Commure Up Close: Jordan Turns Momentum Into Results

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.

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*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.

Why do so many Boston alums choose to be at Commure? We asked a few of them to share their perspective.

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

Apoorva Tamaskar, Software Engineer (MS Computer Science): All of my family members work in Healthcare, so Commure's focus on the industry resonated with me. Beyond that, I was drawn to the company's growth and values—the fast pace nature, the emphasis on metrics and monitoring, and the chance to implement real, opinionated solutions that chip away at the bloat in healthcare costs. Having worked in both big tech and startup environments, I enjoy the latter style and pace more.

Vaidehi Shah, Operations Manager (MS Applied Data Analytics): Healthcare Tech was something I was inclined towards. I wanted to start my career working in a start-up rather than a big-tech cause of the opportunities to grow, learn and up-skill while working on a broader responsibility set.

Utkarsh Shrivastava, Software Engineer (MS Computer Science): I chose Commure because I wanted to begin my career in a fast-paced healthcare startup where I could take ownership early and work on problems with real, tangible impact. The opportunity to contribute directly to products that improve how healthcare is delivered made it an easy decision. That level of responsibility and visibility is rare in more traditional paths. I valued the chance to grow quickly while contributing to something that delivers immediate real-world value.

How have you grown and what is something you are really proud of accomplishing?

Apoorva Tamaskar: I've built a deep familiarity with business logic, database internals, CI/CD, Kubernetes management, and networking. I’ve also grown into mentoring and helping junior engineers on improving their systems. One thing I'm especially proud of is improving our CI/CD framework in a way that made the developer experience better for everyone at Commure.

Vaidehi Shah: I’ve developed a much stronger understanding of how a company operates and how business decisions are made. I’ve also grown significantly in my soft skills, especially in my confidence when speaking with clients and handling escalations. I’ve learned how to step back and think about problems at a higher level, and when it’s appropriate to zoom out versus dive into the details.

Utkarsh Shrivastava: I’ve grown tremendously by learning how to ship fast, reliable software in a high-impact environment. Beyond writing code, I’ve been involved in requirement-gathering sessions with doctors and other stakeholders, which gave me firsthand insight into how the healthcare industry operates. That exposure expanded my perspective from purely technical execution to product thinking and cross-functional collaboration. I’m proud to have worked on the EHR from its earliest stages and to see it scale into a mature, growing platform. Contributing to a system through multiple phases of development - from initial build to expansion - has been incredibly rewarding. It allowed me to experience the full lifecycle of building software in a dynamic environment.

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

Apoorva Tamaskar: Everyone has passions outside of work, and what I love is that people are genuinely happy to share them—whether that means teaching you something new or inviting you to participate.

Vaidehi Shah: I love how easy it is to laugh together. Whether it’s random Slack jokes or quick chats before meetings, it never feels stiff or overly formal.

Utkarsh Shrivastava: The people on my team genuinely enjoy working together. There’s a strong sense of camaraderie and mutual support. We push each other to do our best while keeping the environment fun and energizing.

What would you tell another Boston University student considering Commure today?

Apoorva Tamaskar: You'll be surrounded by engineers who are genuinely passionate about what they're building and always looking to improve. You'll have the chance to own multiple features and see firsthand how a product grows organically—challenges and all.

Vaidehi Shah: This is a great place to learn, grow, and continuously upskill. At the same time, the emphasis on “speed above all” and operating in a fast-paced environment is very real and shows up in day-to-day work.

Utkarsh Shrivastava: If you want to make a real impact early in your career, take ownership of meaningful projects, and work on technology that improves people’s lives, Commure is an incredible place to grow.

Healthcare is hard. Anyone who has worked in the industry long enough eventually arrives at the same conclusion.

Recently, while pulling a list of ambulatory providers across New York and New Jersey, I ran into another reminder of why. I was reviewing the electronic medical record (EMR) systems used across some of the largest outpatient organizations in the region. These are not tiny practices—they represent some of the most established ambulatory groups in the market.

