CN115662598B - Management intellectualized quality improvement system based on hospital data resources - Google Patents
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Abstract
The invention relates to the technical field of hospital data resources, and aims to solve the problems that integration of various data resources is difficult to realize, and accurate judgment and analysis of medical states of a hospital are difficult to perform, so that high-efficiency utilization of the hospital data resources is hindered, and improvement of hospital data management quality is also hindered, in particular to a management intelligent quality improvement system based on the hospital data resources, which comprises a server, wherein the server is in communication connection with a service capacity analysis unit, a medical efficiency analysis unit, a medical safety supervision analysis unit, a resource improvement feedback unit and a display terminal; according to the invention, various data resources of the hospital are judged and analyzed from different layers by adopting different processing modes, so that integration of various data resources of the hospital is realized, the quality of hospital data management is improved, deep analysis and fine analysis of various data layers of the hospital are realized, and the working efficiency of the hospital is greatly improved.
Description
Technical Field
The invention relates to the technical field of hospital data resources, in particular to an intelligent quality improvement management system based on hospital data resources.
Background
The hospital data resources are owned or controlled by hospitals and can bring future economic benefits to the hospitals, and the data resources are recorded in a physical or electronic mode, so that a large amount of data are accumulated in each hospital after years of information construction, and if each hospital can fully utilize the data resources, the quality of the hospital can be greatly improved;
because the data resources of the hospital are dispersed, the existing hospital is difficult to integrate various data resources in the data resource management process and accurately judge and analyze the medical state of the hospital, so that the high-efficiency utilization of the data resources of the hospital is hindered, and the improvement of the data management quality of the hospital is hindered;
in order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to solve the problems that integration of various data resources is difficult to realize and accurate judgment and analysis of the medical state of a hospital is difficult to realize in the existing data resource management process, so that high-efficiency utilization of the hospital data resources is hindered, and the improvement of the hospital data management quality is hindered.
The purpose of the invention can be realized by the following technical scheme:
a management intelligent quality improvement system based on hospital data resources comprises a server, wherein the server is in communication connection with a service capability analysis unit, a medical efficiency analysis unit, a medical safety supervision analysis unit, a resource improvement feedback unit and a display terminal;
the server generates a medical capacity analysis instruction and sends the medical capacity analysis instruction to the service capacity analysis unit, the service capacity analysis unit acquires medical service capacity indexes in hospital data resource information in real time after receiving the medical capacity analysis instruction, performs medical capacity analysis, generates a medical service capacity deficiency signal, a general medical service capacity signal or a strong medical service capacity signal through analysis, and sends the medical service capacity deficiency signal, the general medical service capacity signal or the strong medical service capacity signal to the resource improvement feedback unit through the server;
the server generates a medical efficiency analysis instruction and sends the medical efficiency analysis instruction to the medical efficiency analysis unit, the medical efficiency analysis unit acquires a medical efficiency index in hospital data resource information in real time after receiving the medical efficiency analysis instruction, performs medical efficiency analysis, generates a medical efficiency excellent judgment signal and a medical efficiency poor judgment signal through analysis, and sends the signals to the resource promotion feedback unit through the server;
the server generates a medical supervision instruction and sends the medical supervision instruction to the medical safety supervision analysis unit, the medical safety supervision analysis unit acquires medical safety supervision indexes and medical expense consumption indexes in hospital data resource information in real time after receiving the medical supervision instruction, performs medical safety supervision analysis, generates a superior safety medical supervision signal, a middle safety medical supervision signal and a secondary safety medical supervision signal through analysis, and sends the superior safety medical supervision signals, the middle safety medical supervision signals and the secondary safety medical supervision signals to the resource promotion feedback unit through the server;
and the resource promotion feedback unit is used for receiving the medical analysis and judgment signals of various types, performing data feedback analysis processing according to the medical analysis and judgment signals, and sending the medical analysis and judgment signals to the display terminal in a text typeface description mode to display and explain.
