Every year, Google Check Up with Health gives a glimpse into where Google is headed in healthcare.
And this year was no different.
At the Google Check Up 2026, held virtually on March 17, the tech giant made its intentions clear.
Across products, partnerships, and research, Google showed how it wants to build the infrastructure layer for healthcare.
From how patients access information, to how clinicians make decisions, to how new drugs are discovered…
Google is quietly positioning itself across the entire stack.
Here are the 10 biggest updates (and what they mean for healthtech).
#1. AI Mode is making health search smarter and more personal
Google isn’t just showing links anymore; it’s starting to understand the user.
With over a billion health queries daily, Google’s new AI Mode is answering longer, complex, more personal questions. Up to 3x more detailed than traditional search.
The conversational search interface, available in over 90 languages across 200 countries, allows users to:
- Ask complex health questions conversationally
- Upload lab reports
- Get simplified explanations and interpret metrics like haemoglobin or RBC count
- Receive suggested questions to ask the doctor
What this means: Search is becoming less about information and more about interpretation.
What’s missing: Google didn’t go deep into clinical validation or the regulatory boundaries of these outputs. Something that will matter as users rely more on AI-generated health guidance.
#2. Google collaborates with health partners to unify health data
Healthcare data is everywhere and nowhere at the same time. Google is trying to stitch it together.
For patients to have immediate and frictionless access to their healthcare data, Google has partnered with American Healthcare System. Key developments include:
QR code replacing paperwork: Partnership with CMS, b.well, CLEAR and athenahealth for QR-based health record sharing. This will replace manual forms and fax machines.
Health 100 Platform: Partnership with CVS Health to create a consumer-centric platform, Health 100. This will connect pharmacies, insurers, and providers into one system to monitor, anticipate, and guide the patient throughout their health journey.
Google is becoming the operating system for healthcare data flows by building the data layer (Cloud Healthcare API), the AI layer (Gemini models) and the experience layer (consumer-facing platforms)
What this means: If you’re building in healthcare, chances are, you’ll either build on Google’s stack or compete against it.
What’s missing: Google didn’t give clear answers on data ownership, consent frameworks and cross-border data movement.
#3. Fitbit is evolving into a continuous care platform
Google upgraded Fitbit with features that connect consumer health data and real clinical information to help users manage personal health better:
Medical record integration: Fitbit users in the U.S can now link their medical records directly to the Fitbit app.
AI-powered personal health coaching: The data will be fed into the Gemini-powered Personal Health Coach to provide tailored wellness advice for users based on their health data instead of generic information.
Improved sleep tracking: Fitbit also announced a 15% improvement in sleep tracking accuracy.
CGM integrations for metabolic monitoring: Upcoming integration with CGMs allows you to see how specific meals or workouts impact your metabolic health in real time, bringing clinical-grade insight into everyday life.
Fitbit is evolving from a fitness tracker into a personal health platform. And Google is owning the longitudinal data, from daily behaviour to clinical history.
What this means: The line between digital therapeutics, remote monitoring and preventive care is starting to blur.
What’s missing: It is still very U.S.-centric. Google didn’t mention anything about global expansion, especially in emerging markets.
Source: Google
#4. Google is committing $10 Mn to clinical education
With a projected global shortfall of 10 million healthcare workers by 2030, Google understands that deploying AI tools is half the challenge. Clinicians should understand, trust, and use AI to address the issue.
That’s why Google is committing $10 million to fund organisations like the Council of Medical Speciality Societies and the American Academy of Nursing, which are the first recipients. It is integrating AI literacy into existing medical and nursing curricula to prepare trainees for an AI-integrated workforce.
Google is also addressing the cultural adoption gap by:
- Publishing AI research results in peer-reviewed journals.
- Collaborating with health institutions.
- Moving AI models from the lab into real-world clinical studies.
In short, Google is not just building tools; it is shaping how medicine is practised.
#5. Google’s AI is already supporting clinicians on the front lines
From speeding up access to critical protocols to cutting documentation time, AI does it all to improve healthcare delivery.
Seattle Children’s Hospital Pathway Assistant: Built using Google AI technologies like Vertex AI and Gemini models to distil clinical guidelines into an interactive format. The tool reduces the time to find life-saving protocols from one hour to mere seconds.
Gemini Gems for caregiver documentation in Japan: The “Gems” feature in the Gemini app helps caregivers convert voice memos and handwritten notes into professional records, saving 20% of their work hours previously lost to documentation.
Diabetes care efficiency in Taiwan: Using AI for personalised patient reports and predicting disease progression, Taiwan increased the efficiency of diabetes care by 100-fold.
Google is embedding AI directly into clinical workflows. And these systems are being tested in real-world settings.