Even within that relatively small sample, I counted 13 different EMR systems performing essentially the same functions for very similar organizations.

That’s before accounting for the long tail of small and medium-sized practices, where the variety expands even further.

The Hidden Cost of EMR Fragmentation
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Many of these EMR systems are serviceable. Some are even good. But a number of them are simply outdated.

When provider organizations rely on sub-optimal technology, the result is technical debt: systems that are difficult to maintain, expensive to modify, and resistant to improvement. Operationally, that debt accumulates over time.

Yet replacing an EMR is often very challenging. The switching costs are enormous. Data migration, workflow retraining, regulatory compliance, and financial risk all make replacement a daunting undertaking. As a result, most healthcare organizations do what they must: they adapt and make the best of what they have.

This reality creates a complicated environment for innovation.

The Real Challenge of EMR Integration
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For healthcare technology companies building tools on top of existing EMRs, the primary hurdle is integration.

Startups frequently claim they can “integrate” with EMRs. But the term often masks a much narrower capability. In some cases, integration might mean nothing more than receiving a basic HL7 schedule feed—a small slice of data that provides limited operational value.

True integration is far more complex. It requires the ability to:

• Extract clinical and operational data from multiple sources
• Transform that data into usable formats
• Send information back into the EMR without disrupting workflows
• Maintain reliability across dozens of different vendor systems

Achieving this at scale is one of the central technical challenges in healthcare IT.

A Different Approach to EMR Connectivity
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At Commure, we’ve approached this problem by investing heavily in integration infrastructure.

Our AI-enabled integration engine, Colossus, connects with more than 60 commercially available EMR systems, including MEDITECH, Epic, athenahealth, and more. Rather than relying on a single integration pathway, it supports multiple connection types, including:

• HL7
• APIs
• Front-end integrations
• DOM injection

By extracting, transforming, importing, and validating data across these methods, we can move information reliably between systems. That allows healthcare organizations to deploy new technology without being constrained by the limitations of their existing EMR environment.

The result is practical: workflows that once required manual effort can be automated, and clinicians can spend more time focused on patient care rather than documentation and system navigation.

Progress in a Difficult Industry
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Healthcare will likely always be complex. Regulatory demands, legacy technology, and operational scale make it one of the most challenging industries to modernize.

But complexity does not have to mean stagnation. With the right infrastructure, and a willingness to confront the messy reality of fragmented systems, it becomes possible to build technology that works across the healthcare ecosystem.

Healthcare is hard. But progress happens by solving one problem at a time.

Ambient AI has the potential to give clinicians something many of us thought we had lost: time.

Time to look patients in the eye instead of the computer screen, to think more carefully about clinical decisions, or to finish a shift without hours of documentation waiting at the end. But like any clinical tool, the value you get from ambient AI depends on how you use it.

As a hospitalist who uses ambient AI regularly, one lesson has become clear: the quality of the note is only as good as the input we provide. It’s not enough to press “record” when you walk into the room and stop when you leave. The best results come when you institute a few minor changes to your workflow to more fully take advantage of the power of ambient AI technology. Here are five simple habits that can dramatically improve the quality, accuracy, and completeness of AI-generated clinical notes.

1. Narrate Your Chart Review

The documentation process doesn’t start when you enter the patient’s room. Before I step inside, I start recording while reviewing the patient’s chart in the EHR. As I scan labs, imaging, and medications, I verbalize the relevant findings.

For example: “Patient admitted with pneumonia. White blood cell count trending down. Chest X-ray shows improving consolidation. Currently on ceftriaxone and azithromycin.”

This helps the AI capture the clinical context—the why behind the visit—before the patient conversation begins. It often produces a stronger HPI and clinical background without any extra work later.

