An early identification and integrated intervention system for social frailty of hospitalized elderly
Patent Information
- Application Number
- CN202611002626.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-07
- Publication Date
- 2026-10-09
AI Technical Summary
[0004]整体而言,市场上缺乏一款集双维度动态早期识别、精细化差异化评分、智能化分级研判、靶向化干预方案生成于一体的整合式衰弱管理系统,无法满足现阶段住院老人衰弱早识别、早分级、早干预的行业发展需求,制约老年住院护理服务高质量发展,为此现提出一种解决方案
创新性的构建入院初始评分+住院阶段性动态评分的双重评分体系,依托成熟的HALFT社会衰弱量表完成基础评分标定,既保留成熟量表评估权威性,又通过周期性阶段性评分,全程追踪老人住院全过程衰弱状态的细微变化,规避静态单次评估带来的滞后性、片面性问题;
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Figure CN122889368A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of social frailty identification in the elderly, specifically a system for early identification and graded integrated intervention of social frailty in hospitalized elderly. Background Technology
[0002] Considering the current health characteristics of the elderly population, the coexistence of multiple diseases and long-term living with illness are the norm for hospitalized elderly patients. Compared with elderly people living at home in the community, hospitalized elderly people are affected by multiple factors such as disease, closed hospital environment, lack of social interaction, and decline in physiological function. Their incidence of frailty is much higher than that of the general elderly population, and the frailty process is characterized by suddenness, progressiveness, and irreversibility.
[0003] Frailty is a typical geriatric syndrome, encompassing multiple dimensions such as physical frailty, psychological frailty, and social frailty. Social frailty mainly refers to the decline in the social participation capacity, lack of social resources, and broken social connections of the elderly. This problem not only exacerbates the decline in physical function and induces negative psychological emotions in the elderly, but also significantly increases the risk of falls, disability, readmission, and even death. It has become a public health challenge that urgently needs to be addressed in the field of geriatric medical care.
[0004] Overall, the market lacks an integrated frailty management system that combines dual-dimensional dynamic early identification, refined differentiated scoring, intelligent hierarchical assessment, and targeted intervention program generation. This system cannot meet the current industry development needs for early identification, early classification, and early intervention of frailty in hospitalized elderly, thus hindering the high-quality development of elderly hospitalization nursing services. Therefore, a solution is proposed. Summary of the Invention
[0005] The purpose of this invention is to solve the problems mentioned above by proposing an early identification and graded integrated intervention system for social frailty in hospitalized elderly people.
[0006] The objective of this invention can be achieved through the following technical solution: an early identification and graded integrated intervention system for social frailty in hospitalized elderly people, including an early identification platform; The early identification platform performs multi-dimensional analysis on hospitalized elderly people. It sets a basic score for hospitalized elderly people upon admission and conducts phased score statistics through multi-dimensional analysis for early identification. The dimensions selected for early identification are divided into social and physical dimensions. The basic score is matched with the total score of the hospitalized elderly people's HALFT social frailty scale. The early identification platform also includes a tiered assessment unit, which combines the basic score to conduct a tiered assessment of hospitalized elderly patients.
[0007] Furthermore, the early identification platform also includes a social dimension identification unit, used to identify frailty in the elderly from a social dimension; The social dimension identification unit collects the ratio of the frequency of social interaction with family members to the frequency of social interaction with non-family members during the hospitalization period of the elderly. If the ratio of the frequency of social interaction with family members to the frequency of social interaction with non-family members is within the set frequency ratio range, the social dimension score of the current elderly patient is set to a downward trend. If the ratio of the frequency of social interaction with family members to the frequency of social interaction with non-family members is not within the set frequency ratio range, the social dimension score of the current hospitalized elderly person will be set to a constant trend until the frequency ratio leaves the set frequency ratio range.
[0008] Furthermore, a standard value for the numerical ratio is determined based on the set frequency ratio range. When the social dimension score is set to a downward trend: If the set frequency value ratio is higher than the standard value of the value ratio, it is inferred that the elderly are socially polarized, and a threshold for the decrease of the social dimension score is set as the unit of decrease; If the set frequency value is lower than the standard value of the value ratio, it is inferred that the frequency of non-family social interactions of the elderly is increasing, and the unit of decrease is 0.5 times the threshold value of the decrease in the social dimension score.
[0009] Furthermore, the early identification platform also includes a body dimension identification unit for identifying frailty in the elderly based on body dimensions; The body dimension recognition unit obtains the average exercise distance of the hospitalized elderly before and after admission, and calculates the rate of decrease of the average exercise distance by the difference. Simultaneously, the percentage of the average daily bed rest time of hospitalized elderly patients during their hospitalization period is obtained, and the rate of decrease of the percentage of the average daily bed rest time is recorded.
