Doctors are turning medical generative AI into a booming business
Attendees at HIMSS in Orlando, Florida 2024.
Courtesy of HIMSS
The hottest new technology for doctors promises to bring back an age-old health-care practice: face-to-face conversations with patients.
As more than 30,000 health and tech professionals gathered among the palm trees at the HIMSS conference in Orlando, Florida, this week, ambient clinical documentation was the talk of the exhibition floor.
This technology allows doctors to consensually record their visits with patients. The conversations are automatically transformed into clinical notes and summaries using artificial intelligence. Companies like Microsoft’s Nuance Communications, Abridge and Suki have developed solutions with these capabilities, which they argue will help reduce doctors’ administrative workloads and prioritize meaningful connections with patients.
“After I see a patient, I have to write notes, I have to place orders, I have to think about the patient summary,” Dr. Shiv Rao, founder and CEO of Abridge, told CNBC at HIMSS. “So what our technology does is it allows me to focus on the person in front of me — the most important person, the patient — because when I hit start, have a conversation, then hit stop, I can swivel my chair and within seconds, the note’s there.”
Administrative workloads are a major problem for clinicians across the U.S. health-care system. A survey published by Athenahealth in February found that more than 90% of physicians report feeling burned out on a “regular basis,” largely because of the paperwork they are expected to complete.
More than 60% of doctors said they feel overwhelmed by clerical requirements and work an average of 15 hours per week outside their normal hours to keep up, the survey said. Many in the industry call this at-home work “pajama time.”
Since administrative work is mostly bureaucratic and doesn’t directly influence doctors’ decisions around diagnoses or patient care, it has served as one of the first areas where health systems have seriously begun to explore applications of generative AI. As a result, ambient clinical documentation solutions are having a real moment in the sun.
“There isn’t a better place to be,” Kenneth Harper, general manager of DAX Copilot at Microsoft, told CNBC in an interview.
Microsoft’s Nuance announced its ambient clinical documentation tool Dragon Ambient eXperience (DAX) Express in a preview capacity last March. By September, the solution, now called DAX Copilot, was generally available. Harper said there are now more than 200 organizations using the technology.
Microsoft acquired Nuance for around $16 billion in 2021. The company had a two-story exhibition booth in the exhibit hall that was often packed with attendees
Harper said the technology saves doctors several minutes per encounter, though the exact numbers vary depending on the specialty. He said his team gets feedback about the service almost daily from doctors who claim it has helped them take better care of themselves — and even saved their marriages.
Harper recounted a conversation with one physician who was considering retirement after practicing for more than three decades. He said the doctor was feeling worn out from years of stress, but he was inspired to keep working after he was introduced to DAX Copilot.
“He said, ‘I literally think I’m going to practice for another 10 years because I actually enjoy what I do,'” Harper said. “That’s just a personal anecdote of the type of impact this is having on our care teams.”
At HIMSS, Stanford Health Care announced it is deploying DAX Copilot across its entire enterprise.
Gary Fritz, chief of applications at Stanford Health Care, said the organization had initially started by testing the tool within its exam rooms. He said Stanford recently surveyed physicians about their use of DAX Copilot and 96% found it easy to use.
“I don’t know that I’ve ever seen that big a number,” Fritz told CNBC in an interview. “It is a big deal.”
Dr. Christopher Sharp, chief medical information officer at Stanford Health Care and one of the physicians who tested DAX Copilot, said it is “remarkably seamless” to use. He said the tool’s immediacy and reliability are accurate and strong but could improve at capturing a patient’s tone.
Sharp said he thinks the tool saves him documentation time and has changed how he spends that time. He said he is often reading and editing notes instead of composing them, for instance, so it is not as though the work has disappeared entirely.
In the near term, Sharp said he’d like to see more capabilities for personalization within DAX Copilot, both at an individual and specialty level. Even so, he said it was easy to see the value of it from the start.
“The moment that that first document returns to you, and you see your own words and the patient’s own words being reflected directly back to you in a usable fashion, I would say that from that moment, you’re hooked,” Sharp told CNBC in an interview.
