How Clinicians at Medical City Dallas Are Reclaiming Time with MEDITECH-Integrated Ambient AI

Welcome to Commure Uncharted, a Q&A series where we sit down with healthcare industry thought leaders to discuss what the future of AI in healthcare could look like.

We are excited to be joined by Dr. Jean-Luc Neptune, MD, MBA. Dr Neptune has seen plenty of tech waves hit healthcare, but says this one feels different. As Executive Medical Director at Commure, he’s deep in the conversations shaping the future of AI-powered care. In this Q&A, he breaks down what’s more than just hype and how AI is reshaping trust, risk, and the role of the physician.

Q: What makes this wave of AI more transformative than past tech shifts in healthcare?

People forget how disruptive the mass adoption of the Internet was 20 years ago. It gave patients access to previously hard-to-access information, helped them look up symptoms or treatments, and shifted how they interacted with providers, for better and worse. But it didn’t really change how doctors practiced medicine.

What’s different now is that AI, especially the advances we’ve seen since the pandemic, is starting to shift how doctors actually think, diagnose, and recommend treatment.

We’re getting close to a point where patients could have healthcare encounters that are handled entirely by AI, without a human involved.

That kind of interaction would be a major shift from anything we’ve seen before.

If you had asked me five years ago whether a computer could handle an inbound patient question with 95% satisfaction, I would’ve said not a chance. But we’re on the verge of that now. We may not be ready to let AI run fully on its own, but the tech is at a point where it could handle a lot more than we’re currently allowing.

Q: Where do people most misunderstand AI’s role in clinical care?

The biggest thing people miss is how fast this technology is evolving. We tend to think about rate of change in linear terms, but tech often evolves in an exponential fashion. There have been decades of work behind the scenes on AI, and now it's finally starting to show up in real clinical settings. What feels advanced today will likely look basic in five to ten years or less. Most people aren’t prepared for how different things could look in a short period of time.

Q: As AI takes over more of the technical (administrative) tasks, what will define a great doctor?

What makes a great doctor hasn’t really changed; it’s still about communication. Patients remember the doctors who listened and connected with them. But the profession has long prioritized memorization and clinical reasoning. That’s what gets rewarded in medical school and residency.

As AI takes over more of those tasks, the real value will shift to how well a doctor can communicate, build trust, and leverage information.

When you encounter a brand-new patient in the clinic and you don’t know anything about that person, it takes skill and presence to collect what you need to make a diagnosis and build a care plan.

Beyond communication, doctors will need stronger management skills. Today, a typical primary care physician manages 2,000 to 3,000 patients. With the right technology to scale our clinical efforts, that number could grow massively - why not to 10,000 or more? AI can help identify who needs attention and when, but doctors will have to think more like care managers, not just clinicians. That shift isn’t emphasized in training today, but it’s going to become essential.

Q: Will physicians shift from diagnosing to orchestrating care?

I think you’d have to be naive to believe there won’t be a day when computers are better at diagnosis than people. We’re in the middle of that transition now as providers and patients are starting to see the potential, but are still adjusting to the idea.

At some point, maybe sooner than we expect, patients will trust the machine’s answer more than the doctor’s. Patients will ask their doctor, “What did the computer say?”

This mental shift happened long ago in areas like weather forecasting, where no one asks for a human opinion; they just check the model. Even as a physician, I’ve reached a point where I want to know what the AI thinks. When my wife had a mammogram recently, we opted for the AI readout (which cost an extra $25) because I believe it can add real value.

If AI handles more of the diagnostic work, then physicians will need to focus on what happens next. That means making sure patients get their medications, stay on their treatment plans, and understanding why they’re not following through if they aren’t. It also means shifting attention from what happens in the office to what’s happening outside the office. Patients spend most of their time outside the clinic, and that’s where their care often breaks down.

Q: With the rise of 24/7 AI-driven care, how do you see continuity of care evolving? Can technology really support long-term patient relationships?

As long as it’s clear that the technology is being used to support the care team, not replace it, patients are generally comfortable. When I worked at Memora (which was acquired by Commure in December 2024), that was always our message: this is a tool that helps your providers take better care of you. People were open to that and willing to engage.

As the technology improves, it becomes easier to imagine a different kind of patient experience. Instead of brief check-ins every couple of months, we could move toward continuous care, with your providers always present in the background.

In an ideal future, your doctor will be monitoring your status around the clock. Most of the time, nothing of clinical importance happens. But when something does (for example, your blood pressure spikes or your diabetes gets out of control), that’s the day your care team gets notified and steps in. That’s the kind of real-time responsiveness we’ve never had at scale, and that’s where this technology has real potential to raise the quality of care.

