TWI764478B - Health risk grading apparatus, system and method thereof - Google Patents

Abstract

The present invention provides a health risk grading apparatus, system and method thereof, and the health risk grading system including a health management equipment and a database, in which the health management equipment obtains the target object's a health examination data, a psychological evaluation data and an environmental evaluation data from the database based on the information of a target object. In this ways, the health management equipment calculates the target object's a physical risk level value, a psychological risk level value and an environmental risk level value. And the health management equipment uses the target object's the physical risk level value, the psychological risk level value and the environmental risk level value to calculate a health risk level value, and the health management equipment quickly and accurately provide medical personnel with a reference for evaluating an employees’ health risks.

Description

Health risk grading apparatus, system and method

The present invention relates to risk grading technology, in particular to a health risk grading device, system and method.

In today's society, fast lifestyles and high-intensity work pressures have caused considerable physical and psychological health risks to people.

However, today's assessment of employees' occupational health risks is usually single-minded and cannot accurately assess the physical, psychological or environmental health risks suffered by employees. In addition, when assessing the health risks of employees, medical personnel need to first collect the physiological, psychological or environmental related information filled in or tested by each employee, and then spend a lot of time on manual work to further analyze the work situation and physical and mental state of each employee. Therefore, such an operation mode will cause a considerable workload of medical personnel. At the same time, medical personnel will not be able to timely and effectively judge the health risks of each employee.

Therefore, how to overcome the traditional difficulties in assessing the health risks of employees, so as to quickly and accurately provide a reference for medical personnel to assess the health risks of employees, has become an important topic for those skilled in the art.

In order to solve the above problems, the present invention provides a health risk grading system, which includes: a database, which is used to store the health examination data, psychological evaluation data and environmental evaluation data of a plurality of target objects; and health management equipment, which is connected to the data by communication A database for selecting the information of one of the plurality of target objects from the database, and obtaining the health examination data, psychological data of one of the plurality of target objects from the database according to the information of the one of the plurality of target objects Evaluation data and environmental evaluation data, wherein the health management device uses the health examination data, psychological evaluation data and environmental evaluation data of one of the plurality of target objects to calculate the physical risk level value and psychological risk of one of the plurality of target objects A level value and an environmental risk level value, so as to use the physical risk level value, the psychological risk level value and the environmental risk level value of one of the plurality of target objects to calculate a health risk level value, and then use the health risk level value as the complex number The basis for the health assessment of one of the target subjects.

The present invention also provides a health risk grading method, comprising: selecting, by a health management device, information of one of a plurality of target objects from a database; The database obtains the health examination data, psychological assessment data and environmental assessment data of one of the plurality of target objects; and the health management equipment uses the health examination data, psychological assessment data and environmental assessment data of the plurality of target objects to calculate The physical risk level value, psychological risk level value and environmental risk level value of one of the plurality of target objects are obtained, and then the health management device uses the physical risk level value, psychological risk level value and environmental risk level value of one of the plurality of target objects The risk level value calculates a health risk level value, and then uses the health risk level value as a basis for health assessment of one of the plurality of target objects.

In one embodiment, the health management device includes a physical risk assessment module, which is used for converting the test value of the health check data of one of the plurality of target objects into a grade value of the health check data, and according to the plurality of target objects The level value of the health check data of one of the target objects uses a physical risk grading algorithm to calculate a physical risk score, so that the physical risk grading algorithm calculates the physical risk level value according to the physical risk score.

In one embodiment, the health management device includes a psychological risk assessment module, which is used for converting the assessment value of the psychological assessment data of one of the plurality of target objects into a grade value of the psychological assessment data, and according to the plurality of target objects. A psychological risk score is calculated by using a psychological risk grading algorithm for the grade value of the psychological assessment data of one of the target objects, so that the psychological risk grade value is calculated by the psychological risk grading algorithm according to the psychological risk score.

In one embodiment, the health management device includes an environmental risk assessment module, which is used for converting the assessment value of the environmental assessment data of one of the plurality of target objects into a grade value of the environmental assessment data, and according to the plurality of target objects. An environmental risk score is calculated using an environmental risk grading algorithm for the grade value of the environmental assessment data of one of the target objects, so that the environmental risk grade value is calculated by the environmental risk grading algorithm according to the environmental risk score.

In one embodiment, the health management device includes a health risk grading module, which is used to calculate the physical risk level value, the psychological risk level value and the environmental risk level value of one of the plurality of target objects using a health risk grading calculation A health risk score is calculated by the method, so that the health risk grade value is calculated by the health risk classification algorithm according to the health risk score.

In one embodiment, the database includes a personnel data storage module, a health check data storage module and an environmental data storage module, wherein the personnel data storage module stores the plurality of The personal data of the target object, the health check data storage module stores health check data or psychological evaluation data of a plurality of target objects, and the environment data storage module stores environmental evaluation data.

