BeeKeeperAI, Launch, and UCSF CDHI teamed up to accelerate healthcare AI by designing core architecture, gathering user insights, and building a prototype—cutting years and costs from development.
In today’s environment, it takes approximately 3 years and $5M for an algorithm to achieve generalizability and be viable for FDA approval. Healthcare AI development is a slow process that is burdened by finding realistic data to train on and facilitating secure access to that data that won’t compromise patient safety.
Launch helped accelerate the healthcare AI development timeline by laying the groundwork for secure, scalable algorithm training—cutting time to market and cost by orders of magnitude.
BeeKeeperAI brings confidential computing in the cloud to enable secure collaboration between algorithm developers and healthcare data sets. AI will revolutionize healthcare as we know it – but in order for this to happen, we need more developers training de novo algorithms more often.
Launch worked with University of California, San Francisco's Center for Digital Health Innovation (CDHI) to lay the foundational system architecture and design key elements of the user experience in order to bring it to market. This included:
Our client had a hunch based on their experience that the value proposition of their product was sound, but needed further validation to help refine the product offering and their pitch. We conducted 15 one-hour long interviews with key subject matter experts and user groups. We synthesized our findings and distilled our learnings into artifacts to guide our design and architecture phases.
Launch helped accelerate the healthcare AI development timeline by laying the groundwork for secure, scalable algorithm training—cutting time to market and cost by orders of magnitude.
Based on our research – we identified key features, user needs, and system requirements. These set the foundation for the product and helped us define the information architecture and service blueprint. We then created a clickable prototype that follows one key user story.
It answers:
The prototype embodies a product roadmap and casts a vision for BeeKeeperAI as a service 2-3 years in the future.
Digital transformation doesn't have to be overwhelming. Start your journey with clarity and confidence.
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