For decades, healthcare and technology have been on a convergent path, with innovations like EHRs tracing back to the 60s, continually driving transformative change. HLTH 2022 illuminated health equity, punctuated by emerging dialogues around AI and the drive for comprehensive healthcare. Fast forward to HLTH 2023, Generative AI took center stage. It was omnipresent - from keynote addresses to booth displays, and the hallway conversations.

What does AI mean for healthcare? How can and should we implement AI within the healthcare industry? Will AI replace jobs? How can we deploy AI in healthcare ethically? These questions were top of mind for everyone at HLTH 2023.

The promise is undeniable: generative AI has the potential to herald a revolution in healthcare. However, its journey to ubiquity is paved with challenges, from meeting rigorous standards of safety and privacy to ensuring equity and real-world applicability. The overarching theme surrounding AI was a call for responsibility. As the race to harness AI intensifies, the industry is grappling with ethical dilemmas, transparency issues, and the imperative to build trust.

High-quality data is more important than ever.

Noteworthy Talks:

There's No "AI" in Team

Speakers included representatives from LifePoint Health, Hippocratic AI, J&J, Overjet, and Canvas Venture Fund. The panel brilliantly navigated the complexities of AI's role in healthcare. Munaj Shah from Hippocratic AI championed AI's potential in direct patient care, a vision contrasted by Wardah Inam of Overjet, who warned of its pitfalls. The shared perspective? Use AI to enhance administrative efficiency, thus giving healthcare professionals more meaningful moments with patients.

ChatGPT vs. The Experts

Speakers included representatives from Salesforce, Mayo Clinic, Bessemer Venture Partners, and Atropos Health. The panelists discussed model evaluation, explainability, potential use cases, and predictions for the future. The panelists emphasized that AI models should be evaluated based on intended use and level of risk. When GPT was put to the test with sample cases, the answers were viewed skeptically by the clinician panelists who could easily poke holes in the responses. The audience walked away with a clearer understanding of the need for the human clinician and AI collaboration.

Syntropy’s Take

The conference underscored the importance of our recent collaboration with Evidium. As discussions on generative AI's responsible use was debated, our focus on high-quality data stood out as a beacon. It's clear: in the world of AI, quality data is paramount. By emphasizing this, we want to move beyond the hype and present a clear roadmap on how generative AI can improve patient outcomes.

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