Interactive intelligent medical care system

Abstract

The invention discloses an interactive intelligent medical care system, and relates to the technical field of intelligent medical analysis interaction.The interactive intelligent medical care system is characterized in that a data acquisition module is used for acquiring key physiological index data of weight, heart rate, blood pressure and creatinine clearance rate of a patient in real time, and a data processing and analyzing module is used for analyzing the key physiological index data; the method comprises the following steps: performing dynamic drug dose adjustment, vital sign prediction and disease development trend analysis, drawing a change trend linear graph according to the disease development trend analysis, and performing drug dose adjustment, vital sign prediction and disease development trend analysis based on the drug dose adjustment, vital sign prediction and disease development trend analysis by using an Internet of Things communication module. According to the method, innovative mechanisms of refined body weight change processing, dynamic creatinine clearance rate Q abnormal value adjustment, accurate vital sign prediction and visual disease development trend analysis are introduced, so that the problems and defects in the prior art are effectively solved; and the accuracy, the real-time performance and the individuation level of medical care are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent medical analysis interaction technology, and in particular to an interactive intelligent medical care system. Background Art

[0002] In recent years, with the continuous advancement of medical informatization, the construction and improvement of key medical information systems such as hospital information systems, laboratory information systems, and medical image storage and transmission systems have provided a solid foundation for the centralized management and efficient use of medical data. The development of medical informatization has enabled medical institutions to more conveniently acquire, store, process and analyze patients' medical data, providing the necessary data support for the construction of interactive intelligent medical care systems.

[0003] Traditional medical care systems often ignore the impact of weight changes on drug dosage, or only adjust dosage through simple threshold judgments, lacking refined and personalized processing. Among them, creatinine clearance rate is an important indicator for evaluating renal function, and its abnormal values ​​are crucial for adjusting drug dosage. However, existing systems often lack comprehensive consideration of its abnormal values ​​and dynamic adjustment mechanisms. In addition, rapid changes in heart rate and blood pressure have an important impact on the patient's health status, but existing systems often find it difficult to accurately predict the changing trends of these vital signs, resulting in delayed and inaccurate nursing recommendations. In addition, traditional systems usually use text reports to display the development trend of the disease, which lacks intuitiveness and dynamism, making it difficult for patients and doctors to quickly grasp the changes in the disease. Summary of the invention

[0004] The purpose of the present invention is to provide an interactive intelligent medical care system to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, and the specific implementation steps are as follows: Step S1, using a data acquisition module to collect key physiological index data of the patient's weight, heart rate, blood pressure, and creatinine clearance in real time; Step S2, using the Internet of Things communication module to transmit the collected physiological index data to the intelligent medical care interaction system; Step S3, using the data processing and analysis module to perform dynamic drug dosage adjustment, vital sign prediction and disease development trend analysis, and draw a trend line graph based on the disease development trend analysis; Step S4, based on drug dosage adjustment, vital sign prediction and disease development trend analysis, and using the Internet of Things communication module, health data, disease change trends and personalized suggestions are displayed to doctors and patients; Among them, doctors and nurses use the IoT communication module to remotely monitor the patient's condition, intervene and handle abnormalities in a timely manner; The data processing and analysis module includes a unit for dynamically adjusting drug dosage based on physiological status, a unit for predicting the trend of changes in patients' vital signs, and a unit for analyzing the trend of disease progression; The equipment used in the data acquisition module includes a weight scale, a heart rate monitor, a blood pressure monitor and a creatinine testing device; The devices used in the Internet of Things communication module include Internet of Things communication equipment and smart terminals; The equipment used in the data processing and analysis module includes servers, storage devices, and cloud computing platforms; Among them, heart rate monitors, blood pressure monitors and creatinine testing devices are specifically wearable sensor devices.