[0010] Furthermore, the rate of decrease of the average exercise distance and the rate of decrease of the percentage of average daily bed rest time are compared with the average rate of decrease threshold and the percentage rate of decrease threshold, respectively: If the rate of decrease of the average exercise distance exceeds the threshold of the rate of decrease of the average distance, and the rate of decrease of the percentage of average daily bed rest time exceeds the threshold of the rate of decrease of the percentage, then a threshold for the decrease of the body dimension score is set and used as the unit of decrease, and the score of the basic score is reduced. If only one of the following occurs: the rate of decrease of the average exercise distance exceeds the threshold for the rate of decrease of the average distance and the rate of decrease of the percentage of average daily bed rest exceeds the threshold for the rate of decrease of the percentage, then the base score will be reduced by 0.5 times the threshold for the decrease of the body dimension score.
[0011] Furthermore, the graded assessment unit sets a scoring threshold and a scoring rate threshold, obtains the rate at which the interval between the baseline score of the hospitalized elderly and the scoring threshold decreases, and simultaneously collects the average deviation between the rate of decrease of the baseline score of the hospitalized elderly and the rate of decrease threshold at each time point.
[0012] Furthermore, the interval reduction rate and the average deviation at each time point are compared with the interval reduction rate threshold and the average deviation threshold, respectively: If the rate of decrease of the interval value exceeds the threshold of the rate of decrease of the interval value, or if the average deviation at each time exceeds the threshold of the average deviation, then the current hospitalized elderly person is set to the intervention level, and the information of the hospitalized elderly person is extracted to formulate an intervention plan. If the rate of decrease of the interval value does not exceed the threshold of the rate of decrease of the interval value, and the average deviation at each time point exceeds the threshold of the average deviation, then the current hospitalized elderly person is set to the monitoring level, and the information of the hospitalized elderly person is extracted to determine the monitoring cycle.
[0013] Compared with the prior art, the beneficial effects of the present invention are: We innovatively construct a dual scoring system that combines initial admission score with dynamic scoring during hospitalization. The basic scoring is based on the mature HALFT Social Frailty Scale. This system retains the authority of the mature scale while tracking subtle changes in the frailty status of elderly patients throughout their hospitalization process through periodic and phased scoring, thus avoiding the problems of lag and bias caused by static single-assessment. Meanwhile, by combining the matching rules of the total score of the detailed scale with the basic score based on the inpatient department, the age of the elderly, and the underlying diseases, the standardized management mode of the scoring statistical cycle is optimized, the statistical standard of frailty scoring is unified throughout the hospital, and the data deviation caused by the artificial setting of the cycle is eliminated. This provides continuous, standardized, and accurate basic data support for subsequent special identification and hierarchical assessment of social and physical dimensions, thereby improving the accuracy of frailty identification of the overall system from the source, reducing the probability of missed or misjudged early frailty risks, and providing a standardized working basis for medical staff to carry out routine frailty screening.
[0014] The social dimension identification unit is equipped with a dynamic trend switching judgment mechanism, which monitors the state of the value ratio entering or leaving the set range in real time, and updates the scoring trend synchronously. This ensures that the scoring data is synchronized with the actual social status of the elderly in real time, realizing refined and stratified identification of social weakness. It helps medical staff accurately locate the causes of social weakness in the elderly, provides targeted data support for the development of social intervention programs, and addresses core issues such as social imbalance and broken social connections in hospitalized elderly.
[0015] The physical dimension recognition unit constructs a comprehensive judgment mechanism that links activity ability and bed rest inertia. It integrates two core indicators: the rate of decline in the average exercise distance and the rate of decline in the percentage of daily bed rest time. It assesses the level of physical frailty of the elderly from the dual perspectives of positive movement state and negative bed rest state, avoiding the assessment distortion problem caused by single indicator judgment, and comprehensively covering various manifestations of physical function decline. In addition, a differentiated scoring reduction mechanism for single and dual indicator abnormalities is set up. For high-risk frail elderly with simultaneous abnormalities in two indicators, the full threshold reduction is adopted, and for mild frail elderly with a single abnormal indicator, half threshold reduction is adopted. This clearly divides the severity levels of physical frailty, accurately quantifies the degree of deterioration of physical frailty in the elderly, helps medical staff quickly distinguish between physiological activity reduction and pathological physical frailty, reduces ineffective intervention behaviors, and optimizes physical rehabilitation and nursing plans. Attached Figure Description
[0016] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.
