Nurse career planning method based on character color model

Abstract

The invention discloses a nurse career planning method based on a character color model, and the method comprises the steps: collecting the basic information data of a nurse, inputting the basic information data into a pre-constructed character analysis model for character analysis, and obtaining target character data, performing skill portrait construction according to the basic information data and the target character data to obtain a target skill portrait, performing dynamic risk assessment according to the basic information data, the target character data and the target skill portrait to obtain a risk assessment result, and performing occupational planning according to the target character data, the target skill portrait and the risk assessment result. And obtaining an occupational planning result. According to the invention, career planning can be completed for nurses with different characters, and the career planning accuracy of the nurses is improved.

Description

Technical Field

[0001] This invention relates to the technical field of intelligent career planning for nurses, and in particular to a career planning method for nurses based on a personality color model. Background Technology

[0002] Career planning for nurses currently relies heavily on traditional lectures, mentorship, or simple online questionnaires. However, it fails to effectively integrate the vast amounts of real-world data generated during clinical work, such as rotations, professional skills, performance, and burnout levels. This results in career planning that is detached from reality and lacks relevance. Summary of the Invention

[0003] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes a career planning method for nurses based on a personality color model, which can complete career planning for nurses with different personalities, thereby improving the accuracy of nurses' career planning.

[0004] The present invention also proposes a career planning device for nurses based on a personality color model.

[0005] The present invention also proposes a control system for a nurse career planning device.

[0006] The present invention also proposes a computer-readable storage medium.

[0007] In a first aspect, one embodiment of the present invention provides a nurse career planning method based on a personality color model, comprising:

[0008] Collect basic information data from nurses;

[0009] The basic information data is input into a pre-built personality analysis model for personality analysis to obtain target personality data;

[0010] Based on the basic information data and the target personality data, a skill profile is constructed to obtain the target skill profile;

[0011] Based on the basic information data, the target personality data, and the target skill profile, a dynamic risk assessment is conducted to obtain the risk assessment results.

[0012] Career planning is conducted based on the target personality data, the target skill profile, and the risk assessment results to obtain career planning results.

[0013] The nurse career planning method of this invention has at least the following beneficial effects: It transforms general four-color personality traits into specific behavioral indicators in nursing work scenarios. Through nursing scenario-specific test questions, behavioral observation data, and work performance correlation data, quantitative data related to personality are collected to obtain basic information data. This basic information data is input into a red, blue, yellow, and green four-color personality analysis model to accurately locate the nurse's dominant personality color, analyze their behavioral tendencies and suitable roles within the nursing team, and obtain target personality data, providing a foundational basis for career direction matching. Based on the basic information data and target personality data, a two-dimensional skill profile of hard and soft skills is constructed. Combined with the nurse's career growth stages, the skill focus and improvement direction at different stages are clarified, resulting in a target skill profile, providing capability support for career planning. Based on the basic information data, target personality data, and target skill profile, and combined with career motivation factors and risk assessment scales, the core driving forces and potential risks of nurse career development are quantitatively analyzed, providing data support for career stability planning. Serving as the core implementation platform for career planning, this system incorporates a suite of digital tools, with the "Nursing Career Balance Wheel Assessment Tool" at its core. It guides nurses through self-assessment, gap analysis, and planning, enabling proactive and visualized career planning. This system can tailor career planning to nurses with different personalities, improving the accuracy of their career planning.

[0014] According to other embodiments of the nurse career planning method of the present invention, the collection of nurses' basic information data includes:

[0015] Construct a four-color feature database corresponding to nursing scenarios;

[0016] Design testing tools for nursing scenarios based on the four-color feature database;

[0017] After the nurse completes filling out the test tool, the data entered on the test tool is collected to obtain the basic information data.

[0018] According to other embodiments of the nurse career planning method of the present invention, the construction of a four-color feature database corresponding to nursing scenarios includes:

[0019] The core traits of the four-color personality are transformed into behavioral indicators in nursing work, resulting in a four-color feature mapping.

[0020] A relational database is constructed based on the four-color feature mapping to obtain the four-color feature database.

[0021] According to other embodiments of the nurse career planning method of the present invention, the target personality data includes a personality color analysis report, and the step of inputting the basic information data into a pre-constructed personality analysis model for personality analysis and target career suggestions to obtain target personality data includes:

[0022] Based on the standardized data in the four-color feature database, feature matching and weighted calculation are performed to obtain the standardized score corresponding to the personality color;

[0023] The dominant and secondary colors of the basic information data are determined based on the standardized scores to obtain the personality color analysis report; wherein, the personality color analysis report includes the target dominant color and the target behavioral tendency;

[0024] Based on the target's dominant color and behavioral tendencies, role matching is performed to obtain career suggestions for the target.

