Medical Institution Operation Analysis System

Abstract

A medical institution operation analysis system includes a preprocessing module, a revenue and cost forecasting module, a consumables and physician cost forecasting module, an abnormal physician behavior detection module, and a report generation module. The preprocessing module preprocesses raw data and converts it into first and second feature sets; the revenue and cost forecasting module predicts future revenue and cost forecasts based on the first feature set; the consumables and physician cost forecasting module predicts consumable costs for multiple physicians based on the second feature set and establishes a consumable cost baseline; the abnormal physician behavior detection module generates an anomaly warning message when the deviation between real-time consumable cost data and the consumable cost baseline exceeds a predetermined threshold; and the report generation module generates a management report based on the future revenue and cost forecasts and the anomaly warning message.

Claims

1. A medical institution operation analysis system, comprising: a preprocessing module for connecting to at least one data source and receiving a plurality of raw data from the at least one data source; the preprocessing module preprocesses the raw data and converts it into a first feature set and a second feature set, wherein the first feature set corresponds to operational data and the second feature set corresponds to a plurality of clinical procedure data of a plurality of physicians; the preprocessing module outputs the feature sets respectively; a revenue and cost prediction module connected to the preprocessing module and receiving the first feature set, the revenue and cost prediction module predicting a future revenue and cost forecast based on the first feature set; and a consumables and physician cost prediction module connected to the preprocessing module and receiving the second feature set, the consumables and physician cost prediction module predicting a plurality of individual consumables cost forecasts for physicians based on the second feature set, the individual consumables cost forecasts for physicians corresponding to the physicians, and establishing at least one consumables cost baseline based on the individual consumables cost forecasts for physicians; An abnormal physician behavior detection module is connected to the consumables and physician cost prediction module and the at least one data source. The abnormal physician behavior detection module receives the at least one consumable cost baseline from the consumables and physician cost prediction module and receives real-time consumable cost data from the at least one data source. The real-time consumable cost data corresponds to a physician. The abnormal physician behavior detection module generates an abnormal warning message when a deviation between the real-time consumable cost data and the at least one consumable cost baseline exceeds a predetermined threshold. A report generation module is connected to the revenue and cost prediction module and the abnormal physician behavior detection module. The report generation module generates a management report based on the future revenue and cost prediction values ​​and the abnormal warning message, or generates the management report based on the future revenue and cost prediction values ​​when there is no abnormal warning message. The revenue and cost forecasting module inputs the first feature set into a time series analysis model and a machine learning model respectively. The time series analysis model outputs a first forecast result, and the machine learning model outputs a second forecast result. The revenue and cost forecasting module integrates the first forecast result and the second forecast result to generate the future revenue and cost forecast values.

2. The medical institution operation analysis system as described in claim 1, wherein the revenue and cost prediction module includes a deviation assessment unit and a model iteration unit, wherein the deviation assessment unit calculates an error index between the predicted future revenue and cost and the actual revenue and cost; when the error index exceeds a predetermined threshold, the deviation assessment unit triggers the model iteration unit to retrain the time series analysis model and the machine learning model using the first feature set and the actual revenue and cost.

3. A medical institution operation analysis system, comprising: a preprocessing module for connecting to at least one data source and receiving a plurality of raw data from the at least one data source; the preprocessing module preprocesses the raw data and converts it into a first feature set and a second feature set, wherein the first feature set corresponds to operational data and the second feature set corresponds to a plurality of clinical procedure data of a plurality of physicians; the preprocessing module outputs the feature sets respectively; a revenue and cost prediction module connected to the preprocessing module and receiving the first feature set, the revenue and cost prediction module predicting a future revenue and cost forecast based on the first feature set; and a consumables and physician cost prediction module connected to the preprocessing module and receiving the second feature set, the consumables and physician cost prediction module predicting a plurality of individual consumables cost forecasts for physicians based on the second feature set, the individual consumables cost forecasts for physicians corresponding to the physicians, and establishing at least one consumables cost baseline based on the individual consumables cost forecasts for physicians; An abnormal physician behavior detection module is connected to the consumables and physician cost prediction module and the at least one data source. The abnormal physician behavior detection module receives the at least one consumable cost baseline from the consumables and physician cost prediction module and receives real-time consumable cost data from the at least one data source. The real-time consumable cost data corresponds to a physician. The abnormal physician behavior detection module generates an abnormal warning message when a deviation between the real-time consumable cost data and the at least one consumable cost baseline exceeds a predetermined threshold. A report generation module is connected to the revenue and cost prediction module and the abnormal physician behavior detection module. The report generation module generates a management report based on the future revenue and cost prediction values ​​and the abnormal warning message, or generates the management report based on the future revenue and cost prediction values ​​when there is no abnormal warning message. The consumables and physician cost prediction module converts the second feature set into a high-dimensional feature set for each physician. The high-dimensional feature set includes surgical operation feature data, consumable usage feature data, technician cost feature data, patient feature data, and physician attribute feature data. The consumables and physician cost prediction module inputs the high-dimensional feature set of each physician into a prediction model to predict the individual consumable cost of each physician.

