Medical resource allocation system based on heat stroke criticality score

Abstract

The invention belongs to the technical field of medical resource allocation, and particularly relates to a medical resource allocation system based on a heat stroke criticality score, which comprises a patient portrait module and a medical resource allocation module, and is characterized in that the patient portrait module comprises a basic information collection unit, a heat stroke criticality evaluation unit and a patient information storage unit; the medical resource allocation module comprises a treatment priority calculation unit, a medical resource verification unit, a medical resource allocation decision unit and a medical information storage unit; according to the method, the criticality degree of a patient can be quantitatively evaluated by introducing a heat stroke criticality evaluation score, medical care resources, equipment and treatment priorities are intelligently allocated according to the criticality degree, subjectivity and delay caused by traditional triage depending on artificial experience are avoided, and the medical care state is monitored in real time, tasks are intelligently allocated, and the condition of an illness is regularly evaluated, so that the patient criticality degree is quantitatively evaluated. Idle and mismatching of resources are effectively avoided, and the system is particularly suitable for emergency medical management when heat stroke intensively outbreaks in high-temperature seasons.

Description

Technical Field

[0001] This invention belongs to the field of medical resource allocation technology, specifically a medical resource allocation system based on heatstroke criticality scoring. Background Technology

[0002] Heatstroke is a fatal emergency with a rapid onset and progression. Its treatment outcome is highly dependent on early and rapid cooling and multi-organ function support. During the hot summer months, hospitals (especially emergency departments and ICUs) may face a surge in heatstroke patients, leading to a severe shortage of medical resources, particularly experienced medical staff, in a short period of time.

[0003] The current hospital scheduling and medical staff allocation rely heavily on manual triage at the nurses' station or the experience judgment of the attending physician, lacking an objective and quantitative decision support system. When multiple critically ill patients are admitted at the same time and there is a shortage of professional medical staff, problems such as allocation delays and resource misallocation are likely to occur, which may delay the rescue of the most critically ill patients, thereby affecting the overall success rate of treatment and the efficiency of medical resource utilization.

[0004] Therefore, there is an urgent need for a medical resource allocation system that can intelligently optimize medical resources under resource constraints based on objective criticality scores in order to improve treatment efficiency; to this end, the present invention provides a medical resource allocation system based on heatstroke criticality scores. Summary of the Invention

[0005] In order to overcome the shortcomings of the prior art, at least one technical problem raised in the background art is solved.

[0006] The technical solution adopted by the present invention to solve its technical problem is: a medical resource allocation system based on heatstroke criticality score, comprising a patient profiling module for collecting patient information data and constructing patient information files based on the data; The patient profiling module includes: The basic information collection unit is used to collect basic information such as age, gender, height, and weight of individuals. The heatstroke critical care assessment unit is used to assess the severity of a patient's condition based on their vital signs and output the assessment results. The patient information storage unit is used to store the patient's medical records. The medical resource allocation module is used to allocate appropriate medical resources based on the severity of the patient's heatstroke. The medical resource allocation module includes: The treatment priority calculation unit is used to dynamically calculate the treatment priority of patients based on the severity of their heatstroke and the waiting time. ; The medical and nursing resource verification unit is used to obtain the current working status, work location and work content of each doctor and nurse to determine whether medical and nursing resources are sufficient. The medical and nursing resource allocation decision-making unit is used to allocate doctors and nurses to treat and care for patients; The medical information storage unit is used to store the basic information and work records of each doctor and nurse.

[0007] Preferably, the heatstroke critical scoring unit includes a heatstroke critical scoring form, an information input component, a timed detection and reminder component, and a comprehensive scoring component; The information entry component is designed for medical staff and provides a port for them to enter patients' vital signs data. The heatstroke critical care scoring system covers nine key patient vital signs parameters and provides an HSSS score based on the values ​​of these vital signs parameters. The timed detection and reminder component is designed for medical staff and sends them timed reminders to re-enter patient vital signs data. The comprehensive assessment component is used to output an assessment result of low risk, medium risk, or high risk based on the score obtained from the heatstroke critical illness scoring scale.

