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Navigating AI Regulation in Healthcare
The regulatory landscape for AI in healthcare can be quite unclear and challenging to navigate for manufacturers and developers.
Complying with regulatory requirements in AI healthcare goes beyond just data privacy. It’s crucial for healthcare companies to understand and adhere to various regulations, guidelines, and policies specific to AI technology. This includes transparency, fairness, accountability, and safety in AI systems. Collaborating with experts in the field and learning from other countries' experiences can also help in understanding best practices
Prioritising compliance, even with limited resources, can be achieved by thoroughly understanding the regulatory requirements and implementing necessary measures. By being proactive, adaptable, and well-informed, healthcare companies can navigate the complex regulatory landscape and ensure the responsible and ethical use of AI technologies.
Join this meeting to collaboratively navigate the regulatory challenges of integrating AI in healthcare with caution and responsibility :
- How are regulatory landscapes shaping up for AI in healthcare globally and what trends are emerging?
- What best practices are emerging in AI regulation for healthcare?
- How can smaller companies navigate the complex regulatory landscape and ensure compliance with AI regulations in healthcare?
We would like to remind you that our meetings are small and intimate sessions with a limited number of seats available, therefore we rely on your attendance and participation to ensure a high quality and valuable meeting for all. If you are confirmed for this meeting we ask if you can please ensure your attendance on the day.
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Navigating AI Regulation in Healthcare
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The regulatory landscape for AI in healthcare can be quite unclear and challenging to navigate for manufacturers and developers.
Complying with regulatory requirements in AI healthcare goes beyond just data privacy. It’s crucial for healthcare companies to understand and adhere to various regulations, guidelines, and policies specific to AI technology. This includes transparency, fairness, accountability, and safety in AI systems. Collaborating with experts in the field and learning from other countries' experiences can also help in understanding best practices
Prioritising compliance, even with limited resources, can be achieved by thoroughly understanding the regulatory requirements and implementing necessary measures. By being proactive, adaptable, and well-informed, healthcare companies can navigate the complex regulatory landscape and ensure the responsible and ethical use of AI technologies.
Join this meeting to collaboratively navigate the regulatory challenges of integrating AI in healthcare with caution and responsibility :
- How are regulatory landscapes shaping up for AI in healthcare globally and what trends are emerging?
- What best practices are emerging in AI regulation for healthcare?
- How can smaller companies navigate the complex regulatory landscape and ensure compliance with AI regulations in healthcare?
We would like to remind you that our meetings are small and intimate sessions with a limited number of seats available, therefore we rely on your attendance and participation to ensure a high quality and valuable meeting for all. If you are confirmed for this meeting we ask if you can please ensure your attendance on the day.
Participants
Participants
Benjamin Alouf
Member Scientific Advisory Board, Big Health
Karym El Sayed
Head of eHealth & Medical Software Solutions , Bayer Pharmaceuticals
Randy Horton
Chief Solutions Officer, Orthogonal
Steve Seuntjens
Partner, Personal Health Solutions
Aahuti Rai
Strategic Advisor, Healthcare Innovation at Four Points Consulting Ltd
Zina Manji
Sr Director of Regulatory Affairs at GSK
Patrick Leyseele
Founder and CEO, 3.life
Maxime Champain
Lead, BDH External Innovation & Alliances, Search & Evaluation, Biogen
Julie Fishman
Executive Director, Commercial Head (Global) Rx+ Business Accelerator, Astellas Pharma
Weronika Michaluk
Principal , HTD Health
Taiba Quraishi
Information Technology Intern, Alexion Pharmaceuticals
Brandon Salimi
Technology, Strategy and Innovation Manager, Amgen
Nemanja (Nick) Kovačev
MedTech Expert, HTEC Group
Cris De Luca
Global Head, Digital Investments at Sanofi Ventures
Bernhard Kappe
Founder & CEO, Orthogonal
Up to 12
Navigating AI Regulation in Healthcare
The regulatory landscape for AI in healthcare can be quite unclear and challenging to navigate for manufacturers and developers.
