Commure Ambient AI Is Now Seamlessly Integrated with Cerner

Ask any nurse what they spend their shift doing, and documentation will land somewhere near the top of the list. A 2025 study published in JMIR Nursing found that nurses spend an average of 31% of a 12-hour shift documenting in flowsheets alone, and that's before accounting for narrative notes, handoffs, or the charting that spills over after a shift ends.

That number tells us something important: nursing documentation isn't a smaller version of physician documentation. It's a fundamentally different workflow challenge. And as ambient AI adoption moves from providers to nurses, the vendors, health systems, and clinical leaders who recognize that difference are the ones who will thrive.

We sat down with Kelum Fecht, Enterprise Sales Director at Commure and a nurse by training, to talk about what makes nursing documentation distinct, where ambient AI can move the needle, and what it actually takes to build a solution that works.

Documentation doesn't clock in and out

When a physician sees a patient, the documentation work is concentrated around a 20- to 30-minute encounter with some pre- and post-charting on either side. Nursing doesn't work that way.

"In a 12-hour shift, that burden is there constantly," Kelum told us. A nurse might be caring for up to nine patients at once, returning to each one repeatedly, fielding interruptions, and capturing information across hundreds of small interactions. The frequency is higher, the conversations are more varied, and the documentation lives in flowsheets, which Kelum describes as "an Excel spreadsheet with dropdowns, radial buttons, and free text", rather than narrative notes.

That structural difference is why bolting nursing onto an existing physician ambient AI tool doesn't work. And the cost of getting it wrong shows up in places that don't always make it into the ROI deck.

"When a nurse should be checking out at 7 p.m. after a 12-hour shift, if they're not done with documentation, they're often spending another 30 minutes to an hour after handoff going back in to make sure everything's charted, and that overtime is real dollars for healthcare organizations."

This documentation bottleneck quickly becomes a retention, safety, and margin problem all at once.

Why ambient AI for nursing and why now

Health systems have tried to solve nursing documentation before. Workstations on wheels, bedside computers, mobile devices; each one promised to bring documentation closer to the point of care, but none of them addressed the underlying tension.

"Patient comes first, patient first always. So even the nurses that are most routine at being able to pull up their computer, their workstation on wheels, or whatever technology platform they have, there is still always that burden of how do I document while I'm taking care of a patient."

Ambient AI is the first technology with a credible answer: capture the conversation, generate the documentation, and let the nurse keep their eyes on the patient. The biggest immediate wins, Kelum believes, are in shift handoffs (where critical context routinely gets lost between nurses) and in admission and shift assessments (where the structure of the interaction maps cleanly to what Ambient AI can capture).

There's also a second-order benefit that mirrors what we've seen on the physician side: when clinicians narrate their care out loud, patients get more information, and nurses surface details that would otherwise stay locked in their heads.

When we asked Kelum how ambient AI changes what it means to be a nurse over the next three to five years, his answer reframed the question:

"It doesn't change anything because it makes nursing what it's always meant to be. What we as nurses always learn is to care for the patient, understand the patient, and be an advisor to the patient. Ambient AI can only strengthen that because enabling nurses to spend more one-on-one time having conversations and having eye contact during their care, that's what nursing was a hundred years ago, before EMRs and all this technology was thrown in front of us."

The integration problem most vendors haven't solved

Generating a note from a recorded conversation has become table stakes. What hasn't is generating the right documentation in the right place inside the EHR, especially for nursing.

"Generating a note is easy. Generating a high-quality note is challenging."

Physician notes can often be written back through a handful of API fields. Nursing flowsheets are a different beast: structured grids, discrete data elements, and EHR-specific quirks. Any vendor serious about nursing ambient AI has to engineer for all of them and engineer it deeply enough that the integration holds up across shift changes, edge cases, and the realities of a 12-hour day.

That's why we're co-developing Commure's ambient AI for nursing alongside health systems rather than shipping a finished product and asking nurses to adapt. The workflows that matter are best designed with nurses at the table, not after the fact.