[0008] Preferably, when the medical and nursing resource verification unit determines that medical and nursing resources are sufficient, the logic of the medical and nursing allocation decision unit in allocating doctors and nurses within the hospital is as follows: If the patient's heatstroke severity assessment is low risk, then based on the current status of each medical staff member, arrange for intensive care unit doctors and nurses to administer fluid replacement, cooling, and monitoring according to the standardized treatment plan, and reassess the HSSS score every 24 hours. If a patient's heatstroke is assessed as intermediate risk, then based on the current status of each medical staff member, a senior resident physician or attending physician in the intensive care unit will be assigned to lead the treatment, and the HSSS score will be reassessed every 12 hours. If a patient is assessed as high-risk for heatstroke, the ICU expert team will provide multidisciplinary collaborative treatment, monitor the patient's vital signs in real time, and reassess the HSSS score every 6 hours.

[0009] Preferably, when the medical and nursing resource verification unit determines that medical and nursing resources are insufficient, the logic of the medical and nursing allocation decision unit in allocating doctors and nurses within the hospital is as follows: Obtain the patient's heatstroke severity assessment. If the assessment is low-risk, the treatment priority calculation unit will run to calculate the patient's treatment priority. Meanwhile, the system monitors the status of each medical staff member in real time through the medical staff resource verification unit. When a medical staff member is available, the system prioritizes their availability for treatment. The highest number of patients.

[0010] Preferably, the treatment priority The calculation method is as follows: in For the current HSSS score, Based on the previous HSSS score, For evaluation The time, For evaluation The time, The waiting time from the patient's admission to the present. and These are the weighting coefficients.

[0011] Preferably, if a patient's heatstroke severity assessment classifies them as medium or high risk, the medical resource verification unit automatically checks whether there are currently ICU staff or senior doctors treating low-risk patients. If so, it sends an "emergency task scrambling" alert to them and simultaneously filters for doctors in other departments who are currently available, determining their support coefficient. According to the support coefficient The system automatically recommends replacements for doctors currently responsible for low-risk patients.

[0012] Preferably, the support coefficient The calculation method is as follows: in For professional relevance, This is the physical distance coefficient. , These are the weighting coefficients.

[0013] Preferably, if the patient's heatstroke severity assessment is medium risk or high temperature, and the medical resource verification unit does not currently have an ICU or senior physician treating low-risk patients, then a signal indicating no available resources will be output. It also includes a medical plan suggestion module, which generates a survival index based on HSSS score and end-stage indicators when the medical resource allocation module has no resources available. This helps the medical team identify patients with extremely low survival probability and provide palliative care suggestions.

[0014] Preferably, the survival index is calculated as follows: Preferably, the , The calculation method is as follows: .

[0015] The beneficial effects of this invention are as follows: 1. The medical resource allocation system based on heatstroke criticality scoring described in this invention can quantitatively assess the severity of a patient's condition by introducing a heatstroke criticality scoring system (HSSS), and intelligently allocate medical resources, equipment, and treatment priorities accordingly, avoiding the subjectivity and delays caused by traditional triage based on human experience.

[0016] 2. The medical resource allocation system based on heatstroke criticality score described in this invention dynamically calculates treatment priority according to changes in the patient's HSSS score and waiting time, ensuring that patients whose condition deteriorates rapidly or whose waiting time is long receive priority treatment, effectively reducing the mortality rate of critically ill patients.

[0017] 3. The medical resource allocation system based on heatstroke criticality scoring described in this invention, when resources are scarce, assesses the professional relevance and physical distance of doctors through a support coefficient, thereby enabling the rational scheduling of medical staff across departments and improving resource utilization efficiency and response speed.

[0018] 4. The medical resource allocation system based on heatstroke criticality scoring described in this invention can generate a survival index when medical resources are extremely scarce. This helps medical teams identify patients with extremely low chances of survival and recommends transferring them to palliative care, thus enabling limited resources to be allocated more fairly and effectively to patients with a chance of recovery. 5. The medical resource allocation system based on heatstroke severity scoring described in this invention effectively avoids resource idleness and misallocation by real-time monitoring of medical staff status, intelligent task allocation, and regular reassessment of patients' conditions. It is especially suitable for emergency medical management during concentrated outbreaks of heatstroke in high-temperature seasons. Attached Figure Description

[0019] The invention will now be further described with reference to the accompanying drawings.