Further, the specific operation steps of the medical capability analysis are as follows:
acquiring total case number, total weight value, case combination index, four-level operation ratio value and minimally invasive operation ratio value in medical service capability indexes in data resource information of a hospital in real time, respectively marking the values as zbl, rw, cm, szb and wzb, carrying out formula analysis on the values, and carrying out formula analysis according to the formula
Calculating the medical ability coefficient of the hospital, wherein e1, e2, e3, e4 and e5 are respectively the totalThe number of cases, the total weight value, the case combination index, the four-level operation ratio and the weight factor coefficient of the minimally invasive operation ratio, wherein e1, e2, e3, e4 and e5 are all natural numbers greater than 0;
setting gradient reference intervals Q1, Q2 and Q3 of the medical capacity coefficient, and substituting the medical capacity coefficient into preset gradient reference intervals Q1, Q2 and Q3 for comparative analysis, wherein the gradient reference intervals Q1, Q2 and Q3 are increased in a gradient manner;
when the medical capability coefficient is within a preset gradient reference interval Q1, a signal of lack of medical service capability is generated, when the medical capability coefficient is within a preset gradient reference interval Q2, a general signal of medical service capability is generated, and when the medical capability coefficient is within a preset gradient reference interval Q3, a signal of strong medical service capability is generated.
Further, the specific operation steps of the medical efficiency analysis are as follows:
acquiring the average hospital bed working day, the hospital bed utilization rate, the hospital bed turnover number and the average hospital stay day of discharged patients in the medical efficiency indexes in the data resource information of each department of the hospital in real time, and performing data comparison grading processing on the average hospital stay day and the corresponding preset comparison ranges Fw1, fw2, fw3 and Fw4 respectively to obtain the grading values of the medical efficiency indexes of each department, and adding and analyzing the grading values of the indexes of each department to obtain a first evaluation score of the medical efficiency of each department;
the cure rate and the fatality rate in the medical efficiency index in the data resource information of each department of the hospital are obtained in real time and are respectively marked as zyl i And bsl i And performing formula analysis on the obtained product according to the formula
Obtaining a second medical efficiency coefficient of each department, wherein f1 and f2 are correction factor coefficients of a cure rate and a fatality rate respectively, f1 and f2 are natural numbers larger than 0, and i represents each department;
respectively substituting the second medical efficiency coefficients of all departments into a preset comparison range Fa1 to perform numerical comparison analysis processing, and obtaining second evaluation scores of the medical efficiency of all departments;
adding and analyzing the first evaluation score and the second evaluation score of each department to obtain the total medical efficiency evaluation value of each department;
setting a comparison threshold TT1 of the total medical efficiency score value, counting the number of departments with the total medical efficiency score value being more than or equal to the comparison threshold TT1, calibrating the departments with the total medical efficiency score value being less than or equal to the comparison threshold TT1 as SL1, counting the number of departments with the total medical efficiency score value being less than or equal to the comparison threshold TT1 as SL2, if SL1 is greater than or equal to SL2, generating a medical efficiency excellent judgment signal, otherwise, if SL1 is less than or equal to SL2, generating a medical efficiency poor judgment signal.
Further, the specific operation steps of the data comparison and scoring processing are as follows:
when the average sickbed working day is within the corresponding preset comparison range Fw1, the index of the average sickbed working day is rated as 1, otherwise, when the average sickbed working day is outside the corresponding preset comparison range Fw1, the index of the average sickbed working day is rated as 0;
when the usage rate of the sickbed is within the corresponding preset comparison range Fw2, the index of the usage rate of the sickbed is rated as 1, otherwise, when the usage rate of the sickbed is outside the corresponding preset comparison range Fw2, the index of the usage rate of the sickbed is rated as 0;
when the turnover number of the sickbed is within the corresponding preset comparison range Fw3 or the turnover number of the sickbed is larger than the maximum value of the corresponding preset comparison range Fw3, the index of the average sickbed working day is evaluated as 1, otherwise, when the turnover number of the sickbed is smaller than the minimum value of the corresponding preset comparison range Fw3, the index of the average sickbed working day is evaluated as 0;
when the average hospitalization date of the discharged patient is within the corresponding preset comparison range Fw4, the index of the average hospitalization date of the discharged patient is rated as 1, otherwise, when the average hospitalization date of the discharged patient is outside the corresponding preset comparison range Fw4, the index of the average hospitalization date of the discharged patient is rated as 0.
Further, the specific operation steps of the numerical comparison analysis processing are as follows:
respectively substituting the second medical efficiency coefficients of all departments into a preset comparison range Fa1 for comparison and analysis;
when the second medical efficiency coefficient is smaller than the minimum value of the preset comparison range Fa1, the medical quality index of the department corresponding to the hospital is evaluated as 1 point;
when the second medical efficiency coefficient is within a preset comparison range Fa1, evaluating the medical quality index of the department corresponding to the hospital as 2 points;
and when the second medical efficiency coefficient is larger than the maximum value of the preset comparison range Fa1, the medical quality index of the department corresponding to the hospital is rated as 3.