The present invention further provides a health risk grading device, which includes: a health management module for selecting information of one of a plurality of target objects from a database, so as to report to the data according to the information of one of the plurality of target objects The database obtains the health examination data, psychological assessment data and environmental assessment data of one of the plurality of target objects; and a calculation module for calculating the health check data, psychological assessment data and environmental assessment data of the one of the plurality of target objects Calculate the physical risk level value, psychological risk level value and environmental risk level value of one of the plurality of target objects, and use the physical risk level value, psychological risk level value and environmental risk level value of one of the plurality of target objects to calculate a health risk level value, and then the health risk level value is used as the basis for the health assessment of one of the plurality of target objects.

As can be seen from the above, the health risk grading device, system and method of the present invention are based on the health examination data, psychological assessment data and environmental assessment data of the target object to be cared for, respectively, through the physical risk grading algorithm, the psychological risk grading algorithm and the The environmental risk grading algorithm calculates the physical risk level value, the psychological risk level value and the environmental risk level value, whereby the present invention can quickly and accurately calculate the physical risk level value, the psychological risk level value and the environmental risk level value of the target object. The health risk level value is calculated through the health risk classification algorithm, and then the health risk level value of the target object is provided to the user (such as a medical staff).

In this regard, users (such as medical staff) can quickly and accurately take the initiative to intervene in care and provide appropriate health guidance for employees with high health risk levels (that is, target objects), which greatly improves the efficiency of workplace health management. Furthermore, the present invention uses a physical risk grading algorithm, a psychological risk grading algorithm, an environmental risk grading algorithm and a health risk grading algorithm to classify the target object into a large Quantitative physiological, psychological and environmental data are calculated to accurately evaluate the health risk level value of the target object, thereby improving the accuracy of users (such as medical staff) in evaluating the target object.

1: Health Risk Grading System

10: Health management equipment

101: Physical Risk Assessment Module

102: Psychological Risk Assessment Module

103: Environmental Risk Assessment Module

104: Health Risk Classification Module

105: Health Management Module

106: Computing Modules

20:Database

201: Personnel data storage module

202: Health check data storage module

203: Environment data storage module

S21~S25, S31~S35: Steps

S41~S45, S51~S55: Steps

FIG. 1 is a schematic diagram of the structure of the health risk classification system of the present invention;

FIG. 2 is a schematic flowchart of the health risk classification method of the present invention;

3 is a schematic flowchart of the execution method of the physical risk assessment module of the present invention;

FIG. 4 is a schematic flowchart of the execution method of the psychological risk assessment module of the present invention; and

FIG. 5 is a schematic flowchart of the execution method of the environmental risk assessment module of the present invention.

The following specific embodiments are used to illustrate the implementation of the present invention, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification.

It should be noted that the structures, proportions, sizes, etc. shown in the drawings in this specification are only used to cooperate with the contents disclosed in the specification for the understanding and reading of those who are familiar with the art, and are not intended to limit the implementation of the present invention. Therefore, it has no technical significance. Any modification of the structure, change of the proportional relationship or adjustment of the size should still fall within the scope of the present invention without affecting the effect and the purpose that the present invention can achieve. The technical content disclosed by the invention must be able to cover within the range. At the same time, terms such as "a", "first", "second", "upper" and "lower" quoted in this specification are only for the convenience of description and are not used to limit the scope of the present invention. The scope of implementation and the change or adjustment of its relative relationship shall be regarded as the scope of implementation of the present invention without substantially changing the technical content.

FIG. 1 is a schematic diagram of the structure of the health risk classification system of the present invention. As shown in FIG. 1, the health risk classification system 1 includes: a health management device 10 and a database 20, wherein the health management device 10 has a physical risk assessment module 101, a psychological risk assessment module 102, a The environmental risk assessment module 103 and a health risk classification module 104 and the database 20 have a personnel data storage module 201 , a health check data storage module 202 and an environmental data storage module 203 . In one embodiment, the health risk classification system 1 is established in a server (such as a general server, a file server, a storage unit server, etc.) or an electronic device with other suitable computing mechanism. In another embodiment, the health management device 10 further includes: a health management module 105 and a computing module 106, wherein the health management module 105 is used to select the information of one of the target objects from the database, According to the information of one of the target objects, the health examination data, psychological evaluation data and environmental evaluation data of the one of the target objects are obtained from the database, and the computing module 106 is used for using the information of the one of the target objects. Health examination data, psychological assessment data and environmental assessment data are used to calculate the physical risk level value, psychological risk level value and environmental risk level value of one of the target objects, and then use the physical risk level value, psychological risk level value of one of the target objects A health risk level value is calculated from the risk level value and the environmental risk level value, and then the health risk level value is used as the basis for the health assessment of one of the target objects.

In detail, the personnel data storage module 201 of the database 20 stores the personal data (such as age, gender, employee number, year, unit organization, etc.) of a plurality of target objects, the data The health check data storage module 202 of the database 20 stores health check data (such as height, weight, blood pressure, etc.) or psychological assessment data (such as fatigue, psychological state, etc.) of a plurality of target objects, and the environment of the database 20 The data storage module 203 stores environmental assessment data (eg, internal illegal infringement assessment, external illegal infringement assessment).