Q: Who’s accountable when AI gets it wrong: the doctor, health system, or developer?

That’s the big question, and it’s one I rarely see people address, probably because most people have never had to purchase malpractice insurance and think through the medicolegal questions associated with practicing. I purchased my own malpractice insurance for a number of years when running my mental health/substance use startup, and I can tell you that it really impacts your thinking and the risks you’re willing to take as a provider.

Right now, if there’s a bad clinical outcome, the physician and the provider organization are almost certainly going to get sued. But what happens when that bad outcome occurs because of a bad recommendation from an AI system?

If it’s a malfunctioning product, I know there’s a product liability framework that can be used to address any harms done to a patient, but it’s something we’re going to have to reckon with, especially as we move toward AI-only interactions.

In my opinion, we are already seeing this liability concern slowing adoption rates. Physicians don’t think in aggregate; they think in individual outcomes. One mistake can ruin a career, so providers tend to be very cautious in how they embrace new tools.

In the tech world, a 98% success rate is considered excellent. In healthcare, however, 98% isn’t good enough if the remaining 2% leads to real harm.

Q: What do you see as the most important opportunities—and risks—that AI brings to healthcare right now?

It’s a really exciting time, but big shifts like this can be unsettling. One of the many concerns we hear from customers is about job loss. That’s understandable, many people live with real financial insecurity, and the idea that new technology could make large parts of their workforce obsolete is hard to hear.

But AI also gives us a chance to finally address some of the biggest issues in healthcare. Thirty million people in the U.S. are uninsured. For many of them, even a solution that’s 90% as good as seeing a doctor, but costs $10 a month, could be life-changing. Too often, we treat “not perfect” as unacceptable when in reality, a lot of people have no access at all. We’re already seeing people use tools like ChatGPT to self-diagnose, which provides way more accurate results than when people first started using Google as an alternative to speaking with their physician. That’s not ideal (I think patients should be working with providers to access health resources), but it’s a signal that people are ready to engage if the tools are there.

Cost is the next challenge. We’ve been talking about rising healthcare costs since I was in business school over two decades ago, and they’ve only continued to rise. If we can use machines to deliver care more efficiently, we have a real shot at making the system more sustainable.

And then there’s quality. Doctors are human; we make mistakes, we fall behind on guidelines. AI can help raise the baseline by making sure we’re working with the best available information. There are still plenty of tough questions to answer, but the momentum is real. AI isn’t going away, and you can’t put the genie back in the bottle, so we have to figure out how to make it work.

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

Outside of work, you can find me attending concerts, trying new restaurants, at the gym, or rollerblading on the boardwalk in LA. I consider myself a massive foodie, and I love a great dining experience. I think it's the best way to bring people together. 

I am an avid traveler as well, and find so much joy from learning about new places and cultures. Most recently, I went to Medellín. My favorite place I have visited, and continue to visit, is London. Don’t sleep on the food scene there! It is truly incredible. 

I am a textbook extrovert and love meeting new people in any setting. My friends describe me as the most extroverted person they know. Makes sense why I ended up in a people-centric job!

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

So many things! At first, I wanted to be an ice skater. After watching Tara Lipinski compete at the 1998 Olympics, I was obsessed. I even dressed up as her for Halloween once. 

After I decided that becoming a professional ice skater wasn’t in the cards for me, I turned to another likely profession: becoming a pop star! I love music and singing, and spent many years in choir and learning guitar. Unfortunately (and unsurprisingly), that didn’t work out for me either. 

In college, I majored in finance, but always knew my strength was in People. After working at a FinTech startup and doing a stint in real estate, I made a very conscious pivot into recruiting. I had sat next to the recruiting team at my first job out of college, and always felt curious and interested by their day-to-day. I decided to make the leap and started my recruiting career at Uber. After a year, I knew it was a great fit for me. 5 years later, I've found my niche. No looking back.

Describe a day in the life of your role.

My day-to-day involves working with candidates and internal stakeholders. I conduct first-round interviews with candidates multiple times a day for various roles, and love learning about people’s backgrounds and what they specialize in. I then take candidates through the entire interview process. My favorite part of the role is extending offers to candidates and having them join the Commure team. It makes me feel like I make a difference. 

Internally, I partner with leaders within Commure to understand what they are looking for in the ideal candidate to join their teams. I love being able to understand the nuances of the various positions here and how our teams operate. 

Recruiting is a fast-paced, high-intensity environment. We move fast, and staying organized is paramount to success. I always want to ensure I am providing a white glove experience to candidates and hiring managers, which involves a high level of communication. I'm sure some hiring managers are sick of seeing my name pop up on their screen asking for feedback, but it's an important part of the job.