[0020] Figure 1 This is a system framework diagram of the present invention; Figure 2 This is a distribution map of the number of damaged systems in heatstroke patients; Figure 3 This is a frequency distribution diagram of combined damage to two systems in patients with heatstroke; Figure 4 This is a frequency distribution map of combined damage to the three systems in patients with heatstroke; Figure 5 This is a ROC curve analysis of the HSSS score used to predict the prognosis of heatstroke patients. Detailed Implementation

[0021] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0022] like Figures 1 to 5 As shown in the embodiment of the present invention, a medical resource allocation system based on heatstroke criticality scoring includes a patient profiling module for collecting patient information data and constructing patient information files based on the data. The patient profiling module includes: The basic information collection unit is used to collect basic information such as age, gender, height, and weight of individuals. The heatstroke critical care assessment unit is used to assess the severity of a patient's condition based on their vital signs and output the assessment results. The patient information storage unit is used to store the patient's medical records. The medical resource allocation module is used to allocate appropriate medical resources based on the severity of the patient's heatstroke. The medical resource allocation module includes: The treatment priority calculation unit is used to dynamically calculate the treatment priority of patients based on the severity of their heatstroke and the waiting time. ; The healthcare resource verification unit is used to obtain the current work status, location, and content of each doctor and nurse to determine whether healthcare resources are sufficient. It is understood that the healthcare resource verification unit can be in the form of, but is not limited to, an app, and can be accessed by doctors, nurses, and hospital management. Hospital management can assign work tasks to doctors or nurses through the verification unit, and once the doctor or nurse completes their task, they can provide feedback within the verification unit, thus enabling real-time monitoring of the work status of doctors and nurses. It is also understood that the healthcare resource verification unit has a location function to obtain the real-time location of doctors and nurses. The logic by which the medical resources verification unit determines whether medical resources are sufficient is as follows: The system obtains the number of available doctors and nurses, the number of heatstroke patients awaiting treatment, and the patients' heatstroke severity assessment results. Treatment is provided according to the following schedule: low-risk patients are treated with one ICU doctor and one nurse; medium-risk patients are treated with one senior ICU resident or attending physician and two nurses; and high-risk patients are treated with an ICU specialist team and three nurses. This calculation determines the required number of doctors and nurses for each patient awaiting treatment. The system then compares this number with the number of available doctors and nurses. If the number of available doctors and nurses exceeds the number required for each patient, the system outputs "Sufficient medical resources"; otherwise, it outputs "Insufficient medical resources."

[0023] The medical and nursing resource allocation decision-making unit is used to allocate doctors and nurses to treat and care for patients; The medical information storage unit is used to store the basic information and work records of each doctor and nurse.

[0024] Heatstroke is a life-threatening acute illness with a rapid onset and progression. Its treatment outcome highly depends on early and rapid cooling and multi-organ function support. Current hospital scheduling and medical staff allocation rely heavily on manual triage at the nurses' station or the experience-based judgment of the attending physician. When there are few patients with heatstroke, both manual triage by nurses and triage by attending physicians have sufficient medical resources to allocate, thus enabling patients with heatstroke to receive timely treatment. However, when multiple critically ill patients are admitted to the hospital at the same time and there is a shortage of professional medical staff, manual triage is prone to problems such as allocation delays and resource misallocation, which may delay the rescue of the most critically ill patients, thereby affecting the overall success rate of treatment and the efficiency of medical resource utilization. In the embodiments of the present invention, when multiple patients are admitted to the hospital at the same time due to heatstroke, the nurse first collects the patients' basic information and examines the patients according to the requirements of the heatstroke critical assessment unit to obtain the patients' heatstroke critical assessment results. At the same time, based on the patients' basic information, the nurse checks whether the patients have any previous medical records in the hospital. If so, the nurse checks whether the patients have any other underlying diseases in the past, so that appropriate care should be provided during nursing care. After the system obtains the above information, the patient profile is established. At this point, the medical resource verification unit checks the work status of each doctor and nurse to determine whether medical resources are sufficient. If sufficient, the medical resource allocation decision unit will arrange for medical staff to treat each patient individually. If there are not enough medical staff to handle multiple patients simultaneously, the treatment priority calculation unit will perform its work to calculate the treatment priority for each patient currently waiting for treatment. Therefore, treatment should be prioritized according to the patient's needs. Patients are prioritized, and the medical resource verification unit monitors the work status of each doctor and nurse in real time. If any doctor or nurse is idle, the medical resource allocation decision-making unit will allocate resources according to treatment priority. Based on the size of the patient, doctors and nurses were arranged to treat the patient in turn; This application verifies the working status of doctors and nurses through a medical and nursing resource verification unit, and calculates treatment priorities. This allows for the intelligent allocation of medical resources, equipment, and treatment priorities, avoiding the subjectivity and delays caused by traditional triage based on human experience.

