CN112837774A - Intelligent assessment method for home-based care service for aged people - Google Patents
Intelligent assessment method for home-based care service for aged people Download PDFInfo
- Publication number
- CN112837774A CN112837774A CN202110177707.XA CN202110177707A CN112837774A CN 112837774 A CN112837774 A CN 112837774A CN 202110177707 A CN202110177707 A CN 202110177707A CN 112837774 A CN112837774 A CN 112837774A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- care
- client
- home
- service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Business, Economics & Management (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- General Business, Economics & Management (AREA)
- Biomedical Technology (AREA)
- Tourism & Hospitality (AREA)
- Pathology (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Data Mining & Analysis (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- Databases & Information Systems (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses an intelligent evaluation method for home-based care service for the aged, and relates to the technical field of care service for the aged. The invention includes S01, the client makes platform reservation service; s02, assigning professional evaluators for home evaluation; s03, starting evaluation, and obtaining the content of each evaluation form through inquiry, palpation and small test and inputting the content to the handheld terminal; s04, automatically calculating a customer care grade, a customer image, a health risk, a life service recommendation, a medical care recommendation, a rehabilitation training recommendation, a recommendation of articles required for care and an aging adaptation transformation scheme by a system platform according to submitted evaluation data by using a platform algorithm, establishing a set of knowledge base in a company by continuous self-learning of the system platform, and providing early warning suggestions for the occurrence of the health risk of the customer through big data analysis; and S05, recommending and generating a final evaluation report and sending the final evaluation report to a client to obtain an electronic report. The system and the method can accurately and efficiently formulate a scheme and a plan for home-based care of the client, provide accurate and efficient service recommendation and a report of physical health conditions, and enable the client to better understand and know the related home-based care service scheme.
Description
Technical Field
The invention belongs to the technical field of endowment services, and particularly relates to an intelligent evaluation method for home-based endowment nursing services.
Background
According to the research on the aged market and the development trend of the Chinese population of 2019-2025, according to the international traffic division standard, when the proportion of the population of 65 years old or more in a country or a region exceeds 7 percent, the aging is realized; the aging rate reaches 14 percent, which is the deep aging; if the content exceeds 20%, the people enter a super-aging society. As can be seen from the second graph, at present, China enters an aging stage, the population proportion of the aged 65 years old and older in China reaches 11.70% in 2020, the people are going to deeply age, and the population proportion of the aged 65 years old and older in China is estimated to exceed 20% in 2040 years old and older, and the people enter a super-aging society.
The existing home care market is large in scale, wide in geographical range and dispersed in service, and can not realize uniform care and uniform management similar to care institutions; on the other hand, according to relevant data statistics, the requirements of 1300 million employees on the aged care nursing staff in the Chinese aged care industry are less than 30 million, so the development of the aged care industry is more limited, and the aged care requirements of a plurality of old people cannot be met.
For the existing endowment mode, the service coverage of an offline endowment hospital or an offline entity endowment service institution in a small-range service coverage is mostly adopted, and for the mode of integrating resources online and dispatching orders for service, the existing technical scheme is not more mature due to the problems of the whole service flow and the difficulty of supervision and evaluation. Therefore, based on the problems, the intelligent evaluation method for the home care and old care service is of great significance.
Disclosure of Invention
The invention provides an intelligent assessment method for home-based care service for the aged, which solves the problems.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention discloses an intelligent evaluation method for home care service, which comprises the following steps:
s01, the client reserves service to the home-based care service system platform through offline or online route;
s02, after knowing the physical condition of the client through the caller, the service personnel create an assessment order through the intelligent assessment system and assign professional assessment personnel to carry the articles to be assessed for home assessment; specifically, the customer calls the call first: roughly knowing the physical condition of the customer and explaining to the customer the significance of the assessment is the work that needs to be done in order to provide the best solution suitable for the customer's care; determining the time of a client, and recommending the old people with age of 80 years or more to have family members for better evaluation; for more comprehensive evaluation of customers, the customers are asked to prepare medical record cards and medicine packages for recent discharge and frequent use;
s03, using a handheld terminal connected with the intelligent evaluation system by an evaluator, starting evaluation by clicking on the intelligent evaluation system, obtaining the content of each evaluation form through inquiry, palpation and small test, and inputting the content into the handheld terminal; the specific assessment personnel receive the assessment work order, prepare the articles (such as tape measure, pain assessment scale, pressure sore assessment scale, IPAD, measurement value conversion table and the like) required during assessment, and then go to the home for assessment service within the appointed time range; using the IPAD by an evaluator, operating a corresponding evaluation worksheet, clicking to start evaluation, and obtaining the content of each evaluation form through inquiry, visual inspection, palpation and small tests;
s04, automatically calculating the care grade of the client, the image of the client, the health risk, the life service recommendation and the medical care recommendation by the system platform according to the submitted evaluation data by utilizing a platform algorithm; the method comprises the following steps that rehabilitation training is recommended, items needed for care are recommended, and an aging modification scheme is suitable, meanwhile, a system platform establishes a set of knowledge bases in a company through continuous self learning, and early warning suggestions are provided for the occurrence of health risks of customers through big data analysis;
s05, generating a final evaluation report after the evaluation personnel give family suggestions, and printing the final evaluation report to a client; and the client two-dimensional code is also supported to be sent, and the electronic report is checked by inputting the last four digits of the identity card.