I have hired individuals across almost every department: Sales, Product, Marketing, Engineering, Accounting, Finance, and Operations. 

What made you decide to join Commure?

One of the main things that drew me to Commure was its mission. I love working for a company that actually makes a difference in people's lives, specifically in a space where so much improvement is needed. It makes coming to work each day a bit more meaningful. 

Additionally, I loved that Commure is such a fast-growing company. I have learned more over the past 2.5 years than I have in the previous 4. The ability to work on so many different roles with so many different stakeholders keeps me on my toes and has helped me to become an even more impactful recruiter. 

How would you describe the Commure company culture?

Commure moves faster than any company I have ever worked for. In order to be successful here, you need to be able to keep up with an ever-changing environment. What I love about this is that we have such large scopes of work, and you are able to make a tangible impact fast. 

We are a culture of thinking outside the box, and we encourage people to try new things. There is very little red tape here, which gives employees autonomy to do their work and progress fast in their careers. It's something that I have never seen anywhere else, and one of the main draws to working here.

I have seen us grow so much over the past 2.5 years, and there are no signs of slowing down. I can’t wait to see what the next 2.5 years have in store for us. 

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

You might be overwhelmed with how much there is to learn, but don’t fret. We have a team of amazing individuals who want to help you learn and grow. Things can feel fast, but after you adjust, you realize it’s one of the greatest benefits and strengths of this company. 

I always let new hires know that the people who do the best here are not afraid to ask questions and to ask for help. We have amazing people and leaders who want to see their teams succeed, you just have to be willing to raise your hand!

What has been your greatest accomplishment so far at Commure?

I think my greatest accomplishment has been hiring some amazing senior leaders here at Commure. It has been awesome to see how the investment in amazing leadership has paid off for our company’s growth. 

Additionally, I love to see how far the recruiting team has come since I joined. I started at Commure with a recruiting team of 2, with very little process or structure. Now, as a team of close to 10, we operate a well-oiled machine. I can’t take the credit for this (shoutout Jason Wong), but it’s been really rewarding to be a part of the transformation.

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

Interest in healthcare AI is growing fast. NVIDIA’s 2025 State of AI in Healthcare and Life Sciences survey found that 63% of respondents (more than 600 healthcare professionals spanning medical technology/tools, digital healthcare, pharmaceutical, payers, and providers) are actively using AI and 81% say it has helped increase revenue at their organization.

As innovative health systems and practices across the country are implementing AI solutions to streamline their workflows, some patients and care teams remain hesitant. The caution makes sense. Questions about safety, transparency, and reliability are valid in an industry where there’s little margin for error.

It’s up to healthcare leaders and technology providers to bridge that gap. Building trust in AI means understanding the concerns behind the skepticism and addressing them directly.

Common AI-Related Concerns Among Patients and Providers
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• Privacy and security: Patients and providers worry about data misuse or breaches. In one survey, 63% of patients and 87% of physicians flagged privacy as a top concern.
  
  
• Transparency: AI systems often lack clarity around how decisions are made, raising fears of hidden bias or errors.
  
  
• Accuracy: Misinterpretations can have serious consequences, especially when AI is used in diagnosis or treatment planning.
  
  
• Job security: Some clinicians see AI as a threat to their roles, which can slow adoption and fuel skepticism.
  
  
• Education gaps: Many users don’t fully understand what AI can and can’t do, making trust harder to build.

Turning AI Skepticism into Confidence

Patients and providers have valid concerns about AI in healthcare. But when implemented responsibly, AI can free up clinical time, reduce administrative burden, and improve the consistency of patient communication. For healthcare leaders, building trust starts with selecting the right solutions and creating clear strategies to earn buy-in across the organization.

‍Choose AI Tools With Safety at the Core

AI in healthcare takes many forms. Some tools generate responses from training data, while others rely on preset clinical content. Large language models are now capable of generating responses to a wide range of inputs and can even perform tasks such as data entry. However, AI models can also provide inaccurate responses. Grounding these models in clinical data, clinical guidelines, and scientific evidence helps to ensure that answers will be on-target. Furthermore, some AI systems also include safeguards that include continuous monitoring of model performance to minimize that risk. 

For health systems, trust begins with choosing technology that’s designed for safety. Leaders should evaluate how each system works, what information it relies on, and how it supports clinical oversight. Those decisions help ensure the tool strengthens care while minimizing risk.