[0025] Furthermore, the heatstroke critical scoring unit includes a heatstroke critical scoring form, an information input component, a timed detection and reminder component, and a comprehensive scoring component; The information entry component is designed for medical staff, providing a portal for them to enter patient vital sign data; it is understood that the information entry component can be provided to medical staff in the form of, but is not limited to, an app. The heatstroke critical care scoring system covers nine key patient vital signs and parameters, and provides an HSSS score based on these parameters; details are as follows: Table 1 Heatstroke Critical Score Sheet Performance verification: A retrospective cohort study was conducted, including 143 patients with heatstroke admitted between March 2022 and October 2024. Inclusion criteria: Adult patients with heatstroke meeting the diagnostic criteria of the "Chinese Expert Consensus on the Diagnosis and Treatment of Heatstroke," with the following medical history information: ① exposure to high temperature and humidity environments; ② high-intensity exercise. Clinical manifestations: ① central nervous system dysfunction (e.g., coma, convulsions, delirium, behavioral abnormalities); ② core temperature exceeding 40°C; ③ multi-organ (≥2) dysfunction (liver, kidneys, skeletal muscles, gastrointestinal tract, etc.); ④ severe coagulation dysfunction or DIC. A diagnosis of heatstroke was made when any one of the following medical history criteria plus any one of the following clinical manifestations could not be explained by other causes. Exclusion criteria: age <18 years; congenital coagulation disorders; chronic liver and kidney dysfunction; and incomplete data. A total of 143 patients were ultimately included in the analysis.

[0026] Clinical data of patients with heatstroke were retrospectively collected within 24 hours of admission, including basic information: age, sex, and core body temperature. Complete blood count (CBC): white blood cell count (WBC), red blood cell count (RBC), hemoglobin (HB), hematocrit (HCT), neutrophil count (NEU), lymphocyte count (LMY), and platelet count. Coagulation analysis: prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), fibrinogen (FIB), thrombin time (TT), fibrin degradation products (FDP), D-dimer, and antithrombin; thromboelastography (TEG) related indicators: coagulation reaction time (R), clot formation rate (K), maximum clot strength (MA), and coagulation index (CI). Biochemical indicators: alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (Tbil), albumin (ALB), creatinine (Cr), myoglobin (Myo), creatine kinase isoenzyme (CKMB), and lactate (Lac). Clinical scores: APACHE II score, SOFA score, and GCS score. Outcome indicator: in-hospital mortality.

[0027] Data analysis was performed using the R statistical software. Quantitative data were expressed as mean ± standard deviation or median (interquartile range) based on their distribution. Categorical data were expressed as a number (percentage) [n (%)].

[0028] Between-group comparisons: For normally distributed measurement data, one-way ANOVA was used for comparisons among three groups, with pairwise comparisons between groups using the LSD-t test or Bonferroni correction. For non-normally distributed measurement data, the Kruskal-Wallis H test was used for comparisons among three groups, with pairwise comparisons between groups using the Mann-Whitney U test and Bonferroni correction. Comparisons of categorical variables were performed using the chi-square test or Fisher's exact test.

