Philips operates across personal health, diagnostics, image-guided therapy, and patient monitoring. AI is not new to Philips—specialised AI and machine learning systems have been embedded in products for years. What’s new is the scale.
To fully realise the value of AI in healthcare, Philips is now working to make AI a capability that every employee can confidently use—not just specialised teams.
We sat down with Patrick Mans, Head of Data Science & AI Engineering, to hear how Philips is elevating AI literacy across the organisation, reinforcing its commitment to responsible AI, and advancing the age of intelligence to enable better care for more people.
> “You start playing with it, then you start working with it—and from there, you start innovating with it.”
Patrick Mans, Head of Data Science & AI Engineering, Philips
#### Results at a glance
#### Inside the rollout
Philips already had strong, specialised AI teams working on traditional machine learning inside products. But broad transformation required something different: AI literacy across everyone—not just experts.
OpenAI helps make that possible because the familiarity is already there.
> “People were already using OpenAI tools privately—so the curiosity was there. We just needed to channel it into real work.”
Patrick Mans, Head of Data Science & AI Engineering, Philips
Philips is intentionally moving employees along a curve: Toy → Tool → Transformation
And channelling curiosity into capability:
This created momentum from both directions: leadership endorsement + grassroots pull.
As a 134-year-old healthcare technology company, Philips operates under strict safety, privacy, and regulatory expectations.Trust and responsible use of AI are foundational.
To build confidence:
> “You can’t just implement AI as technology. You have to shift the culture—how people think, and how they trust.”
Patrick Mans, Head of Data Science & AI Engineering, Philips
The priority now is reducing administrative burden—especially in clinical environments, where time is critical.
> “I was in a hospital where a clinician spent 15 minutes saving a life—and then had to spend 15 minutes documenting it. He could have saved two lives in that same time.”
Patrick Mans, Head of Data Science & AI Engineering, Philips
Philips’ focus is clear: Give clinicians time back to care for patients.
#### Leadership lessons from Philips
Lead from the top:Train leadership hands-on so they model usage, not just mandate it.
Fuel bottom-up momentum:Give people ways to propose, test, and own their use cases.
Align early—AI moves faster than most organizations:Prepare stakeholders upfront so momentum becomes an advantage, not a blocker.
Make responsible AI principles real:Transparency and human oversight are essential, especially in healthcare.
Focus where time matters most:Administrative burden is the fastest path to meaningful impact.
Philips is now moving from individual productivity gains to workflow-level automation and agent-supported processes—with a clear AI policy and responsible AI principles in place.
The goal is simple and human: giving back time to clinicians so they can spend time on what matters most; their patients.
> “We want to deliver better care for more people. AI is one of the most powerful tools we have to do that.”
Patrick Mans, Head of Data Science & AI Engineering, Philips
## Join the frontier
More than 1 million businesses around the world are achieving meaningful results with OpenAI.
Wayfair boosts catalog accuracy and support speed with OpenAI ChatGPT Mar 11, 2026
How Axios uses AI to help deliver high-impact local journalism ChatGPT Mar 4, 2026
VfL Wolfsburg turns ChatGPT into a club-wide capability ChatGPT Feb 4, 2026
Our Research * Research Index * Research Overview * Research Residency * OpenAI for Science * Economic Research
Latest Advancements * GPT-5.3 Instant * GPT-5.3-Codex * GPT-5 * Codex
Safety * Safety Approach * Security & Privacy * Trust & Transparency
ChatGPT * Explore ChatGPT(opens in a new window) * Business * Enterprise * Education * Pricing(opens in a new window) * Download(opens in a new window)
Sora * Sora Overview * Features * Pricing * Sora log in(opens in a new window)
API Platform * Platform Overview * Pricing * API log in(opens in a new window) * Documentation(opens in a new window) * Developer Forum(opens in a new window)
For Business * Business Overview * Solutions * Contact Sales
Company * About Us * Our Charter * Foundation * Careers * Brand
Support * Help Center(opens in a new window)
More * News * Stories * Livestreams * Podcast * RSS
Terms & Policies * Terms of Use * Privacy Policy * Other Policies
(opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window)(opens in a new window)
OpenAI © 2015–2026 Manage Cookies
English United States