[0006] Optionally, the calculation formula for dynamically adjusting the drug dosage unit based on the physiological state is as follows: YJ=[JJ×(T old +0.5×(bN))] / Q 0.5 ; in: YJ is the adjusted drug dose; JJ is the basic drug dosage, and JJ is initially set by the doctor based on the drug instructions and the patient's condition; T old is the patient's weight; b is the standard reference age, b reflects the current patient weight T old The reference age for benchmarking; N is the patient's age; Q is creatinine clearance, and Q reflects renal function.

[0007] Optionally, the drug dosage unit is dynamically adjusted based on the physiological state, wherein the patient's weight and creatinine clearance rate will both change during the treatment process, and the changes of the two will also affect the calculation of the drug dosage unit dynamically adjusted based on the physiological state, as follows: Changes to the calculation formula based on body weight; Patient weight T old Indicates that the initial weight is substituted when the weight fluctuation is controlled within 5%, and the current measured weight is the patient's new weight T new ; a=T old ×5%; a is the weight change; If T new -T old >a, the calculation formula for dynamically adjusting the drug dosage unit based on the physiological state is as follows: YJ=[JJ×(T new +0.5×(bN))] / Q0.5 ; Creatinine clearance changes the calculation formula; If Q min , then the calculation formula for dynamically adjusting the drug dosage unit based on the physiological state is as follows: YJ=c×[JJ×(T old +0.5×(bN))] / Q 0.5 ; in: c=min(1,(Q min / Q)); Q min is the minimum creatinine clearance rate, and c is the adjustment factor.

[0008] Optionally, the calculation formula of the unit for predicting the trend of changes in the patient's vital signs is as follows: ST=(XL / 100)×SY+0.2×YJ prev ; in: ST is the predicted value of vital signs; XL is heart rate; SY is the systolic blood pressure value; YJ prev This is the dosage of the drug after the previous adjustment.

[0009] Optionally, if the heart rate XL and systolic blood pressure value SY are abnormal and exceed the normal range, the prediction is immediately interrupted, and the Internet of Things communication module is used to contact the attending physician for timely diagnosis and treatment based on the records of the past period of time.

[0010] Optionally, the calculation formula of the disease development trend analysis unit is as follows: ; ST oldavg =(ST1+ST2+......+ST n ) / n; in: BFQ is the disease trend assessment value; ST oldavg is the predicted mean value of vital signs, ST oldavg It reflects the average value of the predicted value of vital signs ST in the past period of time and reflects the basic status of the patient; n is the total number; ST1+ST2+......+ST n Calculate the sum of the predicted values ​​ST of vital signs over a period of time.

[0011] ​Optionally, the analysis based on the disease trend assessment value BFQ and the disease trend assessment value BFQ over a period of time, using a line graph to reflect the dynamic changes of the disease condition of m disease trend assessment values ​​BFQ is as follows: If the m BFQ values ​​on the line graph fluctuate slightly and the overall trend is stable, it indicates that the patient's condition is relatively stable and should be treated and observed continuously; If the m condition trend assessment values ​​BFQ on the line graph show an upward trend and fluctuate greatly, it indicates that the patient's condition is worsening, and the doctor should adjust the treatment plan in time; If the m condition trend assessment values ​​BFQ on the line graph show a downward trend and the fluctuation gradually decreases, it indicates that the patient's condition is improving and the current treatment measures should continue to be taken.

[0012] Optionally, the Internet of Things communication module records and stores each of the patient's health data, disease condition change trends, and the doctor's personalized suggestions to the patient in the diagnosis and treatment records.

[0013] Compared with the prior art, the present invention has the following beneficial effects: First, the present invention introduces the patient's weight T old The weight change a based on the patient's new weight T new The new calculation formula after comparison, as well as consideration of the impact of age on weight, enables the intelligent medical care interaction system to more accurately reflect changes in the patient's weight, adjust the drug dosage accordingly, and thus achieve personalized care.