[0029] Correlation analysis: Spearman rank correlation analysis was used to assess the correlation between HSSS scores and APACHE II scores. ROC analysis was used to assess the predictive power of HSSS scores for in-hospital mortality risk. The area under the curve (AUC) and its 95% confidence interval (CI) were calculated.

[0030] The optimal diagnostic cutoff value was determined, typically based on the principle of maximizing the Youden index, and the sensitivity and specificity at that cutoff value were calculated. The Kaplan-Meier method was used to calculate the cumulative survival rate for each group, and survival curves were plotted. Differences in survival between groups were compared using the Log-rank test. Univariate Cox regression analysis was used to analyze the impact of HSSS score on mortality risk. All statistical tests were two-tailed, and a p-value less than 0.05 was considered statistically significant.

[0031] This study included 110 patients (76.9%) with mild heatstroke, 23 patients (16.1%) with moderate heatstroke, and 10 patients (7.0%) with severe heatstroke. There were no statistically significant differences among the three groups in terms of age (P=0.140) and gender composition (P=0.879). Details are as follows: Table 2. Comparison of baseline data of patients with heatstroke Regarding prognosis, the mortality rate in the severe group was as high as 90.0% (9 / 10), significantly higher than that in the mild and moderate groups (the mortality rates in both groups were 0.0%, P<0.001). With increasing HSSS scores, patients' APACHE II scores, WBC, NEU, INR, D-dimer, blood lactate, ALT, AST, Tbil, and Cr levels progressively increased. Among these, APACHE II scores, WBC, NEU, D-dimer, and ALT showed significant differences among the three groups, with the moderate group showing significantly higher levels than the mild group, and the severe group showing significantly higher levels than both the moderate and mild groups (P<0.001). The severe group had significantly higher levels of INR, blood lactate, AST, Tbil, and Cr than the moderate and mild groups (P<0.001), but no significant difference between the mild and moderate groups (P>0.05).

[0032] Conversely, as the HSSS score increased, platelet count, plasma fibrinogen, albumin levels, and GCS score progressively decreased in heatstroke patients. Platelet count and GCS score showed significant differences among the three groups, with the moderate group showing significantly lower scores than the mild group, and the severe group showing significantly lower scores than both the moderate and mild groups (P<0.001). Plasma fibrinogen and albumin levels in the severe group were significantly lower than those in the moderate and mild groups (P<0.001), but there was no significant difference between the mild and moderate groups (P>0.05).

[0033] Furthermore, with the increase of HSSS score, the PT and APTT of patients with severe heatstroke were significantly prolonged (P<0.001), but there was no significant difference between the mild and moderate groups (P>0.05).

[0034] Therefore, compared with the mild group, P<0.05; compared with the moderate group, P<0.05.

[0035] APACHE II (Acute Physiology and Chronic Health Assessment System II) score; SOFA (Sequential Organ Failure) score; GCS (Glass Coma Scale); R (Reaction Time); K (Clot Formation Rate); MA (Maximum Clot Strength); CI (Comprehensive Coagulation Index); PT (Prothrombin Time); INR (International Normalized Ratio); APTT (Activated Partial Thromboplastin Time); FIB (Fibrinogen); TT (Thrombin Time).

[0036] like Figure 2 , Figure 3 , Figure 4As shown, further analysis of the distribution of organ damage in heatstroke patients revealed that combined damage from two systems was the most common pattern, with the highest incidence being the combination of core body temperature and renal system damage (29.4%), followed by combined damage to the central nervous system and respiratory system. The next most common pattern was combined damage from three systems (22.4%), with the highest incidence being combined damage to the central, circulatory, and respiratory systems, followed by core body temperature combined with damage to the central and respiratory systems. like Figure 5 As shown, the HSSS score, SOFA score, and APACHE II score were included in the ROC curve analysis, with areas under the curves of 0.998 (95% CI 0.992-1), 0.985 (95% CI 0.967-1), and 0.948 (95% CI 0.907-0.989), respectively (P < 0.0001). When the cut-off value of the HSSS score for predicting the prognosis of heatstroke patients was 20, the sensitivity was 100% and the specificity was 99.3%; when the cut-off value of the SOFA score was 12, the sensitivity was 92.3% and the specificity was 100%; when the cut-off value of the APACHE II score was 18, the sensitivity was 84.3% and the specificity was 100%. In conclusion, the Heatstroke Criticality Score (HSSS) can intuitively reflect the critical condition of a patient with heatstroke.