[0025] According to other embodiments of the nurse career planning method of the present invention, the step of performing a motivational risk assessment based on the basic information data, the target personality data, and the target skill profile to obtain a risk assessment result includes:

[0026] A nursing scenario-based dynamic and risk indicator database is constructed based on the aforementioned basic information data;

[0027] Based on the aforementioned power and risk indicator library, power and risk data are collected and preprocessed;

[0028] Based on the aforementioned motivation and risk data, target personality data, and target skill profile, core calculations and interconnected analyses are performed to obtain the risk assessment results.

[0029] According to other embodiments of the nurse career planning method of the present invention, the risk assessment result includes target motivation and risk score, and the step of performing core calculations and linkage analysis based on the motivation and risk data, the target personality data, and the target skill profile to obtain the risk assessment result includes:

[0030] Calculate the overall score of power and risk based on the aforementioned power and risk data;

[0031] Calculate the motivation and risk correction parameters based on the target personality data and the target skill profile;

[0032] The combined power and risk score is corrected based on the power and risk correction parameters to obtain the target power and risk score.

[0033] According to other embodiments of the nurse career planning method of the present invention, the step of performing career planning based on the target personality data, the target skill profile, and the risk assessment results to obtain career planning results includes:

[0034] Construct a basic planning database corresponding to nursing scenarios; wherein, the basic planning database includes a nursing career path database, a career balance wheel index database, and an executable task database;

[0035] The target personality data, the target skill profile, and the risk assessment results are standardized to obtain the planning base dataset.

[0036] A list of career paths is obtained by performing a weighted matching based on the planning dataset and the nursing career path database.

[0037] After constructing the career balance wheel based on the career path list, the career balance wheel indicator library, and the executable task library, the career planning results are obtained by breaking down the goals into stages.

[0038] Secondly, one embodiment of the present invention provides a nurse career planning device, comprising:

[0039] The data acquisition module is used to collect basic information data from nurses.

[0040] The personality analysis module is used to input the basic information data into a pre-built personality analysis model to perform personality analysis and obtain target personality data.

[0041] The skill profile construction module is used to construct a skill profile based on the basic information data and the target personality data to obtain a target skill profile.

[0042] The risk assessment module is used to perform a dynamic risk assessment based on the basic information data, the target personality data, and the target skill profile, and to obtain the risk assessment result.

[0043] The career planning generation module is used to conduct career planning based on the target personality data, the target skill profile, and the risk assessment results, and obtain career planning results.

[0044] Thirdly, one embodiment of the present invention provides a control system for a nurse career planning device, comprising:

[0045] At least one processor, and,

[0046] A memory communicatively connected to the at least one processor; wherein,

[0047] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the nurse career planning method as described in the first aspect.

[0048] Fourthly, one embodiment of the present invention provides a computer-readable storage medium storing computer-executable instructions for causing a computer to perform the nurse career planning method as described in the first aspect.

[0049] Other features and advantages of this application will be set forth in the following description and will be apparent in part from the description or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the description and the accompanying drawings. Attached Figure Description

[0050] Figure 1 This is a schematic flowchart of a specific embodiment of the nurse career planning method in this invention;

[0051] Figure 2 yes Figure 1 A schematic diagram of a specific embodiment of step 101;

[0052] Figure 3 yes Figure 2 A schematic diagram of a specific embodiment of step 201;

[0053] Figure 4 yes Figure 1 A schematic diagram of a specific embodiment of step 102;

[0054] Figure 5 yes Figure 1 A schematic diagram of a specific embodiment of step 104;

[0055] Figure 6 yes Figure 5 A schematic diagram of a specific embodiment of step 503;

[0056] Figure 7 yes Figure 1 A schematic diagram of a specific embodiment of step 105;

[0057] Figure 8 This is a block diagram of a specific embodiment of the nurse career planning device in this invention.

[0058] Explanation of reference numerals in the attached figures:

[0059] Data acquisition module 801, personality analysis module 802, skills profile construction module 803, risk assessment module 804, career planning generation module 805. Detailed Implementation

[0060] The following will describe the concept and technical effects of the present invention clearly and completely with reference to embodiments, so as to fully understand the purpose, features and effects of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are all within the scope of protection of the present invention.

[0061] In the description of this invention, if directional descriptions are involved, such as "up," "down," "front," "back," "left," "right," etc., indicating the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, it is only for the convenience of describing the invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. If a feature is referred to as "set," "fixed," "connected," or "installed" on another feature, it can be directly set, fixed, or connected to the other feature, or it can be indirectly set, fixed, connected, or installed on the other feature.

[0062] In the description of the embodiments of the present invention, the term "several" means one or more, and the term "multiple" means two or more. The terms "greater than," "less than," and "exceeding" should be understood as excluding the stated number, while the terms "above," "below," and "within" should be understood as including the stated number. The terms "first" and "second" should be understood as distinguishing technical features, and not as indicating or implying relative importance, the number of indicated technical features, or the order of the indicated technical features.

[0063] Career planning for nurses currently relies heavily on traditional lectures, mentorship, or simple online questionnaires. However, it fails to effectively integrate the vast amounts of real-world data generated during clinical work, such as rotations, professional skills, performance, and burnout levels. This results in career planning that is detached from reality and lacks relevance.

