Method for health assessment and management of occupational population

Abstract

The invention relates to the technical field of occupational health management, and particularly discloses a method for health assessment and management of occupational crowds, which comprises the steps of S1, health management service planning, S2, health management service principles, S3, health management service crowd classification, S4, health management service modes and S5, health management service contents. S6, building a health management information system; and S7, evaluating and feeding back effects. Through health monitoring, early intervention and continuous management, occurrence and development of chronic diseases, cardiovascular diseases and diabetes mellitus are effectively prevented and delayed, the health level of the whole employees is improved, after a health management project is implemented, the health conditions of the employees are improved, the conditions of false illness and absence caused by the diseases are reduced, and the safety of the employees is improved. The system can be used for preventing and controlling diseases, particularly preventing and controlling chronic diseases, the frequency of absence due to diseases is remarkably reduced, and resource waste caused by excessive medical treatment, repeated physical examination and the like is reduced through precise health assessment and personalized intervention measures.

Description

Technical Field

[0001] The present invention belongs to the technical field of occupational health management, and in particular relates to a method for health assessment and management of occupational groups. Background Art

[0002] In the current field of occupational health management, although enterprises and employees are gradually aware of the importance of health maintenance, traditional health assessment and management methods still face many shortcomings and challenges. Existing technologies often focus on regular physical examinations or health questionnaires. Although these methods can provide certain health data, they have problems such as incomplete data collection, generalized assessment results, and lack of personalization and immediacy of intervention measures.

[0003] On the one hand, traditional health assessments mostly rely on static physical examination reports, which are difficult to capture the dynamic changes in employees' health status, and the assessment indicators are often relatively single, which makes it difficult to fully reflect the overall health status of employees. In addition, the interpretation and application of physical examination results are often limited by the limited medical resources and the shortage of professionals, resulting in the inability to effectively transform the assessment results into personalized health management recommendations.

[0004] On the other hand, existing intervention measures for identified health problems often lack pertinence and sustainability. Many companies only promote healthy lifestyles through simple health lectures or promotional materials, while ignoring the differences and specific needs of individual employees, resulting in poor intervention effects and low employee participation. At the same time, due to the lack of an effective tracking and feedback mechanism, the effectiveness of health management is difficult to continuously evaluate and improve.

[0005] In addition, existing technologies lack sufficient attention to employee mental health. With the increase of work pressure and the accelerated pace of life, employees' mental health problems are becoming increasingly prominent, but traditional health assessment and management methods often ignore this important aspect, resulting in employees not receiving timely and effective support and help in mental health.

[0006] In summary, the existing health assessment and management methods for occupational groups have obvious deficiencies in terms of the comprehensiveness of data collection, accuracy of assessment, personalization and continuity of intervention, and attention to mental health. Therefore, there is an urgent need for a systematic and personalized health assessment and management method to comprehensively improve the health level and quality of life of occupational groups.

[0007] In this regard, the inventor proposes a method for health assessment and management of occupational groups to solve the above problems. Summary of the invention

[0008] The purpose of the present invention is to provide a method for health assessment and management of occupational groups to solve the problems raised in the above background technology.

[0009] To achieve the above object, the present invention provides the following technical solutions:

[0010] A method for occupational health assessment and management, comprising the following steps:

[0011] S1. Health management service planning, including health management service goals, health management service plans, health management implementation paths and health management service contents. Formulate health management service plans, determine health management service goals, service plans and service contents, and formulate precise health management contents that meet the needs of occupational groups through personalized health management intervention technical means and health management implementation paths;

[0012] S2. Principles of health management services, including the principles of personalization, continuity, science, comprehensiveness and confidentiality, constitute the core of health management, helping people achieve the goal of physical and mental health and improve the quality of life;

[0013] S3. Classification of health management service population, including classification by health status and health risk, to improve the pertinence and effectiveness of intervention and improve the utilization rate of medical resources;

[0014] S4. Health management service methods, including remote health management and offline health management, remote health monitoring and consultation through the Internet and smart devices, providing personalized health management services, providing face-to-face health services, combining corporate needs, providing professional health management solutions, and ensuring the implementation of health services;

[0015] S5. Health management service content, including health records, health examinations, health assessments, lifestyle management, sub-health management, disease management, health knowledge management, dynamic tracking management, health information collection, health monitoring and health intervention;

[0016] S6. Construction of health management information system, including artificial intelligence, Internet of Things, Internet information and intelligent wearable devices;

[0017] S7. Effectiveness evaluation and feedback: Regularly evaluate the effectiveness of health management services, analyze the effects of health intervention measures, optimize health management plans based on the evaluation results, and ensure continuous improvement in the quality and effectiveness of health management services.