Fritz said it is still early in the product life cycle, and Stanford Health Care is still working out exactly what deployment will look like. He said DAX Copilot will likely roll out in specialty-specific tranches.
Attendees at HIMSS in Orlando, Florida 2024.
Courtesy of HIMSS
In January, Nuance announced the general availability of DAX Copilot within Epic Systems’ electronic health record (EHR). Most doctors create and manage patient medical records using EHRs, and Epic is the largest vendor by hospital market share in the U.S., according to a May report from KLAS Research.
Integrating a tool like DAX Copilot directly into doctors’ EHR workflow means they won’t need to switch apps to access it, which helps save time and reduce their clerical burden even further, Harper said.
Seth Hain, senior vice president of R&D at Epic, told CNBC that more than 150,000 notes have been drafted into the company’s software by ambient technologies since the HIMSS conference last year. And the technology is scaling fast. Hain said more notes have already been drafted in 2024 than in 2023.
“You’re seeing health systems who have worked through an intentional process of acclimating their end users to this type of technology, now beginning to rapidly roll that out,” he said.
A company named Abridge also integrates its ambient clinical documentation technology directly within Epic. Abridge declined to share the exact number of health organizations using its technology. It announced at HIMSS that California-based UCI Health is rolling out the company’s solution system-wide.
Rao, the CEO of Abridge, said the rate at which the health-care industry has adopted ambient clinical documentation feels “historic.”
Abridge announced a $30 million Series B funding round in October, led by Spark Capital, and four months later, the company closed a $150 million Series C round, according to a February release. Rao said tail winds like physician burnout have turned into a “tornado” for Abridge, and it will use these funds to continue to invest in the science behind the technology and explore where it can go next.
The company is saving some doctors as much as three hours a day, Rao said, and is automating more than 92% of the clerical work it focuses on. Abridge’s technology is live across 55 specialties and 14 languages, he added.
Abridge has a Slack channel called “love stories,” which was viewed by CNBC, where the team will share the positive feedback they get about their technology. One message from this week was from a doctor who said Abridge helped them take their least favorite part of their job away and saves them around an hour and a half each day.
“That’s the type of feedback that absolutely inspires everybody in the company,” Rao said.
Suki CEO Punit Soni said the ambient clinical documentation market is “sizzling.” He expects rapid growth to continue through the next couple of years, though, like all hype cycles, he said he thinks the dust will settle.
Soni founded Suki more than six years ago after hypothesizing that there would be a need for a digital assistant to help doctors manage clinical documentation. Soni said Suki is now used by more than 30 specialties in around 250 health organizations nationwide. Six “large health systems” have gone live with Suki in the past two weeks, he added.
“For four to five years I’ve sat around, basically with the shop open, hoping somebody will show up. Now the entire mall is here, and there’s a line outside the door of people wanting to deploy, ” Soni told CNBC at HIMSS. “It’s very, very exciting to be here.”
Suki’s website says its technology can reduce the time a physician spends on documentation by an average of 72%. The company raised a $55 million funding round in 2021 led by March Capital. It will likely raise another round in the latter half of the year, Soni said.
Soni said Suki is focused on deploying its technology at scale and exploring additional applications, like how ambient documentation could be used to assist nurses. He said the Spanish language is coming to Suki soon, and customers should expect most major languages to follow.
“There is so much that has to happen,” he said. “In the next decade, all of health-care tech is going to look completely different.”
Technology
Cloud software vendors Atlassian, Snowflake and Workday are betting on security startup Veza
From left, Veza founders Rob Whitcher, Tarun Thakur and Maohua Lu.
Veza
Tech giants like Google, Amazon, Microsoft and Nvidia have captured headlines in recent years for their massive investments in artificial intelligence startups like OpenAI and Anthropic.
But when it comes to corporate investing by tech companies, cloud software vendors are getting aggressive as well. And in some cases they’re banding together.
Veza, whose software helps companies manage the various internal technologies that employees can access, has just raised $108 million in a financing round that included participation from software vendors Atlassian, Snowflake and Workday.
New Enterprise Associates led the round, which values Veza at just over $800 million, including the fresh capital.
For two years, Snowflake’s managers have used Veza to check who has read and write access, Harsha Kapre, director of the data analytics software company’s venture group told CNBC. It sits alongside a host of other cloud solutions the company uses.