2. Builds Patient Trust with Transparency

Patients are generally curious about the technology when they see it. Even if consent is already documented, I always ask for verbal permission at the start of the encounter and briefly explain what the tool is doing.

Something simple works well: “I use a tool that records our conversation and helps generate my clinical note so I can focus on our conversation instead of typing. Is that okay with you?”

Patients almost always appreciate the explanation. More importantly, they understand why I’m able to maintain eye contact instead of staring at a screen. Transparency turns the technology into a trust-building moment rather than a distraction.

3. Talk Through the Physical Exam

One habit that improves both documentation and patient understanding is thinking out loud during the physical exam. For instance: “Your heart sounds are normal. I’m hearing a little wheezing in the right lower lung.”

This approach accomplishes two things simultaneously. It keeps the patient informed and it gives the AI clear, structured data for the physical exam section of the note. Instead of trying to reconstruct the exam later, the documentation writes itself in real time.

4. Review the Plan in the Room

One of the most common causes of patient messages after discharge is simple confusion about the plan. To prevent this, I walk through the assessment and plan with the patient, and often their family, before the visit ends. Discussing the next steps out loud provides clarity for patients and allows the AI to capture  a thorough plan directly from the conversation.

When done well, the plan section of the note is already complete when the visit ends.

5. Capture the “Post-Visit” Thoughts

Sometimes there are elements of clinical reasoning you may prefer not to discuss in detail while the patient is present. In those situations, I simply keep the recording running for about 30 seconds after leaving the room and dictate a quick summary of my thinking.

This brief “brain dump” captures the medical decision-making while it’s still fresh and ensures the cognitive work behind the plan makes it into the note.

Better Input, Better Output

When clinicians first adopt ambient AI, the instinct is to treat it like a passive recorder.

In practice, the technology works best when clinicians actively narrate the clinical encounter. With a few simple habits—verbalizing chart review, explaining findings, and summarizing plans—you can dramatically improve the output while simultaneously enhancing the experience for patients.

Because of these minor changes to my workflow, when I walk out of the exam room the patient is more informed as to their clinical situation and plan of care. And I have a clinical note that is 95% complete. That means less time documenting, and more time face-to-face with my patients.

Ambient AI clinical documentation is one of the most rapidly adopted AI solutions in healthcare, proving invaluable to reduce documentation time and improve accuracy. With over 50+ ambient AI solutions in the market, hospitals and health systems are looking beyond basic functionality. They require a partner equipped to support clinical documentation across care settings and specialties, integrate deeply within MEDITECH, and extend value well beyond the note through downstream automation, structured data capture, and enterprise-grade customization designed to scale.

This is especially true in the wide MEDITECH ecosystem, where organizations of all types are turning to Commure Ambient AI: from HCA, the nation’s largest for-profit health system, to vital rural community hospitals. As a trusted MEDITECH Alliance partner, Commure Ambient AI is integrated into both MEDITECH Expanse and Expanse Now. 

Commure’s position in the MEDITECH market reflects breadth of deployment and depth of experience. Commure has earned Straight A’s from KLAS for ambient documentation, was the first-to-market pioneer of the ambient AI space within healthcare, and today supports more MEDITECH providers than any other ambient documentation partner currently available.

Scale That Spans the Spectrum of Care

Commure is currently deployed across a diverse map of care settings throughout the U.S., with proven impact in deployments across inpatient and outpatient settings, and countless specialties including hospitalists, cardiology, emergency medicine, orthopedics, and more.

• Enterprise Scale: We are proud to support the largest MEDITECH organizations in the U.S., including HCA Healthcare, deploying solutions that withstand the pressure of high-volume, high-complexity environments.
• Regional Powerhouses: Mid-sized and regional health systems, such as DRH Health and Bethany Children’s, are utilizing our platform to standardize care and streamline operations across ambulatory and specialty departments.
• Community & Rural Impact: At facilities like Val Verde Regional Medical Center, Commure is a force multiplier, allowing clinicians in resource-constrained environments to focus entirely on patients rather than screens.