[0018] Preferably, the health risk assessment in step S1 is used to collect health data of occupational groups, including age, gender, physical examination data, past medical history, lifestyle, and risk factors in the work environment, and use a health risk prediction model to assess the health status of occupational groups and determine the classification of low-risk, medium-risk, high-risk, and extremely high-risk groups;

[0019] The health risk prediction model includes the Framingham cardiovascular risk score and metabolic syndrome risk assessment, where the Framingham cardiovascular risk score is expressed as:

[0020]

[0021] Used to predict the risk of developing coronary heart disease within 10 years based on age, sex, smoking, blood pressure, and cholesterol levels;

[0022] Among them, R 10 represents the 10-year risk probability of coronary heart disease, βi is the regression coefficient of each risk factor, xi is the value of the risk factor, and S0(t) is the baseline survival function;

[0023] Metabolic syndrome risk assessment is a risk factor for multiple chronic diseases, and is assessed through multiple indicators, including: Metabolic syndrome risk = BMI + hypertension + dysglycemia + triglycerides + low HDL cholesterol;

[0024] If each item exceeds the standard, 1 point is scored, and individuals with high comprehensive scores have a greater risk of metabolic syndrome;

[0025] The health management service objectives are used to formulate clear health management service objectives, including improving the overall health level of the occupational population, reducing the incidence of diseases, reducing medical costs, improving the self-care ability of employees, delaying the progression of chronic diseases, and reducing business operation risks;

[0026] The health management service plan is formulated according to the health assessment results of the occupational group, including the establishment of health records, health examinations, health monitoring, health guidance, and health intervention; a phased effect evaluation mechanism is set up to continuously track and adjust the effectiveness of health intervention measures.

[0027] Preferably, the personalized principle in step S2 is to formulate a management plan that meets the health needs of individuals or groups according to their characteristics;

[0028] The principle of continuity: health management runs through the entire life cycle and should be managed in a long-term, continuous and dynamic manner;

[0029] The principle of scientificity: all health management decisions and interventions must be based on reliable data analysis and evaluation results;

[0030] The principle of comprehensiveness: health management should include prevention, treatment, and rehabilitation services;

[0031] The principle of confidentiality ensures the privacy protection of all health information and avoids information leakage and abuse.

[0032] Preferably, the classification by health status in step S3 includes healthy people: no obvious health problems, but requiring preventive management;

[0033] Sub-healthy people: in a subclinical state, requiring lifestyle management and health guidance;

[0034] Disease population: those with chronic diseases or other health problems who need disease management and health intervention;

[0035] The above classification by health risk includes low-risk groups: maintaining a healthy state, undergoing routine physical examinations and preventive management;

[0036] Medium-risk group: facing certain health risks, requiring lifestyle intervention and health monitoring;

[0037] High-risk groups: those with higher health risks who require intensive health intervention and dynamic follow-up management;

[0038] Extremely high-risk groups: those who have significant health risks and require specialized medical management and disease prevention and control;

[0039] The intervention effect evaluation uses the relative risk reduction rate (RRR), absolute risk reduction rate (AAR) and average number of intervention persons (NNT) of the health intervention effect. The relative risk reduction rate is expressed as:

[0040]

[0041] The above indicators can quantify the effectiveness of interventions in reducing health risks;

[0042] The absolute risk reduction rate (AAR) is used to evaluate the direct effect of the intervention and is expressed as:

[0043] ARR = risk in control group - risk in intervention group

[0044] NNT represents the average number of people who need to be intervened to prevent one adverse health event, expressed as:

[0045]

[0046] The smaller the NNT, the more significant the effect of the intervention.

[0047] Preferably, the remote health management in step S4 performs remote health monitoring and consultation through the Internet and smart devices, provides personalized health management services, uses artificial intelligence technology to perform data analysis, predicts health risks and development trends, and adjusts management strategies;

[0048] The offline health management provides face-to-face health services, including regular physical examinations, health education and health intervention. Combined with the needs of the enterprise, it provides professional health management plans to ensure the implementation of health services.

[0049] Preferably, in step S5, health records: establish a health record for each employee and dynamically record health information;

[0050] Health check-up: Conduct regular health checks to ensure timely understanding of employees’ health status;

[0051] Health risk assessment: Analyze the health risks of occupational groups based on health data, including body mass index (BMI), body fat percentage calculation, and calorie consumption calculation;

[0052] Lifestyle management: providing personalized lifestyle intervention recommendations, including diet, exercise, and mental health;

[0053] Sub-health management: Targeted conditioning and intervention for sub-healthy people to prevent the development of diseases;

[0054] Disease management: Provide personalized management plans for employees who already suffer from chronic diseases to prevent their condition from worsening;

[0055] Health knowledge management: Improve employees' self-care awareness and ability through health education;

[0056] Dynamic tracking management: real-time tracking of health status changes and timely adjustment of management strategies;

[0057] Health information collection: Collecting personal health data provides a basis for subsequent health evaluation and intervention;

[0058] Health monitoring: Based on information collection, continuous observation and evaluation of personal health status is carried out. Through regular health examinations and risk assessments, potential health problems can be discovered in a timely manner and corresponding measures can be taken;

[0059] Health intervention: Develop personalized health intervention plans based on the results of health risk assessment.