4. A medical institution operation analysis system, comprising: a preprocessing module for connecting to at least one data source and receiving a plurality of raw data from the at least one data source; the preprocessing module preprocesses the raw data and converts it into a first feature set and a second feature set, wherein the first feature set corresponds to operational data and the second feature set corresponds to a plurality of clinical procedure data of a plurality of physicians; the preprocessing module outputs the feature sets respectively; a revenue and cost prediction module connected to the preprocessing module and receiving the first feature set, the revenue and cost prediction module predicting a future revenue and cost forecast based on the first feature set; and a consumables and physician cost prediction module connected to the preprocessing module and receiving the second feature set, the consumables and physician cost prediction module predicting a plurality of individual consumables cost forecasts for physicians based on the second feature set, the individual consumables cost forecasts for physicians corresponding to the physicians, and establishing at least one consumables cost baseline based on the individual consumables cost forecasts for physicians; An abnormal physician behavior detection module is connected to the consumables and physician cost prediction module and the at least one data source. The abnormal physician behavior detection module receives the at least one consumable cost baseline from the consumables and physician cost prediction module and receives real-time consumable cost data from the at least one data source. The real-time consumable cost data corresponds to a physician. The abnormal physician behavior detection module generates an abnormal warning message when a deviation between the real-time consumable cost data and the at least one consumable cost baseline exceeds a predetermined threshold. A report generation module is connected to the revenue and cost prediction module and the abnormal physician behavior detection module. The report generation module generates a management report based on the future revenue and cost prediction values ​​and the abnormal warning message, or generates the management report based on the future revenue and cost prediction values ​​when there is no abnormal warning message. The abnormal physician behavior detection module receives the predicted costs of individual consumables from the consumables and physician cost prediction module. When the deviation between the real-time consumable cost data and the at least one consumable cost baseline exceeds the predetermined threshold, the abnormal physician behavior detection module adds the predicted cost of individual consumables corresponding to the real-time consumable cost data and the deviation to the abnormal warning message. The report generation module receives the abnormal warning message containing the predicted cost of individual consumables and the deviation, and the generated management report includes the predicted cost of individual consumables and the deviation.

5. A medical institution operation analysis system, comprising: a preprocessing module for connecting to at least one data source and receiving a plurality of raw data from the at least one data source; the preprocessing module preprocesses the raw data and converts it into a first feature set and a second feature set, wherein the first feature set corresponds to operational data and the second feature set corresponds to a plurality of clinical procedure data of a plurality of physicians; the preprocessing module outputs the feature sets respectively; a revenue and cost prediction module connected to the preprocessing module and receiving the first feature set, the revenue and cost prediction module predicting a future revenue and cost forecast based on the first feature set; and a consumables and physician cost prediction module connected to the preprocessing module and receiving the second feature set, the consumables and physician cost prediction module predicting a plurality of individual consumables cost forecasts for physicians based on the second feature set, the individual consumables cost forecasts for physicians corresponding to the physicians, and establishing at least one consumables cost baseline based on the individual consumables cost forecasts for physicians; An abnormal physician behavior detection module is connected to the consumables and physician cost prediction module and the at least one data source. The abnormal physician behavior detection module receives the at least one consumable cost baseline from the consumables and physician cost prediction module and receives real-time consumable cost data from the at least one data source, the real-time consumable cost data corresponding to a physician. The abnormal physician behavior detection module generates an abnormal warning message when a deviation between the real-time consumable cost data and the at least one consumable cost baseline exceeds a predetermined threshold. A report generation module is connected to the revenue and cost prediction module and the abnormal physician behavior detection module. The report generation module generates a management report based on the future revenue and cost forecasts and the abnormal warning message, or generates the management report based on the future revenue and cost forecasts when there is no abnormal warning message. The physicians have multiple levels; the number of at least one consumable cost baselines is multiple and each corresponds to one of the levels. The consumables and physician cost prediction module establishes consumable cost baselines based on the physicians' levels and their individual consumable cost predictions. The abnormal physician behavior detection module receives these consumable cost baselines from the consumables and physician cost prediction module and selects a corresponding consumable cost baseline based on the physician's level corresponding to the real-time consumable cost data.

6. The medical institution operation analysis system as described in claim 5, wherein the real-time consumable cost data and the consumable cost baseline have multiple dimensions of deviation, including a consumable type deviation, a consumable quantity deviation and a technician cost deviation, and the abnormal physician behavior detection module calculates the deviation based on the dimensions of deviation.