Know the Source of Your AI’s Data

AI is only as good as the data behind it. When inputs are flawed, outputs follow suit. Inaccuracies, hallucinations, and outdated information have already cost organizations across industries. In healthcare, these risks are even more pronounced as they carry both a financial risk and are tied to patient trust. One Medscape survey found 88% of physicians worry about generative AI delivering inaccurate health guidance. Meanwhile, a Salesforce survey found 63% of patients share concerns about compromised or misleading information.

That’s why healthcare leaders must evaluate where an AI platform’s information comes from and how it’s maintained. Commure’s patient experience solution, Commure Engage is built on a clinician-curated content database developed with ongoing input from health systems. This ensures guidance reflects current practice and stays within defined clinical boundaries, giving patients reliable support and keeping care teams in control.

Equip Your Teams With Clarity and Confidence

Uncertainty about job loss are common when new technologies are introduced, with 65% of physicians reporting concerns about AI making diagnosis and treatment decisions. But in healthcare, most AI tools are designed to streamline administrative tasks, not replace clinical judgment. Charting, patient follow-up, and care coordination are just a few examples of workflows AI can help simplify, giving staff more time to focus on patients.

Leaders play a key role in shaping how these tools are received. Clear communication about what AI can and can’t do helps reduce fear and misinformation. Staff should know how AI will be monitored, how it fits into care delivery, and how to raise concerns. With the right education, teams are more likely to adopt these tools with confidence and use them effectively.

Look for a Technology Partner with a Clear Responsibility Framework

Responsible AI begins with clear values. As developers adapt to a shifting ethical landscape, they should be able to show how their platforms are built with safety and accountability in mind. When evaluating vendors, ask whether their principles are designed specifically for healthcare and whether they’re embedded in the product, not just marketing.

At Commure, our framework focuses on:

• Safety and reliability: Built to perform as intended, with safeguards in place from the start.
  
  
• Human oversight: Designed to keep clinicians in control, with transparent review and feedback loops.
  
  
• Equity and fairness: Developed to reduce bias and expand access, especially for underserved groups.
  
  
• Privacy and security: Structured to meet HIPAA standards and protect patient data at every level.

Trust Drives Impact

AI has the potential to reshape how care is delivered. But its value depends on trust. For platforms to succeed, patients and care teams need to know the technology is safe, reliable, and thoughtfully designed. That trust is built when developers listen to users, address real concerns, and ensure every solution reflects the needs of the people it serves.

Ready to see why Commure Engage is trusted by both patients and providers?

Explore the Engage Platform

AI is taking the healthcare industry by storm, with nearly two-thirds of physicians reporting utilizing AI in 2024, up from only 38% in 2023. Being able to easily integrate AI tools into existing workflows and quickly find new use cases is key to success. This is where AI healthcare assistants are becoming essential tools. Unlike past digital assistants (such as chatbots or phone-based interactive voice response (IVR) systems), today’s AI healthcare assistants can adapt, learn, and operate across clinical, operational, and financial workflows.

Innovation leaders across the country are reviewing AI healthcare assistants and agents to streamline workflows from patient access to back-office operations. But with so many options, the questions remain: Which use cases are real? How are AI healthcare assistants actually delivering value today?

AI Healthcare Assistants vs Traditional Healthcare Automation

Traditional automation tools in healthcare (like IVR systems or chatbots) follow fixed scripts and often lack the flexibility to respond to real-world complexity. AI healthcare assistants (also known as AI Agents or Agentic AI) are built differently. By utilizing generative AI/natural language processing and integrating in real-time with EHRs and hospital systems, they support a wide range of users and tasks, from guiding patients through appointment scheduling to helping staff manage intake, billing, follow-up, and more.

These assistants work across clinical, operational, and financial workflows, processing information in real time. This ability makes them far more effective than earlier systems that required manual oversight or constant updates.

Commure Agents take typically point-solution-based AI healthcare assistants a step further by delivering these capabilities through a single, modular platform. Built in close collaboration with clinical teams, the tools are designed for ease of use and rapid deployment. They integrate with existing infrastructure, allowing health systems to address targeted needs first and scale over time. The result is a smarter approach to automation that improves outcomes without adding complexity.

Clinical, Operational, and Financial Use Cases for AI Healthcare Assistants

Clinical Use Cases

Leading health systems are embedding AI healthcare assistants into clinical workflows to increase efficiency and support care quality. One of the most prominent uses is ambient documentation, where the assistant captures and structures notes during a patient encounter. This reduces the time providers spend charting and improves the completeness of clinical records. Providers using Commure Ambient AI see an average 81% reduction in overall clinical documentation time.

AI healthcare assistants can also trigger timely post-visit follow-ups, checking on symptoms, recovery progress, or medication adherence. By automating these touchpoints, health systems can stay connected with patients between visits without adding to clinician workload.