What this means: The next wave of winners will be the ones building workflow-native systems.
What’s missing: Google gave no transparency around error rates, failure scenarios and liabilities.
#6. YouTube is becoming a global medical education layer
With health videos surpassing one trillion views globally on YouTube, Google is scaling this with tools that turn passive viewing into structured, interactive learning for students and healthcare professionals.
The “Ask” button for health videos: On eligible health videos, the button allows you to ask AI to simplify medical terminology or generate multiple-choice quizzes to test knowledge while watching videos. This makes learning more active and effective.
Institutions like All Indian Institute of Medical Sciences (AIIMS) and Red Cross are already using the “ask” feature, where formal learning is limited.
Google owns informal + continuous medical education.
What this means: Education is becoming on-demand, AI-assisted, and globally accessible.
#7. Pioneering rural health transformation
Healthcare access is unequal in the U.S. To address this, Google is directly partnering with institutions in rural communities.
In Arkansas, a state with high rates of chronic conditions like obesity and hypertension, Google is working with:
Alice Walton School of Medicine: Google is supporting a model of whole-person care, where its AI tools are integrated into medical training, helping students use technology as part of everyday decision-making.
Heartland Whole Health Institute: Google is applying AI, telehealth, remote patient monitoring and emerging tools like AR to tackle chronic disease before it escalates. This includes supporting initiatives like the Chronic Disease Reversal Project, which prioritises early intervention, behaviour change, and social care.
Google is becoming a care ecosystem enabler by participating directly in how healthcare is delivered, taught, and scaled.
What’s missing: While the Arkansas model is promising, questions remain:
- Can this be replicated outside the U.S.?
- How will outcomes be measured at scale?
- And how this translates to other lower-resource settings?
#8. MedGemma is powering primary care globally
Google’s open-source medical AI strategy has gained significant traction worldwide. By making these foundational AI tools freely available, Google enables AI access and adoption faster globally.
3 million+ downloads: MedGemma’s open distribution model removes licensing barriers to developers, clinics and health systems to build their workflows with these foundational tools.
Adoption across geographies: MedGemma is already deployed in outpatient triage in New Delhi and embedded in primary care workflows in Singapore. Two different healthcare environments, finding practical value in the same platform.
Instead of locking systems, Google is seeding ecosystems and accelerating global adoption. Its platform is becoming the foundation layer for global health AI.
#9. Google is accelerating how quickly medicine gets discovered
At the Check Up 2026, Google showed how AI is speeding up scientific discovery, compressing timelines that spanned decades into months.
Cancer detection with the NHS
In collaboration with the NHS, Google’s AI models are being used in breast cancer screening to analyse imaging at scale and flag patterns clinicians may miss. The study found AI can detect 25% of breast cancers that human specialists missed and reduce the screening workloads of radiologists by 40%.
Genomic Sequencing with Roche Diagnostics
Partnering with Roche Diagnostics, Google provides cloud infrastructure, AI-driven analysis and scalable compute that enables whole genome sequencing in <4 hours for under $150. Compared to the first human genome sequence, which took 13 years and cost $13 billion, the result is dramatic.
Earth AI for public health mapping
Google’s Earth AI models combine geospatial and health data to identify under-vaccinated clusters and predict outbreak risks at a local level. This helps health authorities identify and target at-risk communities before an outbreak develops.
Google is acting as a force multiplier for research and discovery—providing the infrastructure, AI models, and scale that dramatically speed up innovation.
#10. Google is backing its AI with clinical-grade evidence
In healthcare, capability means little without proof. And Google is leaning heavily into rigour, validation, and real-world evidence.
At Check Up 2026, Google announced a nationwide randomised controlled trial with Included Health to evaluate how its conversational AI performs across real virtual care workflows—from clinical reasoning to patient interaction.
This builds on earlier validation at Beth Israel Deaconess Medical Centre, where Google’s AI demonstrated:
- Strong clinical reasoning
- Empathetic history-taking
- Diagnostic quality comparable to that of physicians in controlled settings
Google is positioning itself as a clinically credible AI player through RCTs, clinical partnerships, and real-world deployment.
The bigger picture: Where Google is taking healthcare
When we zoom out, we see a clear pattern:
Google is building across four layers of healthcare:
- Access layer → Search, YouTube
- Data layer → Cloud, interoperability, Health100
- Care layer → Fitbit, clinical tools, AI assistants
- Discovery layer → Research, genomics, public health AI
Google Check Up 2026 wasn’t about innovation. It was about positioning. And Google has positioned itself very well across all four areas.
In short, Google is trying to become the layer healthcare runs on. An indispensable part of the $11 trillion healthcare industry.
