Healthcare is time‑critical work. Philips is turning AI literacy into an everyday capability so people can spend more time with patients and less time on paperwork. The company is rolling out OpenAI’s ChatGPT Enterprise at scale and teaching teams how to use it responsibly in real workflows—not just pilots.

Why this matters now

Health systems face sustained staffing gaps, rising demand, and scrutiny of new technology. AI only helps if your whole organisation knows when to use it, how to evaluate outputs, and where to keep humans in the loop. Philips is building that baseline: shared skills, shared guardrails, and shared confidence.

The OpenAI foundation

Philips’ enterprise rollout centres on OpenAI’s ChatGPT Enterprise, providing governed access, permissions, logging and data controls. Familiarity with OpenAI’s tools already existed among employees; the programme channels that curiosity into safe, measurable improvements in day‑to‑day work.

Leadership first, then everyone

Executives trained hands‑on so they could model usage, not just mandate it. That top‑down signal was paired with a bottom‑up challenge inviting employees to propose and trial use cases in low‑risk environments. Momentum comes from both directions: visible leadership and grassroots pull.

Responsible AI is the spine

As a healthcare technology company, Philips operates under strict safety, privacy and regulatory expectations. Responsible AI principles—transparency, fairness and human oversight—are formalised and part of the rollout. Teams start with internal, non‑patient workflows to build skill and trust before moving into regulated processes.

Practical examples

• Summarising long policy documents for a specific role, with links back to the exact clauses and effective dates.

• Turning meeting notes into action lists and approval‑ready plans with provenance.

• Converting free‑text service notes into structured checklists aligned to hospital protocols.

• Drafting incident post‑mortems with pointers to the original logs.

Each scenario demonstrates literacy applied to daily work—not just conceptual training.

What’s changing in 2026

The emphasis has shifted from sporadic pilots to a scalable literacy programme powered by OpenAI. With skills and trust in place, Philips is moving from individual productivity gains to workflow‑level automation and agent‑assisted processes—always with clear governance.

Outcomes that matter

• Time back to clinicians: Reducing administrative burden so clinicians can focus on patients.

• Higher confidence: Teams know when AI helps, when it doesn’t, and how to escalate.

• Safe experimentation: Guardrails, permissions and logging create space to learn quickly without risking regulated workflows.

How the programme works

1. Launch with leadership. Run hands‑on sessions for executives to set the tone and model safe usage.

2. Define the guardrails. Publish a simple Responsible AI policy: acceptable use, data controls, review process, escalation paths.

3. Open a bottom‑up challenge. Invite staff to propose low‑risk use cases; provide a sandbox and evaluation rubric (faithfulness, usefulness, satisfaction).

4. Give governed access to OpenAI. Use ChatGPT Enterprise with role‑based permissions and logging.

5. Measure what matters. Track time saved, quality, and whether outputs link back to sources.

6. Scale by workflow. When literacy is high and results are reliable, graduate from task‑level wins to end‑to‑end workflow improvements.

Lessons for healthcare leaders

• Lead from the top. Train leadership to demonstrate use in their own work.

• Fuel bottom‑up momentum. Give people ways to propose, test and own their use cases.

• Align early. Bring compliance, data and clinical safety in early so momentum becomes an advantage, not a blocker.

• Make principles real. Embed transparency and human oversight into everyday use, not just policy docs.

• Focus where time matters. Start with administrative burden; it’s the fastest route to meaningful impact.

Considering a similar programme?

Generation Digital helps healthcare organisations design curricula, governance and evaluation aligned to UK/EU requirements—and to deploy OpenAI’s ChatGPT Enterprise in a way that builds trust and measurable outcomes.

FAQ

How is OpenAI used at Philips?
Philips provides governed access to ChatGPT Enterprise and trains staff to apply it in real work, starting with low‑risk internal tasks before moving into regulated workflows.

Why start with AI literacy instead of isolated pilots?
Literacy builds consistent skills and trust across roles, making adoption faster and safer than scattered experiments.

Where does AI make the biggest difference first?
Reducing administrative burden—summarisation, documentation, and search with provenance—so clinicians gain time back for patient care.

Is this safe for healthcare?
Yes—when done with responsible AI principles, permissions, logging, and human oversight, and when regulated workflows are only addressed once confidence and quality thresholds are met.