Further, the specific operation steps of the medical safety supervision analysis are as follows:
acquiring periodic readmission rate, human head ratio and admission diagnosis load rate in medical safety supervision indexes in data resource information of a hospital in real time, respectively marking the periodic readmission rate, the human head ratio and the admission diagnosis load rate as zrl, rcb and zdf, and performing normalization analysis on the zrl, and obtaining quality supervision coefficients according to a formula svn = g1 zrl + g2 rcb + g3 zdf, wherein g1, g2 and g3 are weighting factor coefficients of the periodic readmission rate, the human head ratio and the admission diagnosis load rate respectively, and g1, g2 and g3 are natural numbers larger than 0;
acquiring a medicine cost ratio, a material cost ratio and a medical service cost ratio in a medical cost index in data resource information of a hospital in real time, respectively marking the medicine cost ratio, the material cost ratio and the medical service cost ratio as ypz, clz and fwz, and carrying out normalization analysis on the medicines, and obtaining cost supervision coefficients according to a formula fyx = g4 ypz + g5 clz + g6 fwz, wherein g4, g3 and g5 are weighting factor coefficients of the medicine cost ratio, the material cost ratio and the medical service cost ratio respectively, and g4, g3 and g5 are natural numbers larger than 0;
setting reference ranges Ca1 and Ca2 of the quality supervision coefficient and the cost supervision coefficient, and respectively substituting the quality supervision coefficient and the cost supervision coefficient into the corresponding reference ranges for comparative analysis;
when the quality supervision coefficient is larger than the maximum value of the corresponding preset reference range Ca1, generating a low medical quality feedback signal, when the quality supervision coefficient is within the corresponding preset reference range Ca1, generating a normal medical quality feedback signal, and when the quality supervision coefficient is smaller than the minimum value of the corresponding preset reference range Ca1, generating a high medical quality feedback signal;
when the cost supervision coefficient is larger than the maximum value of the corresponding preset reference range Ca2, generating a higher medical cost consumption signal, when the cost supervision coefficient is within the corresponding preset reference range Ca2, generating a normal medical cost consumption signal, and when the cost supervision coefficient is smaller than the minimum value of the corresponding preset reference range Ca2, generating a lower medical cost consumption signal;
and carrying out union set operation analysis processing on the fault degree type display judgment signal and the temperature measurement precision feedback grade type judgment signal, thereby obtaining a superior safety medical supervision signal, a middle safety medical supervision signal and a secondary safety medical supervision signal.
Further, the concrete operation steps of the union operational analysis processing are as follows:
determining a signal establishment set A according to the medical quality feedback type, calibrating a signal with high medical quality feedback as an element a1, calibrating a signal with normal medical quality feedback as an element a2, calibrating a signal with low medical quality feedback as an element a3, wherein the element a1 belongs to the set A, the element a2 belongs to the set A, and the element a3 belongs to the set A;
judging a signal according to the medical expense consumption type to establish a set B, marking a low medical expense consumption signal as an element B1, marking a normal medical expense consumption signal as an element B2, marking a high medical expense consumption signal as an element B3, wherein the element B1 belongs to the set B, the element B2 belongs to the set B, and the element B3 belongs to the set B;
and carrying out union processing on the sets A and B, generating a superior safety medical supervision signal if A $ B = { a1, B1}, generating secondary safety medical supervision signals if A $ B = { a3, B3} or { a2, B3} or { a3, B2}, and generating intermediate safety medical supervision signals if A $ B = { a1, B3} or { a3, B1} or { a2, B2 }.