[0014] 2. The intelligent medical care interactive system of the present invention has a built-in adjustment factor c of creatinine clearance rate Q. This factor decreases as the creatinine clearance rate Q decreases, thereby dynamically adjusting the drug dosage. This mechanism can more accurately reflect changes in renal function, thereby improving the accuracy and safety of drug dosage.

[0015] 3. The intelligent medical care interactive system of the present invention monitors the patient's heart rate and blood pressure data in real time and sets up an abnormal value processing mechanism. When the heart rate and blood pressure exceed the normal range, it can contact the doctor in time for re-diagnosis and adjust the calculation method based on the diagnosis, thereby improving the accuracy and real-time performance of vital signs prediction.

[0016] 4. The system of the present invention uses a line graph visualization tool to display the changing trend of the disease trend assessment value BFQ, so that patients and doctors can intuitively understand the dynamic change process of the disease, which is convenient for timely intervention measures and adjustment of treatment plans. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A method flow chart of the interactive intelligent medical care system; Figure 2 The schematic diagram of the loop feedback structure after analysis of this interactive intelligent medical care system; Figure 3 This is a schematic diagram of a line graph of the present invention showing a stable condition; Figure 4 The line graph of the present invention is a schematic diagram showing the worsening of the disease condition; Figure 5 The line graph of the present invention is a schematic diagram showing that the condition of the patient has improved. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Regarding this interactive intelligent medical care system, it is different from traditional medical care methods. Traditional medical care methods often rely on the doctor's experience and the patient's self-report, which makes it difficult to achieve continuous, dynamic monitoring and timely adjustment of the patient's health status. This algorithm unit effectively solves the problems and shortcomings of existing technologies by introducing innovative mechanisms such as refined weight change processing, dynamic creatinine clearance Q abnormal value adjustment, accurate vital signs prediction and intuitive disease development trend analysis, and improves the accuracy, real-time and personalization of medical care.

[0020] For example, see Figures 1 to 5 , this implementation provides an interactive intelligent medical care system, and the specific implementation steps are as follows: Step S1, using a data acquisition module to collect key physiological index data of the patient's weight, heart rate, blood pressure, and creatinine clearance in real time; Step S2, using the Internet of Things communication module to transmit the collected physiological index data to the intelligent medical care interaction system; Step S3, using the data processing and analysis module to perform dynamic drug dosage adjustment, vital sign prediction and disease development trend analysis, and draw a trend line graph based on the disease development trend analysis; Step S4, based on drug dosage adjustment, vital sign prediction and disease development trend analysis, and using the Internet of Things communication module, health data, disease change trends and personalized suggestions are displayed to doctors and patients; Doctors and nurses use the IoT communication module to remotely monitor the patient's condition, intervene and handle abnormalities in a timely manner. The IoT communication module records and stores each patient's health data, disease change trends, and the doctor's personalized advice to the patient in the diagnosis and treatment records. The data processing and analysis module includes a unit for dynamically adjusting drug dosage based on physiological status, a unit for predicting the trend of changes in patients' vital signs, and a unit for analyzing the trend of disease development; The equipment used in the data collection module includes a weight scale, a heart rate monitor, a blood pressure monitor, and a creatinine testing device; The devices used in the IoT communication module include IoT communication equipment and smart terminals; The equipment used in the data processing and analysis module includes servers, storage devices, and cloud computing platforms; Among them, heart rate monitors, blood pressure monitors and creatinine testing devices are specifically wearable sensor devices.

