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AI in healthcare: From development to deployment, a virtual masterclass – Day 2
This virtual masterclass will guide you through the stages of building AI solutions in healthcare, from development to deployment.
Taking place over two half days, join us to understand how to take an AI solution from idea to bedside and learn from those with expertise in the field. Each webinar will be split into three sessions, each covering a key stage in the development lifecycle of an AI healthcare product.
Day 2 will offer an overview of how to sell, deploy, monitor and fund AI solutions.
Session 1: ‘Deploy’
- Explore ways to successfully evaluate cost savings and health impact
- Understand the differences between different healthcare markets
- Appreciate the tools that can help AI solutions scale rapidly
Session 2: ‘Track’
- Explore the requirements to track and monitor AI solutions after they’re live
- Understand how AI can be improved and optimised once it’s live
- Appreciate the regulatory requirements to adequately monitor AI solutions
Session 3: ‘Raise’
- Explore the state of venture funding for AI solutions in healthcare
- Understand the preferences of investors when it comes to AI healthcare solutions
- Appreciate the multiple ways of acquiring funding including grants, angel investment and bootstrapping
This virtual conference is ideal for healthcare professionals, digital health professionals, academics and students with an interest in AI technologies and a desire to understand how they can be successfully developed and deployed for healthcare purposes.
Receive a £10 discount for Day 2 if you have already booked to attend Day 1, using voucher code MULTITEP59. Please complete your booking for Day 1 before proceeding to book and apply the voucher code to your booking for Day 2 in a separate transaction. Join in the conversation online using #RSMDigiHealth
Follow us on Twitter: @RoySocMed
Registration for this webinar will close 2 hours prior to the start time. You will receive the webinar link 2 hours before the meeting. Late registrations will not be accepted.