[0060] Preferably, in step S6, the health management team forms a health management team composed of doctors, nutritionists and health managers, provides professional health services, uses modern medicine and information technology to collect, analyze and evaluate health data, and ensures the scientificity and accuracy of health management;

[0061] The personalized health management pathway is developed for occupational groups based on the results of health risk assessment, including regular health monitoring, intervention measures and evaluation and improvement plans.

[0062] Preferably, in step S7, artificial intelligence, Internet of Things, and Internet information include online expert consultation, psychological consultation, online health consultation services, remote health monitoring and early warning services, health education lecture services, digital health record construction services, intelligent health risk assessment services, and psychological crisis assistance services;

[0063] Data transmission and processing are carried out through intelligent wearable devices to ensure the timeliness and effectiveness of health management.

[0064] Preferably, the artificial intelligence technology performs data analysis including health score index, metabolic equivalent of physical activity and Z score in health monitoring;

[0065] The health score index HSI is usually a weighted combination of multiple health indicators, with weights set according to specific health goals, expressed as:

[0066] HSI=w1×BMI+w2×blood pressure+w3×cholesterol level+w4×blood sugar level+...

[0067] Among them, w1, w2, w3, and w4 are the weights of each indicator, which are determined through data analysis;

[0068] The metabolic equivalent of physical activity is MET, which is used to evaluate energy expenditure at different activity intensities and is expressed as:

[0069] Total energy expenditure during activity = MET value × activity time (hours) × body weight (kg)

[0070] MET values ​​for activities: 3-4 for walking, 7-10 for running, and 6-8 for cycling;

[0071] The Z score in the health monitoring is used to monitor the deviation of individual health indicators from the standard, and is expressed as:

[0072]

[0073] Among them, x is the measured value, μ is the mean, σ is the standard deviation, and the Z score is used to determine whether a health indicator deviates from the normal range.

[0074] Preferably, the medical resource utilization rate in step S3 is expressed as:

[0075]

[0076] Used to evaluate the effect of health management on corporate medical cost savings.

[0077] Compared with the prior art, the present invention has the following beneficial effects:

[0078] (1) The present invention effectively prevents and delays the occurrence and development of chronic diseases, cardiovascular diseases and diabetes through health monitoring, early intervention and continuous management, and improves the overall health level of employees. After the implementation of the health management project, the health status of employees has improved, and sick leave and absenteeism due to illness have been reduced. In particular, the prevention and control of chronic diseases has significantly reduced the frequency and number of days of absence due to illness.

[0079] (2) The present invention reduces the waste of resources caused by excessive medical treatment, repeated physical examinations, etc., and optimizes the use of medical resources through accurate health assessment and personalized intervention measures. By continuously monitoring the health status of employees and intervening, it reduces production interruptions and safety accidents caused by sudden health problems of employees, thereby reducing the operating risks of the enterprise. Through health education and guidance, employees learn how to manage their own health risks, adopt a healthier lifestyle, and reduce the uncertainty risks caused by health problems in the future.

[0080] (3) Through the implementation of the health management project, the present invention adjusts the lifestyle of employees. More people begin to exercise regularly, maintain healthy eating habits, and reduce unhealthy behaviors such as smoking and drinking. This not only contributes to the physical health of employees, but also improves their mental health and psychological state. Through data collection, analysis and health risk assessment, enterprises can provide employees with personalized health management plans and continuously optimize these plans to ensure that intervention measures are scientific and effective; the health management service system can dynamically track the health data of employees and adjust health intervention strategies in a timely manner to ensure continuous improvement of health management, making the health management service model more long-term, continuous and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 A flow chart of a method for health assessment and management of occupational groups according to the present invention;

[0082] Figure 2 A block diagram of the health management service planning composition of the present invention;

[0083] Figure 3 A block diagram of the health management service principle of the present invention;

[0084] Figure 4 A block diagram of the classification of the health management service population of the present invention;

[0085] Figure 5 It is a block diagram of the health management service mode of the present invention;

[0086] Figure 6 It is a block diagram of the health management service content of the present invention;

[0087] Figure 7This is a block diagram of the health management information system construction of the present invention. DETAILED DESCRIPTION

[0088] 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.

