Infrastructure to Intelligence
Navigate the AI era with confidence. TCS helps you turn AI into a strategic partner that empowers talent, reimagines processes, and accelerates business transformation.
- Banking
- Capital Markets
- Consumer Packaged Goods and Distribution
- Communications, Media, and Information Services
- Education
- Energy, Resources, and Utilities
- Healthcare
- High Tech
- Insurance
- Life Sciences
- Manufacturing
- Public Services
- Retail
- Travel and Logistics
- Artificial Intelligence and Data & Analytics
- AI-led Data Centres
- Cloud
- Cognitive Business Operations
- Consulting
- Cybersecurity
- Enterprise Solutions
- Industrial Autonomy & Engineering
- Network Solutions and Services
- Sustainability Services
- Global Value & Innovation Centres
- TCS Interactive
Infrastructure to Intelligence
Industries
expand here
Services
expand here
Products and Platforms
expand here
Research & Innovation
expand here
About Us
We deliver excellence and create value for customers and communities - everyday. With the best talent and the latest technology we help customers turn complexity into opportunities and create meaningful change.
TCS Insights
Point of views, research, studies - on the latest themes - to help you expand your knowledge and be future ready.
Want to be a global change-maker? Join our team.
At TCS, we believe exceptional work begins with hiring, celebrating and nurturing the best people — from all walks of life.
- Argentina
- Brazil
- Canada
- Chile
- Colombia (EN)
- Colombia (ES)
- Ecuador(EN)
- Ecuador(ES)
- Mexico(EN)
- Mexico(ES)
- Peru
- Uruguay(EN)
- Uruguay(ES)
- USA
- Australia
- Mainland China
- Hong Kong SAR
- Indonesia
- Japan
- Malaysia
- New Zealand
- Philippines
- Republic of Korea
- Singapore
- Chinese Taipei
- Thailand
Want to be a global change-maker? Join our team.
India
expand here
Americas
expand here
Asia Pacific
expand here
Europe and UK
expand here
Middle East and Africa
expand here
Management Commentary
expand here
Financials
expand here
News and Events
expand here
ESG
expand here
Resources
expand here
Top Results
Showing
10
01 - 07
Industry
Healthcare
This will open an overlay
Health and Wellness: Making Healthcare Accessible and Affordable
We at TCS explain how big tech in health and wellness focuses on overall wellness and prevention of diseases and the impact of AI and other technologies.
Related Insights
Scale AI in healthcare beyond AI pilots into trusted AI through continuous monitoring and discover strategies to achieve sustainable clinical adoption.
Blog
03 Nov 2026
Read how AI & automation-powered patient access services & streamlined denial management help healthcare enterprises boost revenue & improve patient experience.
Blog
21 Mar 2022
Read about business transformations in healthcare and how AI, analytics, and automation can enable better operations to achieve better value across the value chain.
Blog
21 Jun 2021
On this page
Previous Slide
Next Slide
Back to top
Go to top
On this pageinpage
Go to top
A promising start
Picture a familiar scene. A small healthcare team has tested an AI tool against a clearly defined problem. The early results are encouraging. Staff can see time being released from repetitive work, leaders can see potential, and the conversation quickly moves from ‘does it work?’ to ‘where else can we use it?’
This is the point at which many AI stories become less about technology and more about the organisation around it. A pilot can succeed with a committed team, a narrow data set and close supervision. Everyday use is different. It reaches more people, touches established pathways and has to keep working as data, services and models change. The pilot has proved possibility. Scaling must prove that the organisation can carry the responsibility.
That shift in scale also changes the audience. A tool once understood by its creators must now be trusted by colleagues who did not design the pilot and may not share the same assumptions.
The scaling moment
The first request to expand the pilot often sounds simple: add another team, another site or another use case. Then practical questions arrive. Who is accountable when an AI-supported decision affects a patient or service? What must be reviewed before the scope changes? How will staff recognise a poor output? Who watches for drift, bias or declining data quality? How will anyone know whether the expected benefit has actually been realised?
Without shared answers, enthusiasm fragments. Clinical leaders may support the idea but remain cautious about safety. Digital teams may be ready to deploy but unclear about approval. Operational teams may want the benefit but lack guidance for day-to-day use. The result is rarely a dramatic failure. More often, a promising pilot simply stays a pilot.
At this stage, the organisation needs a common language for value and risk. Otherwise, each group sees only its part of the decision and no one can confidently see the whole.
Confidence to act
Good governance changes that conversation. It does not begin with a large committee or a new layer of paperwork. It begins with a clear route through the decisions that matter. The clinical and operational owner defines the problem and remains accountable for the outcome. Appropriate specialists examine safety, data protection, security and fairness. Leaders agree what human oversight is required, what evidence is needed and what would cause use to pause.
This clarity gives teams confidence to act. Lower-risk uses can move through a proportionate path, while higher-risk uses receive deeper scrutiny. Decisions can be recorded once and reused rather than rediscovered by every project. Governance becomes the way an organisation says ‘yes, safely’, not a reason to postpone innovation.
It also makes priorities visible. A use case with modest benefit and significant risk should not consume the same attention as one that removes a genuine burden with limited clinical impact.
Making trust routine
The real change comes after go-live. AI is not a product that can be approved once and forgotten. Its context changes: services are redesigned, data quality shifts, users adapt their behaviour and suppliers update models. A trusted service therefore keeps checking performance, clinical impact, emerging bias, adoption and realised benefits. It also gives staff a clear way to challenge an output or escalate a concern.
Over time, these habits form an operating capability. Clinical, operational, digital, data, information governance and security colleagues no longer assemble from scratch for each pilot. They work through a repeatable assurance process, learn from live use and adjust their controls as evidence grows. That is the turning point. The organisation is no longer collecting AI experiments. It is building the confidence to make safe innovation routine. The future will not belong to the organisation with the most pilots, but to the one that can turn a promising start into trusted everyday practice.
Workforce readiness is central to that trust. People need to know when to rely on the tool, when professional judgement takes precedence, and how their feedback will improve the service.
About the authors
Image of Leonardo Tantari
Leonardo Tantari
Leonardo Tantari is Chief Technology Officer for Healthcare at Tata Consultancy Services (TCS), UK Public Sector. He has more than 25 years of experience in healthcare technology and digital transformation, including executive leadership within the NHS. His areas of expertise include healthcare data and AI governance, clinical safety, digital operating models and the adoption of technology-enabled services. He works with healthcare leaders to turn innovation into practical, safe and sustainable change.
Related reading
Swipe Left
Swipe Right
With you for the long run
Whether you are a client, partner, investor, or employee, our promise is to be with you for the long run. Let’s take the first step together.
Connect with us
What’s on your mind?
We’re here to help! Tell us what you’re looking for and we’ll get you connected to the right people.
Looking for something else?