Compared with the prior art, the invention has the beneficial effects that:
by utilizing the modes of symbolic calibration, formulated analysis and substitution comparison of gradient reference intervals, various medical service capability indexes of the hospital are integrated and analyzed, so that the medical service capability of the hospital is accurately analyzed, the high-efficiency integration of hospital resource data is realized, and a foundation is laid for realizing the quality improvement of hospital data resources;
by means of score assignment, data addition analysis and data size comparison analysis, accurate judgment and analysis of medical working efficiency of the hospital are achieved, and meanwhile data resource information of the hospital is promoted and analyzed from the aspect of medical working efficiency;
by means of normalized analysis, item-by-item judgment analysis and union operational analysis, all medical safety supervision indexes and all medical expense consumption indexes are integrated and analyzed, so that while the judgment and analysis of the medical safety degree of a hospital are clearly analyzed, the data quality of data resource information of the hospital is further improved from the medical safety supervision layer;
through the integration to each item data resource of hospital to improve hospital data management's quality, and realized the degree of depth profile and the data fine analysis of each aspect of hospital, promoted the promotion by a wide margin of hospital work efficiency.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a general block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an intelligent quality improvement system for managing hospital data resources includes a server, which is in communication connection with a service capability analysis unit, a medical efficiency analysis unit, a medical safety supervision analysis unit, a resource improvement feedback unit and a display terminal;
generating a medical capacity analysis instruction through a server, and sending the medical capacity analysis instruction to a service capacity analysis unit;
when the service ability analysis unit receives the medical ability analysis instruction, acquiring the medical service ability index in the hospital data resource information in real time according to the medical ability analysis instruction, and analyzing the medical ability, wherein the specific operation process is as follows:
acquiring the total case number, the total weight value, the case combination index, the four-level operation ratio and the minimally invasive operation ratio in the medical service capability index in the data resource information of the hospital in real time, respectively marking the total case number, the total weight value, the case combination index, the four-level operation ratio and the minimally invasive operation ratio as zbl, rw, cm, szb and wzb, carrying out formula analysis on the zbl, rw, cm, szb and wzb, and analyzing the formula according to the formula
Calculating medical capacity coefficients of a hospital, wherein e1, e2, e3, e4 and e5 are weight factor coefficients of a total case number, a total weight value, a case combination index, a four-level operation ratio and a minimally invasive operation ratio respectively, and all of e1, e2, e3, e4 and e5 are natural numbers larger than 0;
it should be noted that the weighting factor coefficient is used to balance the proportion weight of each item of data in the formula calculation, thereby promoting the accuracy of the calculation result;
setting gradient reference intervals Q1, Q2 and Q3 of the medical capacity coefficient, and substituting the medical capacity coefficient into preset gradient reference intervals Q1, Q2 and Q3 for comparative analysis, wherein the gradient reference intervals Q1, Q2 and Q3 are increased in a gradient manner;
when the medical capability coefficient is within a preset gradient reference interval Q1, generating a signal with insufficient medical service capability, when the medical capability coefficient is within a preset gradient reference interval Q2, generating a general signal with medical service capability, and when the medical capability coefficient is within a preset gradient reference interval Q3, generating a signal with strong medical service capability;
the signal that medical service ability lacks, the general signal of medical service ability or the signal that medical service ability is stronger are generated through the analysis to send it to resource promotion feedback unit through the server and carry out data feedback analysis processes, it is specific:
when a signal of lack of medical service capability is received, a text word mode of 'the medical service capability provided by a hospital is insufficient, and the management quality of the medical service capability of the hospital needs to be improved' is urgently needed to be sent to a display terminal for displaying and explaining;
when a general medical service capability signal is received, the general medical service capability provided by the hospital is sent to a display terminal in a text word mode of 'the general medical service capability provided by the hospital still needs to be improved' so as to be displayed and explained;
when a signal with higher medical service capability is received, the signal is sent to a display terminal in a text word mode of 'stronger medical service capability provided by a hospital' for displaying and explaining;
then, generating a medical efficiency analysis instruction by using the server, and sending the medical efficiency analysis instruction to a medical efficiency analysis unit;
when the medical efficiency analysis unit receives the medical efficiency analysis instruction, the medical efficiency index in the hospital data resource information is obtained in real time from the medical efficiency analysis unit, and the medical efficiency analysis is carried out, wherein the specific operation process is as follows:
average sick bed working day, sick bed rate of utilization, sick bed turnover number of times and the average date of being hospitalized of the patient of leaving hospital among the medical efficiency index of obtaining in real time among the data resource information of each department of hospital to carry out data comparison score with corresponding comparison scope Fw1, fw2, fw3, fw4 respectively and handle, specific:
when the average hospital bed working day is within the corresponding preset comparison range Fw1, the index of the average hospital bed working day is evaluated as 1, otherwise, when the average hospital bed working day is outside the corresponding preset comparison range Fw1, the index of the average hospital bed working day is evaluated as 0;
when the usage rate of the sickbed is within the corresponding preset comparison range Fw2, the index of the usage rate of the sickbed is rated as 1, otherwise, when the usage rate of the sickbed is outside the corresponding preset comparison range Fw2, the index of the usage rate of the sickbed is rated as 0;
when the number of patient bed turnover is within the corresponding preset comparison range Fw3 or the number of patient bed turnover is larger than the maximum value of the corresponding preset comparison range Fw3, the index of the average patient bed working day is rated as 1, otherwise, when the number of patient bed turnover is smaller than the minimum value of the corresponding preset comparison range Fw3, the index of the average patient bed working day is rated as 0;
when the average hospitalization date of the discharged patient is within the corresponding preset comparison range Fw4, the index of the average hospitalization date of the discharged patient is rated as 1, otherwise, when the average hospitalization date of the discharged patient is outside the corresponding preset comparison range Fw4, the index of the average hospitalization date of the discharged patient is rated as 0;
adding and analyzing the obtained score values of each index of the medical efficiency of each department, and obtaining a first evaluation score of the medical efficiency of each department;
the cure rate and the fatality rate in the medical efficiency index in the data resource information of each department of the hospital are obtained in real time and are respectively marked as zyl i And bsl i And performing formula analysis on the obtained product according to the formula
Obtaining a second medical efficiency coefficient of each department, wherein f1 and f2 are correction factor coefficients of a cure rate and a fatality rate respectively, f1 and f2 are natural numbers larger than 0, and i represents each department;
it should be noted that the correction factor coefficient is used to correct the deviation of each parameter in the formula calculation process, so as to calculate more accurate parameter data;
and substituting the second medical efficiency coefficients of all departments into a preset comparison range Fa1 respectively to perform numerical comparison analysis treatment, specifically:
when the second medical efficiency coefficient is smaller than the minimum value of the preset comparison range Fa1, the medical quality index of the department corresponding to the hospital is evaluated as 1 point;
when the second medical efficiency coefficient is within a preset comparison range Fa1, evaluating the medical quality index of the department corresponding to the hospital as 2 points;
when the second medical efficiency coefficient is larger than the maximum value of the preset comparison range Fa1, the medical quality index of the department corresponding to the hospital is rated as 3, and a second evaluation score of the medical efficiency of each department is obtained;
adding and analyzing the first evaluation score and the second evaluation score of each department to obtain the total medical efficiency evaluation value of each department;
setting a comparison threshold TT1 of the total medical efficiency score value, counting the number of departments with the total medical efficiency score value being more than or equal to the comparison threshold TT1, and marking the number of departments with the total medical efficiency score value being less than the comparison threshold TT1 as SL1, and counting the number of departments with the total medical efficiency score value being less than the comparison threshold TT1, and marking the number of departments with the total medical efficiency score value being less than the comparison threshold TT1 as SL2;
if SL1 is larger than SL2, generating a medical efficiency excellent judgment signal, otherwise, if SL1 is less than or equal to SL2, generating a medical efficiency poor judgment signal;
the generated medical efficiency optimal judgment signal and the generated medical efficiency poor judgment signal are sent to a resource improvement feedback unit through a server;
and then generating a medical supervision instruction through the server, and sending the medical supervision instruction to a medical safety supervision analysis unit for data feedback analysis processing, specifically:
when the medical efficiency optimal judgment signal is received, the medical efficiency optimal judgment signal is sent to a display terminal for displaying explanation in a text word mode of 'medical working efficiency of hospital is superior';
when the medical efficiency difference judging signal is received, the medical efficiency difference judging signal is sent to a display terminal in a text word mode of 'the medical work efficiency of the hospital is low, and the medical efficiency management quality of the hospital needs to be improved urgently' to be displayed and explained;
after the medical safety supervision and analysis unit receives the medical supervision instruction, the medical safety supervision and analysis unit acquires the medical safety supervision index and the medical expense consumption index in the hospital data resource information in real time and performs medical safety supervision and analysis, and the specific operation process is as follows:
acquiring periodic readmission rate, human head ratio and admission diagnosis load rate in medical safety supervision indexes in data resource information of a hospital in real time, respectively marking the periodic readmission rate, the human head ratio and the admission diagnosis load rate as zrl, rcb and zdf, and performing normalization analysis on the zrl, and obtaining quality supervision coefficients according to a formula svn = g1 zrl + g2 rcb + g3 zdf, wherein g1, g2 and g3 are weighting factor coefficients of the periodic readmission rate, the human head ratio and the admission diagnosis load rate respectively, and g1, g2 and g3 are natural numbers larger than 0;