[0089] Embodiment 1:

[0090] See also Figures 1 to 7 As shown, a method for occupational health assessment and management comprises the following steps:

[0091] S1. Health management service planning, including health management service goals, health management service plans, health management implementation paths and health management service contents. Formulate health management service plans, determine health management service goals, service plans and service contents, and formulate precise health management contents that meet the needs of occupational groups through personalized health management intervention technical means and health management implementation paths;

[0092] S2. Principles of health management services, including the principles of personalization, continuity, science, comprehensiveness and confidentiality, constitute the core of health management, helping people achieve the goal of physical and mental health and improve the quality of life;

[0093] S3. Classification of health management service population, including classification by health status and health risk, to improve the pertinence and effectiveness of intervention and improve the utilization rate of medical resources;

[0094] S4. Health management service methods, including remote health management and offline health management, remote health monitoring and consultation through the Internet and smart devices, providing personalized health management services, providing face-to-face health services, combining corporate needs, providing professional health management solutions, and ensuring the implementation of health services;

[0095] S5. Health management service content, including health records, health examinations, health assessments, lifestyle management, sub-health management, disease management, health knowledge management, dynamic tracking management, health information collection, health monitoring and health intervention;

[0096] S6. Construction of health management information system, including artificial intelligence, Internet of Things, Internet information and intelligent wearable devices;

[0097] S7. Effectiveness evaluation and feedback: Regularly evaluate the effectiveness of health management services, analyze the effects of health intervention measures, optimize health management plans based on the evaluation results, and ensure continuous improvement in the quality and effectiveness of health management services.

[0098] As can be seen above, through health monitoring, early intervention and continuous management, the occurrence and development of chronic diseases, cardiovascular diseases and diabetes have been effectively prevented and delayed, and the overall health level of employees has been improved. After the implementation of the health management project, the health of employees has improved, and sick leave and absenteeism due to illness have been reduced. In particular, the prevention and control of chronic diseases has significantly reduced the frequency and number of days of absence due to illness.

[0099] Through accurate health assessments and personalized intervention measures, we have reduced waste of resources caused by excessive medical treatment, repeated physical examinations, etc., optimized the use of medical resources, and reduced production interruptions and safety accidents caused by sudden health problems of employees through continuous monitoring of employee health and intervention, thereby reducing business operating risks. Through health education and guidance, employees have learned how to manage their own health risks, adopted a healthier lifestyle, and reduced the risk of uncertainty caused by health problems in the future.

[0100] Embodiment 2:

[0101] refer to Figures 1 to 7 As shown, health risk assessment is used to collect health data of occupational groups, including age, gender, physical examination data, medical history, lifestyle, and risk factors in the work environment, and use health risk prediction models to assess the health status of occupational groups and determine the classification of low-risk, medium-risk, high-risk, and extremely high-risk groups;

[0102] The health risk prediction model includes the Framingham cardiovascular risk score and metabolic syndrome risk assessment, where the Framingham cardiovascular risk score is expressed as:

[0103]

[0104] Used to predict the risk of developing coronary heart disease within 10 years based on age, sex, smoking, blood pressure, and cholesterol levels;

[0105] Among them, R 10 represents the 10-year risk probability of coronary heart disease, βi is the regression coefficient of each risk factor, xi is the value of the risk factor, and S0(t) is the baseline survival function;

[0106] Metabolic syndrome risk assessment is a risk factor for multiple chronic diseases, and is assessed through multiple indicators, including: Metabolic syndrome risk = BMI + hypertension + dysglycemia + triglycerides + low HDL cholesterol;

[0107] If each item exceeds the standard, 1 point is scored, and individuals with high comprehensive scores have a greater risk of metabolic syndrome;

[0108] Health management service objectives are used to formulate clear health management service objectives, including improving the overall health level of occupational groups, reducing the incidence of diseases, reducing medical costs, improving employees' self-care ability, delaying the progression of chronic diseases, and reducing corporate operating risks;

[0109] The health management service plan is formulated according to the health assessment results of occupational groups, including the establishment of health records, health examinations, health monitoring, health guidance, and health intervention; a phased effect evaluation mechanism is established to continuously track and adjust the effectiveness of health intervention measures.

[0110] Specific and personalized principles, formulate management plans that meet their health needs according to the characteristics of individuals or groups;

[0111] The principle of continuity: health management runs through the entire life cycle and should be managed in a long-term, continuous and dynamic manner;

[0112] The principle of scientificity: all health management decisions and interventions must be based on reliable data analysis and evaluation results;

[0113] The principle of comprehensiveness: health management should include prevention, treatment, and rehabilitation services;

[0114] The principle of confidentiality ensures the privacy protection of all health information and avoids information leakage and abuse.