7. The medical institution operation analysis system as described in claim 6, wherein the abnormal physician behavior detection module includes an interpretability analysis unit to determine the contribution of each dimension deviation, generate a contribution list, and attach the contribution list to the abnormal warning message; the management report generated by the report generation module includes the contribution list.

8. A medical institution operation analysis system, comprising: a preprocessing module for connecting to at least one data source and receiving a plurality of raw data from the at least one data source; the preprocessing module preprocesses the raw data and converts it into a first feature set and a second feature set, wherein the first feature set corresponds to operational data and the second feature set corresponds to a plurality of clinical procedure data of a plurality of physicians; the preprocessing module outputs the feature sets respectively; a revenue and cost prediction module connected to the preprocessing module and receiving the first feature set, the revenue and cost prediction module predicting a future revenue and cost forecast based on the first feature set; and a consumables and physician cost prediction module connected to the preprocessing module and receiving the second feature set, the consumables and physician cost prediction module predicting a plurality of individual consumables cost forecasts for physicians based on the second feature set, the individual consumables cost forecasts for physicians corresponding to the physicians, and establishing at least one consumables cost baseline based on the individual consumables cost forecasts for physicians; An abnormal physician behavior detection module is connected to the consumables and physician cost prediction module and the at least one data source. The abnormal physician behavior detection module receives the at least one consumable cost baseline from the consumables and physician cost prediction module and receives real-time consumable cost data from the at least one data source. The real-time consumable cost data corresponds to a physician. The abnormal physician behavior detection module generates an abnormal warning message when a deviation between the real-time consumable cost data and the at least one consumable cost baseline exceeds a predetermined threshold. A report generation module is connected to the revenue and cost prediction module and the abnormal physician behavior detection module. The report generation module generates a management report based on the future revenue and cost prediction values ​​and the abnormal warning message, or generates the management report based on the future revenue and cost prediction values ​​when there is no abnormal warning message. The report generation module includes a comparison unit, a data interpretation rule base, and a language model. The data interpretation rule base has multiple data conditions and multiple statement templates corresponding to these data conditions. The comparison unit compares the future revenue and cost forecasts and the abnormal warning message with the data interpretation rule base to select one of the statement templates corresponding to the future revenue and cost forecasts and one of the statement templates corresponding to the abnormal warning message. The selected two statement templates are then input into the language model. The language model generates the management report based on the selected two statement templates, the future revenue and cost forecasts, and the abnormal warning message.

9. A medical institution operation analysis system, comprising: a preprocessing module for connecting to at least one data source and receiving a plurality of raw data from the at least one data source; the preprocessing module preprocesses the raw data and converts it into a first feature set and a second feature set, wherein the first feature set corresponds to operational data and the second feature set corresponds to a plurality of clinical procedure data of a plurality of physicians; the preprocessing module outputs the feature sets respectively; a revenue and cost prediction module connected to the preprocessing module and receiving the first feature set, the revenue and cost prediction module predicting a future revenue and cost forecast based on the first feature set; and a consumables and physician cost prediction module connected to the preprocessing module and receiving the second feature set, the consumables and physician cost prediction module predicting a plurality of individual consumables cost forecasts for physicians based on the second feature set, the individual consumables cost forecasts for physicians corresponding to the physicians, and establishing at least one consumables cost baseline based on the individual consumables cost forecasts for physicians; An abnormal physician behavior detection module is connected to the consumables and physician cost prediction module and the at least one data source. The abnormal physician behavior detection module receives the at least one consumable cost baseline from the consumables and physician cost prediction module and receives real-time consumable cost data from the at least one data source. The real-time consumable cost data corresponds to a physician. The abnormal physician behavior detection module generates an abnormal warning message when a deviation between the real-time consumable cost data and the at least one consumable cost baseline exceeds a predetermined threshold. A report generation module is connected to the revenue and cost prediction module and the abnormal physician behavior detection module. The report generation module generates a management report based on the future revenue and cost prediction values ​​and the abnormal warning message, or generates the management report based on the future revenue and cost prediction values ​​when there is no abnormal warning message. A clinical terminal device is connected to the abnormal physician behavior detection module and the at least one data source. The clinical terminal device transmits consumable demand data to the at least one data source, and the at least one data source converts the consumable demand data into real-time consumable cost data. The abnormal physician behavior detection module can output the abnormal warning message to the clinical terminal device.

10. The medical institution operation analysis system as described in claim 9, wherein the clinical terminal device transmits new consumable demand data to the at least one data source, the at least one data source converts the new consumable demand data into new real-time consumable cost data and transmits it to the abnormal physician behavior detection module; the abnormal physician behavior detection module compares whether the deviation between the new real-time consumable cost data and the at least one consumable cost baseline exceeds the predetermined threshold, and if the deviation still exceeds the predetermined threshold, generates the abnormal warning message again.

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