Why do you think Notable stands out in this crowded field?
One reason is because we’re not new — we’ve been doing this for almost 10 years. The second reason is because we work with the EHR vendors. These large companies you mentioned don’t have relationships with EHR vendors. They don’t have the expertise in healthcare workflows. They don’t have relationships with the care teams.
It’s not just about building the machine learning model. It’s about understanding how to integrate that into the workflow so that it actually works in the real world. And that’s what we’ve been doing for a very long time.
How do you respond to the concerns around AI in healthcare, specifically around issues of liability and accuracy?
It’s a really important question. It’s one of the reasons why we don’t talk about our accuracy rates. We’ve been asked by a lot of customers, “What’s your error rate?” And we won’t tell them. The reason is because we know that if we say it’s 99% accurate, someone’s going to come along and say, “You killed my patient.” And if we say it’s 90% accurate, someone’s going to say, “Well, I can do better than that on my own.”
It’s really about how this tool performs in the real world. And what I would say is that we’re always monitoring it. We’re always looking at it. We’re always iterating and improving. And we’re really trying to be very thoughtful about how we present it to the world.
What do you think the future holds for AI agents in healthcare?
I think the future is very bright. I think that AI agents are going to be a very common place in healthcare. They’re going to be doing a lot of the tasks that are currently done by humans. And I think that’s going to allow the humans to do more of the high-value, high-touch tasks that they really got into medicine to do in the first place.
So, I think it’s going to be a win-win for everybody. It’s going to be a win for the patients because they’re going to have better care. It’s going to be a win for the providers because they’re going to have happier, less burned out staff. And it’s going to be a win for the payers because they’re going to be able to save a lot of money by having these agents do the work that they’re currently paying humans to do.
Overall, I’m very bullish on the future of AI agents in healthcare.
As the conversation around AI agents continues to gain momentum in the healthcare industry, it’s clear that these tools have the potential to revolutionize the way healthcare is delivered. With companies like Notable leading the way in developing and implementing AI agents, we can expect to see significant advancements in efficiency, cost savings, and overall quality of care in the years to come.
The market for AI agents in healthcare may seem saturated, but there is still room for differentiation and innovation. Notable, a player in this space, is confident in its ability to stand out from the competition. Aaron Neinstein, Notable’s chief medical officer, believes that the key to success in healthcare lies in understanding the intricate workflows of health systems.
While big players like Microsoft and Salesforce have significant marketing budgets, Neinstein is not worried about their ability to deeply integrate AI into healthcare workflows. He notes that Nuance’s acquisition by Microsoft positions them well, but Google and Salesforce have yet to make a significant impact in care delivery.
The current regulatory landscape for AI in healthcare is uncertain, with the government taking a hands-off approach. This lack of clear guidelines means that it is more important than ever to work with trusted partners in the industry. Neinstein emphasizes the importance of building AI into existing workflows to ensure its effectiveness, rather than relying on third-party validation.
When it comes to accuracy rates and performance metrics for AI tools, Neinstein advises caution. Instead of focusing on a theoretical accuracy rate, organizations should compare AI performance to their current human performance. By setting realistic benchmarks and continuously improving performance, trust in AI can be built over time.
Notable takes a human-in-the-loop approach to deploying AI, which helps build trust among stakeholders. By involving humans in the decision-making process, fears of job displacement can be alleviated, and model performance can be improved. Neinstein believes that as AI becomes more integrated into daily life, people will become more comfortable with its use in healthcare.
In a rapidly evolving industry, differentiation and trust are key factors for success. Notable’s approach to AI deployment and focus on improving performance over time sets them apart in a competitive market. As the healthcare sector continues to embrace AI technology, companies like Notable are well-positioned to lead the way in innovation and patient care.