[0021] In this embodiment, the system, through the cooperation of three algorithm units, together constitutes the core framework for comprehensive monitoring, precise treatment and effective management of the patient's condition. Combining the three operation results of YJ, ST and BFQ, it not only reflects the scientificity and precision of medical care, but also provides patients with a safer and more effective treatment experience. YJ is the adjusted drug dosage, and its purpose is to dynamically adjust the drug dosage according to the patient's real-time physiological state. This is a key step to ensure that the patient obtains an appropriate treatment dose. It can more accurately reflect the patient's physiological changes and adjust the drug dosage accordingly, thereby improving the treatment effect and patient safety. ST is the predicted value of vital signs, which can more accurately predict the changes in vital signs. This prediction function helps medical staff to promptly discover and deal with potential Health risks, so as to avoid worsening of the disease. BFQ is the disease trend assessment value. This calculation result can intuitively show the changing trend of the disease, provide important reference information for medical staff, and display the results of the disease trend assessment value BFQ through tools such as line graphs. Patients and doctors can understand the development of the disease more clearly, so as to formulate more reasonable treatment plans and adjustment strategies. The calculation results of BFQ can also affect the calculation of feedback to YJ and ST, so that the three algorithms of this system have a high correlation and entanglement, so that the overall algorithm system can perform automatic feedback and optimization according to the actual situation to be closer to reality. At the same time, this mechanism also helps to reduce unnecessary drug waste and reduce medical costs to provide patients with more economical and efficient treatment services.

[0022] See also Figures 1 to 5 , the calculation formula for dynamically adjusting the drug dosage unit based on the physiological state is as follows: YJ=[JJ×(T old +0.5×(bN))] / Q 0.5 ; in: YJ is the adjusted drug dose; JJ is the basic drug dosage, and JJ is initially set by the doctor based on the drug instructions and the patient's condition; T old is the patient's weight; b is the standard reference age, b reflects the current patient weight T old The reference age for benchmarking; N is the patient's age; Q is creatinine clearance, and Q reflects renal function; The drug dosage unit is dynamically adjusted based on the physiological state, wherein the patient's weight and creatinine clearance rate will both change during the treatment process, and the changes of the two will also affect the calculation of the drug dosage unit dynamically adjusted based on the physiological state, as follows: Changes to the calculation formula based on body weight; Patient weight T old Indicates that the initial weight is substituted when the weight fluctuation is controlled within 5%, and the current measured weight is the patient's new weight T new ; a=T old ×5%; a is the weight change; If T new -T old >a, the calculation formula for dynamically adjusting the drug dosage unit based on the physiological state is as follows: YJ=[JJ×(T new +0.5×(bN))] / Q 0.5 ; Creatinine clearance changes the calculation formula; If Q min , the calculation formula for dynamically adjusting the drug dosage unit based on the physiological state is as follows: YJ=c×[JJ×(T old +0.5×(bN))] / Q 0.5 ; in: c=min(1,(Q min / Q)); Q min is the minimum creatinine clearance rate, and c is the adjustment factor.

[0023] ​In this embodiment: First, in this algorithm unit, 0.5 is an empirical coefficient used to adjust the effect of age on weight. Specifically, as age increases, the basal metabolic rate decreases, so the calculation of the "ideal weight" needs to be adjusted, and the specific value of 0.5 varies depending on the type of drug and patient characteristics, and needs to be determined by the doctor. The standard reference age b represents the standard reference age for adult weight, which is used to calculate age-related weight adjustment. As age increases, the body's ability to metabolize drugs will decrease, so it is necessary to adjust the dosage in this way; The core of the algorithm's dynamic adjustment of drug dosage based on physiological state is that it can dynamically adjust drug dosage according to the patient's real-time physiological state. This is mainly due to the introduction of two key factors: weight change a and adjustment factor c. Specifically, weight is an important variable in drug dosage calculation because changes in weight will directly affect the distribution and metabolism of drugs in the body. old ×5%” to calculate the current weight change a, and then according to the patient's weight T old The patient's new weight T new The intelligent medical care interactive system can keenly capture the significant changes in weight and recalculate the drug dosage accordingly to ensure that the dosage matches the patient's current weight. If the weight change does not exceed a, the drug dosage will still be based on the patient's weight T. old Substitute it into the calculation to ensure the initial diagnosis of the dose and avoid physiological discomfort and rejection caused by overly flexible dose adjustment; In addition, creatinine clearance Q is an important indicator for evaluating renal function. The change of its value reflects the status of renal function. The adjustment factor c of creatinine clearance Q in the drug dosage unit can be adjusted dynamically based on the physiological state. The adjustment factor c can be adjusted based on the creatinine clearance Q compared with the minimum creatinine clearance Q. min The drug dosage is automatically reduced according to the decrease in renal function, thereby avoiding the risk of drug overdose in the case of impaired renal function. This precise drug dosage adjustment strategy helps to improve treatment effects, reduce drug side effects, and ensure patient safety. The parameters in the drug dosage unit are dynamically adjusted based on the physiological state, including 0.5 and b. Although they are set based on empirical values, they are not fixed. These parameters can be adjusted according to different types of drugs and patient characteristics to achieve personalized treatment. Personalized treatment is one of the important trends in modern medicine. It emphasizes the formulation of targeted treatment plans based on the specific conditions of patients. By adjusting the parameters in the drug dosage unit dynamically based on the physiological state, the system can more accurately reflect the patient's physiological characteristics and drug reactions, thereby formulating a treatment plan that better meets the patient's needs. This personalized treatment strategy helps to improve treatment effects, reduce unnecessary drug waste, and enhance patients' treatment experience and satisfaction.