Measurable Impact Across MEDITECH Organizations

The impact of Commure Ambient AI is reflected in both operational metrics and how clinicians describe their day-to-day work after adoption. Across MEDITECH organizations of varying size and complexity, the platform has delivered measurable improvements in documentation efficiency, clinician satisfaction, and care delivery.

Supporting Practice at the Top of License

By shifting the balance away from clerical work, ambient documentation allows clinicians to focus more fully on clinical judgment, patient interaction, and decision-making. At Medical City Dallas, part of HCA Healthcare’s North Texas Region, the introduction of Commure Ambient AI resulted in:

• 18% reduction in time spent completing histories and physicals
• 11% increase in H&Ps signed within one week

“I never want patients to feel like I'm rushed. This helps make sure they don’t.”
— Dr. Geoffrey Burnham, Hospitalist Director, Medical City Dallas

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Streamlining Longitudinal Chart Review

The operational value of Ambient AI extends beyond drafting documentation. Forward-thinking health systems are recognizing that documentation is only one component of administrative burden inside the EHR.

At Valley Health System, leadership has emphasized that information retrieval and chart navigation often consume as much time as writing the note itself.

“Of the time spent in the EHR on administrative tasks, documentation is one part of it,” said K. Nadeem Ahmed, MD, System Chief Medical Information Officer at Valley Health System. “Searching for information and reviewing the medical record consumes far more time—and cognitive burden—than simply writing the note.”

Commure delivers measurable value not merely by accelerating note creation, but by synthesizing patient context, reducing time spent navigating the record, and supporting clinical decision-making within the native MEDITECH workflow.

Improving Clinician Retention and Satisfaction

For many clinicians, documentation burden is a deciding factor in whether they remain in practice. At Pioneers Medical Center, Commure Ambient AI has helped restore sustainability to clinical work by reducing after-hours charting and cognitive load.

“I was getting to the point where I was considering changing my career because I had no life… I’m now incredibly happy. I left for a two-week vacation with absolutely nothing on the table and could walk away without any stress.”
— Andrea Hazelton, Nurse Practitioner, Pioneers Medical Center

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Saving Meaningful Time at Scale

Time reclaimed during the clinical day compounds quickly in high-volume environments. At Salina Regional Health Center, clinicians report measurable reductions in documentation time per encounter, translating into hours returned each week.

“The solution is super user friendly and easy to navigate. Seeing 30 patients a day, it saves around three minutes per chart—roughly 90 minutes every day. That’s time that can be spent doing something more valuable.”
— Dr. David Dupy, Urgent Care Physician, Salina Regional Health Center

These outcomes reflect what happens when Commure Ambient AI is deployed with sufficient integration depth and operational rigor to be an infrastructure that clinicians can rely on. 

Enhancing Note Quality and Accuracy

For regional health systems, the value of Ambient AI extends beyond efficiency. At DRH Health, adoption of Commure Ambient AI was framed as a strategic investment in elevating the standard of clinical documentation across the organization:

“Commure’s Ambient AI offers an intuitive, clinician-centered solution that eliminates administrative burden while enhancing the quality and accuracy of every note. For a regional system like ours, it’s an important investment in both our people and the patients we serve.” – Roger Neal, Vice President and Chief Operating Officer at DRH Health

Leadership teams are increasingly focused on the integrity, completeness, and clinical accuracy of the medical record, recognizing that documentation quality underpins compliance, coding precision, continuity of care, and long-term patient outcomes.

Deeply Embedded Within MEDITECH Workflows

Commure Ambient AI operates inside MEDITECH Expanse and Expanse Now, supporting the full lifecycle of clinical documentation. It spans from pre-visit context through chart completion and downstream use, without requiring clinicians to leave their native workflows.

Rather than treating the note as an isolated artifact, Commure supports the full clinical documentation lifecycle: preparation, encounter capture, chart completion, and downstream use.

