An analytical system for assessing severe physical and mental imbalances

Abstract

An analytical system for assessing severe imbalances in psychosomatic aspects includes a storage unit and an analysis unit. A subjective analysis module generates subjective assessment data. An objective analysis module analyzes the data to obtain several objective assessment data points corresponding to different examination results. During the first correction procedure, a correction analysis module analyzes the differences in the degree of imbalance in each assessment aspect between each objective and subjective assessment data point and corrects for the resulting corrected assessment data. The correction analysis module analyzes the corrected assessment data to identify one or more assessment aspects with the most severe imbalance and generates a preliminary result for a severe imbalance aspect. This design allows for a more comprehensive assessment of a patient's psychosomatic imbalance.

Claims

1. An analytical system for assessing severe psychosomatic imbalance, applicable to analyzing psychosomatic assessment data and examination results data of a patient, wherein the psychosomatic assessment data has M assessment aspects, M assessment scores corresponding to each assessment aspect, and a subjective severe symptom, where M is a positive integer greater than or equal to 2; and the examination results data has several examination items and several examination results corresponding to each examination item. The analytical system for assessing severe psychosomatic imbalance includes: A storage unit includes assessment orientation analysis guidance data and several examination result analysis guidance data corresponding to the corresponding examination items; and an analysis unit, signal-connected to the storage unit, including a subjective analysis module, an objective analysis module, and a correction analysis module signal-connected to the subjective analysis module and the objective analysis module. The subjective analysis module analyzes the physical and mental assessment data according to the assessment orientation analysis guidance data to generate subjective evaluation data, which includes information on the degree of imbalance of each assessment orientation. The objective analysis module analyzes the examination result data according to the examination result analysis guidance data to obtain several objective evaluation data corresponding to the corresponding examination results. Each objective evaluation data is related to the degree of imbalance of N objective influence orientations of the corresponding examination item. Corresponding to N of the M assessment aspects, where N is a positive integer greater than or equal to 1, the correction analysis module will execute a first correction procedure when both the subjective and objective assessment data are generated and the self-reported severe symptoms in the analysis of the physical and mental assessment data are not filled in. During the execution of the first correction procedure, the correction analysis module will analyze the difference between the degree of imbalance of each objective influence aspect in each objective assessment data and the degree of imbalance of the corresponding assessment aspect in the subjective assessment data to correct the degree of imbalance information of the corresponding assessment aspect in the subjective assessment data. After the analysis and correction are completed based on each objective assessment data, a corrected assessment data is obtained. The correction analysis module will analyze the corrected assessment data to obtain one or more assessment aspects with the most severe imbalance and generate a preliminary result of a severe imbalance aspect.

2. The analytical system for assessing severe physical and mental imbalance as described in claim 1, wherein, The assessment-oriented analysis guideline data has L consecutive score ranges, and L standard coefficients and L subjective levels corresponding to each score range, where L is a positive integer greater than or equal to 3. The subjective analysis module analyzes each assessment score of the physical and mental health assessment data according to the assessment-oriented analysis guideline data to obtain the standard coefficient and subjective level corresponding to the score range to which the analyzed assessment score falls. The obtained standard coefficient and subjective level are used as an assessment severity coefficient and a subjective level value, respectively, for the imbalance information. The subjective analysis data includes each assessment aspect and corresponding to each... The assessment severity coefficient and subjective level value are evaluated for each objective assessment data point. Each objective assessment data point includes N objective level values ​​corresponding to the inspection item, each representing one of the N objective impact aspects. During the execution of the first correction procedure, the correction analysis module will count the number of times the first interval of the corresponding assessment aspect is triggered when the difference between the objective level value corresponding to each objective impact aspect in each objective assessment data point and the subjective level value corresponding to the assessment aspect in the subjective assessment data point is greater than or equal to a predetermined interval. The assessment severity coefficient will be corrected based on the number of interval triggers for each assessment aspect.

3. The analytical system for assessing severe physical and mental imbalance as described in claim 2, wherein, The magnitude of these standard coefficients represents the severity of the imbalance. The standard coefficient with the largest value is defined as a maximum coefficient, and the standard coefficient with the second smallest value is defined as a minimum coefficient. After the difference between each objective and subjective evaluation data is analyzed, the correction analysis module calculates a pre-correction value when the number of triggers for each interval corresponding to each evaluation aspect is greater than zero. The pre-correction value is the minimum coefficient plus the number of triggers for each interval multiplied by a correction coefficient. When the pre-correction value is less than the maximum upper limit, the pre-correction value is used as the corrected evaluation severity coefficient. When the pre-correction value is greater than or equal to the maximum upper limit, the maximum upper limit is used as the corrected evaluation severity coefficient. The maximum upper limit is greater than the maximum coefficient.

