacent to the flow item of the last target inquiry information, then the target inquiry information may be evaluated as Cool, the current flow item is recorded, and the score and related skills are recorded; if the last question is a secondary question and the target inquiry information is a main question and is close to the flow item of the last target inquiry information, the target inquiry information can be evaluated as Prefect, the current flow item is recorded, and the score and the related skills are recorded; if the last item is a secondary problem and the target inquiry information is a secondary problem or a primary problem and the last item is not immediately followed by the last item, the target inquiry information can be evaluated as Good, the current item can be recorded, and the score and related skills can be recorded.
The user may directly define the problem according to specific conditions, which is not described herein. Similarly, each flow item in the flow table may be edited in advance.
After judging that the target inquiry examination information does not enter the flow chart for the first time, searching and storing the completed flow chart, if yes, recording the skill as repeated inquiry and recording the corresponding flat evaluation score.
For example, the target inquiry volume information corresponds to an outline of a flow chart: in introduction, the question type is a secondary question; the upper item of inquiry information is the main problem; the target inquiry information is as follows: you good, i are the practicing physician XXX; the content answers are: you are good, doctor; the scoring content is self-introduction; related skills: the method is free; the score is: 1, dividing; checking the item: the method is free; the key words are: i are that the substitute keywords may be: i call. It should be noted that this is only an example and is not limiting.
Optionally, if the target query body information includes at least 2 matching items in the second preset word stock, the method further includes: and acquiring the unique matching item according to a preset rule.
For example, after traversing the keywords in the comparison flow table, determining that there are at least two matches, scoring the skill continuity questions involved by each match; or, querying a completed task dictionary (when completing the process items, recording the completed process items into the task dictionary after each matching), removing the completed process items from at least 2 matching items, obtaining remaining unfinished items, and taking the remaining unfinished items as unique matching items if the number of the remaining unfinished items is 1; if the number of the obtained remaining unfinished items is greater than 1, the process item with the sequence number of 0 (closest) is a matching process item, so that the matching process item is used as a unique matching item.
After the unique matching item is obtained, the evaluation may be performed according to the second evaluation rule, which is not described herein.
When the score is used as the evaluation result, all scores in the calculation flow chart are counted as a total score. All score statistics of the completed items are scores. Skill score: each skill score is settled sequentially before and after engagement of all finishing skill applications and disabled term skill applications with the inquiry query flow.
S4, obtaining a final evaluation result of the target inquiry examination body information according to the first evaluation result and/or the second evaluation result and a preset evaluation standard.
Specifically, as the to-be-evaluated person and the virtual patient are in question-answer interaction, at least one piece of target question-diagnosis body information is obtained, and each piece of target question-diagnosis body information corresponds to a corresponding first evaluation result or second evaluation result. After the inquiry is finished, the whole inquiry process of the person to be evaluated is evaluated, for example, the preset evaluation criterion can be thirty percent of the weight of the first evaluation result and seventy percent of the weight of the second evaluation result, so that the whole inquiry process is evaluated, and a final evaluation result is obtained.
Optionally, the method further comprises: constructing a preset case library; according to the preset case library, a first preset word library and a second preset word library corresponding to case information in the case library are respectively constructed.
For example, the first preset word bank and the second predicted word bank can be set according to specific requirements, when the second preset word bank is set, a flow table can be set, a plurality of flow items are set in the flow table, and the plurality of flow items are numbered according to importance degrees, for example: 0. 1,2, etc.
For example, when comparing the first preset word stock and the second preset word stock, the following method may be used: acquiring characters D1 (t 11, t12, t13 …) to which the target inquiry and examination body information is converted, D2 (t 21, t22, t23, … t2 m), calculating the similarity of all keywords tli in the text D1 and all keywords t2i in the text D2, and forming a similarity matrix:
wherein tli and t2i are keywords extracted from the target inquiry information, respectively. In the matrix, simij (i=i, j=m) represents the similarity between the text D1 keyword tli and the text D2 keyword t2 j; m (D1, D2) represents a similarity matrix between the text D1 and the text D2; i is the keyword number of the text D1; m is the number of keywords of the text D2.