[0115] Specifically, the classification by health status includes healthy people: those with no obvious health problems but in need of preventive management;

[0116] Sub-healthy people: in a subclinical state, requiring lifestyle management and health guidance;

[0117] Disease population: those with chronic diseases or other health problems who need disease management and health intervention;

[0118] The classification by health risk includes low-risk groups: maintaining a healthy state, undergoing routine physical examinations and preventive management;

[0119] Medium-risk group: facing certain health risks, requiring lifestyle intervention and health monitoring;

[0120] High-risk groups: those with higher health risks who require intensive health intervention and dynamic follow-up management;

[0121] Extremely high-risk groups: those who have significant health risks and require specialized medical management and disease prevention and control;

[0122] The intervention effect evaluation uses the relative risk reduction rate (RRR), absolute risk reduction rate (AAR) and average number of intervention persons (NNT) of the health intervention effect. The relative risk reduction rate is expressed as:

[0123]

[0124] The above indicators can quantify the effectiveness of interventions in reducing health risks;

[0125] The absolute risk reduction rate (AAR) is used to evaluate the direct effect of the intervention and is expressed as:

[0126] ARR = risk in control group - risk in intervention group

[0127] NNT represents the average number of people who need to be intervened to prevent one adverse health event, expressed as:

[0128]

[0129] The smaller the NNT, the more significant the effect of the intervention.

[0130] Specifically, remote health management uses the Internet and smart devices to conduct remote health monitoring and consultation, provide personalized health management services, use artificial intelligence technology to analyze data, predict health risks and development trends, and adjust management strategies;

[0131] Offline health management provides face-to-face health services, including regular physical examinations, health education and health intervention. Combined with corporate needs, it provides professional health management plans to ensure the implementation of health services.

[0132] Specifically, health records: establish a health record for each employee and dynamically record health information;

[0133] Health check-up: Conduct regular health checks to ensure timely understanding of employees’ health status;

[0134] Health risk assessment: Analyze the health risks of occupational groups based on health data, including body mass index (BMI), body fat percentage calculation, and calorie consumption calculation;

[0135] Lifestyle management: providing personalized lifestyle intervention recommendations, including diet, exercise, and mental health;

[0136] Sub-health management: Targeted conditioning and intervention for sub-healthy people to prevent the development of diseases;

[0137] Disease management: Provide personalized management plans for employees who already suffer from chronic diseases to prevent their condition from worsening;

[0138] Health knowledge management: Improve employees' self-care awareness and ability through health education;

[0139] Dynamic tracking management: real-time tracking of health status changes and timely adjustment of management strategies;

[0140] Health information collection: Collecting personal health data provides a basis for subsequent health evaluation and intervention;

[0141] Health monitoring: Based on information collection, continuous observation and evaluation of personal health status is carried out. Through regular health examinations and risk assessments, potential health problems can be discovered in a timely manner and corresponding measures can be taken;

[0142] Health intervention: Develop personalized health intervention plans based on the results of health risk assessment.

[0143] Specifically, artificial intelligence, the Internet of Things, and Internet information include online expert consultation, psychological counseling, online health consultation services, remote health monitoring and early warning services, health education lecture services, digital health record construction services, intelligent health risk assessment services, and psychological crisis assistance services;

[0144] Data transmission and processing are carried out through intelligent wearable devices to ensure the timeliness and effectiveness of health management.

[0145] Specifically, AI technology is used to analyze data including health score index, metabolic equivalent of physical activity, and Z-score in health monitoring;

[0146] Health score index HS I, health score is usually a weighted combination of multiple health indicators, with weights set according to specific health goals, expressed as:

[0147] HSI=w1×BMI+w2×blood pressure+w3×cholesterol level+w4×blood sugar level+...

[0148] Among them, w1, w2, w3, and w4 are the weights of each indicator, which are determined through data analysis;

[0149] The metabolic equivalent of physical activity (MET) is used to assess energy expenditure at different activity intensities and is expressed as:

[0150] Total energy expenditure during activity = MET value × activity time (hours) × body weight (kg)

[0151] MET values ​​for activities: 3-4 for walking, 7-10 for running, and 6-8 for cycling;

[0152] The Z score in health monitoring is used to monitor the deviation of individual health indicators from the standard and is expressed as:

[0153]

[0154] Among them, x is the measured value, μ is the mean, σ is the standard deviation, and the Z score is used to determine whether a health indicator deviates from the normal range.

[0155] Specifically, the medical resource utilization rate in step S3 is expressed as:

[0156]

[0157] Used to evaluate the effect of health management on corporate medical cost savings.

[0158] As can be seen above, through the implementation of health management projects, employees' lifestyles have been adjusted. More people have started to exercise regularly, maintain healthy eating habits, and reduce unhealthy behaviors such as smoking and drinking. This not only helps employees' physical health, but also improves their mental health and psychological state. Through data collection, analysis and health risk assessment, companies can provide employees with personalized health management plans and continuously optimize these plans to ensure that intervention measures are scientific and effective.

[0159] By dynamically tracking employees' health data, the health management service system can adjust health intervention strategies in a timely manner, ensure continuous improvement of health management, and make the health management service model more long-term, continuous and efficient.

