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【2020 Application Example】 AI Silver Care Smart Platform

As Taiwan's elderly population gradually grows, more and more people require long-term care, but the supply side is never enough to support such a huge demand. In the past, a total of 110,000 caregivers were trained, but currently only about 20,000 are actually engaged in care work. According to estimates from the Ministry of Health and Welfare, long-term care 2.0 will require more than 30,000 care workers, indicating that there is still a large manpower gap to be filled. In addition, the turnover rate of nursing staff is also extremely high, which makes the situation even worse. This dilemma has caused the elderly who should have received proper differentiated care to be unable to be properly taken care of. In addition, it has also caused institutional operators to spend huge time costs on education and training, thus reducing the quality of care.

AI Silver Care Smart Platform

(1) Basic hospital management: basic settings, equipment settings, hospital authority role settings, staff management, face recognition, resident role management, fall risk assessment, and bedsore risk assessment.

(2) Bed management: bed management and bed status.

(3) Resident management: resident information (basic information, bed records, face recognition forms), resident case closure information.

(4) Message record: face recognition record, fall message record, electronic fence message record and blood glucose machine remote measurement result record.

On the upper right side are matters that need to be reminded of residents, such as quarterly assessments, new residents within 72 hours, care plans, rehabilitation plans, treatment plans and nutritional assessment plan personnel. The lower right is the resident search list and the newly added new resident block. The right is the assessment service plan reminder. Click to check which residents need to arrange time for the plan.

Machine and equipment settings: If new machines and equipment in the hospital need to be added, such as face recognition lenses, after clicking on the new device in the upper right corner, the corresponding device ID, field name, IP location, and device type can be set. After entering the status, account and password, the connection settings between the machine and the corresponding field can be completed.

Machine Equipment Settings

▲Machine and Equipment Settings

Permission settings: Add a permission button in the upper right corner. After clicking it, you can add a permission role and check the CHECKBOX corresponding to each major function. This function corresponds to hospital staff management, and you can create new hospital staff corresponding to permission roles. , in this way, the member's login account password will have member-exclusive functions appear in the left menu, achieving the purpose of authority control personnel.

Permission Settings

▲Permission settings

Bed Management: After clicking the Add Bed button, you can enter the corresponding field name (such as which building, regional classification name), dormitory name (A01) and bed number (01~06) fields, all beds in the hospital After the construction is completed, the beds will be available for residents to choose from.

Bed Management

▲Bed Management

Bed status: You can check whether the current bed is corresponding to the resident. If it is corresponding, you can also use the hospital bed to query the corresponding resident information. After clicking on the bed history record query, you can query the historical information of all beds occupied.

Bed Status

▲Bed status

Resident information list: When a new resident moves in, he or she can click the Add Resident button on the homepage to enter this page. After clicking the Add button, it will be divided into four major categories: basic information, emergency contact person, personal living conditions, and imported finances. to fill it in. After completion, press the save button to return to the resident list. Find the newly added resident and click on the case medical record function. In addition to the basic information above, there are four items of information that need to be completed for individual residents, such as resident photos and attachments. Information, meeting minutes and evaluation records.

You can upload three photos of residents, which can be used for face recognition and homepage profile pictures. The documents to be attached include a copy of the ID card, a household register or a copy of the household registration, a family tree, an ecological map, a low- and middle-income certificate, a disability handbook, a subsidy letter, photos of financial items, and other items. Minutes of the meeting are taken to assess the completion of the service plan items to be carried out. The evaluation form is to understand the residents in more detail. The information and analysis items need to be filled in. The system will draw conclusions based on the item analysis and provide the nurse with reference for the care plan.

Basic resident information

▲Basic information on residents

Information attached to the Resident Inspection:

Residential Inspection Attached Information
[Import Case] ​​AI Silver Care Smart Platform

▲Residential Inspection Attached Information

Fall assessment for new residents: One of the items in the assessment form is fall risk factor assessment. Fill in the questions in the field below, and the system will give a score to determine whether there is a risk assessment judgment. This is the current organization's early assessment of fall risk. Prevention mechanism

Service plan generated 1< /figure>

▲Service plan generated 1

▲Service plan generation 2

Smart reminder function: There is a reminder function in the lower right block of the homepage. For each resident every month or quarter, after calculation by the system, it will automatically remind nursing or social workers to fill in the form and complete the work required by the resident. .

Smart reminder portal< /figure>

▲Smart Reminder Entrance

Click on the check-in assessment link to enter the list of residents who need to fill in the information. Agency staff then fill in the information according to their nursing or social worker status. After completion, the reminder for the residents will disappear and the reminder message will appear again next month.

Reminder evaluation service record< /figure>

▲Remind evaluation service records

The system will also automatically remind you to evaluate the service records every week. After the caregivers complete the care plan, they must make a relevant record sheet every week to check whether each service is consistent.

Smart evaluation function: After selecting the residents to be queried, click the evaluation function to enter the evaluation query list.

Evaluation Query List

▲Evaluation Query List

Evaluation Record
[Import Case] ​​AI Silver Care Smart Platform

▲Evaluation Record

Click on the evaluation plan query to retrieve all previously recorded data from the system for evaluation use.

Example-Meeting Record
Example-Risk Factor Assessment Form

The query records filled in each form will be displayed on the following page in sequence according to the sub-functions.

Since the AI ​​function of fall and pressure ulcer risk assessment is based on 11 physiological data, the service can be spread to the elderly outside long-term care residential institutions, such as the elderly in day care services and the elderly in home services. By. It is expected that next year it will be extended to the elderly in day care institutions and the elderly in need of home services.

