Dr. Shiv Rao is co-founder and CEO of Abridge.

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Alexis Kayser

By Alexis Kayser

Healthcare Editor

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This is a preview of the May 7 edition of Access Health—Tap here to get this newsletter delivered straight to your inbox on Thursday mornings.


Good morning, and happy National Nurses Week.

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I debated putting an exclamation mark at the end of that sentence. After all, Chipotle is advertising free burritos in honor of the occasion.

Then I read the fine print, which specified that nurses have to register on Chipotle’s website. And only 100,000 of them will be randomly selected for a burrito. And if they are among the lucky winners, they’ll need to verify their status via ID.me. (Seriously. The metaphors write themselves!)

Chipotle aside, this Nurses’ Week is a pretty grim one.

We’ve lost three consecutive years of improvements in job satisfaction, according to Nurse.org’s annual State of Nursing survey, released last month. Forty-three percent of nurses said they are likely to leave the bedside in the next year, and nearly one in four hope to leave the profession altogether. Nearly every metric of fulfillment, contentment and hope—which had all been on the rise in 2023, 2024 and 2025—dropped again in this spring’s iteration of the report.

In 2022, health care could still blame the pandemic for these numbers. But after trending upwards, and then back down, it’s undeniable that COVID-19 was not the only problem.

Only eight percent of surveyed nurses said that good management and leadership was keeping them at the bedside. More than 40 percent said that financial necessity was their primary incentive. Over half report being the targets of violence and aggression in the workplace, and just one-fifth say that their salary allows them to be financially comfortable.

Despite the bad news, there are glimmers of good. The majority of nurses still report that they’re glad they chose the profession.

And the efforts to center the joyful, rewarding parts of the job are expanding. Yesterday, Abridge for Nurses expanded access from several health systems to more than 250. I spoke with nursing leaders in the first few cohorts who reported higher satisfaction from both patients and frontline nurses who started using the AI tool—you can read the whole story here.

The most promising sign, in my opinion, is that health systems aren’t rushing this one. Those that have been using Abridge for the past year are still only live at a handful of units. They reported a careful co-development process that centers nurses’ preferences and input. This should be table stakes, but tenured nurses will tell you that it has not been.

Microsoft’s Dragon Copilot is also expanding its suite of AI tools with “continuous feedback mechanisms” to ensure nurses’ voices aren’t neglected. These are just a few examples—and not enough to warrant an exclamation point—but maybe enough to bring some respite, eventually.

If you’d like to learn more about how tech companies are thinking about nursing, read on to the Pulse Check section for an interview with Dr. Shiv Rao, co-founder and CEO of Abridge.

And if you’re a nurse, or a former nurse, thank you. I’d love to hear from you: what needs to change, beyond technology? How can health systems better support you? Email me at a.kayser@newsweek.com.


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Pulse Check

Executive perspectives on key industry issues

Dr. Shiv Rao is co-founder and CEO of Abridge.

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I recently connected with Dr. Shiv Rao, co-founder and CEO of Abridge, to learn more about the company’s bedside care strategy as it grants 250+ health systems access to its AI platform for nurses.

Find a portion of our interview below.

Editor’s Note: Responses have been lightly edited for length and clarity.

How does nursing fit into the ultimate vision for Abridge? When you launched the company, did you consider that nurses might be one of the target demographics?

Absolutely. The original thesis for the company is that health care is about people. It's about humans. The most important signal that comes from those human interactions is spoken, and those interactions tend to be between both doctors and patients, but also nurses and patients.

And if you think about it, there are way more interactions between nurses and their patients. Especially inside the health system, the hospital, the inpatient institution, nurses are really the scaffolding for everything. Without nurses, nothing would function. Nothing would happen.

So we always knew that we wanted to be able to build there. One way to go after it was to “journey map” the patient’s story inside of a hospital. What happens when they go to the emergency department, to getting transferred upstairs into the hospital, to eventually getting discharged? Who are all the different professionals that they interact with? There are doctors, physical therapists, nutritionists, discharge coordinators, social workers, and—most importantly—there are nurses. The interactions that they have with nurses really are a significant multiple of any other interaction.

We're now trying to build the system of intelligence across all those interactions. It's a top priority for us to be able to build with and for nurses, in a for nurses, by nurses sort of way. But we also want to build in a way that allows us to connect into the bigger picture of these other interactions, including with doctors.

The original Abridge documentation tool for physicians was a major success. What was uniquely challenging about building a tool for nurses?