Further, the nursing grade is obtained by the ADL scale score and the mental state and social participation capacity scale score, and the client physical condition is marked as result 1; the ADL scale scores and the perception and communication capacity scale scores to obtain the physical condition of the client, and the client is marked as a result 2; and comparing the result 1 with the result 2, marking the obtained maximum data as a result 3, and comparing the result with the score of the senile syndrome suffering condition scale to obtain the final care grade, wherein the grade is divided into 'intact ability', 'I-grade mild disability', 'II-grade moderate disability', 'III-grade severe disability' and 'IV-grade extremely severe disability'.
Further, the client portrait is obtained by evaluating and capturing the sex, height, weight, waist circumference, oral cavity condition, tooth condition, breathing condition, eating condition, urination, defecation, sleeping condition and activity of the evaluation table.
Further, the health risk is whether the weight is normal or not judged by the BMI; the dysphagia risk is judged according to the swallowing and chewing conditions; judging the condition of impaired living activity ability by scoring through an ADL scale; judging the damage condition of the sensory perception and the communication ability through the scores of the sensory perception and communication ability scale; judging whether the mental state and the social participation ability are damaged, whether attacks exist, compulsive behaviors exist and whether depression symptoms exist through the mental state and social participation ability scale score; judging the falling or falling risk degree according to the falling risk assessment scale score; and obtaining the degree of the pressure sore risk through a pressure sore risk assessment scale.
Compared with the prior art, the invention has the following beneficial effects:
according to the intelligent evaluation method for the home-based care service, the evaluation data of the relevant body health data and the environmental data of the client can be acquired, and the platform algorithm is utilized to automatically calculate the care grade, the client figure, the health risk, the life service recommendation, the medical care recommendation, the rehabilitation training recommendation, the care required article recommendation and the aging adaptation transformation scheme of the client; the scheme and the plan of the home-based care for the aged can be accurately and efficiently formulated, meanwhile, the system platform establishes a set of knowledge bases inside a company through continuous self learning, early warning suggestions are provided for the occurrence of the health risks of the customers through big data analysis, accurate and efficient service recommendation and body health condition reports are given, and the customers can better understand and know the related home-based care service scheme.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flowchart illustrating a method for intelligently evaluating home care services according to the present invention;
FIG. 2 is a flowchart illustrating steps of a process embodying the present invention based on FIG. 1;
fig. 3 is an operation topological diagram of the intelligent evaluation system corresponding to the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Before providing home care services including long-term care services, home services, rehabilitation services and hospitalization services, a professional assessment teacher can perform comprehensive assessment for clients. Firstly, the client is comprehensively evaluated from the dimensions of basic information, past medical history, daily life capacity, mental condition and social participation capacity, sensory perception and communication capacity, senile syndrome suffering, physical condition, falling risk, home safety inspection and the like of the client. Furthermore, the invention relates to rules and logic for generating evaluation reports; the method comprises the following specific steps:
referring to fig. 1-3, the intelligent evaluation method for home care services according to the present invention includes the following steps:
s01, the client reserves service to the home-based care service system platform through offline or online route;
s02, after knowing the physical condition of the client through the caller, the service personnel create an assessment order through the intelligent assessment system and assign professional assessment personnel to carry the articles to be assessed for home assessment; specifically, the customer calls the call first: roughly knowing the physical condition of the customer and explaining to the customer the significance of the assessment is the work that needs to be done in order to provide the best solution suitable for the customer's care; determining the time of a client, and recommending the old people with age of 80 years or more to have family members for better evaluation; for more comprehensive evaluation of customers, the customers are asked to prepare medical record cards and medicine packages for recent discharge and frequent use;
s03, using a handheld terminal connected with the intelligent evaluation system by an evaluator, starting evaluation by clicking on the intelligent evaluation system, obtaining the content of each evaluation form through inquiry, palpation and small test, and inputting the content into the handheld terminal; the specific assessment personnel receive the assessment work order, prepare the articles (such as tape measure, pain assessment scale, pressure sore assessment scale, IPAD, measurement value conversion table and the like) required during assessment, and then go to the home for assessment service within the appointed time range; using the IPAD by an evaluator, operating a corresponding evaluation worksheet, clicking to start evaluation, and obtaining the content of each evaluation form through inquiry, visual inspection, palpation and small tests;
s04, automatically calculating the care grade of the client, the image of the client, the health risk, the life service recommendation and the medical care recommendation by the system platform according to the submitted evaluation data by utilizing a platform algorithm; the method comprises the following steps that rehabilitation training is recommended, items needed for care are recommended, and an aging modification scheme is suitable, meanwhile, a system platform establishes a set of knowledge bases in a company through continuous self learning, and early warning suggestions are provided for the occurrence of health risks of customers through big data analysis;
s05, generating a final evaluation report after the evaluation personnel give family suggestions, and printing the final evaluation report to a client; and the client two-dimensional code is also supported to be sent, and the electronic report is checked by inputting the last four digits of the identity card.