“We have Workday, we have Salesforce — we have all these things,” Kapre said. “What Veza really unlocks for us is understanding who has access and determining who should have access.”
Kapre said that “over-provisioning,” or allowing too many people access to too much stuff, “raises the odds of an attack, because there’s just a lot of stuff that no one is even paying attention to.”
With Veza, administrators can check which employees and automated accounts have authorization to see corporate data, while managing policies for new hires and departures. Managers can approve or reject existing permissions in the software.
Veza says it has built hooks into more than 250 technologies, including Snowflake.
The funding lands at a challenging time for traditional venture firms. Since inflation started soaring in late 2021 and was followed by rising interest rates, startup exits have cooled dramatically, meaning venture firms are struggling to generate returns.
Wall Street was banking on a revival in the initial public offering market with President Donald Trump’s return to the White House, but the president’s sweeping tariff proposals led several companies to delay their offerings.
That all means startup investors have to preserve their cash as well.
In the first quarter, venture firms made 7,551 deals, down from more than 11,000 in the same quarter a year ago, according to a report from researcher PitchBook.
Corporate venture operates differently as the capital comes from the parent company and many investments are strategic, not just about generating financial returns.
Atlassian’s standard agreement asks that portfolio companies disclose each quarter the percentage of a startup’s customers that integrate with Atlassian. Snowflake looks at how much extra product consumption of its own technology occurs as a result of its startup investments, Kapre said, adding that the company has increased its pace of deal-making in the past year.
‘Sleeping industry’
Within the tech startup world, Veza is also in a relatively advantageous spot, because the proliferation of cyberattacks has lifted the importance of next-generation security software.
On the public markets, the First Trust Nasdaq Cybersecurity ETF, which includes CrowdStrike and Palo Alto Networks, is up 3% so far this year, compared with a 10% drop in the Nasdaq.
Veza’s technology runs across a variety of security areas tied to identity and access. In access management, Microsoft is the leader, and Okta is the challenger. Veza isn’t directly competing there, and is instead focused on visibility, an area where other players in and around the space lack technology, said Brian Guthrie, an analyst at Gartner.
Tarun Thakur, Veza’s co-founder and CEO, said his company’s software has become a key part of the ecosystem as other security vendors have started seeing permissions and entitlements as a place to gain broad access to corporate networks.
“We have woken up a sleeping industry,” Thakur, who helped start the company in 2020, said in an interview.
Thakur’s home in Los Gatos, California, doubles as headquarters for the startup, which employs 200 people. It isn’t disclosing revenue figures but says sales more than doubled in the fiscal year that ended in January. Customers include AMD, CrowdStrike and Intuit.
Guthrie said enterprises started recognizing that they needed stronger visibility about two years ago.
“I think it’s because of the number of identities,” he said. Companies realized they had an audit problem or “an account that got compromised,” Guthrie said.
AI agents create a new challenge. Last week Microsoft published a report that advised organizations to figure out the proper ratio of agents to humans.
Veza is building enhancements to enable richer support for agent identities, Thakur said. The new funding will also help Veza expand in the U.S. government and internationally and build more integrations, he said.
Peter Lenke, head of Atlassian’s venture arm, said his company isn’t yet a paying Veza client.
“There’s always potential down the road,” he said. Lenke said he heard about Veza from another investor well before the new round and decided to pursue a stake when the opportunity arose.
Lenke said that startups benefit from Atlassian investments because the company “has a large footprint” inside of enterprises.
“I think there’s a great symbiotic match there,” he said.
Meta CEO Mark Zuckerberg looks on before the luncheon on the inauguration day of U.S. President Donald Trump’s second Presidential term in Washington, U.S., Jan. 20, 2025.
Evelyn Hockstein | Reuters
Mark Zuckerberg’s plan is to make Meta the market leader in artificial intelligence. Investors will want to know how President Donald Trump’s tariffs-heavy trade policies will impact that strategy.
Those answers could start to come as soon as this week as Meta’s AI strategy takes center stage when the company hosts its first Llama-branded conference for AI developers on Tuesday then reports its latest quarterly earnings the next day.
