Careing Accelerates AX in Caregiving, Builds "Care Data Loop"

Expanding AX training to regional headquarters, starting with Yeongnam
Systematizing field know-how at headquarters through cross-generational collaboration

Careing is accelerating the adoption of artificial intelligence (AX) in caregiving settings, including by using artificial intelligence (AI) to automate social workers' repetitive administrative tasks.

Careing said on November 13 that its headquarters specialists are visiting regional headquarters in Yeongnam, Honam, the Seoul metropolitan area, and Chungcheong to provide "AX training" for members of its day care and integrated care centers.

The training was developed to ease the administrative burden on social workers, who have to enter information about older adults, care records, work logs, and other data into multiple systems at caregiving sites, and to help them focus on their core caregiving duties. Following AI caregiving training for around 100 care workers in September, this program focuses on improving the work efficiency of social workers at caregiving sites.

Recently, at Careing's Busan Buk-gu Day Care Center, members of the Yeongnam Headquarters received training ranging from basic generative AI skills to hands-on exercises in automating work by connecting AI to the company's internal data systems.

Social workers responsible for integrated care automated tasks they had previously performed by checking each work log individually, such as whether consultation records for older adults with Long-Term Care Grade 5 included cognitive activities, and whether records for older adults receiving both home-visit care and home-visit bathing services included details about bathing. Social workers responsible for day care automated tasks such as compiling fall-risk information for each older adult in one step. The system was set up to send the results of these checks to the staff in charge by message every morning.

A representative from Caring's headquarters explains how AI can automate repetitive tasks to employees at its Yeongnam regional headquarters' day care and integrated care centers during AI transformation training.

Before this training, Careing had been working to improve efficiency by applying AX in caregiving settings. For example, it turned operational know-how from home-visit care into an "AI-based integrated dashboard." With this system, entering data once brings together work logs, care updates for older adults, and operational indicators, while caregiving records on illnesses, medications, surgical history, and cognitive function are accumulated.

Careing is also using collaboration between generations at caregiving sites and headquarters to advance AX. According to Careing, more than 70% of caregiving staff in the field are aged 40 or older, while four out of every five employees at headquarters and regional offices are in their 20s or 30s. The company plans to establish a "care data loop" by having headquarters staff systematize the caregiving know-how developed in the field and turn it into solutions, then apply those solutions in the field to improve the quality of care.

Following the Yeongnam Headquarters, Careing plans to expand the training in stages to the Honam, Seoul metropolitan area, and Chungcheong headquarters, and establish this virtuous cycle.

Jeong Minyeong Careing's director of long-term care business said, "With the system flagging easy-to-miss issues such as missing records and fall risks in advance, social workers now have more time to personally look after older adults and care workers." She added, "We will have headquarters use AI to structure the know-how built up in the field and provide standardized care nationwide."

This content was produced with the assistance of AI translation services.