Wherein, step S04 specifically includes:
(1) nursing grade: obtaining the physical condition (namely a result 1) of a client through the score of an ADL (advanced digital hierarchy) scale and the score of a mental state and social participation ability scale, obtaining the physical condition (namely a result 2) of the client through the score of the ADL scale and the score of an perceptual and communication ability scale, obtaining the maximum data (namely a result 3) by comparing the result 1 with the result 2, and obtaining the final nursing grade by comparing the final nursing grade with the score of the senile syndrome suffering condition scale, wherein the grades are divided into 'ability', 'I-grade mild disability', 'II-grade moderate disability', 'III-grade severe disability', 'IV-grade extreme severe disability';
(2) customer portrait: through evaluation, the sex, the height, the weight, the waist circumference, the oral cavity condition, the tooth condition, the breathing condition, the eating state, the urination, the defecation, the sleeping condition and the activity of the evaluation table are captured, so that a basic image of a client is obtained;
(3) health risks: judging whether the weight is normal or not through the BMI; the dysphagia risk is judged according to the swallowing and chewing conditions; judging the condition of impaired living activity ability by scoring through an ADL scale; judging the damage condition of the sensory perception and the communication ability through the scores of the sensory perception and communication ability scale; judging whether the mental state and the social participation ability are damaged, whether attacks exist, compulsive behaviors exist and whether depression symptoms exist through the mental state and social participation ability scale score; judging the falling or falling risk degree according to the falling risk assessment scale score; obtaining the degree of the pressure sore risk through a pressure sore risk assessment scale;
(4) the physical symptoms of the client: through evaluation, relevant information such as skin condition, joint mobility, limb dysfunction and the like of a client is captured;
(5) the past medical history of the client: capturing the past medical history and the medicine condition in the evaluation information, and giving out the attention;
(6) sensory perception and communication ability: grasping the information of a [ sensory perception and communication ability ] scale in the evaluation information;
(7) daily life activity conditions: grabbing [ ADL ] scale information in the evaluation information;
(8) mental state and social engagement capacity: capturing the (mental state and social participation ability) scale information in the evaluation information;
(9) recommending the life service: according to the client pain points obtained through evaluation, a corresponding life service plan is given, and evaluators can modify and adjust the automatically generated life service plan according to the actual situation of the client so as to be more suitable for the actual situation of the client;
(10) and (4) recommending medical care: according to the client pain points obtained by evaluation, a corresponding medical care plan is given, and evaluators can modify and adjust the automatically generated medical care plan according to the actual situation of the client so as to better fit the actual situation of the client;
(11) and (4) recommendation of rehabilitation training: according to the client pain points obtained by evaluation, a corresponding rehabilitation training plan is given, and evaluators can modify and adjust the automatically generated rehabilitation training plan according to the actual conditions of the clients so as to better fit the actual conditions of the clients;
(12) recommended items for care: automatically giving suitable client articles (such as accessories, diapers and the like) according to the physical condition of the client through overall evaluation;
(13) the aging adaptation and transformation scheme comprises the following steps: from dimensions such as living area, bathroom, bedroom, kitchen, elevator, assess the customer environment at home, give reasonable transformation suggestion, better guarantee customer safety.