Operational Use Cases

Front office staff also benefit significantly from AI healthcare assistants by automating patient intake, verifying demographic data, and flagging missing information before the visit even starts. AI healthcare assistants can also handle appointment scheduling and rescheduling, reducing call volumes and administrative backlogs.

Pre-visit instructions, such as fasting requirements or parking details, can be sent automatically and adjusted based on appointment type. These improvements enhance operational efficiency and patient preparedness, which translates into fewer delays and a smoother front-desk experience.

Financial Use Cases

For billing teams, AI healthcare assistants ensure smoother transactions and better communication. They can verify insurance eligibility, confirm benefits coverage, and flag issues that might delay payment. By prompting patients to update insurance information or submit missing documentation, these assistants help reduce claim denials.

They also automate payment reminders and offer flexible payment plan options based on patient eligibility. This improves revenue cycle performance while making the process less confusing and more transparent for patients.

Closing the Gap Between Hype and Results

Virtual assistants used to mean clunky phone trees or websites that couldn’t answer basic questions. That’s no longer the case. The most effective tools today use advanced AI and are embedded in clinical and operational workflows, built for outcomes from the start. They integrate with existing systems, adapt to user needs, and begin delivering value without long implementation cycles.

Commure brings this into a modular, interoperable platform that is co-developed with the clinical teams using it. This foundation keeps the focus on what matters most, providing excellent care, capturing revenue, and making the most out of clinician time.

See What’s Possible With AI Healthcare Assistants

“I was getting to the point where I was considering changing my career because I just 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, FNP-C @ Pioneers Medical Center

This is just one of countless examples of clinicians across the country who are drowning in documentation, and how utilizing AI-generated doctor’s notes can help.

In fact, clinicians now spend an average of 16 minutes per encounter in the EHR, 11% of it after hours. Nurses report spending 19–35% of their entire shift documenting, a sharp increase from 9% in the paper era.

With this much time spent on administrative work, it's no surprise that 43% of clinicians report at least one symptom of burnout.

To add to that, health systems are under more pressure than ever to improve efficiency and maintain rigorous documentation standards. AI-powered doctor's notes offer a promising path forward. Here's what you need to know.

What Health Systems Should Expect From AI Doctor’s Notes

AI-enabled documentation is rapidly becoming a baseline capability. But as the market grows more crowded, the gap between commoditized features and enterprise-grade performance is widening.

For health systems, the real question is not whether to adopt AI-generated notes, it’s how to choose a solution that delivers measurable, system-wide value. That starts with identifying the operational outcomes that matter most:

• Reducing denial rates and billing friction
  
  
• Accelerating reimbursement through more streamlined claims
  
  
• Lowering clinician after-hours charting time
  
  
• Improving consistency in documentation across teams
  
  
• Scaling seamlessly across departments without heavy lift

Vendors may check the same boxes on a feature sheet, but implementation success and sustained value hinges on how well those tools work in reality.

Why Going Beyond Dictation is a Necessity

Legacy AI doctor notes tools still require clinicians to record their thoughts after the visit and often involve manual entry or editing. That workflow hasn’t kept up with modern clinical demands.

More advanced AI-powered documentation tools change the dynamic:

• Documentation starts and ends in the exam room: No need to circle back post-visit or piece together notes from memory.
  
  
• Every note reflects the full clinical picture: Tools pull in prior labs, diagnoses, and medications automatically.
  
  
• Nuance is preserved, noise is removed: Small talk is filtered out while clinically relevant cues are retained.
  
  
• Less screen time, more patient time: Providers can engage directly without toggling between note fields.
  
  
• Notes are directly integrated with EHRs and beyond: Structured output drives billing, coding, reporting, and workflow handoffs.

These advanced tools are already in use at leading health systems. At Dignity Health, providers using AI-generated documentation cut their charting time by up to 41%, freeing them to focus more on patient care.

What Health Systems Should Look For When Choosing an AI Doctor’s Note Solution

Not all AI-generated notes are created equal. Health systems evaluating tools should ask:

• Does the solution support multiple languages across diverse care settings?
  
  
• Does it support real-time documentation during multi-speaker conversations?
  
  
• Are the outputs structured enough to feed into coding, billing, and compliance systems?
  
  
• How fast can the platform be deployed and configured for different specialties?
  
  
• What clinician satisfaction or adoption metrics has the vendor demonstrated post-implementation?
  
  
• How customizable is the system for different note styles, specialties, and documentation templates?
  
  
• What level of human-in-the-loop quality control or review is included in the workflow?
  
  
• How transparent is the AI’s decision-making when it comes to clinical inferences or omissions?

Ultimately, to drive real impact, documentation tools must enhance, not complicate, how providers work day to day.