[0037] The timed detection and reminder component is designed for medical staff and sends them reminders to re-enter the patient's clinical data at regular intervals. Heatstroke often progresses rapidly, so it is necessary to re-detect the patient's vital signs data every period of time. The timed detection and reminder component records the detection time of the patient, so that medical staff can be reminded to re-detect the vital signs at regular intervals, avoiding the situation where the patient's condition deteriorates undetected due to the negligence of medical staff. The comprehensive assessment component is used to output an assessment result as low risk, intermediate risk, or high risk based on the score obtained from the heatstroke critical illness scoring scale. Specifically, if the patient's HSSS score is 0-10, the output assessment result is low risk; if the patient's HSSS score is 11-20, the output assessment result is intermediate risk; and if the patient's HSSS score is greater than 20, the output assessment result is high risk.

[0038] Furthermore, when the medical and nursing resource verification unit determines that medical and nursing resources are sufficient, the logic of the medical and nursing allocation decision-making unit in allocating doctors and nurses within the hospital is as follows: If the patient's heatstroke severity assessment is low risk, then based on the current status of each medical staff member, arrange for intensive care unit doctors and nurses to administer fluid replacement, cooling, and monitoring according to the standardized treatment plan, and reassess the HSSS score every 24 hours. If a patient's heatstroke is assessed as intermediate risk, then based on the current status of each medical staff member, a senior resident physician or attending physician in the intensive care unit will be assigned to lead the treatment, and the HSSS score will be reassessed every 12 hours. If a patient is assessed as high-risk for heatstroke, the ICU expert team will provide multidisciplinary collaborative treatment, monitor the patient's vital signs in real time, and reassess the HSSS score every 6 hours.

[0039] Furthermore, when the medical and nursing resource verification unit determines that medical and nursing resources are insufficient, the logic of the medical and nursing allocation decision-making unit in allocating doctors and nurses within the hospital is as follows: Obtain the patient's heatstroke severity assessment. If the assessment is low-risk, the treatment priority calculation unit will run to calculate the patient's treatment priority. Meanwhile, the system monitors the status of each medical staff member in real time through the medical staff resource verification unit. When a medical staff member is available, the system prioritizes their availability for treatment. The highest number of patients.

[0040] Furthermore, the aforementioned treatment priority The calculation method is as follows: in For the current HSSS score, Based on the previous HSSS score, For evaluation The time, For evaluation The time, The waiting time from the patient's admission to the present. and These are the weighting coefficients.

[0041] Understandable, The weighting coefficient for the increase in the patient's HSSS score. The weighting coefficient for patient waiting time. and You can choose the value according to your actual needs.

[0042] Furthermore, if a patient's heatstroke severity assessment categorizes them as medium or high risk, the healthcare resource verification unit automatically checks if there are currently ICU staff or senior physicians treating low-risk patients. If so, it sends an "emergency task allocation" alert to them and simultaneously filters for available physicians in other departments to assess their support capacity. According to the support coefficient The system automatically recommends replacements for doctors currently responsible for low-risk patients.

[0043] When there are patients at medium or high risk, their condition is often in a rapid progression phase and is very likely to worsen. At this time, it is necessary to treat them with highly specialized personnel specializing in heatstroke. If these doctors are still treating low-risk patients, medium- and high-risk patients will not receive effective treatment. Therefore, it is necessary to reallocate the tasks of these doctors to effectively reduce the mortality rate of critically ill patients.

[0044] Furthermore, the support coefficient The calculation method is as follows: in For professional relevance, This is the physical distance coefficient. , These are the weighting coefficients.