• Adaptive Ambient AI documentation that reflects clinical practice
  Providers retain control over note structure, detail, and formatting based on specialty and personal workflow. The system learns from edits over time, enabling consistency without enforcing rigid templates or standardization.
  
  
• Configurable carry-forward logic to reduce redundancy
  User-defined rules determine what information persists across encounters and how it is presented, minimizing repetitive documentation while preserving clinical accuracy.
  
  
• Inline clinical guidance during chart completion
  As documentation is finalized, the platform surfaces real-time Ambient CareCues for missing elements or quality considerations, supporting documentation integrity and compliance without adding external review steps.
  
  
• Encounter-level coding intelligence embedded in workflow
  Autonomous Coding CPT and ICD-10 suggestions are generated directly from the clinical narrative, reducing downstream rework and supporting revenue integrity without increasing clinician burden.
  
  
• Longitudinal patient context at the point of care
  AI-powered Assistant feature synthesizes information across the patient chart, allowing clinicians to query history in natural language, receive responses grounded directly in MEDITECH data, guardrail with ensembles of clinical models.

Integration Depth to Support Scale and Complexity‍

Commure’s integration approach is not one-size-fits-all. Depending on organizational needs, the platform leverages structured data mapping through its API (supporting discrete HPI, ROS, physical exam elements, orders, coding, clinical impressions, and filing patient instructions in A&P or problems to a document) or advanced front-end automation. Forward Deployed Engineering teams work directly with health systems, including on-site engagement when needed, to ensure reliability across complex MEDITECH environments.

The collaboration between Commure and MEDITECH demonstrates the power of uniting Silicon Valley innovation with the pioneers who created and scaled the modern EHR. We are building a future where technology is invisible, but its impact is undeniable.

For provider groups utilizing MEDITECH Expanse, big and small, the question is no longer if they should adopt Ambient AI, but who has the proven scale, security, feature-set, and deep integration to support them for the long haul.

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

My name is Thiago, I’m a Brazilian software engineer based in Rio de Janeiro. Today I work as the Team Lead for the Front Office Experience team with Athelas Insights, Commure’s RCM software.

In my free time I like going to the gym, surfing, and, like any true carioca (a Rio local), spending as much time as possible at the beach. I also hang out with my friends a lot and really enjoy trying good restaurants and bars.

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

When I was a kid I wanted to be a petroleum engineer like my dad, but when I was 13 I started learning how to code and completely fell in love with it. I realized I really enjoyed the technical challenges and the process of breaking down complex problems and figuring out how to solve them.

Describe a day in the life of your role.

My day usually starts with reviewing the team’s open pull requests on GitHub, merging mine, and catching up on pending messages. After that, I block some focused time to work on tickets or make design decisions for ongoing projects. I also try to stay available to answer questions about our features and support the engineers whenever they need help. On top of that, I work closely with cross-functional teams, mainly Product and Operations, to design solutions together and align on expectations, priorities, and timelines.

What made you decide to join Commure?

I joined Athelas in June 2022 because I was looking for complex challenges that were also meaningful for society. The opportunity to help reduce bureaucracy in the U.S. healthcare system through software and AI, and ultimately lower costs for patients and clinics, really motivated me.

From my very first interactions with the company, I could tell I’d be working with a driven and collaborative team. I always say that the best part of my job is being surrounded by amazing people.

How would you describe the Commure company culture?

Commure’s culture is very focused on speed and ownership, which allows us to work across different fronts and create real impact. Before joining, I worked at a large company and realized I wanted to be in a startup environment where I could have more autonomy and responsibility.

Here, the hierarchy is very flat and any engineer is encouraged to bring ideas to improve the product and better serve our customers. That kind of proactivity and ownership is recognized and rewarded.

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

My advice would be to spend time talking to people who have been working on the product for longer to understand their motivations, goals, and how they think about our customers. Also, ask a lot of questions and stay humble, healthcare is extremely complex and it takes time to really understand the space. The important thing is not to give up!