Complying with regulatory requirements in AI healthcare goes beyond just data privacy. It’s crucial for healthcare companies to understand and adhere to various regulations, guidelines, and policies specific to AI technology. This includes transparency, fairness, accountability, and safety in AI systems. Collaborating with experts in the field and learning from other countries' experiences can also help in understanding best practices
Prioritising compliance, even with limited resources, can be achieved by thoroughly understanding the regulatory requirements and implementing necessary measures. By being proactive, adaptable, and well-informed, healthcare companies can navigate the complex regulatory landscape and ensure the responsible and ethical use of AI technologies.
Join this meeting to collaboratively navigate the regulatory challenges of integrating AI in healthcare with caution and responsibility :
- How are regulatory landscapes shaping up for AI in healthcare globally and what trends are emerging?
- What best practices are emerging in AI regulation for healthcare?
- How can smaller companies navigate the complex regulatory landscape and ensure compliance with AI regulations in healthcare?
We would like to remind you that our meetings are small and intimate sessions with a limited number of seats available, therefore we rely on your attendance and participation to ensure a high quality and valuable meeting for all. If you are confirmed for this meeting we ask if you can please ensure your attendance on the day.
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Navigating AI Regulation in Healthcare
Navigating AI Regulation in Healthcare
Navigating AI Regulation in Healthcare
The regulatory landscape for AI in healthcare can be quite unclear and challenging to navigate for manufacturers and developers.
Complying with regulatory requirements in AI healthcare goes beyond just data privacy. It’s crucial for healthcare companies to understand and adhere to various regulations, guidelines, and policies specific to AI technology. This includes transparency, fairness, accountability, and safety in AI systems. Collaborating with experts in the field and learning from other countries' experiences can also help in understanding best practices
Prioritising compliance, even with limited resources, can be achieved by thoroughly understanding the regulatory requirements and implementing necessary measures. By being proactive, adaptable, and well-informed, healthcare companies can navigate the complex regulatory landscape and ensure the responsible and ethical use of AI technologies.
Join this meeting to collaboratively navigate the regulatory challenges of integrating AI in healthcare with caution and responsibility :
- How are regulatory landscapes shaping up for AI in healthcare globally and what trends are emerging?
- What best practices are emerging in AI regulation for healthcare?
- How can smaller companies navigate the complex regulatory landscape and ensure compliance with AI regulations in healthcare?
We would like to remind you that our meetings are small and intimate sessions with a limited number of seats available, therefore we rely on your attendance and participation to ensure a high quality and valuable meeting for all. If you are confirmed for this meeting we ask if you can please ensure your attendance on the day.
Join this group of peers and get a feel of what it's like to belong to a community of digital health gamechangers.
All meetings are limited to 10 people to allow for honest discussions, so apply fast or become a HealthXL member and get priority access to all meetings, latest industry reports and and much more.
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What are HealthXL Virtual Meetings?
HealthXL Virtual Meetings are private group meetings limited to 10 people across different demographic and stakeholder groups. For 75 minutes, you take a deep dive into your chosen topic and explore it from different angles. Virtual Meetings are not webinars: There is no audience, no recording and no hiding behind a screen. You actively participate in a discussion to solve your present challenges and design the future of digital health. And through our Community Hub, you stay up-to-date on the latest news and insights, allowing you to fully immerse yourself in the topic before, during and after.
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HealthXL brings together gamechangers of digital health to support honest discussions in small, private groups. In our Community Hub, for which you can register for free, you can follow a wide range of communities across telehealth, digital therapeutics, patient engagement and more. As a full HealthXL member, you also get access to curated news, the latest insights and an expert network to connect with. Join exclusive virtual meetings to exchange strategies, viewpoints and learnings with members from like-minded yet diverse stakeholder groups.
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As member of HealthXL, you join a community of digital health thought leaders, innovators and game changers around the world. With your membership, you get access to hundreds of insights, reports and resources. You can browse a database with over 90k healthcare organizations and view their active strategic partnerships, commercial relationships, latest funding rounds and research. Through our in-house curated digital health newsfeed, you stay informed on the most impactful news and you can regularly meet with members to share learnings, discuss the latest developments and connect with peers of different demographical stakeholder groups. Contact us today to find out about pricing options.
Through focus groups, we bring together 6-10 thought leaders and industry stakeholders in a series of virtual meetings to collaborate around a defined topic. Each meeting gives the group the opportunity to examine, analyze and collaborate with one another around a digital health topic as well as produce a shareable result.