The similarity calculation formula of the words: s (T1, T2) =max (i=1, 2, …, m) S (yli, y2 j), i.e., the term similarity is the maximum value of the similarity of sense terms contained in two terms, and the sense terms refer to a plurality of word senses contained in one term;
Traversing the similarity matrix M in sequence, finding out the corresponding combination of the keywords with the maximum Sim values, and deleting the corresponding rows and columns; then, continuously traversing the similarity matrix M to find out the keyword combination with the maximum Sim value, and repeatedly cycling until the matrix M is a zero value matrix; finally, the semantic similarity of the texts D1 and D2 is obtained by utilizing the obtained keyword combination sequence with the maximum similarity, and the calculation formula is as follows:
wherein Max is the maximum value of the similarity Sim; i is the number of keywords of the text D1, and j is the number of keywords of the text D2.
The text clustering analysis method based on semantic similarity is as follows:
firstly, preprocessing an acquired text, carrying out feature weighting on all category keywords by adopting a TFIDF weighting method, and extracting m optimal feature keywords to form an original keyword-based feature vector Di;
for the original keyword-based feature vectors Di, di= (T1, T2, …, ti), i=1, 2,3, …, m according to the edited task flow table;
forming M feature vectors Di of n texts, calculating semantic similarity among collected texts by using a semantic similarity calculation formula, forming a similarity matrix M of a text set, and calculating average similarity MA of all feature vectors; the calculation formula is as follows:
Wherein n is Wen Benshu;
three similarity thresholds are set, one repetition value of 0.9, one topic center threshold of 0.5, and one new topic threshold of 0.3,
comparing the text with the central theme, if the initial central similarity between the text and the central theme is greater than the repetition threshold value of 0.9, considering that the text is matched with the flow item, if the similarity is smaller than the new theme threshold value of 0.3, not matching, if the similarity is temporarily recorded as a matching item within the range of 0.3-0.9, traversing keywords of the flow library, and selecting the keyword with the highest threshold value as a final matching item.
It should be noted that this is only a list of comparison and is not limiting.
In the embodiment of the invention, the final evaluation result can be obtained through score and skill score.
For example, the score: each keyword corresponds to a score, and the score/total score of the completed keyword is 100, so as to obtain a score percentage.
For example, skill score: the skill can be considered for 20 total: 1. organizing arrangement; 2. time sequence; 3. a transition language; 4. a consultation progress; 5. repeating the questioning; 6. induction summary; 7. avoiding medical terminology; 8. and (5) verification of a certificate; 9. meters and etiquette; 10. the friendly behavior is achieved; 11. praise and encouragement; 12. patient opinion; 13. the type of problem; 14. concern disease effects; 15. care is taken about support and help sources; 16. care is taken about patient expectations; 17. checking the understanding degree of the patient; 18. acknowledging the lack of experience; 19. encouraging the patient to ask questions; 20. and (5) ending the language. In 20 skills, except for organizing, repeating questioning and avoiding medical terms, the system automatically records the completion times of each skill corresponding to each keyword in the question library, namely, the skill is completed once by matching the keyword. Finally, the skill was evaluated based on the number of completions per skill per total number of 100, the percentage obtained. And organization arrangement, a score may be formed according to Prefect, cool, good, bad number to give an evaluation; repeating the questioning, and forming scores according to the number of repeated matching keyword terms to give evaluation; avoiding medical terms, scores may be formed to give an evaluation based on the number of times the word stock is disabled by matching.