In one embodiment, the psychological assessment data can be filled out by the target subjects in the “Overwork Scale” in the “Guidelines for the Prevention of Diseases Caused by Abnormal Workloads (Second Edition)” provided by the Occupational Safety Administration of the Ministry of Labor, Moreover, the "Overwork Scale" has a personal-related overwork subscale and a work-related overwork subscale; and the environmental assessment data can be filled in by the target objects in the "Prevention of Unlawful Infringement in Performing Duties" provided by the Occupational Safety Administration of the Ministry of Labour. Guidelines (Second Edition) (June 106 Edition)" in the "Hazard Identification and Risk Assessment Form for Wrongful Assault Prevention at Workplace", and the "Hazard Identification and Risk Assessment Form for Unlawful Assault Prevention at Workplace" has internal unlawful assault assessment and External Wrongful Infringement Assessment. However, the present invention is not limited to this. In addition, these target objects are objects that the user wants to care about.

In this embodiment, as shown in FIG. 1, a user device (such as a personal computer, a smart phone, etc., not shown in the figure) is connected for communication (such as using the Internet or various wired and wireless networks) The user equipment, and a user (such as health managers, nurses, doctors, etc.) uses the user equipment to log in to a health care facility through two-factor authentication (such as natural person certificates, employee pass codes, fingerprints or verification codes, etc.). The management device 10, the health management device 10 provides a user operation interface (such as a user interface, User Interface, UI) to the user device, so that the user can use the user device to configure the desired user interface through the user interface. Care about the selection conditions of one target object A (such as age, gender, employee number, year, unit organization, etc. of personal data), and then make the health management device 10 select from a database 20 according to the selection conditions of the target object A. The event data storage module 201 filters out the information of the target object A (such as the number of the target object A pre-programmed by the health management device 10 ).

In one embodiment, the physical risk assessment module 101 of the health management device 10 obtains the health check data of the target object A from the health check data storage module 202 of the database 20 according to the screened information of the target object A , for example, the test values of the health examination data of the target object A are waist circumference: 90cm, systolic blood pressure: 160mmHg, diastolic blood pressure: 80mmHg, fasting blood glucose: 96mg/dl, triglyceride: 80mg/dl , High-density lipoprotein cholesterol: 50mg/dl, total cholesterol 200mg/dl.

Furthermore, the physical risk assessment module 101 converts the test value of the health examination data of the target object A into a grade value according to a test value conversion level value table (as shown in Table 1) of the target object A, so, The grading value after the conversion of the test value of the health examination data of the target object A is waist circumference: A, systolic blood pressure of blood pressure: A-, blood pressure of diastolic blood pressure: B, fasting blood glucose value: B, triglyceride: C- , High-density lipoprotein cholesterol: B-, total cholesterol: C.

Table 1: Test value conversion level value table of health check data

In addition, the physical risk assessment module 101 uses the formula (1) of a physical risk grading algorithm to calculate a physical risk score R according to the level value of the health check data of the target object A, and then uses the physical risk score R to use The formula (2) of the physical risk grading algorithm is used to calculate a physical risk grade value L _r , wherein the formula (1) and the formula (2) of the physical risk grading algorithm are as follows:

Wherein, R: body risk score, _{fr 1} ( x ): converted score of waist circumference, fr ₂ ( x ): converted score of blood pressure from systolic blood pressure, _{fr 3} (x): converted from blood pressure Diastolic blood pressure level converted fraction, _{fr 4} ( x ): Fasting blood glucose level converted fraction, _{fr 5} ( x ): Triglyceride level converted fraction, _{fr 6} ( x ) : The fraction converted from the level of high-density lipoprotein cholesterol, f _{r 7} (x): The fraction of converted from the level of total cholesterol; a _{r 1} : The weighted value of waist circumference, a _{r 2} : The weighted value of blood pressure and systolic blood pressure, a _{r 3} : weighted value of diastolic blood pressure of blood pressure, a _{r 4} : weighted value of fasting blood glucose value, _{ar 5} : weighted value of triglyceride, ar ₆ : weighted value of HDL cholesterol, a _{r 7} : weighted value of total cholesterol; and L _r : body risk grade value, fr ₀ (y): body risk score converted grade value.

In one embodiment, the weight value of the health check items is preset as 1, and can be adjusted according to different target objects. For example, when the age of the target _object is over 60 years old, the The weight value of the blood pressure) and ar ₃ (the weight value of the diastolic blood pressure of the blood pressure) can be set to 1.2.

