Announcing our partnership with Accenture
You’ve run a successful digital health pilot. Now what?
Podcast: How non-traditional players are shaping healthcare transformation
How 100+ CEOs are navigating digital health’s middle innings
Q1 2018: Funding keeps climbing as digital health startups double down on validation
On the heels of the biggest year in venture funding, the digital health space is starting off 2018 with a bang: record Q1 funding of $1.62B, three $100M+ mega-deals, and a massive exit. Compared to last year, the commotion from policy debates has largely settled and a path to regulatory clarity has emerged. On our end, we’ve launched a couple of new sections within our funding post—check out our deep investor analysis as well as an update on the sometimes elusive, always critical quest of every digital health company: validation.
The AI/ML use cases investors are betting on in healthcare
Last month, we released our whitepaper, Demystifying AI and Machine Learning in Healthcare. In this latest blog post, you’ll learn how venture funding gives us a glimpse into the AI/ML use cases taking hold now—and those areas that aren’t ripe yet. ICYMI: Our first post established a framework to understand the algorithms underpinning AI to allow stakeholders to more readily identify true breakthrough innovation.
The real-world effects of digital health: Announcing the Impact Project
Demystifying AI and machine learning in healthcare
AI in healthcare feels inevitable: Optimists predict that artificial intelligence and machine learning (AI/ML) will diagnose disease better and earlier, treat illness more precisely, and engage patients more efficiently than today’s healthcare system does. On top of this, AI/ML is expected to streamline business operations and restore sanity (and humanity) to the clinician experience. To separate hype from reality, and access the complete white paper, connect with our partnerships team.
Rock Health’s investment team grows with addition of Venture Principal Jeff Trost
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