Commure Ambient AI is Built to Deliver at Scale

Commure Ambient AI moves beyond basic transcription by generating complete, structured, EHR-integrated notes without added steps.

At Commure, health systems using Ambient AI report up to 81% less time spent on charting and a 25% drop in claim denials. That impact is driven by the system’s ability to understand clinical context, reference relevant history, and produce notes that are ready for coding, compliance, and reimbursement.

For health systems looking to modernize documentation, the goal should be better outcomes through streamlined workflows. Ambient AI offers a path to scale efficiency and quality without adding complexity.

Explore Commure Ambient AI

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

I love to travel, my lifelong goal is to visit every World Wonder from the Civilization franchise. I’m about 35% of the way there so far!

Outside of that, I dabble in a bit of everything: I bike, ski, game with friends, read manga, watch movies, and avidly follow the NBA. One of the best things about living in the Bay Area is that there's always a place to do whatever you’re into, and the weather makes it easy to stay active year-round.

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

A Jedi Knight. Unfortunately, my lack of Force sensitivity meant I had to explore more practical options. Thankfully, software development turned out to be a pretty good alternative.

In all seriousness, I’ve always known I’d end up doing something computer-related. I considered careers in research, computational linguistics, robotics, and even aerospace. But when I got to college, I realized that software development was what I genuinely enjoyed most. There’s something deeply satisfying about watching your code run. The moment you realize your logic rendered a reflective object, created an unbeatable Connect 4 player, or simulated particle movement in an accelerator, it’s impossible to beat that feeling.

Describe a day in the life of your role.

As the tech lead, my role revolves around two core responsibilities. First, I lead development for major features on our product roadmap, whether that’s building infrastructure to integrate with EHRs or developing an AI clinical copilot that helps physicians edit their notes. Second, I focus on team enablement, making sure engineers are aligned, growing, and enjoying their work.

Day to day, it varies. Some days I’m in the trenches with the team, pair programming, reviewing code, or validating designs. Other days, I block off time to focus and tackle complex technical problems on my own. The common thread is that every day brings something new, and that keeps things fresh and exciting.

What made you decide to join Commure?

What drew me to Commure was the speed. Things move fast here. You're only limited by your own initiative, and that’s something I really value as a developer.

The second big draw was the mission. If you talk to any clinician, their biggest complaint is always documentation, the typing, the clicking, the endless paperwork that pulls them away from patient care. A few years ago, the idea of a “touchless” clinical workflow felt like fantasy. But now, with transformer-based LLMs and generative AI, it's a reality. These models can ingest huge volumes of natural language and produce fluent, human-like summaries. It’s a complete paradigm shift, and I knew I didn’t want to sit on the sidelines. Commure gave me the opportunity to be on the front lines of that transformation.

How would you describe the Commure company culture?

Fast-paced and results-oriented. At Commure, you can stand up the infrastructure for an entire product line in two days, no questions asked. 

It’s also highly impact-driven. You’re not working on abstract projects that disappear into the void. Everything you build has clear, visible value, and you can observe the difference you're making.

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

Don’t be afraid to ask questions. The worst thing you can do is pretend to know something and end up going down the wrong path. People are always happy to help, and it’s much faster to learn the right way than to spend time undoing mistakes.

A piece of wisdom from my Youth Symphony conductor that has stuck with me: “If you’re going to make a mistake in rehearsal, make it loud.” In other words, communicate openly; it’s always better than struggling in silence.

What has been your greatest accomplishment so far at Commure?

The growth of Commure Ambient AI has been nothing short of incredible. We’ve launched seamless EHR integrations, built an AI copilot, and even created tools that can learn a provider’s documentation style from just a few examples. The progress has been astonishing, and it’s just the beginning.
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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

You likely had several options — why did you choose Commure?
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Nikki Solanki, Chief of Staff to CEO (Biology and Economics ‘24): I chose Commure because I was drawn to the fast-paced, high-impact environment and the opportunity to work directly alongside the CEO on a mission that matters. Healthcare is often seen as slow-moving, but Commure proves you don’t have to follow industry norms to make real change happen. In my role as Chief of Staff, no two days look the same. I get visibility into every part of the business, from sales and product to engineering and operations. That breadth not only keeps the work exciting but also pushes me to grow quickly as a strategic operator. I was excited to join a team of people who genuinely care about the impact of their work. What stood out was how deeply committed everyone was to solving real-world problems that matter, and doing it with urgency. Our core principle of “speed above all else” isn’t just a tagline; it creates a culture where smart, driven people rally together to move fast and make a difference.