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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這是一張圖片。 This is a picture.
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USRROBOT's AI Lawn Mowing Robot Enters the Blue Ocean of Golf Market

An AI smart lawn mowing robot, resembling a vacuum robot, shuttles back and forth on the 30-hectare golf course lawn for weeding This robot, independently developed and designed by Taiwanese, is equipped with the world's first electronic fencing positioning technology which utilizes high-precision GPS integrated with cloud AI computation to determine the most efficient mowing paths, targeting the lucrative blue ocean market of golf courses This AI lawn mowing robot was developed by USRROBOT, a Taiwanese startup established in 2019 Chao-Cheng Chen, the president of USRROBOT, once served as the executive vice president of one of the top five ODM tech companies in Taiwan, and specializes in software and hardware integration When he served as the chairman of the Service Robot Alliance, he knew that the service robot industry was bound grow rapidly due to declining birth rates and the growingly severe labor shortage New demand - The horticulture market is large and the has rigid demand "To develop the core technology of service robots, we must find rigid demand Looking at European and American countries, there is a shortage of labor, but demand for horticulture has increased, and there has been a long-term shortage of 7-10 of horticultural workers" Under this strong "rigid demand," Chao-Cheng Chen established USRROBOT, and the company's first product is the AI lawn mowing robot In terms of overseas markets, the United States is the world's largest horticulture market, accounting for 30-40 of the global output value It is estimated that there are about 1 million horticulture workers, but they have been experiencing a labor shortage of 7-10 in recent years and have not been able to improve the situation The main reasons for labor shortage are Aging population and gardening is a labor-intensive job, so young people don't want to do it Unlike in Taiwan, European and American countries attach great importance to lawn maintenance and have expressly stipulated in the law that heavy fines will be imposed for failing to mow the lawn Therefore, the AI lawn mowing robot has considerable market development potential The introduction of AI multi-device collaborative mowing sensor technology is expected to reduce the burden of staff maintaining the golf course The AI lawn mowing robot developed by USRROBOT is currently in its second generation Domestic universities and well-known art museums are using the latest model M1, and it is also being used by some world-renowned high-tech companies and well-known universities in the United States The company is currently involved in negotiations for subsequent business cooperation USRROBOT stated that the professional RTK system currently used can reduce the original GPS positioning error from tens of meters to about 2 centimeters, allowing the robot to move accurately outdoors After setting the boundaries, it can be easily operated using the app New application - 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Expert systems are needed to overcome difficulties with different grass species "This AI lawn mowing robot has low noise, low pollution, low labor costs, and is waterproof and anti-theft In the lawn mowing process, it can identify and avoid obstacles through ultrasonic sensors while maintaining mowing quality, maintaining aesthetic and consistent grass length" Chao-Cheng Chen went on to say that the most important part about golf courses is that the grass pattern should be beautiful and free from diseases and pests Based on the site survey, golf courses are mainly divided into three major areas green, fairway and rough There is no problem using the current mowing robot to mow the rough area, and it can overcome slopes within 20 degreesThe short grass in the fairway area may only be two centimeters long, and the grass types are also different, so the cutterhead design needs to be modifiedAs for the grass in the green area, the grass must be mowed close to the ground and maintained in a consistent direction because it affects the putting speed Many factors will affect the green index, and this part requires more research and testing The AI lawn mowing robot can identify and avoid obstacles through ultrasonic sensors while maintaining mowing quality The AI smart lawn mowing robot has a built-in camera that can be used to detect the health condition of the lawn Chao-Cheng Chen said that in the future, an expert system will also be introduced for early determination of whether there are diseases, pests in the lawn or whether there is sufficient moisture, and provide lawn health data analysis to customers, so that they can take preventive and response measures sooner to reduce disaster losses Chao-Cheng Chen, who is also a good golfer himself, said that golf has developed well in Taiwan However, due to weather factors, such as rainy and humid climate and typhoons, Taiwan's golf courses have harder soil and more potholes compared with top tier golf courses overseas If AI lawn mowing robots are to be widely introduced into golf courses, there are still many difficulties that must be overcome However, Taiwan's difficult terrain creates a good testing ground Once Taiwan can overcome the many problems and successfully introduce the robot, it will be able to expand to overseas markets and seize new market opportunities in a blue ocean Chao-Cheng Chen, President of USRROBOT nbsp

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Have you had your morning coffee yet Over the past decade, Taiwan has gradually formed a coffee drinking culture With the advancement of AI technology, autonomous coffee roasters can now rely on AI for precise location setting while also cultivating a loyal customer base Let's see how this is done According to the International Coffee Organization ICO, Taiwanese consume approximately 285 billion cups of coffee annually, with the coffee market in Taiwan estimated at 80 billion TWD, growing about 20 each year In recent years, the 'drinking coffee' culture in Taiwan has become synonymous with popularity, with coffee being the most frequently chosen daily beverage by 65 of the population Coffee enthusiasts, particularly the more avid ones, are willing to pay more for coffee beans that suit their tastes An increasing number of unmanned drink kiosks have also begun to appear in the Taiwanese beverage market Unmanned coffee beverage shops face difficulties in expanding quickly, primarily due 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coffee beans than those available in bulk stores Upon completing a batch of coffee beans, it immediately provides them to professional technicians within the coffee shops for grinding and manual brewing The remaining roasted beans can also be taken home for brewing and enjoyment It also adds value to coffee shops by better understanding consumer preferences for coffee beans and launching more customer-attracting drink promotions and appropriate inventory management In addition to coffee shops, the autonomous coffee roaster can also utilize AI-based people counting analysis to precisely set up near scientific parks and commercial buildings, offering high-quality coffee beans for office brewing to internal employees with high coffee consumption needs Furthermore, implementing a physical membership system can initiate coffee bean purchase promotions or periodic payment incentives, thus attracting new clients and cultivating existing customer loyalty and retention The operation interface of the smart autonomous coffee roaster「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」