Already, tech companies are starting to talk about the potential impact they’re bracing for as a result of the Trump tariffs.
Intel Chief Financial Officer David Zinsner said Thursday during the chip giant’s first-quarter earnings call that U.S. trade policies “have increased the chance of an economic slowdown, with the probability of a recession growing.” Meanwhile, Google CFO Anat Ashkenazi said that day during a first-quarter earnings call that the tech giant remains committed to its $75 billion investment in capital expenditures, or capex, this year, but also acknowledged that the “timing of deliveries and construction schedules” could cause some quarter-to-quarter spending fluctuation.
For now, analysts expect Meta to follow Alphabet’s lead and remain firm in its plan to spend as much as $65 billion in capex for AI infrastructure this year when it reports earnings Wednesday. Some analysts believe Meta could even raise the figure because AI is a core priority for the company.
“We do not expect META to cut its CapX guidance of $60B-$65B in 2025, for its GenAI infrastructure, because they see this as an important 10-year investment, we believe,” Needham analysts wrote in a research note published Wednesday. “However, tariffs add risks of upward cost revisions.”
Investors will also be monitoring Meta’s LlamaCon event at its Menlo Park, California, headquarters for any signs that its AI investments are having an immediate business impact. This will be the first time Meta hosts a developer conference specifically for its Llama family of AI models.
“Investors want to see ROI on all these AI investments, and while Meta has shown clear benefits from leveraging AI to improve its products and drive faster revenue growth, it’s been hard to quantify those benefits,” Truist Securities analyst Youssef Squali told CNBC.
Meta in April released a couple of its new Llama 4 models, which Meta Chief Product Officer Chris Cox previously said can help power so-called AI agents that can perform tasks for users via web browsers and other online interfaces.
It’s critical that Meta keep improving Llama to create a major business involving AI agents that companies can use to interact with their customers within apps like Facebook and WhatsApp, William Blair research analyst Ralph Schackart said.
“Meta has an early mover advantage at scale in a multi-trillion dollar market,” Schackart said in an email. “We believe Meta is very well positioned to leverage its billions of global users across multiple platforms.”
Meta is unlikely to curb its Llama investment any time soon, but should eventually consider doing so if it fails to generates enough money to justify its costs, said Ken Gawrelski, a Wells Fargo managing director of equity research.
“We do believe that over time Meta needs to continue to evaluate whether Llama needs to be competitive with the leading-edge models,” Gawrelski said. “This is a very expensive proposition and thus far, unlike Google, Meta does not directly monetize its model in any material way.”
Chris Cox, Chief Product Officer at Meta Platforms, speaks during The Wall Street Journal’s WSJ Tech Live Conference in Laguna Beach, California on October 17, 2023.
Patrick T. Fallon | AFP | Getty Images
Meta AI and the consumer
Analysts are also following the Meta AI digital assistant. That’s because the ChatGPT rival represents the second pillar of Zuckerberg‘s AI strategy.
Zuckerberg in January said he believes 2025 “is going to be the year when a highly intelligent and personalized AI assistant reaches more than 1 billion people, and I expect Meta AI to be that leading AI assistant.”
In February, CNBC reported that Meta was planning to debut a standalone Meta AI app during the second quarter and test a paid subscription service, in which users could pay monthly fees to access more powerful versions like users can with ChatGPT.
Although Meta’s enormous user base across its family of apps gives Meta AI an advantage over rivals like ChatGPT in terms of reach, they may not interact with Meta AI in the same way they do with rival chat apps, said Cantor Fitzgerald analyst Deepak Mathivanan.
Gawrelski said that people may not want to use Meta AI within Facebook and Instagram if all they want to do is passively watch the short videos that Meta algorithmically recommends to their feeds.
“This is why a separate Meta AI, where Meta could clearly articulate its use case and value proposition, could be helpful,” Gawrelski said.
A standalone Meta AI app could help the company better market the digital assistant and distinguish it from rivals, said Debra Aho Williamson, founder and chief analyst for Sonata Insights.
“ChatGPT has such wide brand awareness, that it’s become a moat that is soon going to be very hard to overcome,” Williamson said.
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