acquiring a medicine cost ratio, a material cost ratio and a medical service cost ratio in a medical cost index in data resource information of a hospital in real time, respectively marking the medicine cost ratio, the material cost ratio and the medical service cost ratio as ypz, clz and fwz, and carrying out normalization analysis on the medicines, and obtaining cost supervision coefficients according to a formula fyx = g4 ypz + g5 clz + g6 fwz, wherein g4, g3 and g5 are weighting factor coefficients of the medicine cost ratio, the material cost ratio and the medical service cost ratio respectively, and g4, g3 and g5 are natural numbers larger than 0;
setting reference ranges Ca1 and Ca2 of the quality supervision coefficients and the cost supervision coefficients, and respectively substituting the quality supervision coefficients and the cost supervision coefficients into the corresponding reference ranges for comparative analysis;
when the quality supervision coefficient is larger than the maximum value of the corresponding preset reference range Ca1, generating a low medical quality feedback signal, when the quality supervision coefficient is within the corresponding preset reference range Ca1, generating a normal medical quality feedback signal, and when the quality supervision coefficient is smaller than the minimum value of the corresponding preset reference range Ca1, generating a high medical quality feedback signal;
when the cost supervision coefficient is larger than the maximum value of the corresponding preset reference range Ca2, generating a higher medical cost consumption signal, when the cost supervision coefficient is within the corresponding preset reference range Ca2, generating a normal medical cost consumption signal, and when the cost supervision coefficient is smaller than the minimum value of the corresponding preset reference range Ca2, generating a lower medical cost consumption signal;
the medical quality feedback type judgment signal and the medical expense consumption type judgment signal are subjected to union set operation analysis processing, specifically:
determining a signal establishment set A according to the medical quality feedback type, calibrating a signal with high medical quality feedback as an element a1, calibrating a signal with normal medical quality feedback as an element a2, calibrating a signal with low medical quality feedback as an element a3, wherein the element a1 belongs to the set A, the element a2 belongs to the set A, and the element a3 belongs to the set A;
judging a signal according to the medical expense consumption type to establish a set B, marking a low medical expense consumption signal as an element B1, marking a normal medical expense consumption signal as an element B2, marking a high medical expense consumption signal as an element B3, wherein the element B1 belongs to the set B, the element B2 belongs to the set B, and the element B3 belongs to the set B;
merging the sets A and B, if A $ B = { a1, B1}, generating a superior security medical supervision signal, if A $ B = { a3, B3} or { a2, B3} or { a3, B2}, generating secondary security medical supervision signals, and if A $ B = { a1, B3} or { a3, B1} or { a2, B2}, generating intermediate security medical supervision signals;
sending the obtained superior safety medical supervision signal, the intermediate safety medical supervision signal and the secondary safety medical supervision signal to a resource promotion feedback unit through a server;
when the resource promotion feedback unit receives the safety medical supervision judgment signals of all levels and performs data feedback analysis processing according to the safety medical supervision judgment signals, the specific operation process is as follows:
when receiving a superior safety medical supervision signal, sending the superior safety medical supervision signal to a display terminal for displaying and explaining in a text word mode of 'higher medical safety level of a hospital';
when receiving a middle-level safety medical supervision signal, sending a text word to a display terminal for displaying and explaining in a mode of taking the medical safety level of a hospital as a general state and still needing to improve the management quality of medical safety supervision of the hospital;
when the secondary safety medical supervision signal is received, the secondary safety medical supervision signal is sent to the display terminal in a text word mode of 'the medical safety level of the hospital is poor, and the management quality of medical safety supervision of the hospital needs to be improved urgently' for displaying and explaining.
When the system is used, according to a medical capability analysis instruction generated by the server, medical service capability indexes in hospital data resource information are called for medical capability analysis, and various medical service capability indexes of the hospital are integrated and analyzed by utilizing a mode of symbolic calibration, formulated analysis and substitution comparison of gradient reference intervals, so that the medical service capability of the hospital is accurately analyzed, the high-efficiency integration of hospital resource data is realized, and a foundation is laid for realizing the quality improvement of hospital data resources;
according to the medical efficiency analysis instruction, acquiring a medical efficiency index in the hospital data resource information in real time, analyzing the medical efficiency, and improving and analyzing the hospital data resource information from the medical efficiency level while realizing accurate judgment and analysis of the medical work efficiency of the hospital by means of score assignment, data addition analysis and data size comparison analysis;
according to the medical supervision instruction, acquiring medical safety supervision indexes and medical expense consumption indexes in hospital data resource information in real time, carrying out medical safety supervision analysis, and carrying out integrated analysis on various medical safety supervision indexes and various medical expense consumption indexes in a way of normalized analysis, item-by-item judgment analysis and union operation analysis, so that while the judgment and analysis on the medical safety degree of the hospital are definitely analyzed, the data quality of the data resource information of the hospital is further improved from the medical safety supervision layer;
