On August 22nd, Taikang Insurance Group released the "Taikang Health Care Medical Model 1.0" at its 30th anniversary celebration event.

This big model is based on the mainstream big model base and trained using data accumulated from the five major medical centers of Taikang and 27 established elderly care communities.

It is worth noting that with the development of artificial intelligence technology, many large models in the medical field have emerged in China, such as Ant Afu, Jingyi Qianxun, iFLYTEK, etc. These models are mostly from Internet companies.

Why are insurance companies also keen on launching big models?

Chang Cheng, Deputy General Manager of Taikang Insurance Group Technology Center, Taikang Home, and Taikang Medical CTO, introduced that the data accumulated from years of elderly care services has formed a large-scale and continuous record of real data on the longevity population, covering multiple dimensions such as health assessment, health management, chronic disease follow-up, long-term care, and rehabilitation intervention. In the past, these data were mainly responsible for basic functions such as business operation tracking, archiving, and data analysis, and their value was not fully realized.

These data have the characteristics of long time series and scene coherence, making them high-quality vertical domain resources that are difficult to cover with general public datasets. They provide a unique data soil for training and validating vertical large-scale models, helping models truly understand the health characteristics, behavioral habits, and care needs of long-lived populations, and forming a positive cycle of data scene business.

Taikang will launch the construction of a large-scale model for elderly care and medical care in 2024. After the release of the "Taikang Healthcare Model 1.0", it was the first to be applied in the Taikang Home Elderly Care Community. The model can assist medical staff in chronic disease management, functional rehabilitation, and full process care, automatically generate health portraits of the elderly and intelligently group them to develop personalized management plans. In the future, it will also expand to home-based elderly care scenarios.

(Author Jiang Xin)