4. The analytical system for assessing severe physical and mental imbalance as described in claim 2, wherein, The storage unit also includes an empirical medicine correlation dataset containing several symptom correlation data. Each symptom correlation data has a symptom, an empirical weight corresponding to the symptom, P symptom influence aspects corresponding to the symptom, and P influence weights corresponding to the symptom and their respective influence aspects, where M / 2 ≥ P ≥ 1 and P is a positive integer. The correction analysis module executes a second correction procedure when both the subjective and objective assessment data are generated and the subjectively perceived severe symptom is filled in during the analysis of the psychosomatic assessment data. During the execution of the second correction procedure, the positive analysis module will obtain the symptom association data corresponding to the perceived severity of the symptom from the evidence-based medicine association data set, and multiply the empirical weight by the P influence weights to obtain P empirical coefficients corresponding to the influence aspects of the symptom. When each empirical coefficient is greater than or equal to a maximum upper limit value, the correction analysis module will update the analyzed empirical coefficient to the assessment severity coefficient of the assessment aspect corresponding to the influence aspect of the symptom in the subjective evaluation data, and execute the first correction procedure after the analysis of the P empirical coefficients is completed.

5. An analytical system for assessing severe physical and mental imbalance as described in claim 2, wherein, The analysis unit also includes an arbitration module that is signal-connected to the correction analysis module. When the number of one or more evaluation surfaces in the preliminary results of the severe imbalance surface analysis is multiple, the arbitration module will activate an arbitration function to analyze one of the evaluation surfaces from the multiple evaluation surfaces to generate a most severe imbalance surface result. The arbitration module will also generate the most severe imbalance surface result from the one evaluation surface when the number of one or more evaluation surfaces in the preliminary results of the severe imbalance surface analysis is one.

6. The analytical system for assessing severe physical and mental imbalance as described in claim 5, wherein, The storage unit also includes evaluation orientation priority data, which has several priority levels corresponding to the same evaluation orientation. When the arbitration module starts the arbitration function, it first executes a first arbitration procedure. When executing the first arbitration procedure, the arbitration module obtains the priority levels corresponding to the multiple evaluation orientations of the severe imbalance orientation based on the evaluation orientation priority data. If the number of evaluation orientations with the highest priority level is one, the evaluation orientation with the highest priority level is taken as the most severe imbalance orientation result. Otherwise, a second arbitration procedure is executed.

7. An analytical system for assessing severe physical and mental imbalance as described in claim 6, wherein, When executing the second arbitration procedure, the arbitration module will obtain corresponding assessment scores for the multiple assessment aspects based on the physical and mental assessment data. If the number of assessment scores obtained represents the most severe assessment score is one, the assessment aspect corresponding to the most severe assessment score will be taken as the result of the most severe imbalance aspect. Otherwise, a third arbitration procedure will be executed.

8. An analytical system for assessing severe physical and mental imbalance as described in claim 7, wherein, If the arbitration module executes the third arbitration procedure and, based on the analysis of the correction evaluation data, finds that the number of non-zero interval trigger counts corresponding to the plurality of evaluation aspects is equal to one, then the evaluation aspect corresponding to the non-zero interval trigger count is taken as the result of the most severe imbalance aspect; otherwise, a fourth arbitration procedure is executed.

9. An analytical system for assessing severe physical and mental imbalance as described in claim 8, wherein, The assessment orientation priority data also has several priority orders corresponding to the same assessment orientation. When the arbitration module executes the fourth arbitration procedure, it will use the assessment orientation priority data to analyze the multiple assessment orientations of the preliminary result of the severe imbalance orientation to obtain the assessment orientation with the highest priority order, and take the assessment orientation with the highest priority order as the result of the most severe imbalance orientation.

10. The analytical system for assessing severe physical and mental imbalance as described in claim 4, suitable for use with an evidence-based medicine database having several levels of evidence corresponding to different symptoms, the analytical system for assessing severe physical and mental imbalance further comprising a data update unit that connects the storage unit to the evidence-based medicine database, the data update unit obtaining the corresponding level of evidence from the evidence-based medicine database based on the symptoms of the symptom-related data at predetermined update intervals, and updating the empirical weights of the evidence-related dataset with the obtained level of evidence.

11. An analytical system for assessing severe physical and mental imbalance as described in claim 1, wherein, The analysis unit also includes a data analysis and processing module that is connected to the storage unit. The data analysis and processing module will combine the physical and mental assessment data with the current date into an assessment record and store it in the storage unit. When the assessment record is generated and the storage unit contains the patient's previous assessment record, the data analysis and processing module will analyze the change in the two assessment scores of each assessment aspect by dividing the change by the number of days in the period to obtain a change value. When the change value meets the criteria for severe deterioration, the data analysis and processing module will generate an early warning message.

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