Clinical documentation has been a big part of the work for healthcare providers. Doctors, nurses, and other clinicians spend many hours writing down details of patient visits in Electronic Health Record (EHR) systems. This often takes longer than the actual appointment time. This extra work makes clinicians tired and can make patient visits less engaging.
Ambient AI helps by listening to clinical talks and making notes automatically. This happens in the background without doctors having to speak or start recording. Platforms like Commure Ambient AI work inside major EHR systems such as Epic and MEDITECH Expanse. Commure’s system listens to patient and clinician talks in more than 60 languages and makes clinical notes that fit different medical specialties accurately.
A 2025 study at North East Medical Services (NEMS) showed that Commure Ambient AI was better than other AI scribing tools. It had editing accuracy of 95% for Spanish-speaking visits and 93% for Chinese-speaking ones. This language accuracy matters in the US because many patients speak different languages. It helps provide fair documentation for all.
Clinicians saw a 30% boost in documentation speed, saving about 5.2 minutes per visit—1.6 minutes more than other AI tools. Doctors said they finished their notes 1 to 2 hours earlier each day. This helped cut down work done after hours and gave them more time with patients. Doctors also rated the note quality 4.5 out of 5, showing they liked how well the system captured details.
These tools help clinicians work better and feel less tired. One NEMS doctor said, “I feel like I can listen more during patient visits. It helps a lot.” Many clinicians agree that not having to write notes by hand helps them focus and be kinder to patients.
Healthcare workers also face many admin problems like scheduling patients, getting approvals, billing, and handling claims. These tasks take a lot of time and often need teams to work together. Shortages of staff make these tasks harder.
AI-powered agents can help by doing many steps automatically with little human help. Commure created Commure Agents, AI helpers that work on their own managing many tasks. They act as “autopilots” for healthcare jobs.
These agents reach out to patients, arrange care, get approvals, check insurance, and speed up billing and claims. Automating routine work cuts delays, lowers staff stress, and saves money.
Research from Onpoint Healthcare Partners shows that AI agents in revenue management can cut admin work by up to 70%. Prior authorizations, which often delay care, can be made faster with AI. This helps patients get treatment more quickly and lowers the chance that patients stop care. The American Medical Association found that 94% of doctors said prior authorizations delay care. Nearly 25% said these delays caused serious problems.
By automating approvals and referrals, AI agents not only make workflows faster but also improve patient safety and ongoing care. Health centers that use these tools can keep more referrals and get approvals faster, which helps keep income steady.
One big challenge in healthcare is managing revenue cycles. This means handling everything from patient registration and clinical notes to billing, sending claims, managing denials, and getting paid. The process is complex, and mistakes or delays can cost money.
In 2023, the Centers for Medicare & Medicaid Services (CMS) reported that wrong payments in Medicare fee-for-service added up to $31.2 billion, about 7.38% of payments. Denial rates in healthcare revenue have also risen to 10–15%, threatening the survival of many healthcare providers.
AI-driven revenue cycle platforms like those from Commure use both ambient AI for better notes and AI for coding and claims to fix these problems. When clinical notes are very accurate and meet billing rules before coding, fewer claims get denied. Some health systems using Commure’s tools saw denial rates below 2% and claims accepted on the first try 97% of the time. This speeds up payments and improves cash flow.
A health system in New York using Commure’s platform increased collections by 21%. A specialty clinic in Utah grew revenue per visit by 12% thanks to better documentation and coding. These kinds of improvements bring big financial help to practices and health systems.
Commure explains a “flywheel” effect: good data leads to better notes, which allow correct coding, faster payments, fewer denials, and better patient communication. This cycle builds on itself improving performance and stability over time.
Administrative tasks go beyond notes and billing. Front office jobs like scheduling, patient intake, insurance checks, and payment collections also need much time and staff.
AI can improve these tasks greatly. For example, smart patient intake systems check insurance, collect and verify patient details, and get patients ready for visits digitally. These tools help reduce hold-ups at registration and cut down on data entry mistakes. This leads to smoother patient flow and fewer missed appointments.
Intermountain Healthcare cut patient check-in times by 25% and increased co-payment collections by 300% after using AI intake automation. AI scheduling tools have lowered staff time spent scheduling by 60% and reduced no-shows by 30%, making clinics work better.
AI also tracks key performance indicators (KPIs) like:
Having these KPIs in real time helps managers find problems early and fix them fast.