[0017] Figure 1 This is a system principle block diagram of the present invention. Detailed Implementation
[0018] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0019] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0020] Please see Figure 1 As shown, a system for early identification and tiered integrated intervention of social fragility in hospitalized elderly includes an early identification platform; The early identification platform conducts multi-dimensional analysis on hospitalized elderly people, sets a basic score for them upon admission, and performs phased score statistics through multi-dimensional analysis to enable early identification. The dimensions selected for early identification are divided into social and physical dimensions, and the baseline score is matched with the total score of the HALFT Social Fragility Scale for hospitalized elderly people. The social dimension identification unit identifies frailty in the elderly based on social dimensions. The ratio of family social frequency to non-family social frequency during the hospitalization period of the elderly is collected. If the ratio of family social frequency to non-family social frequency is within the set frequency ratio range, the social dimension score of the current elderly patient is set to a downward trend. If the ratio of family social frequency to non-family social frequency is not within the set frequency ratio range, the social dimension score of the current elderly patient is set to a constant trend until the frequency ratio leaves the set frequency ratio range. The standard value of the ratio is determined based on the set frequency ratio range, which is an empirical value of the same category as the threshold in the existing technology. When the set frequency ratio is much higher than the standard value, it is inferred that the social polarization of the elderly is determined, and a threshold for the decrease of the social dimension score is set as the unit of decrease. Specifically, it is a score set by humans. If the set frequency ratio is much lower than the standard value, it is inferred that the frequency of social interaction with non-family members of the elderly is increasing, and 0.5 times the threshold for the decrease of the social dimension score is used as the unit of decrease. The body dimension recognition unit identifies frailty in the elderly based on body dimensions. The mean exercise distance of elderly patients before and after admission to the hospital is obtained. The rate of decrease of the mean exercise distance is calculated by the difference. The exercise distance is represented by walking distance, jogging distance, etc. Simultaneously, the percentage of the average daily bed rest time for hospitalized elderly patients was obtained, and the rate of decrease in the percentage of the average daily bed rest time was recorded. The rate of decrease in the average exercise distance and the rate of decrease in the percentage of average daily bed rest time for elderly patients before and after admission were compared with the thresholds for the rate of decrease in the average and the percentage of bed rest time, respectively. If the average rate of decline in exercise distance for hospitalized elderly patients exceeds the threshold for the rate of decline in the corresponding duration before and after admission, and the percentage of average daily bed rest time exceeds the threshold for the rate of decline in the percentage, then a threshold for the decline in the physical dimension score is set and used as the unit of decline, and the base score is lowered. If the average rate of decline in exercise distance for hospitalized elderly patients exceeds the threshold for the rate of decline in the same period before and after admission, and the average daily bed rest time exceeds the threshold for the rate of decline in the percentage of ... The early identification platform also includes a tiered assessment unit; The tiered assessment unit combines basic scores to conduct tiered assessments of hospitalized elderly patients. Set a scoring threshold and a scoring rate threshold, obtain the rate at which the interval between the baseline score and the scoring threshold of hospitalized elderly patients narrows, and simultaneously collect the average deviation between the rate of decline of the baseline score and the rate of decline threshold at each time point. The rate at which the interval between the baseline score and the score threshold decreases, and the mean deviation of the rate of decrease of the baseline score from the threshold at each time point, are compared with the interval decrease rate threshold and the mean deviation threshold, respectively. If the rate at which the interval between the baseline score and the score threshold of an elderly hospitalized patient decreases exceeds the threshold for the rate at which the interval decreases, or if the mean deviation between the rate of decrease of the baseline score and the rate of decrease threshold at each time point exceeds the mean deviation threshold, then the current elderly hospitalized patient will be set to the intervention level, and information on the elderly hospitalized patient will be extracted to formulate an intervention plan. If the rate of decrease of the interval between the baseline score and the score threshold of the hospitalized elderly does not exceed the interval decrease rate threshold, and the average deviation of the rate of decrease of the baseline score of the hospitalized elderly from the rate of decrease threshold at each time exceeds the average deviation threshold, then the current hospitalized elderly will be set to the monitoring level, and the information of the hospitalized elderly will be extracted and a monitoring cycle will be determined. The tiered assessment unit automatically extracts basic information, frailty triggers, and scoring time-series data from the elderly, linking it with the analysis results from the two previous identification units to generate personalized intervention plans and dedicated monitoring cycles tailored to different types of frailty, including social frailty, physical frailty, and mixed frailty, replacing generic template solutions. This unit helps medical institutions accurately allocate medical and nursing resources, reduce resource consumption for low-risk groups, concentrate resources on managing high-risk frail elderly, effectively reduce the risk of disability and readmission among hospitalized elderly, alleviate the workload of medical staff, and improve the overall efficiency of frailty management.
[0021] In summary, this invention integrates multiple core functions, including multi-dimensional early identification, differentiated dynamic scoring, intelligent hierarchical assessment, and targeted integrated intervention, comprehensively addressing industry pain points such as the single dimension of traditional hospitalized elderly frailty management techniques, static and lagging assessment, low scoring accuracy, lack of hierarchical mechanisms, poor intervention adaptability, and insufficient threshold universality.