Has the advantages that:
according to the intelligent evaluation method for the home-based care service, the evaluation data of the relevant body health data and the environmental data of the client can be acquired, and the platform algorithm is utilized to automatically calculate the care grade, the client figure, the health risk, the life service recommendation, the medical care recommendation, the rehabilitation training recommendation, the care required article recommendation and the aging adaptation transformation scheme of the client; the scheme and the plan of the home-based care for the aged can be accurately and efficiently formulated, meanwhile, the system platform establishes a set of knowledge bases inside a company through continuous self learning, early warning suggestions are provided for the occurrence of the health risks of the customers through big data analysis, accurate and efficient service recommendation and body health condition reports are given, and the customers can better understand and know the related home-based care service scheme.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. An intelligent evaluation method for home care services is characterized by comprising the following steps:
s01, the client reserves service to the home-based care service system platform through offline or online route;
s02, after knowing the physical condition of the client through the caller, the service personnel create an assessment order through the intelligent assessment system and assign professional assessment personnel to carry the articles to be assessed for home assessment;
s03, using a handheld terminal connected with the intelligent evaluation system by an evaluator, starting evaluation by clicking on the intelligent evaluation system, obtaining the content of each evaluation form through inquiry, palpation and small test, and inputting the content into the handheld terminal;
s04, automatically calculating the care grade of the client, the image of the client, the health risk, the life service recommendation and the medical care recommendation by the system platform according to the submitted evaluation data by utilizing a platform algorithm; the method comprises the following steps that rehabilitation training is recommended, items needed for care are recommended, and an aging modification scheme is suitable, meanwhile, a system platform establishes a set of knowledge bases in a company through continuous self learning, and early warning suggestions are provided for the occurrence of health risks of customers through big data analysis;
and S05, generating a final evaluation report after the evaluators give the family suggestions, and sending the final evaluation report to the client to obtain the electronic report.
2. The intelligent assessment method for home care and old age nursing service according to claim 1, wherein said nursing grade is the client's physical condition obtained by the ADL scale score and the mental state and social participation ability scale score, and is labeled as result 1; the ADL scale scores and the perception and communication capacity scale scores to obtain the physical condition of the client, and the client is marked as a result 2; and comparing the result 1 with the result 2, marking the obtained maximum data as a result 3, and comparing the result with the score of the senile syndrome suffering condition scale to obtain the final care grade, wherein the grade is divided into 'intact ability', 'I-grade mild disability', 'II-grade moderate disability', 'III-grade severe disability' and 'IV-grade extremely severe disability'.
3. The intelligent evaluation method for home-based nursing care services according to claim 1, wherein the customer portrait is a basic portrait obtained by evaluating and capturing gender, height, weight, waist circumference, oral cavity condition, teeth condition, respiration condition, eating condition, urination, defecation, sleep condition, and mobility of an evaluation form.
4. The intelligent assessment method for home care and old people care services according to claim 1, wherein the health risk is whether the weight is normal or not judged by BMI (weight/height squared); the dysphagia risk is judged according to the swallowing and chewing conditions; judging the condition of impaired living activity ability by scoring through an ADL scale; judging the damage condition of the sensory perception and the communication ability through the scores of the sensory perception and communication ability scale; judging whether the mental state and the social participation ability are damaged, whether attacks exist, compulsive behaviors exist and whether depression symptoms exist through the mental state and social participation ability scale score; judging the falling or falling risk degree according to the falling risk assessment scale score; and obtaining the degree of the pressure sore risk through a pressure sore risk assessment scale.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110177707.XA CN112837774A (en) | 2021-02-09 | 2021-02-09 | Intelligent assessment method for home-based care service for aged people |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110177707.XA CN112837774A (en) | 2021-02-09 | 2021-02-09 | Intelligent assessment method for home-based care service for aged people |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112837774A true CN112837774A (en) | 2021-05-25 |
Family
ID=75933088