[0160] Embodiment three:

[0161] The following is a set of specific applications based on occupational health assessment and management. A company implements a health management program for its employees, including health risk assessment, health intervention, and effect evaluation.

[0162] 1. Background

[0163] Company size: 500 employees.

[0164] Project goal: To improve employees' health, reduce the risk of chronic diseases, and increase productivity through health management services.

[0165] Intervention measures: Regular health examinations, health education, personalized exercise plans, dietary modification advice and psychological counseling.

[0166] Duration: 1 year.

[0167] 2. Preliminary health risk assessment

[0168] Data Collection:

[0169] Age: The average age of employees is 35.

[0170] Gender: 70% male, 30% female.

[0171] Historical physical examination data: Preliminary physical examination results include BMI, blood pressure, blood sugar, and cholesterol data.

[0172] Preliminary data on health risk factors:

[0173]

[0174] BMI calculation:

[0175] The BMI data for each employee is as follows:

[0176] Average height: 1.75 meters

[0177] Average weight: 78 kg

[0178] By BMI formula:

[0179]

[0180] BMI==78 / 1.75 2 =25.5

[0181] That is, about 30% of employees are in the overweight or obese range (BMI>25), and intervention measures are needed.

[0182] Framingham Cardiovascular Risk Score:

[0183] The risk of coronary heart disease within 10 years is calculated using a cardiovascular disease risk model, such as the Framingham cardiovascular risk score. The following data is used to assess the cardiovascular risk of a 40-year-old male employee:

[0184] Systolic blood pressure: 140 mmHg (without taking antihypertensive drugs)

[0185] Total cholesterol: 220 mg / dL

[0186] HDL cholesterol: 40 mg / dL

[0187] Smoking: Yes

[0188] Diabetes: No

[0189] Using the Framingham risk scoring formula, it is determined that their risk of coronary heart disease within 10 years is 20%. These high-risk employees will be included in key health management programs.

[0190] 3. Health interventions

[0191] Personalized intervention plan:

[0192] Based on the results of the previous assessment, the following intervention measures were implemented for employees with overweight, high blood pressure and high cholesterol:

[0193] Overweight employees: Implement exercise and diet management plans. According to the calorie consumption formula, it is recommended that employees consume 500 kcal per day through exercise (equivalent to about 1 hour of moderate intensity exercise, MET is 6).

[0194] If an employee weighs 85 kg and runs for one hour every day, the energy consumed is:

[0195] Energy consumption = 6 × 1 × 85 = 510 kcal

[0196] Through diet adjustment and exercise, the expected weight loss is 0.5 kg per week.

[0197] Employees with hypertension: A low-salt diet, stress management, and aerobic exercise are recommended.

[0198] Employees with high cholesterol: It is recommended to reduce saturated fat intake and increase the intake of foods with beneficial cholesterol, such as fish oil.

[0199] Lifestyle Management:

[0200] Health Education: Provide health knowledge training to all employees, including diet, exercise and mental health.

[0201] Psychological counseling: Provide psychological counseling services to employees under high pressure to reduce the negative impact of occupational stress on physical health.

[0202] 4. Evaluation of intervention effects

[0203] BMI change assessment:

[0204] After 6 months of intervention, the health effect was evaluated. The 150 employees who participated in the weight loss program lost an average of 5 kg.

[0205] BMI changes are as follows:

[0206] Average BMI before intervention: 28

[0207] Mean BMI after intervention: 26.2

[0208] Calculate the effect of BMI reduction:

[0209] ΔBM I=28-26.2=1.8

[0210] The BMI decreased by 1.8 units, indicating that the intervention was effective.

[0211] Assessment of changes in blood pressure and cholesterol:

[0212] Evaluate employees with high blood pressure and high cholesterol:

[0213] Blood pressure: The average systolic blood pressure of 150 hypertensive employees was 140 mmHg before the intervention and 130 mmHg after the intervention, a decrease of 7%.

[0214] Cholesterol: After the intervention, cholesterol levels decreased by an average of 15 mg / dL.

[0215] Relative risk reduction rate (RRR) of the intervention effect

[0216] The relative risk reduction was evaluated by intervention in high-risk employees (20% cardiovascular disease risk). The incidence of cardiovascular disease in the intervention group decreased from 20% to 15%:

[0217] RRR=(20%-15%) / 20%×100%=25%

[0218] The relative risk was reduced by 25%, indicating that the intervention measures were significantly effective in preventing the occurrence of cardiovascular disease.

[0219] The absolute risk reduction rate (ARR) is:

[0220] ARR = 20% - 15% = 5%

[0221] This means that the intervention resulted in an absolute reduction of 5% in the risk of cardiovascular events.