After the score and skill score are obtained, the evaluation can be carried out on the evaluation to the to-be-evaluated person according to the Daibutil chart, wherein the evaluation to the to-be-evaluated person is divided into 5 items:
listening ability: giving a score to the evaluation in association with the skill summary and repeated questioning score formation score;
interrogation capability: the associated skill seal verifies and examines the patient's comprehension level to form a score to give an assessment;
observation ability: giving an assessment in association with skill-related disease effects and encouraging patient questioning formation scores;
understanding ability: the opinion questioning progress forming score of the related skill patient is evaluated;
evaluation ability: the associated skills recognize that inexperience and praise and encourage formation scores to be given an evaluation.
According to the method for evaluating the questioning and examining body based on the simulated patient, the simulated patient is set, and the first preset word stock and the second preset word stock are preset, so that a user can directly conduct questioning and examining body with a system, whether the user is aimed at target case information is judged according to dialogue between the user and the simulated patient, and questions and flows of the first preset word stock and the second preset word stock are questioned and examined, and evaluation is conducted. The evaluation is objectively, fairly and correctly given to the user, the workload of manual evaluation is reduced, the evaluation is careful, each evaluation item can be traced back, the achievement of the user can be saved, and meanwhile, the user can find the weak aspect of the user. Based on the real simulated patient diagnosis and treatment scene acquisition data, a user can more easily accept and adapt to investigation in a real scene, and the due level is exerted.
Based on a general inventive concept, the embodiment of the invention also provides a query examination evaluation system based on the simulated patient.
FIG. 3 is a schematic diagram of a system for evaluating a patient-based questioning and examining system according to an embodiment of the present invention; referring to fig. 3, a system provided by an embodiment of the present invention may include the following structures: a receiving module 1, an acquiring module 2 and a processing module 3;
a receiving module 1, configured to receive a selection instruction;
an acquisition module 2, configured to acquire at least one item of target inquiry diagnosis information based on the target case information and the simulated patient;
the processing module 3 is used for determining target case information in a preset case library according to the selection instruction; the method comprises the steps of judging the matching degree of each item of standard inquiry diagnosis information and a first preset word stock; if the target inquiry and query body information contains a matching item in a first preset word stock, evaluating the target inquiry and query body information according to a first evaluation rule corresponding to the matching item to obtain a first evaluation result; if the target inquiry and examination body information does not contain the matching item in the first preset word stock, judging the matching degree of the target inquiry and examination body information and the second preset word stock; if the target inquiry and examination information contains the matching item in the second preset word stock, evaluating the target inquiry and examination information according to a second evaluation rule corresponding to the matching item, and obtaining a second evaluation result; and the final evaluation result of the target inquiry body information is obtained according to the first evaluation result, the second evaluation result and the preset evaluation standard after the end information is obtained.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Based on one general inventive concept, the embodiment of the invention also provides a system for evaluating a questionnaire based on a simulated patient.
Fig. 4 is a schematic structural diagram of another system for evaluating a patient-based inquiry and examination according to an embodiment of the present invention, referring to fig. 3 to 4, and the receiving module is a display 1A; the acquisition module is a sound device 2A; the processing module is a controller 3A.
Optionally, the number of the sound devices is 2; the 2 sound devices are respectively arranged at the simulated patient side and the user side by a microphone array technology.
Fig. 5 is a schematic diagram of sound collection in fig. 4, referring to fig. 4-5, the sound device may be a microphone, and the microphone array technology is respectively disposed at the patient side and the user side, and the difference between phases of the sound waves received by the two microphones is used to filter the sound waves, so that the environmental background sound is removed to the maximum extent, and only the required sound waves remain. For devices employing this configuration in a noisy environment, the listener can be made to sound very clear and free of noise. The controller processes the sound without going, converts the sound into characters, and displays the characters on the display, wherein the characters are analyzed and compared by the first record and the second record.
Referring to fig. 4, an examiner or a person to be evaluated can establish a preset case library, a flow chart of a consultation body and scoring rules, upload the rules to a server, and use the rules.
The case data in the preset case library may include: difficulty: from low to high C- > B- > a- > S.