Therefore, the physical risk assessment module 101 uses the formula (1) of the physical risk grading algorithm to calculate the physical risk score R of the target subject A, wherein, according to the waist circumference (A) of the target subject A, the blood pressure Systolic blood pressure (A-), diastolic blood pressure (B), fasting blood glucose (B), triglyceride (C-), high-density lipoprotein cholesterol (B-), total cholesterol (C) to calculate the target Subject A's waist circumference was scored as 6, systolic blood pressure was scored as 4, diastolic blood pressure was scored as 2, fasting blood glucose was scored as 2, triglyceride was scored as 0, high-density lipoprotein cholesterol was scored as The score is 2, the score of total cholesterol is 0, and the weight value of waist circumference ar ₁ , the weight value of systolic blood pressure ar ₂ , the weight value of diastolic blood pressure ar ₃ , the weight value of fasting blood glucose value ar _{r 4.} The weight value a r 5 of triglyceride, the weight value a _{r 6} of high-density lipoprotein cholesterol, and the weight value a _{r 7 of} total cholesterol are all preset as 1, and accordingly, the body risk assessment module 101 uses The physical risk score R=(1×6)+(1×4)+(1×2)+(1×2)+(1×0)+ calculated by the formula (1) of the physical risk grading algorithm (1×2)+(1×0)=16.

Then, the physical risk assessment module 101 uses the formula (2) of the physical risk grading algorithm to calculate the physical risk level value L _r , that is, the physical risk assessment module 101 substitutes the physical risk score R=16 into Formula (2) of the physical risk grading algorithm to obtain the physical risk grading value L _r = f _{r 0} (y)= B .

In one embodiment, the psychological risk assessment module 102 of the health management device 10 obtains the psychological assessment data of the target subject A from the health examination data storage module 202 of the database 20 according to the screened information of the target subject A For example, the evaluation value of the psychological evaluation data of the target object A is 75 points for personal fatigue evaluation, 55 points for work fatigue evaluation, 82 hours of overtime per month on average, and 6 points for work type evaluation. In one embodiment, the work type assessment has options such as night shift, irregularity, noise, temperature difference, jet lag, frequent business trips, high stress, etc., and these options are all It is 1 point to calculate the total score obtained by a target object meeting these options. For example, if the target object meets the options of night shift, irregularity, noise, temperature difference, jet lag, frequent business trip, etc., the evaluation of the work type is 6 points.

Furthermore, the psychological risk assessment module 102 converts the evaluation value of the psychological evaluation data of the target object A into a grade value according to an evaluation value conversion table of psychological evaluation data (as shown in Table 2), so, The grading value after the conversion of the psychological evaluation data of the target object A is personal fatigue assessment: A-, work fatigue assessment: B, overtime status assessment: A, work type assessment: A-.

Table 2: Evaluation value conversion grade table of psychological evaluation data

In addition, the psychological risk assessment module 102 uses the formula (3) of a psychological risk grading algorithm to calculate a psychological risk score P according to the grade value of the psychological assessment data of the target object A, and then uses the psychological risk score P according to the psychological risk score P. The formula (4) of the psychological risk grading algorithm is used to calculate a psychological risk grade value L _p , wherein the formula (3) and the formula (4) of the psychological risk grading algorithm are as follows:

Among them, P: psychological risk score, f _{p 1} (x): the score of the level value conversion of personal fatigue assessment, f _{p 2} (x): the score of the level value conversion of work overload assessment, f _{p 3} (x) : Point of conversion of grade value of overtime status evaluation, f _{p 4 (} x ): Point of conversion of grade value of work _type evaluation ; weight value, _{ap 3} : weight value of overtime status evaluation, _{ap 4} : weight value of work type evaluation; and L p : psychological risk grade value, f _{p 0} (y): grade value of psychological risk score conversion. In one embodiment, the weight values of the evaluation items are preset as 1, and the weight values of the evaluation items can be adjusted according to different target objects.

Therefore, the psychological risk assessment module 102 uses the formula (3) of the psychological risk grading algorithm to calculate the psychological risk score P of the target object A, wherein, according to the personal fatigue assessment (A-) of the target object A , Work overload assessment (B), overtime status assessment (A), work type assessment (A-) Calculate the score of the target object A's personal overload assessment is 5, the work overload assessment score is 3, overtime work The score of the condition assessment is 6, the score of the work type assessment is 6, and the weight value of the personal fatigue assessment is a _{p 1} , the weight value of the work overload assessment is a _{p 2} , the weight value of the overtime status assessment is a _{p 3} , the work The weight values ap ₄ of the type assessment are all preset as 1, and accordingly, the psychological risk score P=(1×5) calculated by the psychological risk assessment module 102 using the formula (3) of the psychological risk grading algorithm )+(1×3)+(1×6)+(1×6)=20.

Then, the psychological risk assessment module 102 uses the formula (3) of the psychological risk grading algorithm to calculate the psychological risk level value L _p , that is, the psychological risk assessment module 102 substitutes the psychological risk score P=20 into the psychological risk score L p . Formula (4) of the psychological risk grading algorithm to obtain the psychological risk grading value L _p = f _{p 0} (y) = A .

