Google outlines the future of healthcare with AI supporting clinicians and patients

Artificial intelligence is moving beyond experimentation and into real-world healthcare systems, according to Google Cloud’s Global Director of Healthcare, Aashima Gupta. Speaking at Google Cloud Next 2026, Gupta said the discussion is no longer about whether AI should be adopted, but how it should be implemented effectively across the sector.

She explained that AI has already become embedded in clinical workflows, driven largely by demand from frontline healthcare workers rather than executive mandates. Medical staff are increasingly seeking tools that can ease workloads and reduce burnout, particularly in administrative areas that consume valuable time.

One example highlighted was the automation of nurse handoff notes. By reducing the time required for each interaction by even a few minutes, healthcare providers can collectively reclaim substantial hours each day. Gupta suggested that this regained time allows clinicians to focus more on direct patient care, which remains at the core of healthcare delivery.

AI shifts from assistance to orchestration

While current applications of AI in healthcare are largely administrative, Gupta indicated that a more significant transformation is on the horizon. She described the industry as approaching an “agentic moment”, where AI systems evolve from simple support tools into autonomous agents capable of managing complex workflows.

These AI agents are designed to coordinate multiple processes, reason across different systems, and adapt to changing contexts. Unlike traditional software, they can carry out multi-step tasks independently, reducing the need for constant human input. Gupta noted that such systems do not fatigue, making them well-suited for repetitive or time-consuming administrative duties.

This shift could be particularly impactful in an industry still reliant on fragmented systems and, in some cases, paper-based records. According to Gupta, modern AI technologies have the potential to connect electronic medical records, imaging platforms, laboratory systems and insurance databases into a more unified workflow.

However, she acknowledged that technological capability alone is not enough to ensure widespread adoption. Trust remains a critical barrier, especially in a highly regulated sector such as healthcare. Issues such as data residency, auditability and strict access controls must be addressed to reassure both providers and patients that AI systems are secure and reliable.

Building trust in a regulated environment

Healthcare organisations face unique challenges when integrating new technologies, particularly when sensitive patient data is involved. Gupta emphasised that maintaining transparency and control over data usage is essential for building confidence in AI systems.

She made clear that Google’s AI models, including Gemini, do not access patient records directly. Instead, the company aims to provide tools that enable healthcare providers to connect to their own data securely. This approach ensures that institutions retain control over patient information while still benefiting from advanced AI capabilities.

Gupta stressed that trust is built through careful implementation, including clear governance structures and compliance with regulatory standards. Role-based access controls and detailed auditing processes are among the measures needed to ensure that AI systems operate within acceptable boundaries.

At the same time, growing familiarity with AI in everyday consumer applications has made healthcare professionals more open to adopting similar technologies in their work. This shift in mindset is helping to accelerate the integration of AI into clinical environments, provided that appropriate safeguards are in place.

AI assistants set to reshape patient experience

Looking ahead, Gupta outlined a future in which patients will directly benefit from AI-powered tools. She envisages a system where individuals can access AI assistants through their healthcare providers, offering personalised guidance and support.

These assistants could provide tailored health recommendations based on individual medical histories, potentially helping to prevent illnesses or reduce the need for in-person consultations. However, Gupta noted that achieving this level of personalisation requires systems specifically designed for healthcare, rather than relying solely on general-purpose AI models.

She reiterated that Google does not seek to hold patient data, but instead aims to enable healthcare organisations to deploy their own AI-driven solutions. This decentralised approach allows providers to maintain control while still offering advanced digital services to patients.

For smaller healthcare providers, Gupta encouraged early experimentation. “Be in the arena,” she said, urging organisations to begin with pilot projects focused on routine, low-risk processes. This strategy can help build internal expertise and confidence before scaling up to more complex applications.

Ultimately, Gupta positioned AI as a tool to enhance, rather than replace, human roles in healthcare. She stated that clinicians will continue to carry out “high-touch, empathetic, clinical judgment-type work,” while AI expands overall capacity by handling administrative and repetitive tasks.

As healthcare systems face increasing pressure from ageing populations and workforce shortages, AI may offer a practical way to improve efficiency without compromising patient care. The challenge now lies in implementing these technologies responsibly and ensuring they earn the trust of both providers and patients.