What has been your greatest accomplishment so far at Commure?

The accomplishment I’m most proud of is building the eligibility system and the patient payment recommendation engine based on their insurance plan. Since I’m not a user of the U.S. healthcare system myself, understanding how everything worked in a different country was a huge challenge.

It took a lot of research and many iterations to get to where we are today. Seeing the product finally display detailed insurance benefits for each patient and generate smart, accurate charge recommendations that actually make sense was incredibly rewarding.

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

Sometimes the simplest things are best: spending time with my wife, two daughters, and dog. Commure keeps me busy, but I’m grateful I can still prioritize quality time and silly adventures with them.

I’ve worked part-time as a singer and music educator since 2007, mostly with professional choral ensembles and the occasional collaboration with dance companies and instrumental groups. Ask me about my Grammy or Super Bowl ad for some wild stories.

I co-founded an arts nonprofit in 2015 and have loved growing the organization, which was officially recognized by California last year for 10 years of contributions to the city of San Francisco.

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

The first problem I genuinely considered tackling was criminal justice reform, which initially put me on a law track: courses at Stanford Law School, a summer at the US Attorney’s Office in Washington, D.C., and a role at a boutique law firm in San Francisco.

Growing up in rural Maryland, I saw circumstances that I wanted to change and that I came to realize were a sample of well-known, complex, systemic issues. I also realized—somewhat quickly, unfortunately—that becoming an individual practicing attorney wouldn’t give me much leverage at scale, and that the legal industry structurally disincentivized technological innovation.

So I moved into the tech startup world, first in education and now healthcare for the past decade. I’d be thrilled if I found myself with another at-bat on criminal justice in my career.

Describe a day in the life of your role.

In my role as Director of Operations, I’ve gotten to build out several functions for our RCM and Athelas Air product lines: customer support, accounts receivable, scaled account management, and churn intervention.

On any given day, my teams and I might be root-causing user frustrations, normalizing fragmented data into new alerting systems, shaping the P&L for a new market segment, or flying out to see users’ workflows in person. At the end of the day, we’re building long-term retention infrastructure while raising the bar on essential functions for today’s customers.

What made you decide to join Commure?

If I have the privilege of choosing what I do for a living, why invest my life in anything but trying to help others in the most leveraged way I can? That philosophy has led me to seek out missions to gain leverage on massive, meaningful problems.

The breadth of Commure’s mission is absurdly ambitious: from “humble” (relatively speaking) beginnings in blood diagnostics to today’s staggering suite of products across ambient AI, provider and asset safety, medical devices, pharmacy, patient engagement, RCM, EHR, and more.

If we execute, upshots include:

• Business-in-a-box provider solutions to combat healthcare deserts,
• Unlocking AI applications with true end-to-end data of the patient journey,
• Earning a seat at the table with payers and policymakers,
• Advancing direct-to-consumer, insurance-free care,
• And more.

That’s impact at scale, with a proven, hungry team just getting started.

How would you describe the Commure company culture?

Commure is my third tech startup, and the fastest one yet. It’s a unique culture obsessed with getting more shots on goal on every possible surface: sometimes messy, and sometimes in need of recalibration, but the iteration is relentlessly fast for customers.

In all honesty, it’s not the right environment for everyone. But if you’re mission-driven and looking for ambiguous problems, a faster pace than feels comfortable, and outsized ownership, you'll find plenty of opportunity here.

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

Three things:

1. At all costs, figure out how things get done at Commure. Have 1:1s across departments and seniority levels. Shadow decision-making. Get on the board quickly with one customer-facing deliverable, no matter how ugly the process. The faster you learn, the quicker the path to real impact.
2. You have fresh eyes for the first week or two, and then you’ll never have them again. It’s tremendously valuable for new hires to observe, annotate, and question the status quo; it reflects how new customers experience our product, and surfaces technical and operational debt.
3. Set workback goals. Most new hires hit the ground running, but the best avoid tunnel vision by planning on multiple time horizons—hours AND days AND sprints AND quarters—to maximize their impact.