[0222] Number Needed to Treat(NNT)

[0223] Number of employees who need to be intervened to prevent 1 cardiovascular event:

[0224] NNT=1 / ARR=1 / 0.05=20

[0225] That is, for every 20 employees intervened, one cardiovascular event can be prevented.

[0226] 5. Cost-Benefit Analysis

[0227] Medical cost savings:

[0228] The annual medical expenses before the intervention were 2,000 yuan per person, and after the intervention they were reduced by 10%, or 1,800 yuan:

[0229] Cost saving rate = (2000-1800) / 2000×100%=10%

[0230] The health management program helped the company save 10% of medical expenses.

[0231] This health management program reduces employees' health risks, especially the risk of cardiovascular disease, through assessment and intervention of BMI, blood pressure, and cholesterol. The results after the intervention show that employees' health has improved and the company has therefore reduced medical costs.

[0232] From the above, we can see that through the implementation of this set of health assessment and management methods, the company has not only effectively improved the health of employees, reduced medical and operating costs, improved employee happiness and quality of life, but also further enhanced the company's social responsibility and competitiveness. This systematic and personalized health management method provides more accurate and effective health services for professional people and promotes a win-win situation for enterprises and employees.

[0233] 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 may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for health assessment and management of occupational groups, characterized in that: The following steps are involved: S1. Health management service planning, including health management service goals, health management service plans, health management implementation paths and health management service contents. Formulate health management service plans, determine health management service goals, service plans and service contents, and formulate precise health management contents that meet the needs of occupational groups through personalized health management intervention technical means and health management implementation paths; S2. Principles of health management services, including the principles of personalization, continuity, science, comprehensiveness and confidentiality, constitute the core of health management, helping people achieve the goal of physical and mental health and improve the quality of life; S3. Classification of health management service population, including classification by health status and by health risk, to improve the pertinence and effectiveness of intervention and improve the utilization rate of medical resources; S4. Health management service methods, including remote health management and offline health management, remote health monitoring and consultation through the Internet and smart devices, providing personalized health management services, providing face-to-face health services, combining corporate needs, providing professional health management solutions, and ensuring the implementation of health services; S5. Health management service content, including health records, health examinations, health assessments, lifestyle management, sub-health management, disease management, health knowledge management, dynamic tracking management, health information collection, health monitoring and health intervention; S6. Construction of health management information system, including artificial intelligence, Internet of Things, Internet information and intelligent wearable devices; S7. Effectiveness evaluation and feedback: Regularly evaluate the effectiveness of health management services, analyze the effects of health intervention measures, optimize health management plans based on the evaluation results, and ensure continuous improvement in the quality and effectiveness of health management services.

2. A method for health assessment and management of occupational groups according to claim 1, characterized in that: The health risk assessment in step S1 is used to collect health data of occupational groups, including age, gender, physical examination data, past medical history, lifestyle, and risk factors in the work environment, and use a health risk prediction model to assess the health status of occupational groups and determine the classification of low-risk, medium-risk, high-risk, and extremely high-risk groups; The health risk prediction model includes the Framingham cardiovascular risk score and metabolic syndrome risk assessment, where the Framingham cardiovascular risk score is expressed as: Used to predict the risk of developing coronary heart disease within 10 years based on age, sex, smoking, blood pressure, and cholesterol levels; Among them, R 10 represents the 10-year risk probability of coronary heart disease, βi is the regression coefficient of each risk factor, xi is the value of the risk factor, and S0(t) is the baseline survival function; Metabolic syndrome risk assessment is a risk factor for multiple chronic diseases, and is assessed through multiple indicators, including: Metabolic syndrome risk = BMI + hypertension + abnormal blood sugar + triglycerides + low HDL cholesterol; If each item exceeds the standard, 1 point is scored, and individuals with high comprehensive scores have a greater risk of metabolic syndrome; The health management service objectives are used to formulate clear health management service objectives, including improving the overall health level of the occupational population, reducing the incidence of diseases, reducing medical costs, improving the self-care ability of employees, delaying the progression of chronic diseases, and reducing business operation risks; The health management service plan is formulated according to the health assessment results of the occupational group, including the establishment of health records, health examinations, health monitoring, health guidance, and health intervention; a phased effect evaluation mechanism is set up to continuously track and adjust the effectiveness of health intervention measures.

3. A method for health assessment and management of occupational groups according to claim 1, characterized in that: The personalized principle described in step S2 is to formulate a management plan that meets the health needs of individuals or groups based on their characteristics; The principle of continuity: health management runs through the entire life cycle, maintaining long-term, continuous and dynamic management; The principle of scientificity: all health management decisions and interventions must be based on reliable data analysis and evaluation results; Comprehensive principle: health management includes prevention, treatment, and rehabilitation services; The principle of confidentiality ensures the privacy protection of all health information and avoids information leakage and abuse.