In one embodiment, the environmental risk assessment module 103 of the health management device 10 obtains the environmental assessment data of the target object A from the environmental data storage module 203 of the database 20 according to the screened information of the target object A, For example, the evaluation value system of the environmental evaluation data of the target object A is 70 points for the evaluation of internal illegal infringement and 30 points for the evaluation of external illegal infringement.

Furthermore, the environmental risk assessment module 103 converts the assessment value of the environmental assessment data of the target object A into a grade value according to an assessment value conversion table of environmental assessment data (as shown in Table 3), so, The grade value after the conversion of the evaluation value of the environmental assessment data of the target object A is the internal illegal infringement assessment: A-, and the external illegal infringement assessment: C.

Table 3: Evaluation value conversion grade value table of environmental assessment data

In addition, the environmental risk assessment module 103 uses the formula (5) of an environmental risk grading algorithm to calculate an environmental risk score J according to the grade value of the environmental assessment data of the target object A, and then uses the environmental risk score J to calculate an environmental risk score J. The formula (6) of the environmental risk grading algorithm is used to calculate an environmental risk grade value L _j , wherein the formula (5) and the formula (6) of the environmental risk grading algorithm are as follows:

Among them, J: environmental risk score, f _j1 (x): internal illegal infringement assessment grade value conversion score, f _j2 (x): external illegal infringement assessment grade value conversion score; a _{j 1} : internal illegal infringement assessment weight value, a _j2 : weight value of external wrongful infringement assessment; and L _j : environmental risk grade value, f _{j 0} (y): grade value of environmental risk score conversion. In one embodiment, the weight values of the evaluation items are preset as 1, and the weight values of the evaluation items can be adjusted according to different target objects.

Therefore, the environmental risk assessment module 103 uses the formula (5) of the environmental risk classification algorithm to calculate the environmental risk score J of the target object A, wherein, according to the internal illegal infringement assessment (A-) of the target object A , The external illegal infringement evaluation (C) calculates the target object A's internal illegal infringement evaluation score as 5, the external illegal infringement evaluation score is 1, and the internal illegal infringement evaluation weight value a _{j 1} , the external illegal infringement evaluation is The weight values a _{j 2} are all preset as 1, and accordingly, the environmental risk assessment module 103 calculates the environmental risk score J=(1×5)+(1 by using the formula (5) of the environmental risk classification algorithm ×1)=6.

Then, the environmental risk assessment module 103 uses the formula (6) of the environmental risk classification algorithm to calculate the environmental risk grade value L _j , that is, the environmental risk assessment module 103 substitutes the environmental risk score J=6 into the environmental risk grade value L j . Formula (6) of the environmental risk grading algorithm to obtain the environmental risk grade value L _j = f _{j 0} (y) = B .

In one embodiment, the health risk grading module 104 of the health management device 10 is communicatively connected to the physical risk assessment module 101 , the psychological risk assessment module 102 and the environmental risk assessment module 103 to receive data from the body The physical risk level value L _r = B of the risk assessment module 101 , the psychological risk level value L _p = A of the psychological risk assessment module 102 , and the environmental risk level value L _j = B of the environmental risk assessment module 103 .

Furthermore, the health risk grading module 104 uses a health risk grading algorithm according to the physical risk grading value L _r = B , the psychological risk grading value L _p = A and the environmental risk grading value L _j = B of the target object A. Formula (7) is used to calculate a health risk score H, and then formula (8) of the health risk classification algorithm is used to calculate a health risk level L _h according to the health risk score H, wherein the health risk classification algorithm The formulas (7) and (8) are as follows:

Wherein, H: health risk score, f _{h 1} (x): converted score of physical risk level value, f _{h 2} (x): converted score of psychological risk level value, f _{h 3} (x): converted environmental risk level value a _{h 1} : the weight value of the physical risk level value, a _{h 2} : the weight value of the psychological risk level value, a _{h 3} : the weight value of the environmental risk level value; and L _h : the health risk level value, f _{h 0} (y): Scale value for health risk score conversion. In one embodiment, the weight values of the risk level values are preset as 1, and the weight values of the evaluation items can be adjusted according to different target objects.

Therefore, the health risk grading module 104 uses the formula (7) of the health risk grading algorithm to calculate the health risk score H of the target subject A, wherein, according to the physical risk grade value L _r = B of the target subject A , Psychological risk level value L _p = A and environmental risk level value L _j = B Calculate the physical risk level value conversion score of the target object A is 5, the psychological risk level value conversion score is 9, the environmental risk level value conversion The score is 6, and the weight value a h 1 of the physical risk level value, the weight value a _{h 2} of the psychological risk level value, and the weight value a _{h 3 of} the environmental risk level value are all preset as 1. According to this, the health The health risk score H=(1×5)+(1×9)+(1×6)=20 calculated by the risk grading module 104 using the formula (7) of the health risk grading algorithm.