Department: medical, surgical, first aid, gynecological, pediatric …
Question type: major problem, minor problem, heavy spot investigation …
The forbidden vocabulary is created to store the software locally, including terms that should not be mentioned during the consultation.
Disabling the vocabulary includes:
referring to fig. 4, a camera 4 may be further included for acquiring limb information of the subject to be evaluated, and the like.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
According to the patient-based query evaluation system provided by the embodiment of the invention, the first preset word stock and the second preset word stock are preset by setting the simulated patient, so that a user can directly conduct query with the system, whether the user aims at target case information or not is judged according to the dialogue between the user and the simulated patient, and questions and flows of the first preset word stock and the second preset word stock are queried, so that evaluation is conducted. The evaluation is objectively, fairly and correctly given to the user, the workload of manual evaluation is reduced, the evaluation is careful, each evaluation item can be traced back, the achievement of the user can be saved, and meanwhile, the user can find the weak aspect of the user. Based on the real simulated patient diagnosis and treatment scene acquisition data, a user can more easily accept and adapt to investigation in a real scene, and the due level is exerted.
Based on one general inventive concept, the embodiment of the invention also provides a query examination evaluation device based on the simulated patient.
Fig. 6 is a schematic structural diagram of a diagnostic test evaluation device based on a simulated patient according to an embodiment of the present invention, referring to fig. 6, the diagnostic test evaluation device based on a simulated patient according to the embodiment of the present invention includes: a processor 61, and a memory 62 connected to the processor.
The memory 62 is used for storing a computer program at least for the method for evaluating a patient-based interview based on a simulation of any of the above embodiments;
the processor 61 is used to call and execute the computer program in memory.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
It is to be understood that the same or similar parts in the above embodiments may be referred to each other, and that in some embodiments, the same or similar parts in other embodiments may be referred to.
It should be noted that in the description of the present invention, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present invention, unless otherwise indicated, the meaning of "plurality" means at least two.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (9)
1. A method for evaluating a patient-based questioning and examination, comprising:
receiving a selection instruction, and determining target case information in a preset case library according to the selection instruction;
acquiring at least one item of target inquiry examination information based on the target case information and the simulated patient, and judging the matching degree of each item of target inquiry examination information and a first preset word stock; if the target inquiry and diagnosis information comprises the matching item in the first preset word stock, evaluating the target inquiry and diagnosis information according to a first evaluation rule corresponding to the matching item to obtain a first evaluation result;
if the target inquiry and diagnosis body information does not contain the matching item in the first preset word stock, judging the matching degree of the target inquiry and diagnosis body information and a second preset word stock; if the target inquiry and diagnosis information comprises the matching item in the second preset word stock, evaluating the target inquiry and diagnosis information according to a second evaluation rule corresponding to the matching item to obtain a second evaluation result; the step of evaluating the target inquiry and examination body information according to a second evaluation rule corresponding to the matching item to obtain a second evaluation result comprises the following steps: if the target inquiry and diagnosis information comprises a unique matching item in the second preset word stock, evaluating the target inquiry and diagnosis information according to a second evaluation rule corresponding to the unique matching item to obtain a second evaluation result; if the target inquiry and examination body information contains at least two matching items in the second preset word stock, evaluating the target inquiry and examination body information according to a second evaluation sub-rule corresponding to each matching item, and acquiring second evaluation sub-results with the same number as the matching items; acquiring a second evaluation result according to the second evaluation sub-result;
And acquiring a final evaluation result of the target inquiry body information according to the first evaluation result, the second evaluation result and a preset evaluation standard.
2. The method of claim 1, wherein after the target query information includes at least 2 matching items in the second preset word stock, further comprising:
and acquiring the unique matching item according to a preset rule.
3. The method of claim 2, wherein the second evaluation rule comprises:
judging whether the unique matching item is matched with the second preset word stock for the first time, if so, evaluating according to the primary and secondary degree of the target inquiry body information;
and if the target query body information is not matched with the second preset word stock for the first time, evaluating the target query body information according to the primary and secondary degrees and the association relation between the target query body information and the previous item of target query body information.