[0022] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims
1. A system for early identification and tiered integrated intervention of social frailty in hospitalized elderly people, characterized in that, Including early identification platforms; The early identification platform performs multi-dimensional analysis on hospitalized elderly patients. A basic score is set upon admission, and phased score statistics are performed through multi-dimensional analysis for early identification. The dimensions selected for early identification are divided into social and physical dimensions. The basic score is matched with the total score of the hospitalized elderly patient's HALFT Social Frailty Scale. The early identification platform is equipped with a graded assessment unit. The graded assessment unit combines the basic score to perform a graded assessment of the hospitalized elderly patient. The early identification platform includes a social dimension identification unit, which is used to identify frailty in the elderly based on social dimensions. The social dimension identification unit collects the ratio of the frequency of social interactions with family members to the frequency of social interactions with non-family members during the hospitalization period of the elderly patient. If the ratio of the frequency of social interactions with family members to the frequency of social interactions with non-family members is within a set frequency ratio range, the social dimension score of the current elderly patient is set to a downward trend; if the ratio of the frequency of social interactions with family members to the frequency of social interactions with non-family members is not within the set frequency ratio range, the social dimension score of the current elderly patient is set to a constant trend; until the frequency ratio leaves the set frequency ratio range.
2. The early identification and graded integrated intervention system for social frailty in hospitalized elderly patients according to claim 1, characterized in that, The standard value for the numerical ratio is determined based on the set frequency range; when the social dimension score is set to a downward trend: If the set frequency value ratio is higher than the standard value of the value ratio, it is inferred that the elderly are socially polarized, and a threshold for the decrease of the social dimension score is set as the unit of decrease; If the set frequency value is lower than the standard value of the value ratio, it is inferred that the frequency of non-family social interactions of the elderly is increasing, and the unit of decrease is 0.5 times the threshold value of the decrease in the social dimension score.
3. The early identification and graded integrated intervention system for social frailty in hospitalized elderly patients according to claim 1, characterized in that, The early identification platform includes a body dimension identification unit, which is used to identify frailty in the elderly based on body dimensions. The body dimension recognition unit obtains the average exercise distance of the hospitalized elderly before and after admission, and calculates the rate of decrease of the average exercise distance by the difference. Simultaneously, the percentage of the average daily bed rest time of hospitalized elderly patients during their hospitalization period is obtained, and the rate of decrease of the percentage of the average daily bed rest time is recorded.
4. The early identification and graded integrated intervention system for social frailty in hospitalized elderly patients according to claim 1, characterized in that, The rate of decrease in the average exercise distance and the rate of decrease in the percentage of average daily bed rest time were compared with the thresholds for the rate of decrease in the average and the rate of decrease in the percentage, respectively. If the rate of decrease of the average exercise distance exceeds the threshold for the rate of decrease of the average distance, and the rate of decrease of the percentage of average daily bed rest time exceeds the threshold for the rate of decrease of the percentage, then a threshold for the decrease of the body dimension score is set and used as the unit of decrease, and the score of the base score is reduced. If only one of the following occurs: the rate of decrease in the average exercise distance exceeds the threshold for the rate of decrease in the average distance, or the rate of decrease in the percentage of average daily bed rest time exceeds the threshold for the rate of decrease in the percentage, then the base score will be reduced by 0.5 times the threshold for the decrease in the physical dimension score.
5. The early identification and graded integrated intervention system for social frailty in hospitalized elderly patients according to claim 1, characterized in that, The graded assessment unit sets a scoring threshold and a scoring rate threshold, obtains the rate at which the interval between the baseline score of the hospitalized elderly and the scoring threshold decreases, and simultaneously collects the average deviation between the rate of decrease of the baseline score of the hospitalized elderly and the rate of decrease threshold at each time point.
6. The early identification and graded integrated intervention system for social frailty in hospitalized elderly patients according to claim 5, characterized in that, The interval reduction rate and the average deviation at each time point are compared with the interval reduction rate threshold and the average deviation threshold, respectively: If the rate of decrease of the interval value exceeds the threshold of the rate of decrease of the interval value, or if the average deviation at each time exceeds the threshold of the average deviation, then the current hospitalized elderly person is set to the intervention level, and the information of the hospitalized elderly person is extracted to formulate an intervention plan. If the rate of decrease of the interval value does not exceed the threshold of the rate of decrease of the interval value, and the average deviation at each time point exceeds the threshold of the average deviation, then the current hospitalized elderly person is set to the monitoring level, and the information of the hospitalized elderly person is extracted to determine the monitoring cycle.