Beyond documentation

The same ambient layer that captures a conversation can power smart prompts, what we at Commure call CareCues (such as a reminder to follow up on a wound check), surface relevant orders a nurse hasn't seen yet (such as an MRI scheduled for a patient she's caring for), and automate communication between care team members who today rely on chasing each other down.

The throughline is the same one that drew Kelum to this work in the first place: give nurses back the time and attention that documentation has been quietly taking from them, and let them do the job they trained for.

Want to see what ambient AI for nursing looks like in your environment? Book a demo with the Commure Ambient AI team.

Clinical documentation is changing quickly, and Ambient AI is a big reason why. It is helping providers reduce manual work, ease documentation burden, and move through visits more efficiently. But even as that shift accelerates, one reality remains true: a sizable percentage of providers still rely on dictation, and for many of them, that workflow is deeply ingrained in how they practice medicine. 

Documentation should support how providers actually work

This is why I think the future of documentation has to account for how providers actually work today. Some clinicians are ready to fully embrace ambient workflows. Others want to dictate. Many will want both, depending on the visit, the setting, or simply personal preference. A modern documentation platform should support that full range.

The real opportunity is not choosing between dictation and ambient but bringing them together in a way that creates a more comprehensive experience. A provider might record a patient visit and let Ambient AI generate the first version of the note, then use dictation to add findings, make edits, or refine details for that encounter. In another case, a provider may skip recording altogether and dictate the note from start to finish. Both workflows should be supported in a comprehensive platform.

Having this flexibility matters because adoption does not happen in a vacuum. For some providers, moving from long-standing dictation habits to fully ambient documentation feels natural. For others, it feels like too much change all at once. Giving them access to dictation within the same broader platform lowers that barrier and lets organizations support more clinicians without forcing a one-size-fits-all transition.

AI can make dictation more valuable

This is also where AI starts to make documentation meaningfully better, even within dictation workflows. The value goes well beyond transcription. While a provider is dictating, AI can help choose the appropriate note template, automatically pull in relevant patient demographics, medical history, and lab data, reducing the amount of manual work needed to build a complete note. That saves time and helps the provider focus on the clinical thinking behind the encounter rather than the mechanics of documentation.

Over time, AI can help improve what is being documented, correct mistakes in real time, and connect providers to deeper intelligence while they work. For instance, a clinician could pause during dictation and ask an AI assistant a question about the patient’s history, get reminded of key details from a complex treatment course, or surface information that might otherwise require digging through the chart. In the right workflow, AI can also support clinical decision-making by helping providers quickly access evidence-based treatment recommendations in real time. The system could also help catch missing elements, identify documentation gaps, or prompt providers to include details that affect compliance, coding, and reimbursement.

 When dictation sits inside a connected AI platform, it becomes part of a smarter documentation ecosystem that can work alongside ambient capture, AI assistants, and downstream workflows in a way that standalone tools cannot.

The goal is a more complete path forward

I do think the industry will continue moving toward broader AI adoption in documentation. Over time, more providers will shift toward ambient workflows because they open the door to much more advanced capabilities. But that future will come faster if we acknowledge where clinicians are today and give them the tools that fit into real practice patterns right now.

The goal should be simple: give every provider a documentation experience that works for their specialty, their setting, and their workflow. When you do that, you are building a more complete path forward for clinical documentation. This is exactly what we offer at Commure by rolling out dictation directly inside our Ambient AI solution.

Oncology documentation is uniquely complex compared to other ambulatory specialties. Every visit draws on months or years of prior treatments, imaging, pathology, lab results, and evolving clinical decisions. Oncologists must synthesize dense patient histories, manage long treatment arcs, and coordinate across multidisciplinary teams, all while maintaining meaningful patient connections.

As oncology practices look to reduce the administrative burden of clinical documentation without sacrificing clinical rigor, Ambient AI is emerging as a critical foundation for modern cancer care. However, off-the-shelf AI documentation solutions aren’t set up to support the complexities of oncology.

Commure’s Ambient AI is already being used across a growing set of oncology environments, from community clinics to national enterprises, including practices within the US Oncology Network, Cardinal Health, City of Hope, and dozens of multi-specialty IDNs such as HCA Healthcare and TriHealth. 