Then, the health risk grading module 104 uses the formula (8) of the health risk grading algorithm to calculate the health risk grading value L _h , that is, the health risk grading module 104 substitutes the health risk score H=20 into Formula (8) of the health risk grading algorithm to calculate the health risk grading value L _h = f _{h 0} (y) = A -.

In this regard, the health risk grading module 104 evaluates the target object A as a third-level high-care target object according to an evaluation table of health risk level values (as shown in Table 4), and then provides the user with ( Such as health managers, nurses, doctors, etc.), so that the user can further conduct an interview with the target object A, and give appropriate health guidance and feedback to the target object A, including whether further medical treatment and adjustment work are required. .

Table 4: Assessment table for health risk level values

FIG. 2 is a schematic flowchart of the health risk grading method of the present invention, which is also described with reference to FIG. 1 . As shown in FIG. 2, the flow of the health risk classification method includes the following steps S21 to S25:

In step S21 , the health management device 10 provides a user with a selection condition for setting one of the plurality of target objects, so as to filter out the information of the one of the plurality of target objects from a database 20 .

In step S22, the health management device 10 obtains the health check data, psychological assessment data and environmental assessment data of one of the plurality of target subjects from the database 20 according to the information of the one of the plurality of target subjects.

In step S23, the health management device 10 uses the health examination data, psychological assessment data and environmental assessment data of one of the plurality of target objects to calculate the physical risk level value and the psychological risk level of one of the plurality of target objects value and environmental risk level value.

In step S24, the health management device 10 calculates a health risk level value according to the physical risk level value, the psychological risk level value and the environmental risk level value of one of the plurality of target objects using a health risk classification algorithm.

In step S25, the health management device 10 provides the health risk level value to the user as a basis for the health assessment of one of the plurality of target objects.

FIG. 3 is a schematic flowchart of the execution method of the physical risk assessment module of the present invention, which is also described with reference to FIG. 1 . As shown in FIG. 3, the execution flow of the physical risk assessment module includes the following steps S31 to S35:

In step S31, the health management device 10 selects the target object (such as age, gender, employee number, year, unit organization, etc.) input from the user (such as health managers, nurses, physicians, etc.) from The personnel data storage module 201 of a database 20 filters out the information of the target object (such as the number of the target object pre-programmed by the health management device 10 )

In step S32, the physical risk assessment module 101 of the health management device 10 obtains the health check data of the target object from the health check data storage module 202 of the database 20 according to the screened information of the target object.

In step S33, the physical risk assessment module 101 of the health management device 10 converts the test value of the target object's health check data into a grade value of the health check data.

In step S34, the physical risk assessment module 101 of the health management device 10 uses a physical risk grading algorithm to calculate a physical risk score according to the level value of the target object's health check data.

In step S35, the physical risk assessment module 101 of the health management apparatus 10 uses the physical risk classification algorithm to calculate a physical risk level value according to the physical risk score.

FIG. 4 is a schematic flowchart of the execution method of the psychological risk assessment module of the present invention, which is also described with reference to FIG. 1 . As shown in FIG. 4 , the execution flow of the psychological risk assessment module includes the following steps S41 to S45:

In step S41, the selection criteria (such as age, gender, employee number, year, unit organization, etc.) of the personal data input by the health management device 10 according to the user (such as a health manager, a nurse, a physician, etc.) The personnel data storage module 201 of a database 20 filters out the information of the target object (such as the number of the target object pre-programmed by the health management device 10 )

In step S42, the psychological risk assessment module 102 of the health management device 10 obtains the psychological assessment data of the target object from the health check data storage module 202 of the database 20 according to the screened information of the target object.

In step S43, the psychological risk assessment module 102 of the health management apparatus 10 converts the assessment value of the target object's psychological assessment data into a grade value of the psychological assessment data.

In step S44, the psychological risk assessment module 102 of the health management apparatus 10 uses a psychological risk grading algorithm to calculate a psychological risk score according to the level value of the psychological assessment data of the target object.

In step S45, the psychological risk assessment module 102 of the health management apparatus 10 uses the psychological risk classification algorithm to calculate a psychological risk level value according to the psychological risk score.

FIG. 5 is a schematic flowchart of the execution method of the environmental risk assessment module of the present invention, and is described with reference to FIG. 1 . As shown in FIG. 5, the execution flow of the environmental risk assessment module includes the following steps S51 to S55:

In step S51, the selection criteria (such as age, gender, employee number, year, unit organization, etc.) of the personal data input by the health management device 10 according to the user (such as a health manager, a nurse, a physician, etc.) The personnel data storage module 201 of a database 20 filters out the information of the target object (such as the number of the target object pre-programmed by the health management device 10 )

In step S52 , the environmental risk assessment module 103 of the health management device 10 obtains the environmental assessment data of the target object from the environmental data storage module 203 of the database 20 according to the screened information of the target object.

In step S53, the environmental risk assessment module 103 of the health management device 10 converts the assessment value of the environmental assessment data of the target object into the grade value of the environmental assessment data.