4. The method according to claim 3, wherein evaluating the target inquiry volume information according to the primary and secondary degrees and the association relation between the target inquiry volume information and the previous item of inquiry volume information comprises:
If the previous item of target inquiry volume information is a main problem, the target inquiry volume information is a secondary problem, and the target inquiry volume information is immediately adjacent to the previous item of target inquiry volume information, the target inquiry volume information is evaluated as possible; if the target inquiry body information is a main problem and the target inquiry body information is close to the previous item of target inquiry body information, evaluating the target inquiry body information to be very good; if the target inquiry volume information is a main problem and the target inquiry volume information is not connected with the previous item of target inquiry volume information, or if the target inquiry volume information is a secondary problem and the target inquiry volume information is not connected with the previous item of target inquiry volume information, evaluating that the target inquiry volume information is good;
if the previous item of target inquiry volume information is a secondary problem, the target inquiry volume information is a secondary problem, and the target inquiry volume information is close to the previous item of target inquiry volume information, the target inquiry volume information is evaluated as ok; if the target inquiry body information is a main problem and the target inquiry body information is close to the previous item of target inquiry body information, evaluating the target inquiry body information to be very good; and if the target inquiry body information is a main problem and the target inquiry body information is not connected with the previous item of target inquiry body information, or if the target inquiry body information is a secondary problem and the target inquiry body information is not connected with the previous item of target inquiry body information, evaluating that the target inquiry body information is good.
5. The method as recited in claim 1, further comprising:
constructing a preset case library;
and respectively constructing a first preset word stock and a second preset word stock corresponding to the case information in the case stock according to the preset case stock.
6. A simulated patient based questionnaire evaluation system comprising: the device comprises a receiving module, an acquisition module and a processing module;
the receiving module is used for receiving a selection instruction and determining target case information in a preset case library according to the selection instruction;
the acquisition module is used for acquiring at least one item of target inquiry examination information based on the target case information and the simulated patient;
the processing module is used for judging the matching degree of each piece of target inquiry examination body information and the first preset word stock; if the target inquiry and diagnosis information comprises the matching item in the first preset word stock, evaluating the target inquiry and diagnosis information according to a first evaluation rule corresponding to the matching item to obtain a first evaluation result; if the target inquiry and diagnosis body information does not contain the matching item in the first preset word stock, judging the matching degree of the target inquiry and diagnosis body information and a second preset word stock; if the target inquiry and diagnosis information comprises the matching item in the second preset word stock, evaluating the target inquiry and diagnosis information according to a second evaluation rule corresponding to the matching item to obtain a second evaluation result; the step of evaluating the target inquiry and examination body information according to a second evaluation rule corresponding to the matching item to obtain a second evaluation result comprises the following steps: if the target inquiry and diagnosis information comprises a unique matching item in the second preset word stock, evaluating the target inquiry and diagnosis information according to a second evaluation rule corresponding to the unique matching item to obtain a second evaluation result; if the target inquiry and examination body information contains at least two matching items in the second preset word stock, evaluating the target inquiry and examination body information according to a second evaluation sub-rule corresponding to each matching item, and acquiring second evaluation sub-results with the same number as the matching items; acquiring a second evaluation result according to the second evaluation sub-result; and acquiring a final evaluation result of the target inquiry body information according to the first evaluation result, the second evaluation result and a preset evaluation standard.
7. The system of claim 6, wherein the receiving module is a display; the acquisition module is sound equipment; the processing module is a controller.
8. The system of claim 7, wherein the number of sound devices is 2; the 2 sound devices are respectively arranged at the simulated patient side and the user side through a microphone array technology.
9. A simulated patient based questionnaire evaluation device comprising: a processor, and a memory coupled to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the method for evaluating the questionnaire based on the simulated patient according to any one of claims 1-5;
the processor is configured to invoke and execute the computer program in the memory.
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