These automation tools also help manage rules and compliance by tracking licensing, credential renewals, and audits. This prevents denials caused by missing paperwork. Combining these tasks in one AI system reduces problems caused by using many separate vendors and makes financial results more predictable.
Using AI is growing fast in US healthcare. Surveys show about two-thirds of healthcare groups plan to spend more on AI in the next three years. Also, 42% say AI for revenue management is a top priority.
Commure is an example of this growth. They serve more than 130 health systems and handle billions in yearly revenue cycle automation. Their AI tool supports over 20 million clinician appointments a year, cutting documentation time by about 90 minutes per provider each day.
Commure raised $200 million recently from General Catalyst’s Customer Value Fund. This shows investors believe in the growth and effect of AI in healthcare. The money helps Commure expand faster, build more AI agents, and connect better with different EHR systems.
Health providers using Commure report happier clinicians. Many say cutting down admin work improves job quality and patient contact. Hospital managers also notice better financial results from using AI systems that connect clinical and financial work.
For healthcare practice leaders, owners, and IT managers in the US, using AI for ambient documentation, autonomous agents, and revenue cycle automation offers clear answers to many work challenges. These benefits include:
Using AI in these key parts helps practices stay competitive, reduces pressure on staff, and keeps finances healthy amid rising costs, changing rules, and worker shortages.
Top healthcare groups show that all-in-one AI platforms work better than many separate tools. These platforms link clinical, admin, and financial tasks under one system for lasting improvements.
In short, healthcare leaders who want to fix work problems and financial issues should look closely at AI tools that combine ambient documentation, operational agents, and revenue automation. Evidence from companies like Commure and the wider AI market shows these systems improve workflows and financial health for US healthcare groups.
Commure Ambient AI is an AI-powered clinical documentation solution fully integrated with EHR systems like Epic and MEDITECH Expanse. It captures real-time patient-clinician conversations, generating accurate clinical notes to reduce documentation time, burnout, and improve workflow efficiency across various clinical settings.
In a pilot at NEMS, Commure Ambient AI outperformed another large Epic-integrated AI scribe solution by delivering higher multilingual accuracy (95% Spanish and 93% Chinese vs. 82% and 78%), faster documentation (5.2 vs 3.6 minutes saved per encounter), and higher provider satisfaction (4.5 vs 3.8 out of 5).
Ambient AI captures clinical encounters passively in the background without manual initiation, allowing clinicians to focus on patient interaction. It supports multilingual recognition, specialty templates, seamless EHR integration, and continuous workflow improvements, thereby reducing cognitive burden and administrative overhead more effectively than point-based dictation tools.
Commure Ambient AI significantly reduces documentation time—saving up to 90 minutes per day—and allows earlier completion of notes. This enables clinicians to be more present during patient visits, reduces after-hours charting, lowers cognitive overload, and enhances overall job satisfaction, thereby alleviating provider burnout.
Commure’s roadmap includes AI-powered provider copilots and computer vision modules that extend beyond documentation to more autonomous task automation. These developments aim to enhance clinical decision support, care coordination, and operational efficiency across entire workflows.
Commure Agents are AI-powered assistants that fully automate complex physician workflows beyond documentation, such as patient scheduling, care coordination, billing, prior authorizations, and claims processing. Unlike ambient AI scribes relying on real-time conversation capture, Agents act as autonomous autopilots that require minimal human input and reduce staffing burdens effectively.
By integrating ambient AI, autonomous agents, and revenue cycle automation within a single platform, Commure streamlines clinical documentation, automates administrative tasks, reduces denials, and improves financial outcomes. This unified approach eliminates fragmented point solutions and enhances both care quality and financial performance.
KLAS First Look Report rated Commure Ambient AI at 93.3, with 100% of surveyed users willing to repurchase. The platform demonstrated improved note quality, reduced documentation time, increased collection rates, decreased claim denials, and positive impacts on clinician burnout, suggesting substantial organizational benefits.
Commure Ambient AI offers advanced multilingual conversational support in over 60 languages with high accuracy for foreign language integration (e.g., Spanish, Mandarin). It also provides specialty-specific templates customizable to diverse clinical workflows, ensuring precise and contextually relevant documentation.
Commure collaborates directly with healthcare providers and administrators to co-develop customizable AI solutions that unify EHR platforms, improve clinician workflows, reduce burnout, and drive healthcare transformation. Its scalable, deeply integrated platform is designed to support modern, AI-infused care delivery and operational models nationwide.
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