[0064] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes a career planning method for nurses based on a personality color model, which can complete career planning for nurses with different personalities, thereby improving the accuracy of nurses' career planning.

[0065] Reference Figure 1 , Figure 1 This diagram illustrates a flowchart of a nurse career planning method based on a personality color model, as illustrated in an embodiment of the present invention. In some embodiments, the nurse career planning method may include, but is not limited to, steps 101 to 105:

[0066] Step 101: Collect basic information data of nurses.

[0067] Step 102: Input the basic information data into the pre-built personality analysis model for personality analysis to obtain the target personality data.

[0068] Step 103: Construct a skill profile based on basic information data and target personality data to obtain the target skill profile.

[0069] In step 103, a two-dimensional skill profile of hard and soft skills is constructed. Combined with the stages of a nurse's career development, the skill focus and improvement direction at each stage are clarified, providing a basis for career planning. Hard skills include: basic, specialized, and emergency operations in clinical practice; basic medical knowledge, specialized disease knowledge, and policy and regulatory knowledge in professional knowledge reserves; and operation of medical equipment and application of digital tools in technical tool application. Soft skills include: doctor-patient communication and cross-team communication in communication and collaboration skills; as well as empathy and psychological care skills, time management and stress management skills, and learning and innovation skills.

[0070] It should be noted that this specifically includes: constructing a nursing scenario-based skill indicator library, transforming general skills into quantifiable and assessable indicators specific to nursing work, and clarifying the scoring standards and weights of each indicator. Skill-related data is collected through multiple channels, including self-assessment, performance evaluation, performance reviews, and training, ensuring comprehensive data collection and avoiding bias from single dimensions. Dynamic weights are set based on skill importance and differences in career stages, calculating skill scores for each dimension, and completing data preprocessing to ensure data validity and consistency. Quantitative scoring and skill profile generation: Skill distribution is presented through visual charts, and suitability analysis and improvement suggestions are output based on job requirements.

[0071] Quantitative scoring and skills profile generation includes a weighted scoring algorithm and a visual skills profile generation. The weighted scoring algorithm includes single-indicator comprehensive score calculation, first-level dimension score calculation, and skills comprehensive score calculation. Single-indicator comprehensive score calculation: Let the standardized self-assessment score of a certain indicator be S1, the assessment score be S2, the performance correlation score be S3, and the training evidence score be S4, with corresponding weights W1 (0.2), W2 (0.5), W3 (0.2), and W4 (0.1) respectively (total weights = 1). Then the comprehensive score Si of this indicator is: Si = S1 × W1 + S2 × W2 + S3 × W3 + S4 × W4. First-level dimension score calculation: Let a certain first-level dimension contain n indicators, each with a comprehensive score Si and a corresponding career stage weight Wi. Then the score D of this dimension is: D = (Si×Wi), where i=1 to n, and Wi is extracted from the weight configuration table, which is a data table in the skill indicator library. The overall skill score is calculated as follows: Total hard skill score H = Sum of scores for each first-level dimension of hard skills × Hard skill weight; Total soft skill score S = Sum of scores for each first-level dimension of soft skills × Soft skill weight; Overall skill score T = H + S.

[0072] The visualization of skills profiles includes three types of charts automatically generated by the system, forming a complete skills profile: a skills radar chart, a ranking of skills strengths and weaknesses, and a career stage fit curve. The skills radar chart uses the primary dimensions of hard and soft skills as axes, marking the scores for each dimension and visually presenting strengths and weaknesses. The ranking of skills strengths and weaknesses is arranged in descending order of primary dimension scores, marking "strong skills" with scores ≥0.8 (8 points) and "weak skills" with scores ≤0.5 (5 points). The career stage fit curve compares the current skills score with the skills required for the target career stage, such as from senior nurse to backbone nurse, showing the gap.

[0073] Step 104: Conduct a motivational risk assessment based on basic information data, target personality data, and target skill profile to obtain the risk assessment results.

[0074] Step 105: Conduct career planning based on target personality data, target skill profile, and risk assessment results to obtain career planning results.

[0075] Steps 101 to 105, as illustrated in this embodiment, transform the general four-color personality traits into specific behavioral indicators within the nursing work scenario. Quantitative personality-related data is collected through nursing scenario-specific test questions, behavioral observation data, and work performance-related data to obtain basic information data. This basic information data is then input into a red, blue, yellow, and green four-color personality analysis model to accurately pinpoint the nurse's dominant personality color, analyze their behavioral tendencies and suitable roles within the nursing team, and obtain target personality data, providing a foundational basis for career direction matching. Based on the basic information data and target personality data, a two-dimensional skill profile of hard and soft skills is constructed. Combined with the nurse's career growth stages, the skill focus and improvement direction at different stages are clarified, resulting in a target skill profile, providing capability support for career planning. Based on the basic information data, target personality data, and target skill profile, and combined with career motivation factors and risk assessment scales, the core driving forces and potential risks of nurses' career development are quantitatively analyzed, providing data support for career stability planning. As the core implementation vehicle for career planning, it incorporates a set of digital tools, with the "Nursing Career Balance Wheel Assessment Tool" at its core, to guide nurses in completing self-assessment, gap analysis, and planning, enabling proactive and visualized career planning. It can help nurses with different personalities complete career planning and improve the accuracy of nurses' career planning.