[0024] See also Figures 1 to 5 , the calculation formula for predicting the trend unit of patient vital signs changes is as follows: ST=(XL / 100)×SY+0.2×YJ prev ; in: ST is the predicted value of vital signs; XL is heart rate; SY is the systolic blood pressure value; YJ prev The drug dosage after the previous adjustment; If the heart rate XL and systolic blood pressure value SY are abnormal and outside the normal range, the prediction will be interrupted immediately, and the IoT communication module will be used to contact the attending physician for timely diagnosis and treatment based on the records of the past period of time.

[0025] In this embodiment, firstly, the heart rate XL and the systolic blood pressure value SY are important indicators reflecting the patient's vital signs. Their rapid changes often indicate the deterioration of the patient's condition and the occurrence of complications. By setting reasonable thresholds and monitoring the changes of the heart rate XL and the systolic blood pressure value SY in real time, the intelligent medical care interaction system can promptly issue an alarm in abnormal situations and remind medical staff to pay attention to the patient's condition. This real-time vital sign monitoring mechanism helps medical staff to promptly discover and deal with potential health risks and avoid deterioration of the condition or the occurrence of complications. When the heart rate XL and the systolic blood pressure value SY exceed the normal range, the intelligent medical care interaction system will not only issue an alarm, but also require re-evaluation of the patient's condition, contact the doctor for re-diagnosis and adjust the calculation method. This early warning and intervention mechanism reflects the intelligent medical care interaction system's continuous attention to the patient's condition and flexible adjustment of the treatment plan. By re-evaluating the patient's condition, contacting the doctor for re-diagnosis and adjusting the calculation method, including adjusting the parameters and weights in the unit model for predicting the trend of changes in the patient's vital signs, the intelligent medical care interaction system can more accurately reflect the patient's real-time condition and formulate a more effective treatment plan. This early warning and intervention mechanism helps to improve the pertinence and effectiveness of treatment and ensure the safety of patients. The drug dosage after the last adjustment YJ prev It directly reflects the change in drug dosage after the last treatment adjustment. By incorporating it into the calculation of the unit predicting the trend of changes in patients' vital signs, the intelligent medical care interaction system can instantly evaluate the immediate impact of this dosage change on patients' vital signs. This helps medical staff quickly understand the effectiveness of the treatment plan and make further adjustment decisions accordingly. The effect of drugs in the body is often not isolated, but cumulative. The drug dosage after the last adjustment is YJ prev It not only affects the immediate vital signs, but also has a lasting impact on subsequent vital signs. By considering the previous adjustment of the drug dose YJprev , the unit for predicting the trend of changes in patients' vital signs can more comprehensively evaluate the cumulative effect of drugs in patients, thereby providing more accurate predictions of vital signs; The changes of vital signs are affected by many factors, among which drug dosage is an important controllable factor. prev As an input parameter, the unit for predicting the trend of changes in patient vital signs can more accurately capture the impact of changes in drug dosage on vital signs, thereby improving the accuracy of prediction, which helps medical staff to more accurately judge the development trend of the patient's condition and formulate a more reasonable treatment plan. Each patient's physiological condition, drug metabolism ability and disease severity are different. Therefore, during the treatment process, personalized adjustments need to be made according to the patient's specific situation. By considering the drug dosage YJ after the previous adjustment prev , the intelligent medical care interaction system can better adapt to the individual differences of patients and achieve more accurate personalized treatment, which helps to improve treatment effects, reduce unnecessary drug side effects, and enhance patients' treatment experience and satisfaction.

