China’s AI Healthcare Signals New Opportunities for Home Care Technology

China is rapidly embedding artificial intelligence across its healthcare system, from diagnostic tools to smart health platforms. As the country positions AI at the centre of its next five-year strategy, the developments could offer lessons for digital health and care technology providers in the UK.

China’s AI Healthcare Signals New Opportunities for Home Care Technology

Artificial intelligence is rapidly becoming a central pillar of China’s healthcare transformation, with the country embedding AI across diagnostics, remote care, biomedical research and digital health platforms.

New policy commitments outlined in China’s upcoming 15th Five-Year Plan suggest that the country intends to accelerate the large-scale commercial deployment of AI in healthcare between 2026 and 2030. For policymakers, care providers and technology developers in the UK care sector, the scale and speed of China’s digital health expansion could offer insights into how advanced technologies might support community health services, social care innovation and home care technology in the years ahead.

China’s approach combines national strategy, strong investment in AI infrastructure and growing consumer demand for smart health devices. While the health systems differ significantly, many of the underlying challenges, including ageing populations, workforce pressures and unequal access to care, mirror those facing health and social care services in the UK.

AI Becomes Central to China’s Digital Healthcare Strategy

The government has also pledged to expand its “AI Plus Initiative”, a programme designed to encourage the commercial adoption of artificial intelligence across multiple sectors, including healthcare, while positioning biomedicine as a strategic growth industry.

These ambitions sit within the wider Healthy China Initiative, which focuses on prevention, digital health infrastructure and improving access to medical services across urban and rural areas.

Experts say the increasing use of digital platforms, big data analytics and AI tools could support clinical decision-making and population health management. According to Ge Minghua, director of Zhejiang Provincial People’s Hospital, digital technologies can play a key role in reshaping healthcare delivery and narrowing disparities in access to medical resources.

China’s healthcare system has already expanded rapidly in recent years. The country reported an average life expectancy of 79 years in 2024, while basic medical insurance coverage exceeds 95 per cent of the population.

At the same time, digital tools are being deployed to extend the healthcare continuum from prevention and diagnosis to rehabilitation and long-term care, areas increasingly relevant to community health technology and care technology innovation worldwide.

Rapid Growth of Medical AI Models and Digital Platforms

By May 2025, the country had released around 300 medical large language models designed for tasks such as diagnostics, health information analysis and patient support services. These models are being used in a growing range of clinical and digital health applications.

One example is Ant Group’s health AI platform “Ant Afu”, which provides users with health advice and medical guidance through digital interfaces.

Remote healthcare is another rapidly expanding area. County-level remote medical imaging services have processed more than 68 million cases, demonstrating how AI-enabled tools can support clinicians in regions with fewer specialist resources.

For home care technology providers and community health services, the implications are significant. Remote imaging, automated report interpretation and digital consultation tools can reduce the need for hospital visits while supporting earlier intervention and ongoing patient monitoring.

Huo Yong, chief cardiology expert at Peking University First Hospital, has said that AI applications could play an important role in strengthening out-of-hospital healthcare delivery, particularly in areas such as consultation support, interpreting test results and personalised health management.

These functions increasingly mirror the type of digital health platforms now being explored within community care and virtual ward programmes in the UK.

Portable Diagnostics and Community-Based Care

One of the most notable developments in China’s digital health ecosystem is the emergence of portable, AI-enabled diagnostic tools designed for use outside traditional hospital settings.

According to Zhu Tongyu, vice president of Shanghai Medical College at Fudan University, portable diagnostic devices powered by artificial intelligence allow doctors to monitor patients in community settings or even remote locations.

Such technologies could help support tiered healthcare delivery models, where patients receive care in local clinics or at home whenever possible, with hospitals reserved for more complex cases.

For the UK care sector, where services are increasingly shifting towards community and home-based models, this approach resonates with current policy priorities.

The NHS has already been expanding remote monitoring programmes for patients with long-term conditions, alongside virtual wards that enable people to receive hospital-level care at home using digital health technology.

AI-powered diagnostics, wearable monitoring tools and smart home devices could further support these models by enabling earlier detection of health deterioration and reducing pressure on overstretched clinical services.

Consumer Health Devices and Rehabilitation Technologies

Alongside clinical AI applications, China is also seeing strong consumer demand for digital health management devices.

Smart body-fat scales and other connected health monitoring tools are becoming increasingly popular among younger consumers interested in managing their wellbeing through data-driven insights.

At the same time, assistive care technology is gaining traction among older populations. Home rehabilitation exoskeletons, for example, are being developed to help people with mobility impairments regain independence.

Such technologies are closely aligned with emerging trends in social care innovation, where robotics and assistive devices are being explored to support independent living and ageing in place.

In the UK, similar technologies are beginning to attract attention from care providers and local authorities seeking new ways to support older adults while addressing workforce shortages in social care.

While widespread adoption remains some way off, the development of rehabilitation robotics and intelligent mobility aids could eventually transform how care is delivered in people’s homes.

What China’s Experience Could Mean for the UK Care Sector

Although China’s healthcare system differs significantly from the UK’s NHS-based model, the country’s large-scale adoption of AI offers a glimpse of how digital health ecosystems might evolve globally.

For the UK care sector, several lessons stand out.

Integrating AI into community health technology could improve early diagnosis and preventative care. Tools capable of analysing health data and supporting clinical decisions may help identify risks before conditions worsen.

Expanding digital platforms for patient interaction, including AI-supported consultations and health advice, could reduce pressure on primary care services.

Finally, investment in assistive care technology, including robotics and intelligent monitoring systems, may play an increasingly important role in supporting independent living for ageing populations.

As demographic pressures continue to grow, health systems worldwide are searching for ways to deliver more care outside hospitals. Advances in AI, remote monitoring and digital health platforms could form a key part of that solution.