[0076] Reference Figure 2 , Figure 2 This diagram illustrates a flowchart of a nurse career planning method based on a personality color model, as illustrated in an embodiment of the present invention. In some embodiments, the collection of nurses' basic information data includes, but is not limited to, steps 201 to 203:

[0077] Step 201: Construct a four-color feature database corresponding to the nursing scenario.

[0078] Step 202: Design testing tools for nursing scenarios based on the four-color feature database.

[0079] In step 202, specifically, for example, subjective test questions account for 60%: a total of 30 questions, 7-8 questions for each personality color, the questions are completely aligned with nursing work scenarios, and a scoring system of 1-10 is used, where 1 = completely disagrees and 10 = completely agrees.

[0080] Step 203: After the nurse completes the filling in of the testing tool, the data filled in on the testing tool is collected to obtain basic information data.

[0081] Steps 201 to 203 of this application embodiment involve constructing a nursing scenario-based four-color feature database as basic data support, designing a nursing scenario-specific testing tool based on the four-color feature database as a data collection carrier, automatically calculating scores after nurses complete online test questions via APP or web-based tools, and inputting behavioral observation data and batch performance data, designing a performance data interface that links with the hospital HIS system to automatically extract relevant data, and standardizing data from different sources into a 0-1 score range using the formula: Standardized Score = (Original Score - Minimum Value) / (Maximum Value - Minimum Value) to obtain basic information data.

[0082] Reference Figure 3 , Figure 3 This diagram illustrates a flowchart of a nurse career planning method based on a personality color model, as illustrated in an embodiment of the present invention. In some embodiments, constructing a four-color feature database corresponding to nursing scenarios includes, but is not limited to, steps 301 to 302:

[0083] Step 301: Transform the core traits of the four-color personality into behavioral indicators in nursing work to obtain the four-color feature mapping.

[0084] Step 302: Construct a relational database based on the four-color feature mapping to obtain the four-color feature database.

[0085] Steps 301 to 302, as illustrated in the embodiments of this application, transform the general four-color traits into nursing scenario-specific behavioral indicators, taking into account the special characteristics of the nursing profession, thus avoiding the problem of insufficient adaptability of general personality tests. A structured database (such as MySQL) is used, containing three core tables: "Personality Dimension Table," "Nursing Scenario Behavior Table," and "Feature Weight Table."

[0086] It should be noted that the database structure design adopts a structured database. Specifically, for example, the four-color feature database includes a personality dimension table, a nursing scenario behavior table, and a feature weight table. The personality dimension table includes: dimension ID, personality color, core traits, and scenario-specific sub-traits. The nursing scenario behavior table includes: behavior ID, scenario type, corresponding personality dimension ID, behavior description, and quantitative scoring criteria. The feature weight table includes: weight ID, nursing job type, personality dimension ID, and weight value.

[0087] Personality colors include red, blue, yellow, and green. Specifically, for example: Red represents enthusiastic communication: 1. Proactiveness in doctor-patient communication (frequency of proactive interaction); 2. Effectiveness of patient emotional support (patient satisfaction score); 3. Frequency of team collaboration and sharing. Blue represents meticulousness and rigor: 1. Standardization of nursing procedures (error rate); 2. Accuracy of medical record writing; 3. Completeness of specialty nursing plans; 4. Sensitivity to risk prediction. Yellow represents goal orientation: 1. Achievement rate of career goals; 2. Number of nursing process optimization proposals; 3. Efficiency of team task coordination; 4. Speed ​​of decision-making in emergencies. Green represents stability and inclusiveness: 1. Patience in long-term care (patient complaint rate); 2. Number of times team conflicts are resolved; 3. Speed ​​of adaptation to job changes; 4. Stability of routine work.

[0088] Reference Figure 4 , Figure 4 This diagram illustrates a flowchart of a nurse career planning method based on a personality color model, as illustrated in an embodiment of the present invention. In some embodiments, the target personality data includes a personality color analysis report and target career suggestions. Basic information data is input into a pre-built personality analysis model for personality analysis to obtain the target personality data, specifically including but not limited to steps 401 to 403:

[0089] Step 401: Based on the standardized data in the four-color feature database, complete feature matching and weighted calculation to obtain the standardized score corresponding to the personality color.

[0090] In step 401, the system matches the preprocessed standardized data with the "scenario-based behavioral indicators" in the "Nursing Scenario-based Four-Color Feature Database" one by one, and extracts the standardized scores of 3-5 core behavioral indicators corresponding to each personality color.

