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Is pharma ready for AI? Beyond the hype in clinical trials
AI could cut clinical trial timelines by up to 50% – so why isn’t pharma moving faster?
In this episode Sebastian speaks with Annette Østergaard, a recognised leader in the pharmaceutical industry, specialising in clinical development and digital innovation. Drawing from years of hands-on work in global clinical trials, Annette shares a grounded perspective on where AI can bring real value – and where the industry still faces significant barriers.
The discussion covers the complexity of clinical trial processes, the critical role of data quality and availability, and why regulatory, ethical and organisational challenges cannot be overlooked. Annette also explains why the real transformation is not only about technology, but about people, mindset and the ability to rethink how clinical operations are designed end-to-end.
Key topics:
• Why AI has the potential to significantly accelerate clinical trials
• What stands in the way of effective AI implementation in pharma
• Why data quality, structure and accessibility are critical foundations
• How regulations, privacy and ethics shape AI adoption in life sciences
• Why an end-to-end approach is necessary instead of isolated solutions
• How AI can improve predictability, reduce costs and increase success rates
• Why people, skills and organisational mindset are the biggest challenges
• How pharma companies need to rethink collaboration and operating models
⏱ Timestamps:
00:00 – Introduction
01:41 – Is pharma truly ready for AI?
04:28 – Key challenges: data, regulation and complexity
10:40 – Why mindset and skills are the biggest barrier
12:07 – How AI could cut clinical trial timelines by up to 50%
15:53 – Can AI become the breakthrough for pharma?
20:35 – Key benefits and challenges of AI in clinical trials
🎙 Guest:
Annette Østergaard, Pharmaceutical Industry Leader (Clinical Development & Digital Innovation)
LinkedIn: https://www.linkedin.com/in/anetteoestergaard/
🎙Host:
Sebastian Dzieniak
LinkedIn: https://www.linkedin.com/in/sebastian-dzieniak/
View all episodes
By Holisticon ConnectAI could cut clinical trial timelines by up to 50% – so why isn’t pharma moving faster?
In this episode Sebastian speaks with Annette Østergaard, a recognised leader in the pharmaceutical industry, specialising in clinical development and digital innovation. Drawing from years of hands-on work in global clinical trials, Annette shares a grounded perspective on where AI can bring real value – and where the industry still faces significant barriers.
The discussion covers the complexity of clinical trial processes, the critical role of data quality and availability, and why regulatory, ethical and organisational challenges cannot be overlooked. Annette also explains why the real transformation is not only about technology, but about people, mindset and the ability to rethink how clinical operations are designed end-to-end.
Key topics:
• Why AI has the potential to significantly accelerate clinical trials
• What stands in the way of effective AI implementation in pharma
• Why data quality, structure and accessibility are critical foundations
• How regulations, privacy and ethics shape AI adoption in life sciences
• Why an end-to-end approach is necessary instead of isolated solutions
• How AI can improve predictability, reduce costs and increase success rates
• Why people, skills and organisational mindset are the biggest challenges
• How pharma companies need to rethink collaboration and operating models
⏱ Timestamps:
00:00 – Introduction
01:41 – Is pharma truly ready for AI?
04:28 – Key challenges: data, regulation and complexity
10:40 – Why mindset and skills are the biggest barrier
12:07 – How AI could cut clinical trial timelines by up to 50%
15:53 – Can AI become the breakthrough for pharma?
20:35 – Key benefits and challenges of AI in clinical trials
🎙 Guest:
Annette Østergaard, Pharmaceutical Industry Leader (Clinical Development & Digital Innovation)
LinkedIn: https://www.linkedin.com/in/anetteoestergaard/
🎙Host:
Sebastian Dzieniak
LinkedIn: https://www.linkedin.com/in/sebastian-dzieniak/