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110177707.XA Pending CN112837774A (en) | 2021-02-09 | 2021-02-09 | Intelligent assessment method for home-based care service for aged people |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112837774A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113205887A (en) * | 2021-05-28 | 2021-08-03 | 武汉玖燊科技有限公司 | Big data and artificial intelligence based intelligent aged-care user full-period tracking analysis method, system and storage medium |
| CN113221012A (en) * | 2021-05-31 | 2021-08-06 | 北京海纳数聚科技有限公司 | Community fitness activity recommendation method based on group portrait |
| CN114117238A (en) * | 2021-12-09 | 2022-03-01 | 福寿康(上海)医疗养老服务有限公司 | Intelligent caregiver recommendation scheduling system |
| CN114202772A (en) * | 2021-12-07 | 2022-03-18 | 沈阳海昊大数据科技有限公司 | Reference information generation system and method based on artificial intelligence and intelligent medical treatment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100063944A1 (en) * | 2004-12-22 | 2010-03-11 | Troy Grogan | System and method for integrated health promotion, injury prevention and management |
| CN106169031A (en) * | 2016-08-03 | 2016-11-30 | 董碧蓉 | Old people's medical health based on high in the clouds assessment system and method |
| CN107945874A (en) * | 2017-11-15 | 2018-04-20 | 北京军秀咨询有限公司 | A kind of senior health and fitness's evaluation system based on internet |
| CN108335753A (en) * | 2018-02-23 | 2018-07-27 | 清檬养老服务有限公司 | It is a kind of based on portrait label the elderly look after needs assessments and method |
-
2021
- 2021-02-09 CN CN202110177707.XA patent/CN112837774A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100063944A1 (en) * | 2004-12-22 | 2010-03-11 | Troy Grogan | System and method for integrated health promotion, injury prevention and management |
| CN106169031A (en) * | 2016-08-03 | 2016-11-30 | 董碧蓉 | Old people's medical health based on high in the clouds assessment system and method |
| CN107945874A (en) * | 2017-11-15 | 2018-04-20 | 北京军秀咨询有限公司 | A kind of senior health and fitness's evaluation system based on internet |
| CN108335753A (en) * | 2018-02-23 | 2018-07-27 | 清檬养老服务有限公司 | It is a kind of based on portrait label the elderly look after needs assessments and method |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113205887A (en) * | 2021-05-28 | 2021-08-03 | 武汉玖燊科技有限公司 | Big data and artificial intelligence based intelligent aged-care user full-period tracking analysis method, system and storage medium |
| CN113221012A (en) * | 2021-05-31 | 2021-08-06 | 北京海纳数聚科技有限公司 | Community fitness activity recommendation method based on group portrait |
| CN114202772A (en) * | 2021-12-07 | 2022-03-18 | 沈阳海昊大数据科技有限公司 | Reference information generation system and method based on artificial intelligence and intelligent medical treatment |
| CN114117238A (en) * | 2021-12-09 | 2022-03-01 | 福寿康(上海)医疗养老服务有限公司 | Intelligent caregiver recommendation scheduling system |
| CN114117238B (en) * | 2021-12-09 | 2023-08-29 | 福寿康(上海)医疗养老服务有限公司 | Intelligent recommendation scheduling system for nursing staff |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112837774A (en) | Intelligent assessment method for home-based care service for aged people | |
| Führer et al. | Pressure ulcers in community-resident persons with spinal cord injury: prevalence and risk factors | |
| Weinstein et al. | Audiometric correlates of the hearing handicap inventory for the elderly | |
| Kimerling et al. | Somatic symptoms, social support, and treatment seeking among sexual assault victims. | |
| Milner et al. | Prediction and explanation of child abuse: cross-validation of the child abuse potential inventory. | |
| Barnum et al. | Hope and social support in psychological adjustment of children who have survived burn injuries and their matched controls | |
| Appollonio et al. | Dental status, quality of life, and mortality in an older community population: a multivariate approach | |
| Revicki et al. | Work-related stress and psychological distress in emergency medical technicians. | |
| Hoppe et al. | Depression and anxiety among Mexican Americans in a family health center | |
| CN114098655B (en) | Intelligent sleep risk monitoring method and system | |
| Rose et al. | Assessment of anger in people with intellectual disabilities | |
| Thompson | An evaluation of the Waterlow pressure ulcer risk-assessment tool | |
| CN112614591A (en) | Method for screening, evaluating and intervening senile syndromes of aged patients in nursing home | |
| Alexy et al. | Rural mobile health unit: outcomes | |
| CN113744878A (en) | Chronic disease risk index assessment and intervention system based on mobile internet | |
| CN114883006A (en) | Health monitoring and dynamic management system based on big data and application | |
| Bruett et al. | A critical review of 12 ADL scales | |
| CN115662631A (en) | AI intelligence discrimination-based nursing home management system | |
| McGuire et al. | Simulated malingering in pain patients: A study with the Pain Patient Profile | |
| Escalante et al. | Walking velocity in aged persons: its association with lower extremity joint range of motion | |
| Lal et al. | OVERAGE AND QUALITY OF MATERNAL AND CHILD HEALTH SERVICES AT SUBCENTRE LEVEL | |
| Cropper et al. | The social costs of chronic heart and lung disease | |
| Shahar et al. | Development of a screening tool for detecting undernutrition and dietary inadequacy among rural elderly in Malaysia: simple indices to identify individuals at high risk | |
| Wilson et al. | Self-evaluation, coping, and depressive affect in African American adults with sickle cell disease | |
| Egan et al. | Activities of daily living after hip fracture: Pre-and post discharge |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210525 |
|
| RJ01 | Rejection of invention patent application after publication |