[0091] Specifically, for example: Single-dimensional weighted score calculation: Suppose a personality color C has n core behavioral indicators, each with a standardized score Si (i=1,2,...,n) and a corresponding weight Wi (based on the "feature weight table", with a total weight sum of 1). Then the weighted score Sc for this color is: Sc = (Si×Wi) (i=1 to n). Job fit weight adjustment: For different nursing positions (such as emergency department, ICU, geriatrics department), the weight values ​​of each personality dimension are adjusted through the "feature weight table" to ensure more accurate results.

[0092] Step 402: Determine the dominant and secondary colors of the basic information data based on the standardized scores to obtain a personality color analysis report; the personality color analysis report includes the target dominant color and the target behavioral tendencies.

[0093] In step 402, specifically, for example: calculate the weighted scores Sred, Sblue, Syellow, and Sgreen for the four colors red, blue, yellow, and green. The color with the highest score is the core dominant color, which must satisfy the condition "highest score - second highest score ≥ 0.2". If the difference is < 0.2, it is a "dual dominant color". The color with the second highest score and ≥ 0.5 is the auxiliary color. There can be no more than one auxiliary color. If all four color scores are < 0.5 and the difference is < 0.1, a retest is prompted. A personality color analysis report is automatically generated, which includes: the core dominant color and auxiliary color, the weighted score and ranking of each color, the target behavioral tendency corresponding to the dominant color, and the target behavioral tendency based on the sub-traits of the "Personality Dimension Table".

[0094] Step 403: Based on the target's dominant color and behavioral tendencies, perform role matching to obtain target career suggestions.

[0095] In step 403, specifically, for example, based on the core traits of the dominant color and combined with nursing scenario-based behavioral indicators, specific work behavior tendencies are deduced using a "trait-to-behavior" mapping rule. Combining "nursing job type" and "dominant color," suitable roles are matched from the "team role database." Priority is given to precise matching based on "dominant color + job type." If there are two dominant colors, a composite role compatible with both personality types is matched. Based on the gap between the required abilities of the role and the nurse's current skill profile, "career development direction suggestions" are simultaneously noted when outputting the role.

[0096] Reference Figure 5 , Figure 5 This diagram illustrates a flowchart of a nurse career planning method based on a personality color model, as described in an embodiment of the present invention. In some embodiments, a motivational risk assessment is performed based on basic information data, target personality data, and target skill profiles to obtain the risk assessment results, specifically including but not limited to steps 501 to 503:

[0097] Step 501: Construct a nursing scenario-based dynamic and risk indicator database based on basic information data.

[0098] In step 501, a nursing scenario-based dynamic-risk indicator library is constructed based on basic information data as basic data support. It is designed using a relational database (such as MySQL) and includes three core tables: a dynamic factor indicator table, a risk factor indicator table, and a linkage weight configuration table.

[0099] Step 502: Collect and preprocess power and risk data based on the power and risk indicator library.

[0100] In step 502, three types of data are integrated to obtain motivation and risk data, rather than relying solely on subjective questionnaires. Specifically, for example: Subjective questionnaire data includes: 1. A self-assessment questionnaire on occupational motivation factors, corresponding to a motivation index table; 2. A nursing scenario-based MBI burnout scale, corresponding to a risk index table. Objective work data includes: 1. Motivation-related data: patient satisfaction, training records, promotion records, task completion rate; 2. Risk-related data: overtime hours, nursing error rate, number of complaints. Data linked to preceding units includes: target personality data and target skill profiles. Preprocessing of motivation and risk data involves using preprocessing rules consistent with those of the personality analysis and skill profile units to ensure consistent data standards throughout the entire process.

[0101] Step 503: Based on the motivation and risk data, target personality data, and target skill profile, perform core calculations and linkage analysis to obtain the risk assessment results.

[0102] In step 503, the core of the assessment process is divided into three sub-steps: motivation score calculation, risk score calculation, and personality-skill linkage correction.

[0103] Reference Figure 6 , Figure 6 This diagram illustrates a flowchart of a nurse career planning method based on a personality color model, as described in an embodiment of the present invention. In some embodiments, the risk assessment results include target motivation and risk scores. Core calculations and linkage analyses are performed based on motivation and risk data, target personality data, and target skill profiles to obtain the risk assessment results, specifically including but not limited to steps 601 to 603:

[0104] Step 601: Calculate the combined score of power and risk based on the power and risk data.

[0105] In step 601, the comprehensive score for motivation and risk includes a comprehensive score for occupational motivation and a comprehensive score for occupational risk. Specifically, for example, the calculation of the comprehensive score for occupational motivation includes the calculation of categorized motivation scores and the calculation of the comprehensive motivation score. The calculation of categorized motivation scores includes: intrinsic motivation score: ,in, This represents the standardized score of the intrinsic indicator. This represents the weight of the intrinsic indicators, with a total weight of 1. External motivation score: ,in, This represents the standardized score of the external indicator. This represents the weight of external indicators, with a total weight of 1. The calculation of the overall motivation score includes: .