One of the big obstacles is technical, and another one is related to workflow.

On the technical side, it’s more of a structured data extraction challenge than a summarization challenge. When I, as a doctor, see a patient, we create these summaries in a specific format, but they need to be compliant. They need to have all the right information, then be structured and integrated back into the medical record in a certain way.

But they're more like summaries, whereas with the nursing workflows, it's more like filling in a spreadsheet.

Nurses might walk in a room and “nurse out loud.” They might talk about how much IV saline is still left in the bag, or how the urinary Foley catheter is doing. They might verbalize the patient’s vital signs: their blood pressure, their heart rate, their temperature.

Our technology's job is to convert all of that into structured data that maps to specific flow sheet cells inside the medical record. That's a very different machine learning challenge.

Beyond the technical challenge, there is the workflow challenge. And nursing workflows are really, really complex. They're walking into rooms and getting paged out and coming back. There are potentially multiple people in the room with them, lots of different voices. They might not always automatically verbalize all of the information that they're looking to get charted in those flow sheets, so there's a little bit of change management involved as well.

It's a very different-looking product, from a problem standpoint.

Was it more difficult to build an ambient documentation tool for nurses than for physicians?

The first version of it? Yes, absolutely. And for all the subsequent versions, it just gets harder.

For example, there's a significant delta between a first version of a doctor note, and one that is clinically useful, compliant and good for all the different specialties. That gets to be just as challenging as anything.

But to get started with something that a nurse would use and say, ‘This is great,’ to be able to ring that first bell is definitely harder.

How does the demand for AI-powered tools compare from nurses to physicians?

In that sense, they've actually had more in common. Nurses are burning out as well. We've got a real public health emergency across both doctors and nurses. An [AMN Healthcare survey from 2023] suggested that 30 percent of nurses wanted to leave the profession in the next 12 months.

There is a real challenge to retain nurses and inspire them to stay in the workforce, because they get so much energy from being that scaffolding for the health system and being that first, most important unit on the care delivery team. But they're also pulled away by clerical work and all the different distractions that get in the way of that purpose.

That's where we can come in, and that's where we've got a lot of conviction now that it's time to scale.

Some of the nursing leaders I spoke with this week said that nurses are loving Abridge—but they’re only using it on a couple of units. Why is it so difficult to scale this product across an enterprise?

Different units have different spreadsheets, so you want to build for the spreadsheet that you think can create the most immediate significant impact, and then sort of land and expand from there. It's not dissimilar to the way that we approach doctor notes—we started with a certain outpatient setting, a certain type of clinician, then very quickly expanded into other specialties, and we continued to expand.

Similarly with nursing, we're focused on med-surg flow sheets right now. Those are probably only relevant on certain floors, but then from there, we'll expand very quickly into others.

Is there a way to “bundle” the physician and nursing AI tools? Do you currently view them as complementary, or do you plan to?

It's usually a different set of stakeholders that we're speaking to on the doctor side versus the nursing side. And what we try to make clear to both is that when you've got both turned on, you will be able to connect the dots across both. There's something special, something magical in that.

Tell me more about that “connecting the dots” piece. What are the anticipated benefits of having both platforms working together?

Before the nurse walks in the room, if they have a sense of what [the doctor's] conversation was about that morning, then they have a heads up. “Okay, the patient is having these challenges,” or, “They really want to talk to a discharge coordinator to get out and go to the nursing home.” Whatever it is, they're coming in with a prepared mind.

My [family member] was in the hospital for hip surgery a few months ago, and I was pretty shocked by how many care team members would come in the room and ask the same exact questions, over and over. It felt like 5,000 paper cuts.

So in this new world, where we're creating this system of intelligence across all these interactions, every single one of those care team members can come in feeling like they know what has already been discussed, and they can pick up where another person on the team left off. That just helps so much in terms of giving me focus on what I should be unpacking when I walk in.

What are your main goals for Abridge for Nurses as it expands to more sites?

The main goals right now are to expand, like you said, to other settings within the hospital—and also to scale across more health systems, so we can get that much more feedback.

For us, feedback is oxygen, and some of that feedback is qualitative. Some of it is actually the data. Getting feedback from more nurses around edits and adjustments to those cells that we're populating inside of those spreadsheets can help our models learn faster.


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This is a preview of the May 7 edition of Access Health—Tap here to get this newsletter delivered straight to your inbox on Thursday mornings.

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