Meeting the Complexity of Oncology Documentation

Ambient AI solutions have rapidly gained traction to help alleviate the administrative documentation burden facing oncologists, but not all solutions are ready for the complex oncology environment. Generic templates miss oncology-specific nuance and struggle to provide the same accuracy and conciseness of classic dictation.

Commure Ambient AI is built specifically for the realities of oncology care, where documentation depends on longitudinal context, precision, and preparation. It captures the full clinical dialogue, translating it into structured, consistent documentation that supports continuity across the entire cancer care journey.

The platform integrates with major EHRs and connects oncology data with Ontada McKesson and Onco EMR, enabling intelligent documentation that provides a seamless provider and patient experience.

Key oncology capabilities include:

• Flexible automation for all levels of complexity: Supports both fully autonomous Ambient AI and the human-assisted Ambient experience, allowing practices to match documentation support to visit complexity and clinician preference.
  
  
• Sub-specialty specific templates: Designed for medical, hematology, radiation, and surgical oncology workflows, these templates capture staging, treatment planning, toxicity assessments, response evaluations, and survivorship care.
  
  
• Ambient CareCues grounded in oncology best practices: Context-aware prompts that surface documentation gaps, lab interpretations, and follow-up needs at the point of care, grounded in clinical guidelines and shown only when relevant.
  
  
• Previsit Summaries: Generates concise, oncology-specific summaries ahead of the encounter, surfacing relevant history, treatment milestones, recent labs and imaging, and other key clinical context to help clinicians prepare more efficiently.
  
  
• Clinical Intelligence layer: Maintains a working memory of the patient’s oncology history, enabling Ambient AI to generate more informed, consistent documentation as care evolves.
  
  
• Autonomous Coding (in development): Automatically translates oncology documentation into accurate, compliant codes by accounting for staging, treatment complexity, toxicity grading, and longitudinal care context.

Together, these capabilities support clinicians before the visit with assembled patient context, during the visit with captured conversations, and after the visit with complete, consistent notes that carry forward across the patient’s care journey.

Proven Momentum Across Oncology

As oncology practices continue to evolve, Ambient AI is becoming a foundational layer that helps clinicians focus less on documentation and more on delivering high-quality, compassionate cancer care. It underscores a broader shift within oncology toward intelligent automation that supports clinicians without disrupting care delivery.

Ready to see what Commure Ambient AI would look like in your oncology workflows?
‍

Schedule a Demo

Tell us a little bit about yourself—what do you like to do outside of work?

Outside of the office, I’m an avid traveler with a goal to visit every state in the US (I’ve checked 10 states off the list so far!). I’m also a big motorsports fan and a self-proclaimed foodie who loves exploring new restaurants.

Photography is another passion of mine. I love capturing the essence of the places I visit. My ultimate goal is to curate a "travel wall" in my home, filled with physical prints of the moments and landscapes I’ve encountered on the road. It keeps me inspired and reminds me how big the world really is.

As a kid, what did you want to be when you grew up?

I’ve always been fascinated by how technology can be a lever to improve lives. I was definitely the "tech kid"; I actually built my first website back in 2012 using an early website builder. Even then, I knew I wanted to build tools that solved problems, though I didn’t yet realize those tools would eventually help clinicians and patients.

Describe a day in the life of your role.

As a Tech Lead, my role is a blend of high-level strategy and deep technical execution. I lead product roadmaps for major features, but I’m still very much "in the trenches" with my team.

On any given day, I might be "heads-down" tackling a complex feature or architecting base frameworks that allow other engineers to scale their work. I also spend a significant amount of time reviewing code and collaborating on technical designs with other teams. The goal is always the same: build cleaner, faster, and more intuitive software so that our users can spend less time on software and more time doing what they do best, providing care.

What made you decide to join Commure?

Commure sits at the perfect intersection of cutting-edge tech and meaningful impact. The realization that the code we write directly improves a patient’s experience is a massive daily motivator.

I was also drawn to the culture of extreme ownership. At Commure, engineers don’t just "write code"—they own the entire feature. We collaborate directly with Product, Operations, and Design to ensure we are building the best possible product for the healthcare industry.