[0106] The calculation of the overall occupational risk score includes the calculation of risk scores for each dimension and the calculation of the overall risk score. The calculation of risk scores for each dimension includes an emotional exhaustion score. Depersonalized scoring Personal achievement score .in, As a contrarian indicator, it must be inverted first: Overall risk score: .

[0107] Step 602: Calculate the motivation and risk correction parameters based on the target personality data and target skill profile.

[0108] In step 602, the target personality data and target skill profile from the preceding unit are introduced, and the motivation and risk correction parameters are calculated for the motivation and risk scores.

[0109] Step 603: Correct the comprehensive score of power and risk based on the power and risk correction parameters to obtain the target power and risk score.

[0110] In step 603, specifically, for example: Motivation adjustment: If a nurse has a yellow personality (goal-oriented) but lacks management skills, then the motivation score is multiplied by the adjustment coefficient; if the nurse has a red personality (communication-oriented) and strong doctor-patient communication skills, then the motivation score is multiplied by the adjustment coefficient. Risk adjustment: If a nurse has a green personality (stable and inclusive) but works in a high-intensity position (such as the ICU) for a long time, then the risk score is multiplied by the adjustment coefficient; if the overall skill score is ≥0.8, then the risk score is multiplied by the adjustment coefficient. Adjusted score: Where K = correction coefficient in the linkage weight configuration table.

[0111] Reference Figure 7 , Figure 7 This diagram illustrates a flowchart of a nurse career planning method based on a personality color model, as illustrated in an embodiment of the present invention. In some embodiments, career planning is performed based on target personality data, target skill profiles, and risk assessment results to obtain career planning results, specifically including but not limited to steps 701 to 704:

[0112] Step 701: Construct a basic planning database corresponding to the nursing scenario; wherein, the basic planning database includes a nursing career path database, a career balance wheel indicator database, and an executable task database.

[0113] In step 701, a basic database for planning nursing scenarios is constructed as the underlying support.

[0114] Step 702: Standardize the target personality data, target skill profile, and risk assessment results to obtain the planning basic dataset.

[0115] In step 702, specifically, the unstructured report of the preceding unit is converted into a unified JSON format key-value pair, the nurse's core professional needs are extracted through natural language processing (NLP), and "unrealizable needs" are filtered out in combination with the results of the preceding unit to obtain the planning basic dataset. The integrity of the core parameters is verified to ensure that there are no key missing data.

[0116] Step 703: Obtain a career path list by performing a weighted matching based on the planning base dataset and the nursing career path database.

[0117] In step 703, specifically, paths suitable for the current career stage are selected from the career path library, a weighted matching algorithm is used to calculate the path matching score, the paths are sorted in descending order of matching score, and the optimal path is recommended.

[0118] Step 704: After constructing the career balance wheel based on the career path list, career balance wheel indicator library, and executable task library, decompose the goals in stages to obtain career planning results.

[0119] In step 704, specifically, the construction of the balance wheel includes: adjusting the weights of the balance wheel dimensions based on career path needs and motivation risk status, generating a personalized balance map, tilting the weights of the balance wheel dimensions according to the selected optimal career path to ensure that the balance wheel focuses on the core needs of the path, storing the adjustment rules in the planning rule configuration table, compensating the weights of the "high risk / low motivation" related dimensions in combination with the individual's motivation risk level, calculating the dimension scores in combination with the individual's data, and generating the balance map.

[0120] The phased goal breakdown includes: dividing the career path into three levels: the optimal career path is divided into long-term, annual, and quarterly stages, with clear milestone indicators set for each stage. A list of essential skills for each stage is extracted from the career path database as the core basis for task matching. Based on the essential skill indicators for each stage, individual skill gaps, and personality traits, suitable tasks are selected from the executable task library. The selected tasks are prioritized to ensure that core tasks are executed first; the prioritization criteria are stored in the planning rule configuration table. The prioritized tasks are then linked to the annual / quarterly / monthly stages of the career path, setting task completion cycles and assessment standards. Task assessment standards are extracted from the executable task library and correlated with the balance wheel dimension scores to ensure that task completion results are quantifiable.

[0121] In addition, this application also discloses a nurse career planning device based on a personality color model, please refer to... Figure 8 , Figure 8 This invention discloses a module block diagram of a nurse career planning device according to an embodiment of the present invention. The nurse career planning device can implement the above-described nurse career planning method. The nurse career planning device includes: a data acquisition module 801, a personality analysis module 802, a skills profile construction module 803, a risk assessment module 804, and a career plan generation module 805. The data acquisition module 801, personality analysis module 802, skills profile construction module 803, risk assessment module 804, and career plan generation module 805 are all communicatively connected.

[0122] The data acquisition module 801 collects basic information data from nurses. The personality analysis module 802 inputs the basic information data into a pre-built personality analysis model for analysis, obtaining target personality data. The skills profile construction module 803 constructs a skills profile based on the basic information data and target personality data, obtaining a target skills profile. The risk assessment module 804 conducts a motivational risk assessment based on the basic information data, target personality data, and target skills profile, obtaining the risk assessment result. The career planning generation module 805 performs career planning based on the target personality data, target skills profile, and risk assessment result, obtaining the career planning result.