4. A method for occupational health assessment and management according to claim 1, characterized in that: The classification by health status in step S3 includes healthy people: no obvious health problems, but requiring preventive management; Sub-healthy people: in a subclinical state, requiring lifestyle management and health guidance; Disease population: those with chronic diseases or other health problems who need disease management and health intervention; The above classification by health risk includes low-risk groups: maintaining a healthy state, undergoing routine physical examinations and preventive management; Medium-risk group: facing certain health risks, requiring lifestyle intervention and health monitoring; High-risk groups: those with higher health risks who require intensive health intervention and dynamic follow-up management; Extremely high-risk groups: those who have significant health risks and require specialized medical management and disease prevention and control; The intervention effect evaluation uses the relative risk reduction rate (RRR), absolute risk reduction rate (AAR) and average number of intervention persons (NNT) of the health intervention effect. The relative risk reduction rate is expressed as: The above indicators can quantify the effectiveness of interventions in reducing health risks; The absolute risk reduction rate (AAR) is used to evaluate the direct effect of the intervention and is expressed as: ARR = risk in control group - risk in intervention group NNT represents the average number of people who need to be intervened to prevent one adverse health event, expressed as: The smaller the NNT, the more significant the effect of the intervention.

5. A method for health assessment and management of occupational groups according to claim 1, characterized in that: The remote health management described in step S4 performs remote health monitoring and consultation through the Internet and smart devices, provides personalized health management services, uses artificial intelligence technology to perform data analysis, predicts health risks and development trends, and adjusts management strategies; The offline health management provides face-to-face health services, including regular physical examinations, health education and health intervention. Combined with the needs of the enterprise, it provides professional health management plans to ensure the implementation of health services.

6. A method for occupational health assessment and management according to claim 1, characterized in that: Health records in step S5: establish a health record for each employee and dynamically record health information; Health check-up: Conduct regular health checks to ensure timely understanding of employees’ health status; Health risk assessment: Analyze the health risks of occupational groups based on health data, including body mass index (BMI), body fat percentage calculation, and calorie consumption calculation; Lifestyle management: providing personalized lifestyle intervention recommendations, including diet, exercise, and mental health; Sub-health management: Targeted conditioning and intervention for sub-healthy people to prevent the development of diseases; Disease management: Provide personalized management plans for employees who already suffer from chronic diseases to prevent their condition from worsening; Health knowledge management: Improve employees' self-care awareness and ability through health education; Dynamic tracking management: real-time tracking of health status changes and timely adjustment of management strategies; Health information collection: Collecting personal health data provides a basis for subsequent health evaluation and intervention; Health monitoring: Based on information collection, continuous observation and evaluation of personal health status is carried out. Through regular health examinations and risk assessments, potential health problems can be discovered in a timely manner and corresponding measures can be taken; Health intervention: Develop personalized health intervention plans based on the results of health risk assessment.

7. A method for health assessment and management of occupational groups according to claim 1, characterized in that: In step S6, the health management team is formed by doctors, nutritionists and health managers to provide professional health services, use modern medicine and information technology to collect, analyze and evaluate health data, and ensure the scientificity and accuracy of health management; The personalized health management pathway is developed for occupational groups based on the results of health risk assessment, including regular health monitoring, intervention measures and evaluation and improvement plans.

8. A method for occupational health assessment and management according to claim 1, characterized in that: In step S7, artificial intelligence, Internet of Things, and Internet information include online expert consultation, psychological consultation, online health consultation services, remote health monitoring and early warning services, health education lecture services, digital health record construction services, intelligent health risk assessment services, and psychological crisis assistance services; Data transmission and processing are carried out through intelligent wearable devices to ensure the timeliness and effectiveness of health management.

9. A method for occupational health assessment and management according to claim 5, characterized in that: Artificial intelligence technology for data analysis including health score index, metabolic equivalent of physical activity and Z-score in health monitoring; The health score index HSI is usually a weighted combination of multiple health indicators, with weights set according to specific health goals, expressed as: HSI=w1×BMI+w2×blood pressure+w3×cholesterol level+w4×blood sugar level+... Among them, w1, w2, w3, and w4 are the weights of each indicator, which are determined through data analysis; The metabolic equivalent of physical activity is MET, which is used to evaluate energy expenditure at different activity intensities and is expressed as: Total energy expenditure during activity = MET value × activity time (hours) × body weight (kg) MET values ​​for activities: 3-4 for walking, 7-10 for running, and 6-8 for cycling; The Z score in the health monitoring is used to monitor the deviation of individual health indicators from the standard, and is expressed as: Among them, x is the measured value, μ is the mean, σ is the standard deviation, and the Z score is used to determine whether a health indicator deviates from the normal range.

10. A method for occupational health assessment and management according to claim 1, characterized in that: The utilization rate of medical resources in step S3 is expressed as: Used to evaluate the effect of health management on corporate medical cost savings.

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