How would you describe the Commure company culture?

Commure moves at an incredible pace. We are focused on getting things done the right way, as quickly as possible. What makes that work is our blameless culture. In a high-velocity environment, mistakes can happen, but at Commure, those moments are treated as collective learning opportunities rather than failures.

It’s also an incredible place for career growth. The hands-on experience here is unparalleled. I’m constantly learning, not just from our brilliant engineering team, but from leaders across the company who are absolute experts in their respective fields.

What advice would you give someone on their first day at Commure?

Just soak it in! Healthcare is an incredibly complex domain with layers of regulation and intricate workflows. My best advice is to never be afraid to ask "why." No question is too small, and curiosity is the fastest way to get up to speed in an environment that moves as fast as ours.

What has been your greatest accomplishment so far at Commure?

Watching the evolution of Athelas Air has been incredibly rewarding. We’ve scaled from a single customer to over 75 practices across 20+ states.

I’m also particularly proud of our work on the Commure Prescriptions engine. Many thought it was impossible to go live so quickly, given the regulatory hurdles, especially for controlled substances. However, by deeply immersing ourselves in the compliance requirements and leveraging our existing internal systems, we built a robust, successful product in record time. Seeing it live and in the hands of clinicians today is a huge win for the team.
‍

Interested in a career building the next generation of healthcare technology powered by AI? We are always looking for talented people across our departments.

Explore Career Opportunities

At the HIMSS session, “Expanding Patient Access and Reducing Costs with Interoperable AI Agents,” featuring Optimus Health Care and Commure, one theme emerged clearly: healthcare organizations are reaching a breaking point with administrative capacity.

Patient demand continues to rise, but staffing levels for call centers have struggled to keep pace, with a 35% annual turnover rate. The result is familiar across the industry: missed calls, long hold times, and administrative teams overwhelmed by routine requests.

The session explored how a new generation of AI-powered agents can scale call center capacity and improve access to care. Rather than simply routing calls or providing static chatbot responses, Commure’s Call Center Agents, part of Commure Engage, are designed to actively manage patient interactions, resolve common requests, and escalate complex situations when human attention is required. The goal is to improve patient access and experience without expanding staff.

Call Center Agents in Action

The session opened with a live demonstration of how Call Center Agents manage inbound patient calls in real time. The AI agent answers immediately, identifies the patient’s need, and guides the interaction to resolution—handling appointment scheduling, patient intake, department routing, and common questions through natural, conversational responses.

Rather than replacing staff, the agent resolves routine requests upfront, allowing teams to focus on cases that require human judgment and coordination. It can also respond to emotional cues, acknowledging frustration or discomfort, and is configurable to reflect each organization’s workflows and preferences.

The result is straightforward: calls are answered instantly, routine needs are handled without delay, and staff remain available for more complex patient interactions.

Optimus Health Care’s Perspective

For Optimus, improving patient access and operational efficiency has been a major priority. Gary Avery, Senior Director at Optimus, described the challenges many organizations face in managing high volumes of inbound patient communication.

“If patients are unhappy with long wait times and high abandonment rates, it pushes them to find another service provider.”

‍

Research data supports this, with 60% of patients abandoning their call after more than one minute on hold, meaning answers regarding their health or next steps on care get delayed. Often, patients must make multiple calls to address a single issue.

As Gary explained, traditional call center models often struggle to keep up with peak demand. When call volume spikes, staff members are forced into a reactive posture, handling repetitive inquiries while more complex patient needs compete for attention.

AI agents offer a different model. By automating routine interactions, organizations can maintain responsiveness even during peak demand.

While earlier on in their deployment of Agents, Optimus will measure success by looking at improvements in:

• Patient satisfaction scores and feedback
• Call abandonment rates
• Scheduling and fill rates

“In order for us to continue our mission as an FQHC, we absolutely have to have patients come through our doors.”

‍

Gary emphasized that successful AI deployment requires early involvement from a broad group of stakeholders—including front office registrars, practice managers, clinical teams, IT teams, and operational leadership—to ensure the solution reflects real workflows, incorporates staff needs, and minimizes implementation issues.