[0123] The data acquisition module 801 transforms the general four-color personality traits into specific behavioral indicators in nursing work scenarios. Through nursing scenario-specific test questions, behavioral observation data, and work performance-related data, it collects quantitative personality-related data to obtain basic information data. The personality analysis module 802 inputs the basic information data into a red, blue, yellow, and green four-color personality analysis model to accurately identify the nurse's dominant personality color, analyze their behavioral tendencies and suitable roles within the nursing team, and obtain target personality data, providing a foundational basis for career direction matching. The skills profile construction module 803 constructs two-dimensional skills profiles of hard and soft skills based on the basic information data and target personality data. Combining this with the nurse's career growth stages, it clarifies the skill focus and improvement directions at different stages, obtaining a target skills profile, providing capability support for career planning. The risk assessment module 804, based on the basic information data, target personality data, and target skills profile, and combining career motivation factors and risk assessment scales, quantitatively analyzes the core driving forces and potential risks of nurses' career development, providing data support for career stability planning. The Career Planning Generation Module 805 serves as the core implementation vehicle for career planning, embedding a set of digital tools. With the "Nursing Career Balance Wheel Assessment Tool" at its core, it guides nurses to complete self-assessment, gap analysis, and planning, enabling proactive and visualized career planning. It can help nurses with different personalities complete career planning, improving the accuracy of nurses' career planning.

[0124] The operation process of the nurse career planning device in this embodiment is specifically described above. Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 The steps S101 to S105, S201 to S203, S301 and S302, S401 to S403, S501 to S503, S601 to S603, and S701 to S704 in the nurse career planning method are not described in detail here.

[0125] In some embodiments, specifically, a software system integrating data acquisition, intelligent analysis, tool guidance, and visual interaction is constructed. The system mainly includes the following modules:

[0126] Nursing profession database: used to store nurses' basic information, educational background, department rotation records, professional skills certification, research achievements, performance appraisal data and occupational burnout scale scores, and other multi-dimensional attribute data.

[0127] Login and Information Collection Module: Nurses log in using their hospital employee ID and other unified identity authentication methods, and complete information such as personality color test questionnaires and career value assessments.

[0128] Hospital Data Access and Authorization Module: Obtains authorized nurses' clinical and professional data from the Hospital Information System (HIS), Human Resources System (HRP), and Scientific Research Management System through secure interfaces, and synchronizes it to the database.

[0129] Multidimensional Analysis Module: Provides comprehensive analysis of all nurses' data. Its core components include:

[0130] Personality Color Analysis Unit: Based on the four-color model of red, blue, yellow, and green, this unit analyzes the nurses' dominant personality color, behavioral tendencies, and potential roles within the nursing team.

[0131] Clinical Skills Profiling Unit: Analyzing nurses' hard and soft skills.

[0132] Occupational Motivation and Risk Unit: Using data such as burnout scales, assess job stability and intrinsic motivation for development.

[0133] Planning Tool Engine Module: This module embeds a series of digital career planning tools to guide nurses in in-depth thinking and proactive planning. Nursing Career Balance Wheel Assessment Tool: Using a visual wheel format, this tool guides nurses to rate their satisfaction across eight dimensions, including "Clinical Skills" and "Management and Teaching," automatically generating a balance chart. Nursing Career SWOT Analysis Tool: Based on multidimensional analysis results, the system pre-fills some of the nurse's strengths (S), weaknesses (W), opportunities (O), and threats (T), which nurses can modify and supplement under guidance. Nursing Goal SMART Decomposition Tool: This tool guides nurses to decompose long-term goals (such as "becoming a specialist nurse") into medium-term goals and short-term action plans that conform to the SMART principle.

[0134] The career path generation and visualization module includes a personalized color interface and an interactive development path map. The personalized color interface: The main color scheme of the system interface and reports dynamically changes based on the nurse's dominant personality. The interactive development path map: Based on all analysis results, it intelligently matches and generates recommended paths (such as clinical expert, management, and teaching paths) from the built-in nursing career development path library, which nurses can interactively adjust.

[0135] Action Plan and Tracking Module: Transforms short-term action plans into task lists, integrates them into the system calendar and reminder functions, and supports regular planning reviews to form a continuous improvement loop.

[0136] The system operation method includes the following steps: S1: Login and information collection; S2: Hospital data access and integration; S3: Multidimensional data analysis and report generation; S4: Guided use of planning tools (balancing wheel → SWOT analysis → SMART goal decomposition); S5: Generation and visualization of recommended career paths; S6: User interaction adjustment and confirmation; S7: Action plan tracking and regular review.

[0137] Another embodiment of the present invention discloses a control device for a nurse career planning apparatus, comprising: at least one processor, and a memory communicatively connected to the at least one processor. The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to perform actions such as... Figure 1 Control method steps S101 to S105 Figure 2 Control method steps S201 to S203 Figure 3 Control method steps S301 and S302 Figure 4 Control method steps S401 to S403 Figure 5 Control method steps S501 to S503 Figure 6 The control method steps S601 to S603 and Figure 7 The control method steps S701 to S704 are the nurse career planning methods.