Hugh Sagawa, Software Engineer (Computer Science ‘23): I originally heard of Commure, when my friend referred me and told me the work here is very intellectually stimulating. Personally, I have had family members struggle to get vital appointments that they need in the healthcare space. If I can help save time for providers so that they can see more patients, that is a win.

Athan Liu, Software Engineer (Statistics and Economics ‘21): I always wanted to be a software engineer, and after COVID I knew I wanted to work in the healthcare space, which is why I joined Epic out of college. After a few years, I wanted to work in a faster-paced environment, like Commure, where you’re going full throttle all the time. I’ve done a lot of immersion trips to healthcare systems, and what really stood out to me was how much time providers spend doing documentation. The moment all the new LLMs and transcription models came out, it was pretty obvious that this would be a game changer to a future “hands-free” documentation process in health care. So when I saw what Scribe Growth was doing, and how much impact I could have as an engineer in shaping and pushing that product forward, it was a no-brainer to join.

Milton Lee, Operations Manager (Economics ‘22): I was previously working at an older, more established EHR company, and while I loved the mission of helping providers help patients, I was looking for a company that offered a higher degree of agency and ownership while maintaining a product suite with a similar mission. I really liked the opportunity to work directly with providers to use cutting-edge technology to decrease the documentation burden in a significant way. I was drawn to the idea that working hard here would not only benefit me, but would also help patients get better care from doctors who can afford to give them more time and attention.

How have you grown?

Nikki: In a fast-paced startup environment, there’s rarely a perfect roadmap. Over time, I’ve learned to trust my judgment, get comfortable making decisions with imperfect information, and rally the right people to execute quickly.

Hugh: I’ve definitely become a stronger programmer at Commure and have also become better at working collaboratively. 

Athan: At Commure, I’ve learned how to actually manage a team while still getting to do engineering tasks. At my previous company, becoming a team lead meant hanging up your IC hat, so I never really wanted to become one, but here it’s different. I learned a lot more about training new engineers, setting team culture, and having fun while doing so.

Milton: As part of a quickly growing and changing team, I’ve had the opportunity to personally design and implement a far wider range of approaches to software implementation than I could have otherwise.

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

Nikki: We work hard, but we genuinely enjoy spending time together outside of work - whether it’s Tuesday-night dinners, weekend trips to Tahoe or Yosemite, or spontaneous flights to Europe. When your coworkers are also your friends, it makes the day-to-day more fun and the tough moments easier. It’s what makes the team at Commure really special.

Hugh: Sometimes we have board game nights where we play Dominion. I already enjoyed this game and owned it before I even started working at Commure. It was awesome to learn that many members of my team also played it.

Athan: The Warriors have never lost when we have been in attendance. Therefore, in order to secure another championship before Steph retires, I think the team should get courtside season tickets for free. Call me Joe Lacob.

Milton: I find it inspiring that my team takes pride in their work and constantly pushes toward our shared goals.

What would you tell another University of Chicago student considering Commure today?

Nikki: I’d say: if you’re looking for a place where you’ll be challenged, learn fast, and actually see the impact of your work, Commure is it. It’s not the kind of place where you wait your turn or follow a set playbook. You’ll be thrown into real problems from day one, surrounded by smart, driven people who care deeply about what they’re building. If you like the intellectual intensity of UChicago and want to apply that to something fast-paced and meaningful, you’ll feel right at home here.

Hugh: Coming out of UChicago, you’ll definitely have to learn a lot on the job, as the computer science major at UChicago definitely is more focused on the academic side rather than engineering. However, you’ll definitely be able to learn quickly and become more than proficient applying what you learned at UChicago.

Athan: Coming straight out of school into the workforce, there’s going to be a bit of a learning curve. You might not even be on the radar for a lot of positions because UChicago isn’t renowned for being an ‘engineering’ school. But that doesn’t mean you shouldn’t apply. If you have the passion and the drive, you will excel!

Milton: I’d tell them that it’s a good place to find opportunities for creative problem solving and meeting interesting, driven colleagues.

Tens of thousands of patients undergo surgical procedures every day in the United States. Successful outcomes depend on both a well-executed surgery as well as the ability of the patient to follow a post-operative care plan at home. Even with thorough discharge instructions and after-visit summaries, key details often get lost in the transition from hospital to home. One survey found 66% of patients leave their appointments without asking important questions, leading to confusion, complications, or missed steps in recovery.

The reality of healing at home often brings unexpected challenges including new medications and unexpected symptoms that can overwhelm even those familiar with the process.

But that’s starting to change. AI is helping patients navigate recovery more confidently while giving care teams new ways to extend support beyond the hospital stay.