The Impact of Call Center Agents

The operational impact of AI agents becomes particularly clear when applied at scale.

Across customer deployments using Commure Agents, organizations have observed significant improvements in how patient calls are handled. Agents provide 24/7 coverage, ensuring calls are answered even outside normal office hours. 

For healthcare organizations managing large call volumes, this can translate into meaningful operational efficiency. Observed customer performance indicate:

• 800 labor hours saved per 10,000 calls handled
• $240,000 in annual labor savings at same volume
• 30-80% of inbound calls can be resolved without staff intervention, depending on workflow design 

A New Layer of Healthcare Operations

The session underscored an emerging shift in how healthcare organizations think about AI. For years, much of the focus has been on clinical documentation or analytics. But AI agents represent something different: operational intelligence applied directly to the front door of care delivery. By answering calls, resolving routine requests, and routing patients efficiently, agents can extend the capacity of administrative teams while improving the patient experience.

For organizations struggling with patient access and administrative workload, the emergence of AI agents may represent one of the most practical tools available today to solve one of healthcare’s most persistent operational challenges.

You likely had several options — why did you choose Commure?

‍Gautam Pradeep, Senior Software Engineer (BS Computer Science & Master's in Management Science & Engineering): I cared about healthcare, and I had worked in this field before. Everyone I spoke to about Commure emphasized how the culture fuels you to learn, grow, and become a stronger version of yourself every day. I was motivated by a challenge and was excited to dive deep into the field. I was also very excited about an in-person culture as my first full-time job.

Sabina Aliev, Senior Manager, Implementation (Master's in Community Health and Preventive Research): I knew I wanted to work in healthcare as I’d seen the inefficiencies in the system firsthand, and those were the problems I wanted to help solve. What drew me to Commure was that the vision felt bigger. It wasn’t about fixing one narrow issue, but building an ecosystem to tackle healthcare inefficiencies from multiple angles. That felt ambitious in the right way. Ownership was also a big factor. I kept hearing that you’re not boxed into one function. You collaborate across teams, shape product and process, and actually own things end to end. It felt like a place where I could have a real impact pretty quickly.

Luke Pattan, Vice President, GTM Ops (Master's in Business Administration): I chose Commure because of the opportunity to have a much broader impact in healthcare through software. In my previous roles at companies like Capsule and Charlie Health, impact was often constrained by human capacity—whether that was filling prescriptions or delivering therapy sessions. With software, you can scale improvements across thousands of providers and patients simultaneously. Commure stood out as a company where those scaling dynamics were already taking hold. It felt like a chance to apply my background while operating in a much higher-leverage environment.

How did Stanford prepare you for working at Commure?

Gautam: I was used to the idea of wearing many hats and taking on whatever roles I needed to. Whether that was a heads-down engineer, talking to customers, or interviewing fellow potential colleagues. Stanford has a strong culture of building well-rounded people. I think being able to tackle challenges across the stack and becoming comfortable being thrown into unfamiliar territories is an advantageous skill.

Sabina: Stanford taught me to look at problems from all sides. We were constantly asking: What are we actually trying to solve? Who are the stakeholders? What incentives are driving behavior? What are the second-order effects? I learned to think in systems, not in silos, and to get comfortable with messy, multifaceted problems. I also did my thesis in partnership with Omada Health, which gave me early exposure to how technology can solve real healthcare challenges. That connection between systems thinking and real-world innovation stuck with me.

Luke: Stanford prepared me by immersing me in the intensity and ambition of Silicon Valley. It gave me firsthand exposure to world-class operators, engineers, and investors, many of whom reflect the same mindset you see at Commure. The GSB ethos – “change lives, change organizations, change the world” – maps closely to what Commure is trying to achieve in healthcare. I also developed a strong foundation in managing and scaling teams, which has been directly applicable. Just as importantly, it taught me how to operate in fast-paced, high-expectation environments with a bunch of people who’re way smarter than you!

What is something you are really proud of accomplishing?