[0138] Another embodiment of the present invention discloses a computer-readable storage medium, the storage medium comprising: storing computer-executable instructions for causing a computer to perform... Figure 1 Control method steps S101 to S105 Figure 2 Control method steps S201 to S203 Figure 3 Control method steps S301 and S302 Figure 4 Control method steps S401 to S403 Figure 5 Control method steps S501 to S503 Figure 6 The control method steps S601 to S603 and Figure 7 The control method steps S701 to S704 are the nurse career planning methods.

[0139] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0140] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0141] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments, and various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention. Furthermore, the embodiments of the present invention and the features thereof can be combined with each other unless otherwise specified.

Claims

1. A career planning method for nurses based on a personality color model, characterized in that, include: Collect basic information data from nurses; The basic information data is input into a pre-built personality analysis model for personality analysis to obtain target personality data; Based on the basic information data and the target personality data, a skill profile is constructed to obtain the target skill profile; Based on the basic information data, the target personality data, and the target skill profile, a dynamic risk assessment is conducted to obtain the risk assessment results. Career planning is conducted based on the target personality data, the target skill profile, and the risk assessment results to obtain career planning results.

2. The nurse career planning method according to claim 1, characterized in that, The basic information data collected from nurses includes: Construct a four-color feature database corresponding to nursing scenarios; Design testing tools for nursing scenarios based on the four-color feature database; After the nurse completes the filling in of the testing tool, the data filled in on the testing tool is collected to obtain the basic information data.

3. The nurse career planning method according to claim 2, characterized in that, The construction of the four-color feature database corresponding to the nursing scenario includes: The core traits of the four-color personality are transformed into behavioral indicators in nursing work, resulting in a four-color feature mapping. A relational database is constructed based on the four-color feature mapping to obtain the four-color feature database.

4. The nurse career planning method according to claim 2, characterized in that, The target personality data includes a personality color analysis report and target career suggestions. The process of inputting the basic information data into a pre-built personality analysis model for personality analysis to obtain the target personality data includes: Based on the standardized data in the four-color feature database, feature matching and weighted calculation are performed to obtain the standardized score corresponding to the personality color; The dominant and secondary colors of the basic information data are determined based on the standardized scores to obtain the personality color analysis report; wherein, the personality color analysis report includes the target dominant color and the target behavioral tendency; Based on the target's dominant color and behavioral tendencies, role matching is performed to obtain career suggestions for the target.

5. The nurse career planning method according to claim 1, characterized in that, The risk assessment is performed based on the basic information data, the target personality data, and the target skill profile to obtain the risk assessment results, including: A nursing scenario-based dynamic and risk indicator database is constructed based on the aforementioned basic information data; Based on the aforementioned power and risk indicator library, power and risk data are collected and preprocessed; Based on the aforementioned motivation and risk data, target personality data, and target skill profile, core calculations and interconnected analyses are performed to obtain the risk assessment results.

6. The nurse career planning method according to claim 5, characterized in that, The risk assessment results include target motivation and risk scores. The core calculations and interconnected analyses based on the motivation and risk data, the target personality data, and the target skill profile yield the risk assessment results, including: Calculate the overall score of power and risk based on the aforementioned power and risk data; Calculate the motivation and risk correction parameters based on the target personality data and the target skill profile; The combined power and risk score is corrected based on the power and risk correction parameters to obtain the target power and risk score.

7. The nurse career planning method according to claim 1, characterized in that, The process of conducting career planning based on the target personality data, the target skill profile, and the risk assessment results to obtain career planning results includes: Construct a basic planning database corresponding to nursing scenarios; wherein, the basic planning database includes a nursing career path database, a career balance wheel index database, and an executable task database; The target personality data, the target skill profile, and the risk assessment results are standardized to obtain the planning base dataset. A list of career paths is obtained by performing a weighted matching based on the planning dataset and the nursing career path database. After constructing the career balance wheel based on the career path list, the career balance wheel indicator library, and the executable task library, the career planning results are obtained by breaking down the goals into stages.

8. A career planning device for nurses based on a personality color model, characterized in that, include: The data acquisition module is used to collect basic information data from nurses. The personality analysis module is used to input the basic information data into a pre-built personality analysis model to perform personality analysis and obtain target personality data. The skill profile construction module is used to construct a skill profile based on the basic information data and the target personality data to obtain a target skill profile. The risk assessment module is used to perform a dynamic risk assessment based on the basic information data, the target personality data, and the target skill profile, and to obtain the risk assessment result. The career planning generation module is used to conduct career planning based on the target personality data, the target skill profile, and the risk assessment results, and obtain career planning results.

9. A control device for a nurse career planning apparatus, characterized in that, include: At least one processor, and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the nurse career planning method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for causing a computer to perform the nurse career planning method as described in any one of claims 1 to 7.

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