In step S54, the environmental risk assessment module 103 of the health management device 10 uses an environmental risk classification algorithm to calculate an environmental risk score according to the level value of the environmental assessment data of the target object.

In step S55, the environmental risk assessment module 103 of the health management device 10 uses the environmental risk classification algorithm to calculate an environmental risk grade value according to the environmental risk score.

To sum up, the health risk grading apparatus, system and method of the present invention use the health examination data of the target object to be cared for, and calculate the physical risk level value through the physical risk classification algorithm; The psychological assessment data of various psychological assessment scales and questionnaires can be used to calculate the psychological risk level value through the psychological risk grading algorithm; The algorithm calculates the environmental risk level value, whereby the present invention quickly and accurately calculates the health risk level through the health risk classification algorithm according to the physical risk level value, the psychological risk level value and the environmental risk level value of the target object to be cared for value, and then provide the health risk level value of the target object to be cared to the medical staff. In this regard, medical staff can quickly and accurately take the initiative to intervene in care and provide appropriate health guidance for employees with high health risk levels (that is, target objects), which greatly improves the efficiency of workplace health management.

In addition, the present invention calculates a large amount of physiological, psychological and environmental data of the target object through the physical risk grading algorithm, the psychological risk grading algorithm, the environmental risk grading algorithm and the health risk grading algorithm, so as to accurately evaluate the target object's Health risk level value, thereby improving the accuracy of medical staff in evaluating the target object.

Therefore, the present invention strengthens and implements the prevention of diseases caused by abnormal workload of emerging occupational disease prevention programs, the protection of maternal labor health, the prevention of human-induced hazards, and the prevention of unlawful violations in the performance of duties, which can be applied to the special health of laborers. Check the health management classification, enterprises can use the system to prevent emerging occupational diseases, reduce accidents and disasters, in order to meet the requirements of occupational safety regulations, reduce corporate losses, and enhance corporate image.

The above-mentioned embodiments are only used to illustrate the principle and effect of the present invention, but are not intended to limit the present invention. Anyone skilled in the art can make the invention without departing from the spirit and scope of the present invention. Under the domain, modifications and changes are made to the above-mentioned embodiments. Therefore, the protection scope of the present invention should be listed in the scope of the patent application.

1: Health Risk Grading System

10: Health management equipment

101: Physical Risk Assessment Module

102: Psychological Risk Assessment Module

103: Environmental Risk Assessment Module

104: Health Risk Classification Module

105: Health Management Module

106: Computing Modules

20:Database

201: Personnel data storage module

202: Health check data storage module

203: Environment data storage module

Claims (13)