Gautam: I built out a new feature that unlocked a lot of market potential for Scribe that allows clinics with multiple doctors and multiple MAs, PAs, and medical scribes to integrate the app into their workflows collaboratively. It took a lot of scoping, cross-team communication, and speed – without compromising quality. Have seen a lot of doctors use it and enjoy the flexibility it has provided to their workflow 

Sabina: The discovery work I’ve done onsite with clients and the early testing has helped shape our product. Spending time in the field, observing workflows, and gathering real provider feedback has allowed me to surface needs in a tangible way. Features like macros, CareCues, and carry forward all came from listening closely to customers and bringing those insights back to our product and engineering team. 

Luke: I’m particularly proud of the team we’ve built within GTM Operations. Watching early-career team members take on larger responsibilities and grow into leaders has been incredibly fulfilling. I’ve also operationalized and up-leveled key functions like RevOps and Enablement, and built a Marketing function (including branding, events, and digital growth) from scratch. Seeing those systems drive quota and team performance has been a major milestone. It’s been exciting to build something foundational that the company can continue to scale on.

What’s something you love about your team that has nothing to do with work?

Gautam: They are all so down-to-earth and kind. I have 1:1 relationships with each team member. Coming in with that looming dread of parting ways with all your college friends, I genuinely felt welcomed and a strong sense of community.

Sabina: Honestly, everyone just really cares. People get genuinely excited about the impact we’re having on providers, and that energy is contagious. The team is just full of really good humans. Everyone is helpful, low ego, and easy to talk to.

Luke: One thing I love is how strong the New York City presence is on the team. It brings a unique energy – people are driven, scrappy, and know how to work hard. There’s also a shared appreciation for enjoying time together outside of work, whether that’s dinners or nights out. That balance of intensity and camaraderie makes the team special. It creates a culture that’s both high-performing and genuinely fun.

‍What would you tell another Stanford student considering Commure today?

‍Gautam: If you like to learn, work hard, and make a real-world impact - come join. Many companies like to flaunt that they are impactful, but seeing doctors get hours of their day back to be with their families makes all the work worth it. It’s one thing to hear about social impact from inside the company or an elite school. It’s another thing to hear it directly from the real people bearing the fruits of your labor.

Sabina: If you care about healthcare and want real ownership early on, this is a great place to be. You won’t be stuck in a tiny corner of a big machine. You’ll be close to the product, the customers, and the decisions. It’s fast-paced and sometimes messy, but you’ll learn a lot, quickly. If that excites you more than having everything perfectly structured, it’s a really fun place to grow.

Luke: I’d tell them that Commure is a place where performance and impact truly matter. It’s a no-nonsense environment where success comes from delivering real results for customers. If you’re excited by hard work, it’s an incredible place to grow quickly. You’ll be pushed outside your comfort zone, but that’s where opportunity lies. For someone who wants to build, learn fast, and make a tangible impact, it’s a great fit.

Tell us a little bit about yourself—what do you like to do outside of work?

Outside of work, I’m definitely a social person who thrives on being around people. Whether it’s grabbing dinner at a new spot in the city or driving across the bridge to Tiburon for the day, I love hanging out with friends and making the most of my time here in the Bay Area.

Beyond the social scene, I love spending time outdoors, especially living near the coast. Having grown up surfing in SoCal, being around the beach has always been a big part of my life. I also enjoy going on walks and exploring scenic spots around San Francisco.

I am a big sports fan as well. Whether it is football, basketball, soccer, or baseball, I love watching games with friends and keeping up to date with what is happening. For me, it is a great way to unwind and spend time with the people I care about.

As a kid, what did you want to be when you grew up?

When I was younger, I always wanted to be a sports broadcaster. I specifically wanted to be like Scott Van Pelt and host SportsCenter every night. I loved the idea of being on television, covering sports, and telling the stories about the biggest moments that day. While my career ended up taking a different path, that early interest definitely shaped my love for communication and storytelling, as well as never making me afraid of the moment. Maybe a podcast one day?

Describe a day in the life of your role.

