The rise of artificial intelligence and the increasingly diverse applications for AI in healthcare generates excitement for its potential. But it should also give us pause for the potential consequences of widespread adoption. MedCity INVEST Digital Health on September 18 at Pegasus Park in Dallas will explore this theme through a series of discussions leading up to our annual Pitch Perfect contest, where startups pitch their companies to a team of investor judges.
Here’s a look at five of the panel discussions and a fireside chat. If you have expertise, a compelling story, or you’re pursuing novel AI applications in digital health, we want to hear from you! Alternatively, if you’re a company that aligns with these and related AI topics, and you would like to be an INVEST Digital Health sponsor, email our publisher Ken Montgomery: [email protected].
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How do AI startups stand out to investors in a crowded market?
With a flood of healthcare AI startups competing for investors’ interest and capital, discernment strategies are more important than ever. In this session, digital health investors will explore what separates true AI contenders from hype-driven hopefuls. These venture capitalists will discuss the real-world use cases they are drawn to, what a strong go-to-market strategy looks like and how AI startups can prepare for regulatory hurdles.
The dawn of AI labor: Healthcare’s next frontier of productivity
From ambient scribing to autonomous coding to patient outreach, “AI labor” is becoming a powerful new layer of operational efficiency in healthcare. But what does it really mean to deploy AI as a digital worker —and how far can it go? Hear experts explain how health systems, payers and startups are using AI to perform tasks once done exclusively by humans, as well as the ripple effects across cost, staffing and care quality.
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First, do no harm: Building the guardrails for responsible AI
Healthcare organizations are adopting AI models more than ever before — but questions about biases, patient safety, privacy and transparency still remain. How can health systems, payers and startups innovate responsibly, especially when AI is evolving rapidly and regulations are still catching up? Healthcare leaders will explain how they’re developing internal governance
frameworks to vet and monitor AI tools, foster compliance, and build trust with patients and clinicians.
Using AI to transform the patient experience while maintaining the human touch
Providers and payers are increasingly leveraging AI tools to improve the way patients and members interact with the healthcare system. These tools can do things like personalize care journeys, deliver faster service, enhance communication and boost satisfaction. During this session, industry experts will discuss where AI is making the greatest impact, as well as what it takes to deploy models that are accurate and empathetic.
Beyond the buzzwords: Evaluating AI tools’ efficacy and ROI
Providers and payers are continuing to experiment with AI, and many have even begun scaling their deployments. However, the healthcare industry is still in the early stages of generating evidence that these tools actually deliver on their promises to improve efficiency and reduce costs. The panelists will unpack what it takes to prove an AI tool’s worth, as well as
explore the growing demand for third-party validation and peer-reviewed evidence.
Fireside Chat: AI and health equity – does tech close care gaps or widen them?
AI tools promise to make healthcare more personalized, proactive and accessible — but do these tools deliver the same results for everyone? As more providers and payers adopt AI models for use cases like clinical decision-making, risk prediction and patient engagement, concerns are growing about whether AI could reinforce existing disparities instead of reducing them.
The centerpiece of INVEST Digital Health is the annual Pitch Perfect contest for healthcare startups. Here’s what we’re looking for:
- Startups offering AI-driven solutions that improve provider operations-
including, but not limited to: - Clinical-decision support and diagnosis tools
- Automated clinical documentation or ambient scribing
- AI-powered scheduling and resource management
- Patient engagement and communication platforms
Apply Now
Picture : MR.Cole_Photographer, Getty Images