A health risk grading system includes: a database that stores health examination data, psychological assessment data and environmental assessment data of a plurality of target objects; and a health management device that communicates and connects to the database to select selected items from the database. The information of one of the plurality of target objects, and the health examination data, psychological assessment data and environmental assessment data of the one of the plurality of target objects are obtained from the database according to the information of the one of the plurality of target objects, wherein the health The management equipment includes: a physical risk assessment module, which uses a physical risk grading algorithm to calculate a physical risk score of one of the plurality of target objects according to the health examination data of the one of the plurality of target objects, so as to calculate a physical risk score of the one of the plurality of target objects according to the The physical risk score calculates a physical risk level value using the physical risk grading algorithm; a psychological risk assessment module uses a psychological risk grading algorithm to calculate the plurality of targets according to the psychological assessment data of one of the plurality of target objects a psychological risk score of one of the objects, so as to calculate a psychological risk level value with the psychological risk grading algorithm according to the psychological risk score; an environmental risk assessment module based on the environmental assessment of one of the plurality of target objects The data uses an environmental risk grading algorithm to calculate an environmental risk score of one of the plurality of target objects, so as to calculate an environmental risk grading value by the environmental risk grading algorithm according to the environmental risk score; and a health risk grading model group, which is calculated by a health risk grading algorithm according to the physical risk level value, psychological risk level value and environmental risk level value of one of the plurality of target objects A health risk level value is calculated, and then the health risk level value is used as the basis for the health assessment of one of the plurality of target objects. The health risk grading system according to claim 1, wherein the physical risk assessment module converts the test value of the health check data of one of the plurality of target objects into the grade value of the health check data, so as to base on the plurality of target objects The physical risk score is calculated using the physical risk grading algorithm based on the grade value of the health check data of one of the target subjects. The health risk grading system according to claim 1, wherein the psychological risk assessment module converts the assessment value of the psychological assessment data of one of the plurality of target objects into the grade value of the psychological assessment data, so as to calculate the psychological assessment data according to the plurality of target objects. The psychological risk score is calculated using the psychological risk grading algorithm based on the grade value of the psychological assessment data of one of the target objects. The health risk grading system according to claim 1, wherein the environmental risk assessment module converts the assessment value of the environmental assessment data of one of the plurality of target objects into the grade value of the environmental assessment data, so as to base on the plurality of target objects The environmental risk score is calculated using the environmental risk grading algorithm based on the grade value of the environmental assessment data of one of the target objects. The health risk grading system according to claim 1, wherein the health risk grading module uses the health risk grading to calculate the physical risk grade value, the psychological risk grade value and the environmental risk grade value of one of the plurality of target objects A health risk score is calculated by the method, so that the health risk grade value is calculated by the health risk classification algorithm according to the health risk score. The health risk classification system according to claim 1, wherein the database includes a personnel data storage module, a health check data storage module and an environmental data storage module, wherein the personnel data storage module stores the plurality of targets The subject's personal data, the health check data storage module storage The health examination data or psychological evaluation data of the plurality of target objects are stored, and the environmental data storage module stores the environmental evaluation data. A health risk classification method, comprising: selecting information of one of a plurality of target objects from a database by a health management device; obtaining the information from the database by the health management device according to the information of one of the plurality of target objects Health examination data, psychological assessment data and environmental assessment data of one of the plurality of target objects; calculated by the physical risk assessment module of the health management device based on the health check data of one of the plurality of target objects using a physical risk grading algorithm Obtaining a physical risk score of one of the plurality of target objects, so as to calculate a physical risk level value with the physical risk grading algorithm according to the physical risk score; the psychological risk assessment module of the health management equipment according to the plurality of targets Psychological assessment data of one of the objects uses a psychological risk grading algorithm to calculate a psychological risk score of one of the plurality of target objects, so as to calculate a psychological risk level value by the psychological risk grading algorithm according to the psychological risk score The environmental risk assessment module of the health management equipment uses an environmental risk grading algorithm to calculate an environmental risk score for one of the plurality of target objects according to the environmental assessment data of the one of the plurality of target objects, so that according to the environment The risk score is calculated by the environmental risk grading algorithm to calculate an environmental risk grade value; and the health risk grade value of the health management device is based on the physical risk grade value, the psychological risk grade value and the environmental risk of one of the plurality of target objects The level value uses a health risk classification algorithm to calculate a health risk level value, and then uses the health risk level value as a basis for the health assessment of one of the plurality of target objects. The health risk grading method according to claim 7, wherein the physical risk assessment module converts the test value of the health check data of one of the plurality of target objects into the grade value of the health check data, so as to be based on the plurality of target objects. The physical risk score is calculated using the physical risk grading algorithm based on the grade value of the health check data of one of the target subjects. The health risk grading method according to claim 7, wherein the psychological risk assessment module converts the assessment value of the psychological assessment data of one of the plurality of target objects into the grade value of the psychological assessment data, so as to use the plurality of The psychological risk score is calculated using the psychological risk grading algorithm based on the grade value of the psychological assessment data of one of the target objects. The health risk grading method according to claim 7, wherein the environmental risk assessment module converts the assessment value of the environmental assessment data of one of the plurality of target objects into the grade value of the environmental assessment data, so as to base on the plurality of target objects The environmental risk score is calculated using the environmental risk grading algorithm based on the grade value of the environmental assessment data of one of the target objects. The health risk grading method according to claim 7, wherein the health risk grading module uses the health risk grading to calculate the physical risk grade value, psychological risk grade value and environmental risk grade value of one of the plurality of target objects A health risk score is calculated by the method, so that the health risk grade value is calculated by the health risk classification algorithm according to the health risk score. The health risk grading method according to claim 7, wherein the database has a personnel data storage module storing the personal data of the plurality of target objects, a data storage module storing the health examination data or psychological evaluation data of the plurality of target objects A health check data storage module, and an environmental data storage module storing environmental assessment data. A health risk grading device comprising: The health management module selects the information of one of the plurality of target objects from a database, and obtains the health check data of the one of the plurality of target objects from the database according to the information of the one of the plurality of target objects. Psychological assessment data and environmental assessment data; the physical risk assessment module uses a physical risk grading algorithm to calculate a physical risk score of one of the plurality of target objects according to the health examination data of the one of the plurality of target objects, so as to provide A physical risk level value is calculated by the physical risk classification algorithm according to the physical risk score; the psychological risk assessment module is based on the psychological evaluation data of one of the plurality of target objects and uses a psychological risk classification algorithm to calculate the complex number A psychological risk score of one of the target objects, so as to calculate a psychological risk level value with the psychological risk grading algorithm according to the psychological risk score; the environmental risk assessment module is based on the environmental assessment of one of the plurality of target objects The data uses an environmental risk grading algorithm to calculate an environmental risk score of one of the plurality of target objects, so as to calculate an environmental risk grading value by the environmental risk grading algorithm according to the environmental risk score; and a health risk grading module , which is based on the physical risk level value, psychological risk level value and environmental risk level value of one of the plurality of target objects and uses a health risk classification algorithm to calculate a health risk level value, and then use the health risk level value as the complex number The basis for the health assessment of one of the target subjects.

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