and the data feedback analysis processing is carried out on each judgment signal by adopting a text word description mode, the judgment signals are sent to a display terminal for displaying and explaining in the text word description mode, and the data resources of the hospital are integrated in a data mode, so that the quality of data management is improved, the deep analysis and the data fine analysis of each layer of the hospital are realized, and the great improvement of the working efficiency of the hospital is promoted.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. A management intelligent quality improvement system based on hospital data resources is characterized by comprising a server, wherein the server is in communication connection with a service capacity analysis unit, a medical efficiency analysis unit, a medical safety supervision analysis unit, a resource improvement feedback unit and a display terminal;
the server generates a medical capability analysis instruction and sends the medical capability analysis instruction to the service capability analysis unit, and the service capability analysis unit acquires a medical service capability index in hospital data resource information in real time after receiving the medical capability analysis instruction and analyzes the medical capability;
acquiring the total case number, the total weight value, the case combination index, the four-stage operation ratio and the minimally invasive operation ratio in the medical service capability index in the data resource information of the hospital in real time, and performing formula analysis on the total case number, the total weight value, the case combination index, the four-stage operation ratio and the minimally invasive operation ratio to obtain a medical capability coefficient of the hospital;
setting gradient reference intervals Q1, Q2 and Q3 of the medical capacity coefficient, and substituting the medical capacity coefficient into the preset gradient reference intervals Q1, Q2 and Q3 for comparative analysis, wherein the gradient reference intervals Q1, Q2 and Q3 are increased in a gradient manner;
when the medical capability coefficient is within a preset gradient reference interval Q1, generating a signal with insufficient medical service capability, when the medical capability coefficient is within a preset gradient reference interval Q2, generating a general signal with medical service capability, and when the medical capability coefficient is within a preset gradient reference interval Q3, generating a signal with strong medical service capability;
the generated signal with the medical service capacity lack, the signal with the general medical service capacity or the signal with the strong medical service capacity is sent to a resource improvement feedback unit through a server;
the server generates a medical efficiency analysis instruction and sends the medical efficiency analysis instruction to the medical efficiency analysis unit, and the medical efficiency analysis unit acquires medical efficiency indexes in hospital data resource information in real time after receiving the medical efficiency analysis instruction and analyzes the medical efficiency, specifically:
acquiring the average hospital bed working day, the hospital bed utilization rate, the hospital bed turnover number and the average hospital stay day of discharged patients in the medical efficiency indexes in the data resource information of each department of the hospital in real time, and performing data comparison grading processing on the average hospital stay day and the corresponding preset comparison ranges Fw1, fw2, fw3 and Fw4 respectively to obtain the grading values of the medical efficiency indexes of each department, and adding and analyzing the grading values of the indexes of each department to obtain a first evaluation score of the medical efficiency of each department;
acquiring the cure rate and the fatality rate in the medical efficiency indexes in the data resource information of each department of the hospital in real time, and performing formula analysis on the cure rate and the fatality rate to obtain a second medical efficiency coefficient of each department;
respectively substituting the second medical efficiency coefficients of all departments into a preset comparison range Fa1 to perform numerical comparison analysis processing, and obtaining second evaluation scores of the medical efficiency of all departments;
adding and analyzing the first evaluation score and the second evaluation score of each department to obtain the total medical efficiency evaluation value of each department;
setting a comparison threshold TT1 of the total medical efficiency score value, counting the number of departments with the total medical efficiency score value being more than or equal to the comparison threshold TT1, calibrating the number of departments with the total medical efficiency score value being less than the comparison threshold TT1 as SL1, counting the number of departments with the total medical efficiency score value being less than the comparison threshold TT1, and calibrating the number of departments with the total medical efficiency score value being less than the comparison threshold TT1 as SL2;
if SL1 is larger than SL2, generating a medical efficiency excellent judgment signal, otherwise, if SL1 is less than or equal to SL2, generating a medical efficiency poor judgment signal;
sending the generated medical efficiency optimal judgment signal and the generated medical efficiency poor judgment signal to a resource promotion feedback unit through a server;
the server generates a medical supervision instruction and sends the medical supervision instruction to the medical safety supervision analysis unit, and the medical safety supervision analysis unit acquires medical safety supervision indexes and medical expense consumption indexes in hospital data resource information in real time after receiving the medical supervision instruction and performs medical safety supervision analysis, specifically:
acquiring the periodic readmission rate, the human head ratio and the admission diagnosis load rate in the medical safety supervision indexes in the data resource information of the hospital in real time, and performing normalization analysis on the periodic readmission rate, the human head ratio and the admission diagnosis load rate to obtain a quality supervision coefficient;
