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How to Be a Great Advisor to AI Startups in Healthcare
- Advising AI startups in healthcare involves translating lived experiences into design input and making tools usable under pressure.
- Knowing the workflow and pain points within real healthcare systems is crucial for AI tool integration and effectiveness.
- Early testing, real-world validation, and input from various perspectives enhance the development of successful AI tools in healthcare.
- Focusing on a specific use case, maintaining simplicity, and incorporating diverse voices are key to building resilient and effective AI solutions.
- Responsible AI design, ethical considerations, and transparency in healthcare AI are essential for building trust and ensuring positive outcomes.
- Connecting clinical wins to business outcomes and demonstrating the impact of AI tools is important for sustainability and securing funding.
- Continuous involvement, engagement, and shaping of the product are vital for effective advising of AI healthcare startups.
- Being a valuable advisor means helping AI products work for real people in real care settings through curiosity, humility, and understanding.
- Guiding with respect for the complexity of care helps in building lasting and impactful AI tools that address real-world healthcare challenges.
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