[0045] It should be noted that when importing personnel information from hospitals, it must be certified by a heatstroke specialist, and the professional relevance of each doctor to heatstroke should also be imported. For example, if Doctor A's main specialty is general surgery, but Doctor A also has knowledge of heatstroke, their expertise in general surgery can be assessed through certification by a heatstroke specialist. The coefficient value is 0.3; Physical distance coefficient This refers to the time cost for a doctor to travel from their current location to the heatstroke treatment area. The system uses a medical resource verification unit to obtain the doctor's current location, predicts the arrival time for each doctor, and ranks them according to time. The top 10% of doctors are assigned a physical distance coefficient. A physical distance coefficient of 1.0, ranking between 11% and 20%. The value is 0.9, and so on; , As a weighting factor, professional relevance is more important than distance, therefore... The value is set to 0.9. The value is 0.1; Thus, through professional relevance Physical distance coefficient This allows for the selection of suitable doctors for support, and the support coefficient can be used to determine which doctors are available. The system automatically sorts these patients, ensuring that even if they are not highly specialized in heatstroke, they are still adequately capable of caring for low-risk patients. This facilitates the coordination of medical resources, improves hospital operational efficiency, and avoids the waste of medical resources.

[0046] Furthermore, if the patient's heatstroke severity assessment is medium or high, and the medical resource verification unit does not currently have any senior doctors in the intensive care unit treating low-risk patients, then a signal indicating no available resources will be output. It also includes a medical plan suggestion module, which generates a survival index based on HSSS score and end-stage indicators when the medical resource allocation module has no resources available. This helps the medical team identify patients with extremely low survival probability and provide palliative care suggestions.

[0047] Understandably, when medical resources are extremely scarce, or when multiple patients with HSSS scores greater than 20 are waiting for treatment, the hospital's medical resources will inevitably be unable to meet the rescue needs simultaneously. In such cases, it is necessary to provide the medical team with a data-driven and transparent decision support tool to help identify patients with extremely low survival probabilities and for whom medical intervention may be ineffective. Using the embodiments of this invention, a patient survival index can be generated, and the patient survival index can be ranked to form a scale. The medical team can then make the difficult decision of whether to shift the treatment goal to palliative care based on the scale, thereby allocating valuable resources more fairly and effectively to patients with a higher chance of survival.

[0048] Furthermore, the survival index is calculated as follows: Furthermore, the aforementioned , The calculation method is as follows: .

[0049] The HSSS score weights reflect the static severity of the disease; the higher the score, the more points are deducted. Based on research data calibration, when the HSSS score is greater than or equal to 20, the mortality rate has reached 90%, so the coefficient A is set to 2.5. The weights of the end-stage indicators reflect the breadth and depth of multiple organ failure; the coefficient B represents the number of organ systems, including the nervous system, circulatory system, coagulation system, renal system, hepatic system and respiratory system, a total of 6 items, so the coefficient B is 6; the end-stage indicator count is the number of indicators when the extreme value is reached. Dynamic trend weights reflect the dynamic development direction of the disease, and the HSSS change trend is achieved through... This will yield the result; considering the timeliness of the data, the data timeliness is set to 2 hours. If the trend is based on changes in the past 2 hours, the time weight is 1; if it is based on changes in the past 4 hours, the time weight is 0.5; to emphasize the importance of the rate of deterioration, the value of coefficient C is set to 15. It is understandable that coefficients A, B, and C can be adjusted according to actual needs and circumstances.

[0050] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A medical resource allocation system based on heatstroke criticality scoring, characterized in that: It includes a patient profiling module, which is used to collect patient information data and build patient information profiles based on the data; The patient profiling module includes: The basic information collection unit is used to collect basic information such as age, gender, height, and weight of individuals. The heatstroke critical care assessment unit is used to assess the severity of a patient's condition based on their vital signs and output the assessment results. The patient information storage unit is used to store the patient's medical records. The medical resource allocation module is used to allocate appropriate medical resources based on the severity of the patient's heatstroke. The medical resource allocation module includes: The treatment priority calculation unit is used to dynamically calculate the treatment priority of patients based on the severity of their heatstroke and the waiting time. ; The medical and nursing resource verification unit is used to obtain the current working status, work location and work content of each doctor and nurse to determine whether medical and nursing resources are sufficient. The medical and nursing resource allocation decision-making unit is used to allocate doctors and nurses to treat and care for patients; The medical information storage unit is used to store the basic information and work records of each doctor and nurse.

