Healthcare’s next breakthrough will depend on more than generating new insights. It will depend on turning those insights into timely action across research, clinical practice and patient engagement. Yet fragmented data, workforce pressures, rising costs and administrative complexity continue to slow that progress. The opportunity for AI is to connect what healthcare knows with what healthcare can do.
That is the ambition behind HCLTech’s role as a launch partner for Google Cloud’s Gemini for healthcare. By combining Google Cloud’s advanced multimodal and Agentic AI capabilities with HCLTech’ s deep healthcare domain expertise, we aim to translate AI innovation into practical solutions across the healthcare ecosystem.
Learn more: https://cloud.google.com/blog/products/ai-machine-learning/gemini-for-healthcare
HCLTech is making significant investments in reusable, industry-specific offerings, including 20+ healthcare solutions and 100+ enterprise agents built on Gemini, ready to deploy. These offerings are designed to help providers, researchers and payers accelerate AI adoption and address complex industry challenges, with select solutions planned for availability through Google Cloud Marketplace.
This initiative builds on our broader strategic collaboration with Google Cloud. In April 2026, we launched a dedicated Gemini Enterprise Business Unit to accelerate the development and adoption of industry-specific Agentic AI solutions. In June, we opened an AI Innovation Zone in Santa Clara, California, providing an environment where clients can design, build and deploy AI-driven workflows.
Together, these investments strengthen our ability to deliver industry-specific AI solutions across healthcare and other sectors.
Translating AI innovation into healthcare workflows
HCLTech’s iOnboard for Physicians, built on Gemini and Google Cloud, turns onboarding from a month-long, form-driven process into a guided, agent-assisted journey. It helps faster physician onboarding, thereby reducing time to practice by 30–40% and manual credentialing effort by up to 50%, while every decision stays with the medical staff office.
HCLTech’s Adverse Event Case Intake Agent helps process safety information from multiple sources, including documents, emails and audio, supporting more efficient adverse event intake and reporting workflows leading to 20% efficiency gains.
For healthcare providers, Doctor Appointment Scheduling uses conversational AI to help patients identify relevant specialists, check availability and book appointments, reducing appointment bookings from five minutes to 30 seconds and 10-15% increase in patients' appointments. Health Insights agents analyze medical reports, fitness metrics and nutritional data to generate clear wellness summaries and personalized recommendations, reducing content summarization time from 60 minutes to 30 seconds. Specialized healthcare agents also provide informational guidance across general medicine, pediatrics, gynecology and nutrition, helping patients navigate health-related questions without replacing professional medical advice.
Data privacy and operational efficiency are equally important. MEDIRedact automates the identification and redaction of sensitive patient information across healthcare documents, increasing efficiency by 30% while helping create a longitudinal patient record. For payers and third-party administrators, SmartBen AI converts complex benefits documents into structured coverage rules, helping reduce manual configuration efforts by 30%
Together, these capabilities demonstrate how intelligent agents can support connected workflows across research, care delivery and healthcare administration.
Building a more predictive, preventive and personalized healthcare ecosystem
The potential extends beyond automating individual tasks.
Looking ahead, multimodal AI, predictive clinical decision support and ambient clinical workflows could help clinicians access relevant information, reduce administrative burden and make better-informed decisions. AI-driven insights can support earlier identification of health risks, personalized care pathways and more coordinated patient experiences.
Realizing this vision requires Responsible AI adoption, robust data governance, privacy safeguards, human oversight and appropriate clinical validation. Solutions must be designed around real healthcare needs and integrated into existing workflows.
By combining Google Cloud’s AI capabilities with HCLTech’s healthcare domain expertise and industry-specific solutions, our collaboration aims to bridge the gap between scientific discovery and everyday care, helping organizations move from isolated AI experiments to scalable, responsibly governed and intelligent healthcare solutions.
The future of healthcare will be shaped not by how much information AI can generate, but by how effectively that intelligence is translated into meaningful action.