I currently serve as the Sales Manager for the Commure Ambient AI team. My role focuses on supporting our Account Executives and helping them understand the best way to position and sell the product while guiding deals through the sales process.

When I first joined the company nearly three years ago, we were in the very early stages of building the go-to-market motion for this product. Since then, I have worked hands-on with the team to develop a repeatable process that allows us to convert opportunities at an above-average rate and deliver real value to our customers.

On a day-to-day basis, I collaborate with our sales team on strategy, help guide deals forward, assist with customer communication, and ensure we are following the sales motion that has proven successful. A big part of my role is helping the team stay consistent, improve their approach, and ultimately close more deals while delivering a great experience for providers.

What made you decide to join Commure?

What really convinced me to join Commure was visiting the office and seeing the team in action. There was an energy and sense of momentum that stood out immediately. Everyone in the office was working hard toward the same mission, and you could feel how quickly things were moving.

Another big factor was the product itself. Being able to sell something that genuinely improves the lives of healthcare providers is incredibly motivating. Our Ambient AI tool meaningfully improves providers’ daily workflows and delivers a clear return on investment, leading to happier customers and stronger long-term partnerships. It is extremely rewarding to work on something that delivers such a clear and positive impact.

How would you describe the culture at Commure?

The culture at Commure is incredibly fast-paced and driven, but in a very positive way. Speed above all else is one of our main mantras. The team is made up of people who move quickly, learn quickly, and are focused on winning together.

There is a strong sense of momentum across the company as we continue to scale and improve the product suite. Everyone is aligned around building something meaningful for healthcare, and that shared mission creates a culture of accountability, collaboration, and continuous improvement.

What advice would you give someone on their first day at Commure?

My advice would be to come in ready to contribute and hit the ground running. No matter what role you are in, the people who succeed here are the ones who take initiative and consistently deliver results.

One piece of advice that Deepika, our co-founder and COO, shared with me early on was the importance of consistency. If you consistently show up, execute, and deliver results over time, there is a lot of opportunity to grow here. That mindset has really stuck with me, has helped guide my own career at Commure, and has proven to be very true.

What has been your greatest accomplishment so far at Commure?

One accomplishment I’m particularly proud of is that I have never missed my quota throughout nearly three years at Commure, a streak I believe is a company record. Maintaining this level of performance and consistency is something I have always taken very seriously and will always strive to continue.

I have also been honored to receive a few internal awards, including the Scribe GOAT Award in 2024, which meant a lot to me.

Beyond individual milestones, one of the most rewarding parts of my journey has been helping build and grow the AI Scribe business since its early days. Seeing how far the product and team have come over the past few years and now having the opportunity to lead and support a talented group of account executives has been incredibly fulfilling.
‍

Interested in a career building the next generation of healthcare technology powered by AI? We are always looking for talented people across our departments.

Explore Career Opportunities

At HIMSS, healthcare leaders from a broad range of organizations shared how they are evaluating Ambient AI as a promising new component of care delivery operations.

To dive deep into practical strategies, Commure hosted a panel session, “The Ambient AI Playbook: From Rural Care to Enterprise Scale,” featuring:

• Vikesh Tahiliani, MD, MBA, VP of Clinical Documentation Transformation at HCA Healthcare Digital Transformation & Innovation
• James Wellman, CHCIO, VP and CIO at Nathan Littauer Hospital and Nursing Home
• Jamie Colbert, MD, MBA, Chief Medical Officer for Provider and Patient Experience at Commure 

Both HCA Healthcare and Nathan Littauer discussed ambient AI in the context of clinical documentation workflows, offering an important perspective for health systems evaluating how AI can integrate into existing environments.

Despite their scale differences—HCA Healthcare operates 190 hospitals across 19 states and the United Kingdom while Nathan Littauer is a rural community hospital in upstate New York—both organizations are focused on the same industry-wide challenge: returning time to clinicians while ensuring accurate, timely documentation within their workflows.

Building an AI Strategy at Enterprise Scale: HCA Healthcare

HCA Healthcare has taken a deliberate approach to AI adoption through its Digital Transformation & Innovation (DT&I) organization, which identifies priority areas for care transformation, including clinical documentation.