[0026] See also Figures 1 to 5 , the calculation formula of the disease development trend analysis unit is as follows: ; ST oldavg =(ST1+ST2+......+ST n ) / n; in: BFQ is the disease trend assessment value; ST oldavg is the predicted mean value of vital signs, ST oldavg It reflects the average value of the predicted value of vital signs ST in the past period of time and reflects the basic status of the patient; n is the total number; ST1+ST2+......+ST n Calculate the sum of the predicted values ​​ST of vital signs over a period of time.

[0027] In this embodiment, the disease development trend analysis unit calculates the disease trend evaluation value BFQ and uses a line graph tool to display the changing trend of the disease. This visualization method enables patients and doctors to intuitively understand the development of the disease and predict future changing trends. By observing the data points and trend lines on the line graph, patients and doctors can clearly see the fluctuations and changing trends of the disease, thereby more accurately evaluating the treatment effect and predicting future treatment needs. This disease development trend visualization mechanism helps patients and doctors communicate better and jointly formulate and adjust treatment plans; It is worth noting that the calculation of the disease trend assessment value BFQ not only takes into account the vital signs predicted value ST and the vital signs predicted average value ST oldavg The changes also incorporate the adjustment factor of drug dosage. This feedback mechanism enables the intelligent medical care interaction system to adjust the drug dosage and care plan in real time according to the treatment effect. When the disease trend assessment value BFQ shows that the disease is not effectively controlled and there is a trend of deterioration, the intelligent medical care interaction system can automatically prompt the doctor to adjust the drug dosage or change the treatment plan to better control the disease. This feedback and adjustment mechanism makes the treatment process more flexible and efficient, and can dynamically adjust the treatment plan according to the patient's real-time condition, thereby improving the treatment effect and patient satisfaction.

[0028] For example 2, please refer to Figures 1 to 5 Based on the disease trend assessment value BFQ and the disease trend assessment value BFQ over the past period of time, the analysis of the dynamic changes of the disease trend assessment values ​​BFQ reflected by the line graph is as follows: If the m BFQ values ​​on the line graph fluctuate slightly and the overall trend is stable, it means that the patient's condition is relatively stable and should be treated and observed continuously; If the m condition trend assessment values ​​BFQ on the line graph show an upward trend and fluctuate greatly, it indicates that the patient's condition is worsening, and the doctor should adjust the treatment plan in time; If the m condition trend assessment values ​​BFQ on the line graph show a downward trend and the fluctuation gradually decreases, it indicates that the patient's condition is improving and the current treatment measures should continue to be taken.