What has been your greatest accomplishment so far at Commure?

I’d say shifting habits in our midmarket business from resource lobbying to APIs: clear internal service layers with documented processes, SLAs, and escalation paths.

Defining protocols among eng, ops, and sales lets us build on top of reliable stacks, fund critical processes properly rather than off the side of people’s desks, and lower our default operating cortisol so true escalations carry real signal.

That, or the sheer volume of emojis I’ve added to our Slack instance.

Commure today announced Commure Pro, a fully integrated clinical intelligence platform built to help health systems increase revenue and reduce operational costs by improving physician efficiency and optimizing revenue cycle workflows.

Commure Pro brings together Commure’s AI-native capabilities—Ambient AI, Autonomous Coding, Charge Capture & Reconciliation, and Clinical Decision Intelligence—within a single experience powered by a modernized data architecture, integrating with existing EHRs to deliver patient data and advanced AI at the point of care. The result is a cohesive clinical intelligence and operations layer that improves physician efficiency and connects care delivery directly to revenue cycle workflows, including revenue integrity, charge capture, and coding. 

While Commure’s solutions can be deployed independently, Commure Pro is the all-in-one, ultimate experience for clinicians. It is built for complex enterprise environments where multiple EHRs, fragmented data sources, and disconnected workflows create friction for clinicians and operational teams alike.
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“We’ve built category-leading AI products across clinical documentation and revenue cycle,” said Dan Warner, President of Commure. “Commure Pro brings them together into a unified experience that bridges the complex and fragmented technology footprint of enterprise health systems.”

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Commure Pro is the evolution of Commure PatientKeeper

For more than 20 years, leading health systems relied on PatientKeeper to access patient data at the point of care and capture clinical work across environments. Commure Pro builds on that proven foundation, evolving it into a modern, AI-native platform designed for today’s scale and complexity, supporting over 30 million patient encounters annually.

PatientKeeper’s deep experience with interoperability and enterprise adoption now underpins a unified architecture that simplifies a health system’s tech stack, normalizes data across EHRs and systems, and enables AI to operate consistently across the care and revenue lifecycle. This approach is already delivering measurable results for leading health systems:

• Medical City Dallas (HCA Healthcare): Reduced H&P documentation time by 18% using Ambient AI, allowing providers to focus on patients rather than administrative work.
• Ob Hospitalist Group: Dropped charge entry time by 83% at initial sites, with Autonomous Coding generating 85% of CPT and ICD-10 codes directly from documentation.
• Leading NYC Health System: Increased average monthly charges by 20% and cut late filing denials in half by leveraging Charge Note Reconciliation.

What Commure Pro Delivers

Commure Pro aggregates Commure’s modular solutions into a single, connected workflow on top of a unified clinical data repository layer. Available across mobile and web, each capability is powerful on its own, but together they deliver maximum value:

• Ambient AI Scribing: Captures complex, multi-speaker encounters, generating high-quality, specialty-aligned notes in real time.
• Ambient CareCues & Clinical CoPilot: Surfaces documentation gaps, clinical insights, and context-aware prompts based on the complete patient history.
• Autonomous Coding: Automatically produces CPT, ICD-10, and modifiers directly from documentation.
• Charge Capture & Note Reconciliation: Continuously compares clinical notes to billing records to prevent missed charges and downstream denials. ‍
• Enterprise-Grade Interoperability: Operates across Epic, Oracle Health, MEDITECH, and mixed-EHR environments as a unified, intelligent workflow layer.

Built for the Most Complex Healthcare Environments

Commure Pro is designed for enterprise health systems that need a unified and comprehensive clinical and revenue experience across multiple EHRs.