2. The medical resource allocation system based on heatstroke criticality scoring according to claim 1, characterized in that: The heatstroke critical assessment unit includes a heatstroke critical assessment form, an information input component, a timed detection reminder component, and a comprehensive assessment component; The information entry component is designed for medical staff and provides a port for them to enter patients' vital signs data. The heatstroke severity scoring system covers nine key patient vital signs parameters and provides a heatstroke severity scoring system (HSSS) score based on the values ​​of these vital signs parameters. The timed detection and reminder component is designed for medical staff and sends them timed reminders to re-enter patient vital signs data. The comprehensive assessment component is used to output an assessment result of low risk, medium risk, or high risk based on the score obtained from the heatstroke critical illness scoring scale.

3. A medical resource allocation system based on heatstroke criticality scoring according to claim 2, characterized in that: When the medical and nursing resource verification unit determines that medical and nursing resources are sufficient, the logic of the medical and nursing allocation decision-making unit in allocating doctors and nurses within the hospital is as follows: If the patient's heatstroke severity assessment is low risk, then based on the current status of each medical staff member, arrange for intensive care unit doctors and nurses to administer fluid replacement, cooling, and monitoring according to the standardized treatment plan, and reassess the HSSS score every 24 hours. If a patient's heatstroke is assessed as intermediate risk, then based on the current status of each medical staff member, a senior resident physician or attending physician in the intensive care unit will be assigned to lead the treatment, and the HSSS score will be reassessed every 12 hours. If a patient is assessed as high-risk for heatstroke, the ICU expert team will provide multidisciplinary collaborative treatment, monitor the patient's vital signs in real time, and reassess the HSSS score every 6 hours.

4. A medical resource allocation system based on heatstroke criticality scoring according to claim 3, characterized in that: When the medical and nursing resource verification unit determines that medical and nursing resources are insufficient, the logic of the medical and nursing allocation decision-making unit in allocating doctors and nurses within the hospital is as follows: Obtain the patient's heatstroke severity assessment. If the assessment is low-risk, the treatment priority calculation unit will run to calculate the patient's treatment priority. Meanwhile, the system monitors the status of each medical staff member in real time through the medical staff resource verification unit. When a medical staff member is available, the system prioritizes their availability for treatment. The highest number of patients.

5. A medical resource allocation system based on heatstroke criticality scoring as described in claim 4, characterized in that: The priority of treatment The calculation method is as follows: in For the current HSSS score, Based on the previous HSSS score, For evaluation The time, For evaluation The time, The waiting time from the patient's admission to the present. and These are the weighting coefficients.

6. A medical resource allocation system based on heatstroke criticality scoring according to claim 5, characterized in that: If a patient's heatstroke severity assessment classifies them as intermediate or high risk, the healthcare resource verification unit automatically checks if there are currently ICU staff or senior physicians treating low-risk patients. If so, it sends an "emergency task allocation" alert to them and simultaneously filters for available physicians in other departments to determine their support capacity. According to the support coefficient The system automatically recommends replacements for doctors currently responsible for low-risk patients.

7. A medical resource allocation system based on heatstroke criticality scoring according to claim 6, characterized in that: The support coefficient The calculation method is as follows: in For professional relevance, This is the physical distance coefficient. , These are the weighting coefficients.

8. A medical resource allocation system based on heatstroke criticality scoring according to claim 7, characterized in that: If a patient's heatstroke severity assessment is medium or high, and the medical resource verification unit does not currently have an ICU or senior physician treating low-risk patients, then a signal indicating no available resources will be output. It also includes a medical plan suggestion module, which generates a survival index based on HSSS score and end-stage indicators when the medical resource allocation module has no resources available. This helps the medical team identify patients with extremely low survival probability and provide palliative care suggestions.

9. A medical resource allocation system based on heatstroke criticality scoring according to claim 8, characterized in that: The survival index is calculated as follows: 。 10. A medical resource allocation system based on heatstroke criticality scoring according to claim 9, characterized in that: The , The calculation method is as follows: 。

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