[0029] In this embodiment, the m disease trend assessment values ​​BFQ show that the disease is worsening, and the doctor will adjust the treatment plan based on this information, including adjusting the drug dosage. This adjustment will be reflected in the calculation of the new drug dosage unit based on physiological state dynamic adjustment, because the calculation of the drug dosage unit based on physiological state dynamic adjustment depends on factors including weight, age, renal function and the doctor's adjustment based on the disease trend assessment value BFQ result. Therefore, although the disease development trend analysis unit does not directly modify the parameters in the drug dosage unit based on physiological state dynamic adjustment, it indirectly affects the calculation and adjustment of subsequent drug dosage by providing feedback on disease changes. This cyclic effect reflects the dynamic and interactive nature of data analysis and decision-making in the intelligent medical care interactive system; In this embodiment, the disease development trend analysis unit provides a basis for dynamically adjusting the drug dosage for the drug dosage unit based on physiological state by calculating the disease trend evaluation value BFQ and observing the disease change trend. When the disease trend evaluation value BFQ shows that the disease is not effectively controlled and there is a trend of deterioration, the intelligent medical care interaction system can automatically or prompt the doctor to adjust the drug dosage calculation parameters in the drug dosage unit based on physiological state according to the result of the disease trend evaluation value BFQ, so as to better control the disease. This mechanism of dynamically adjusting the drug dosage makes the treatment process more flexible and accurate, and can timely adjust the drug dosage according to the real-time changes in the patient's condition, thereby improving the treatment effect and patient safety. The cyclic influence system of the drug dosage unit dynamically adjusting based on physiological status through the disease development trend analysis unit can form a closed-loop feedback adjustment mechanism, in which the disease development trend analysis unit is responsible for monitoring and analyzing the disease development trend and providing feedback information, and the drug dosage unit dynamically adjusting based on physiological status adjusts the drug dosage calculation parameters according to the feedback information to achieve precise treatment. This closed-loop feedback adjustment mechanism makes the treatment process more systematic and scientific, and can dynamically adjust the treatment plan according to the patient's real-time disease changes, thereby improving the treatment effect and patient satisfaction. At the same time, this mechanism also helps to reduce unnecessary drug waste and reduce medical costs to provide patients with more economical and efficient treatment services; In addition, it is worth noting that the line graph presented by the m disease trend assessment values ​​BFQ shows the changing trend of the disease in a graphical way, so that doctors and patients can intuitively understand the dynamic changes of the disease, and the line graph forms a continuous curve by connecting the disease trend assessment values ​​BFQ values ​​at different time points, thereby reflecting the continuous change process of the disease. By observing the trend of the line graph, doctors can predict the future development of the disease and formulate a more reasonable treatment plan accordingly. Most importantly, the line graph provides rich disease information and provides strong support for doctors' decision-making. Doctors can adjust the treatment plan in time according to the information on the line graph to better control the development of the disease.

[0030] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An interactive intelligent medical care system, characterized in that: The specific implementation steps are as follows: Step S1, using a data acquisition module to collect key physiological index data of the patient's weight, heart rate, blood pressure, and creatinine clearance in real time; Step S2, using the Internet of Things communication module to transmit the collected physiological index data to the intelligent medical care interaction system; Step S3, using the data processing and analysis module to perform dynamic drug dosage adjustment, vital sign prediction and disease development trend analysis, and draw a trend line graph based on the disease development trend analysis; Step S4, based on drug dosage adjustment, vital sign prediction and disease development trend analysis, and using the Internet of Things communication module, health data, disease change trends and personalized suggestions are displayed to doctors and patients; Among them, doctors and nurses use the IoT communication module to remotely monitor the patient's condition, intervene and handle abnormalities in a timely manner; The data processing and analysis module includes a unit for dynamically adjusting drug dosage based on physiological status, a unit for predicting the trend of changes in patients' vital signs, and a unit for analyzing the trend of disease progression.

2. An interactive intelligent medical care system according to claim 1, characterized in that: The equipment used in the data acquisition module includes a weight scale, a heart rate monitor, a blood pressure monitor and a creatinine testing device; The devices used in the IoT communication module include IoT communication devices and smart terminals; The equipment used in the data processing and analysis module includes servers, storage devices, and cloud computing platforms; Among them, heart rate monitors, blood pressure monitors and creatinine testing devices are specifically wearable sensor devices.