‍The Challenges of Post-Surgery Care Management

Surgery may be the turning point in a patient’s treatment, but what happens afterward often presents its own set of complications. Without steady support, the following challenges can slow progress and increase the risk of complications.

Managing Medications

Medication management after surgery is rarely straightforward. While prescriptions are a standard part of most recovery plans, following them precisely requires more effort than many realize. Instructions can be complex, especially when they involve multiple drugs with different timing, dosages, and side effect profiles.

Roughly half of patients are prescribed medications after surgery, but adherence isn't just a matter of remembering. Some struggle to get to the pharmacy. Others second-guess whether a symptom is normal or cause for concern. And when confusion sets in, it’s not always clear where to turn for answers.

Missed or mismanaged medications can delay healing, trigger avoidable complications, and undermine the hard work of the surgical team. For something as routine as a prescription, the margin for error is surprisingly thin.

Communication Gaps

Clear, timely communication is one of the most important factors in post-surgical recovery. Patients often leave the hospital with lingering questions, unsure of what symptoms to expect or when to ask for help.

The consequences of this disconnect are well-documented. A multi-study analysis found that patients who received thorough education before abdominal surgery had fewer complications, shorter hospital stays, and better psychological outcomes. When patients understand what’s ahead, they’re more prepared to manage it.

Transportation and Accessibility

Mobility challenges are common after surgery, which makes access to transportation a critical part of recovery. Follow-up visits, physical therapy, and prescription pickups all require patients to leave home, often before they feel ready.

Yet for many, getting there isn’t simple. An estimated 3.6 million Americans miss medical care each year because they don’t have reliable transportation. That barrier is even more pronounced for patients recovering from surgery, especially those living in rural areas or managing care on their own.

Unexpected Symptoms or Side Effects

No matter how well providers prepare patients for recovery, surprises are almost inevitable. New symptoms can appear without warning, and even common side effects can feel alarming when they happen at home.

Take nausea for example. One study found that 20 to 40 percent of patients experience nausea or vomiting after surgery. For someone recovering alone, that can feel like a serious setback, and without clear guidance, it may prompt a return to the hospital that could have been avoided.

How Conversational AI Can Support Postsurgical Patients

Conversational AI is emerging as a practical way to reduce friction in the recovery process. By helping care teams deliver timely, personalized support, these tools can improve how patients recover after surgery. From reinforcing medication plans to spotting potential risks, here are a few ways AI-driven platforms are making recovery more manageable for everyone involved.

Supports Medication Adherence

Patients who don’t clearly understand their instructions are less likely to follow them. Phone check-ins aren’t scalable, and many patients fall through the cracks.

Conversational AI helps close that gap. These tools remind patients when to take medications, explain how each one fits into their recovery, and respond to common questions about treatment. They also check whether doses were taken and ask patients to share reasons if they weren’t. That information is recorded in a clinician-facing dashboard, giving care teams a clearer picture of who may need follow-up and why.

‍Answers Common Recovery Questions

After surgery, it’s normal for patients to have questions about symptoms, side effects, and when something might signal a more serious issue. But with limited access to providers, many end up calling or showing up in person for reassurance.

Messaging tools have tried to help, but often just shift the burden. Inboxes fill up, response times slow down, and clinicians lose time they don’t have.

Conversational AI offers a more scalable option. By using natural language processing to understand patient concerns, these tools can deliver accurate answers based on clinical guidance.

Surfaces Barriers to Recovery

Recovery plans often assume patients can access what they need; a ride to the pharmacy, a stable place to rest, or the means to follow up. But that’s not always the case. Challenges tied to social determinants of health, like housing, food security, or transportation, can easily disrupt care.

The American College of Surgeons emphasizes the importance of identifying these risks early. Conversational AI makes that possible by prompting patients to share obstacles they’re facing. That information is logged for care teams and can trigger tailored support, like transportation help or financial resources, to keep recovery on track.

Routes Urgent Issues to the Right Provider

Most patient questions after surgery are routine, but some signal something more serious. In a hospital, a nurse or doctor is just steps away. At home, patients often don’t know who to contact, or whether they need to.

Conversational AI helps make sure nothing serious gets overlooked. When a patient flags a concern, the system can detect urgency and alert the right provider to step in. It also makes it easier to coordinate across specialties, so the patient gets the right support without unnecessary delays or missed signals.

Bringing Recovery Into Reach

The days and weeks after surgery are just as critical as the procedure itself. With the right digital tools, health systems can give patients the support they need to recover safely, ask better questions, and avoid preventable setbacks.

Commure Engage makes this kind of support possible. Built with clinical input and proven in the field, it helps care teams extend their reach without adding more to their workload.
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See AI Patient Engagement In Action