After considering many potential partners, the organization selected Commure based on three defining strengths: confidence in its leadership, the demonstrated performance of its ambient technology, and its willingness to engage in a true co-development partnership.

For HCA Healthcare, that partnership model was essential. Ambient AI cannot simply be installed and expected to scale uniformly across a large health system. Each clinical environment operates with its own workflows, demands, and documentation patterns. Success depends on shaping the technology around the realities of patient care, not asking clinicians to conform to the technology.

Working closely with DT&I leadership and frontline care teams, Commure used direct provider feedback to iteratively refine its product and align it with real-world documentation workflows across the enterprise. That work also guided the necessary integration within HCA Healthcare’s existing EHR landscape.

This effort represents an important step in HCA Healthcare’s clinical documentation transformation. More broadly, it advances the organization’s vision for an intelligent documentation ecosystem that reduces administrative and cognitive burden, captures the full complexity of patient care and helps identify and close documentation gaps.

A Focused AI Roadmap for Community Healthcare: Nathan Littauer

Nathan Littauer approached AI adoption through a focused four-pillar strategy aligned with the full patient journey:

• AI call center agents
• Ambient clinical documentation
• AI assistants for searching and summarizing medical records
• Revenue cycle optimization

The goal is to deploy AI in areas where it can support measurable improvements to clinician workflows and operational efficiency. As these initiatives roll out, the organization is establishing clear metrics to evaluate impact across each focus area.

Within the AI call center, leadership is measuring improvements in patient access, including response times, reliability during peak demand, and the ability to provide consistent 24/7 coverage despite staffing constraints.

For ambient documentation, the focus is on reductions in physician documentation time, improvements in provider satisfaction, and the potential to support clinician recruitment and retention.

AI assistants are designed to help clinicians efficiently interpret large volumes of external records without overwhelming the EHR workflow.

Finally, within revenue cycle operations, the organization will track documentation completeness and coding accuracy, using AI to identify gaps earlier and support more reliable reimbursement.

Measurable Impact on Documentation and Clinician Time

HCA Healthcare is testing Commure Ambient AI with 1,400+ physicians across 50+ hospitals and three care settings, and early results show measurable improvement in clinical documentation quality while delivering time savings to providers. Clinical documentation accuracy, measured using the F1 score where 0.0 is low and 1.0 is best, has surpassed 0.8 and is approaching 0.9, exceeding typical industry benchmarks.

Efficiency gains are equally significant:

• ~8 minutes saved per history and physical note
• ~2.7 minutes saved per progress note
• 87% timely note completion rate, up from 69%

“Some of our data is showing us there is substantial time savings for the physicians. Anecdotally we’ve heard 2-3 hours per day per hospitalist,” shared Dr. Vikesh Tahiliani, VP, Clinical Documentation Transformation, HCA Healthcare Digital Transformation & Innovation

Nathan Littauer is earlier in its ambient AI deployment journey but is already seeing strong feedback from Emergency Department physicians participating in early pilots within its clinical documentation environment.

Providers report that ambient documentation is simplifying note creation, often requiring only minor edits after the AI-generated draft.

“It’s truly giving time back to our providers. That improves satisfaction and I believe it will become a powerful recruiting tool in the future,” said James Wellman.

The Key to Successful AI Adoption

One clear lesson from both organizations is that technology alone does not drive adoption.

Successful deployments require strong leadership commitment, thoughtful change management, and close collaboration between clinicians and technology teams. For health systems, integrating ambient AI into existing documentation workflows—rather than requiring clinicians to adopt new processes—has been an important factor in adoption.

Most importantly, ambient AI should deliver a clear benefit to providers. When clinicians see that the technology reduces documentation burden and supports their daily workflow, adoption follows naturally.

For health systems navigating AI transformation, that principle remains an important measure of success, because it may directly translate to better care and experiences for patients and physicians.

‍

*These results are specific to HCA Healthcare’s implementation and based on internal data and methodology, and are not necessarily indicative of results other organizations should expect. Outcomes will vary depending on a range of factors, including workflow design, specialty, user adoption, and technology environment.