3. An interactive intelligent medical care system according to claim 2, characterized in that: The calculation formula for dynamically adjusting the drug dosage unit based on the physiological state is as follows: YJ=[JJ×(T old +0.5×(b-N))] / Q 0.5 ; in: YJ is the adjusted drug dose; JJ is the basic drug dosage, and JJ is initially set by the doctor based on the drug instructions and the patient's condition; T old is the patient's weight; b is the standard reference age, b reflects the current patient weight T old The reference age for benchmarking; N is the patient's age; Q is creatinine clearance, and Q reflects renal function.

4. An interactive intelligent medical care system according to claim 3, characterized in that: The drug dosage unit is dynamically adjusted based on the physiological state, wherein the patient's weight and creatinine clearance rate both change during the treatment process, and the changes of the two also affect the calculation of the drug dosage unit dynamically adjusted based on the physiological state, as follows: Changes to the calculation formula based on body weight; Patient weight T old Indicates that the initial weight is substituted when the weight fluctuation is controlled within 5%, and the current measured weight is the patient's new weight T new ; a=T old ×5%; a is the weight change; If T new -T old >a, the calculation formula for dynamically adjusting the drug dosage unit based on the physiological state is as follows: YJ=[JJ×(T new +0.5×(b-N))] / Q 0.5 ; Creatinine clearance changes the calculation formula; If Q min , then the calculation formula for dynamically adjusting the drug dosage unit based on the physiological state is as follows:​ YJ=c×[JJ×(T old +0.5×(b-N))] / Q 0.5 ; in: c=min(1,(Q min / Q)); Q min is the minimum creatinine clearance rate, and c is the adjustment factor.

5. An interactive intelligent medical care system according to claim 4, characterized in that: The calculation formula of the unit for predicting the trend of changes in the patient's vital signs is as follows: ST=(XL / 100)×SY+0.2×YJ prev ; in: ST is the predicted value of vital signs; XL is heart rate; SY is the systolic blood pressure value; YJ prev This is the dosage of the drug after the previous adjustment.

6. An interactive intelligent medical care system according to claim 5, characterized in that: If the heart rate XL and the systolic blood pressure value SY are abnormal and beyond the normal range, the prediction is immediately interrupted, and the Internet of Things communication module is used to contact the attending physician for timely diagnosis and treatment based on the records of the past period of time.

7. An interactive intelligent medical care system according to claim 6, characterized in that: The calculation formula of the disease development trend analysis unit is as follows: ； ST oldavg =(ST1+ST2+......+ST n ) / n; in: BFQ is the disease trend assessment value; ST oldavg is the predicted mean value of vital signs, ST oldavg It reflects the average value of the predicted value of vital signs ST in the past period of time and reflects the basic status of the patient; n is the total number; ST1+ST2+......+ST n Calculate the sum of the predicted values ​​ST of vital signs over a period of time.

8. An interactive intelligent medical care system according to claim 7, characterized in that: Based on the disease trend assessment value BFQ and the disease trend assessment value BFQ in the past period of time, the analysis of the dynamic changes of the disease trend assessment values ​​BFQ reflected by the line graph is as follows: If the m condition trend assessment values ​​BFQ on the line graph fluctuate slightly and the overall trend is stable, it indicates that the patient's condition is relatively stable and treatment and continuous observation should be maintained; If the m condition trend assessment values ​​BFQ on the line graph show an upward trend and fluctuate greatly, it indicates that the patient's condition is worsening, and the doctor should adjust the treatment plan in time; If the m condition trend assessment values ​​BFQ on the line graph show a downward trend and the fluctuation gradually decreases, it indicates that the patient's condition is improving and the current treatment measures should continue to be taken.

9. An interactive intelligent medical care system according to claim 2, characterized in that: The IoT communication module records and stores each patient's health data, disease condition change trends, and the doctor's personalized advice to the patient in the diagnosis and treatment records.

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