Build What’s Next: Digital Product Perspectives
The process of developing digital products and experiences can be a daunting task organizations often find themselves wondering if they are solving the right problems the right way hoping the result is what the end user needs. That’s why our team at Method has decided to launch Build What’s Next: Digital Product Perspectives.
Every week, we’ll explore ways to connect technology with humanity for a simpler digital future. Together, we’ll examine digital products and experiences, strategic design and product development strategies to help us challenge our ideas and move forward.
Build What’s Next: Digital Product Perspectives
AI in Healthcare: Bridging the Gap from Ideas to Impact
In this illuminating episode of Build What's Next: Digital Product Perspectives, healthcare technology veterans Sean Cassidy, CEO of Lucem Health, and Alejandro Reti, former CMIO at Optum, share their extensive experience with AI implementation in healthcare settings.
Key points discussed include:
- The diverse markets within healthcare and how AI fits differently in each context
- The distinction between clinical and non-clinical AI applications
- The importance of workflow integration and understanding healthcare's conservative nature
- Real-world applications of AI in healthcare, including disease detection and digital scribing
- Regulatory considerations and challenges in healthcare AI implementation
- The critical role of change management in successful AI adoption
- The evolving landscape of data requirements for AI in healthcare
- Future outlook and equity considerations in healthcare AI
Through practical examples and case studies, the speakers illustrate how:
- Lucem Health uses AI to help providers detect diseases earlier by analyzing existing EMR data
- Digital scribing solutions are transforming clinical documentation, saving doctors over two hours daily
- Mental health services are being augmented through AI-powered therapeutic tools
The speakers emphasize that successful implementation of AI in healthcare requires:
- Understanding and working within existing workflows
- Aligning with economic incentives
- Addressing multiple stakeholder needs (providers, payers, and patients)
- Taking an incremental approach to change
- Careful consideration of equity and access issues
Episode Resources:
Episode Highlights:
- [02:54] Introduction to Lucem Health and its evolution
- [08:20] Understanding healthcare markets and AI applications
- [12:01] Real-world AI use cases in healthcare
- [22:21] Regulatory considerations in healthcare AI
- [28:23] Change management and implementation challenges
- [34:09] Data requirements and synthetic data discussion
- [30:47] Future outlook and equity considerations