acquiring the drug cost ratio, the material cost ratio and the medical service cost ratio in the medical cost indexes in the data resource information of the hospital in real time, and carrying out normalization analysis on the drug cost ratio, the material cost ratio and the medical service cost ratio to obtain a cost supervision coefficient;
setting reference ranges Ca1 and Ca2 of the quality supervision coefficients and the cost supervision coefficients, and respectively substituting the quality supervision coefficients and the cost supervision coefficients into the corresponding reference ranges for comparative analysis;
when the quality supervision coefficient is larger than the maximum value of the corresponding preset reference range Ca1, generating a low medical quality feedback signal, when the quality supervision coefficient is within the corresponding preset reference range Ca1, generating a normal medical quality feedback signal, and when the quality supervision coefficient is smaller than the minimum value of the corresponding preset reference range Ca1, generating a high medical quality feedback signal;
when the cost supervision coefficient is larger than the maximum value of the corresponding preset reference range Ca2, generating a higher medical cost consumption signal, when the cost supervision coefficient is within the corresponding preset reference range Ca2, generating a normal medical cost consumption signal, and when the cost supervision coefficient is smaller than the minimum value of the corresponding preset reference range Ca2, generating a lower medical cost consumption signal;
performing union set operation analysis processing on the medical quality feedback type judgment signal and the medical expense consumption type judgment signal to obtain a superior safety medical supervision signal, a middle safety medical supervision signal and a secondary safety medical supervision signal;
the generated superior safety medical supervision signal, the generated intermediate safety medical supervision signal and the generated secondary safety medical supervision signal are sent to a resource improvement feedback unit through a server;
and the resource promotion feedback unit is used for receiving the medical analysis and judgment signals of various types, performing data feedback analysis processing according to the medical analysis and judgment signals, and sending the medical analysis and judgment signals to the display terminal in a text typeface description mode to display and explain.
2. The system of claim 1, wherein the data comparison and scoring process comprises the following steps:
when the average hospital bed working day is within the corresponding preset comparison range Fw1, the index of the average hospital bed working day is evaluated as 1, otherwise, when the average hospital bed working day is outside the corresponding preset comparison range Fw1, the index of the average hospital bed working day is evaluated as 0;
when the usage rate of the sickbed is within the corresponding preset comparison range Fw2, the index of the usage rate of the sickbed is rated as 1, otherwise, when the usage rate of the sickbed is outside the corresponding preset comparison range Fw2, the index of the usage rate of the sickbed is rated as 0;
when the turnover number of the sickbed is within the corresponding preset comparison range Fw3 or the turnover number of the sickbed is larger than the maximum value of the corresponding preset comparison range Fw3, the index of the average sickbed working day is evaluated as 1, otherwise, when the turnover number of the sickbed is smaller than the minimum value of the corresponding preset comparison range Fw3, the index of the average sickbed working day is evaluated as 0;
when the average hospitalization date of the discharged patient is within the corresponding preset comparison range Fw4, the index of the average hospitalization date of the discharged patient is rated as 1, otherwise, when the average hospitalization date of the discharged patient is outside the corresponding preset comparison range Fw4, the index of the average hospitalization date of the discharged patient is rated as 0.
3. The system of claim 1, wherein the numerical comparison analysis process comprises the following steps:
respectively substituting the second medical efficiency coefficients of all departments into a preset comparison range Fa1 for comparative analysis;
when the second medical efficiency coefficient is smaller than the minimum value of the preset comparison range Fa1, the medical quality index of the department corresponding to the hospital is rated as 1;
when the second medical efficiency coefficient is within a preset comparison range Fa1, evaluating the medical quality index of the department corresponding to the hospital as 2 points;
and when the second medical efficiency coefficient is larger than the maximum value of the preset comparison range Fa1, the medical quality index of the department corresponding to the hospital is rated as 3.
4. The system of claim 1, wherein the operational steps of the union operational analysis process are as follows:
judging a signal according to the medical quality feedback type to establish a set A, calibrating a signal with higher medical quality feedback as an element a1, calibrating a signal with less medical quality feedback normal as an element a2, calibrating a signal with less medical quality feedback as an element a3, wherein the element a1 belongs to the set A, the element a2 belongs to the set A, and the element a3 belongs to the set A;
judging a signal according to the medical expense consumption type to establish a set B, marking a low medical expense consumption signal as an element B1, marking a normal medical expense consumption signal as an element B2, marking a high medical expense consumption signal as an element B3, wherein the element B1 belongs to the set B, the element B2 belongs to the set B, and the element B3 belongs to the set B;
and carrying out union processing on the sets A and B, generating a superior safety medical supervision signal if A $ B = { a1, B1}, generating secondary safety medical supervision signals if A $ B = { a3, B3} or { a2, B3} or { a3, B2}, and generating intermediate safety medical supervision signals if A $ B = { a1, B3} or { a3, B1} or { a2, B2 }.
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