AI agents, like those made by Commure, are software helpers that use machine learning and natural language processing. Unlike regular AI tools that need people to guide them all the time, Commure’s AI agents work on their own. They finish hard and lengthy tasks that normally need doctors or office staff to do manually.
These AI agents connect fully with Electronic Health Record (EHR) systems, such as Epic and MEDITECH. This means they can access patient data in real time. In U.S. medical practices, this lets AI agents read and update patient charts, handle billing, manage schedules, and talk to patients without interrupting the usual routines.
Many health systems in the U.S. have seen improvements after using AI agents. For instance, doctors at Val Verde Regional Medical Center (VVRMC) saved between 30 and 90 minutes each day on documentation in areas like cardiology and family medicine. At Ob Hospitalist Group (OBHG), AI cut the time spent on charge entry by 83%, and more than 85% of charges are now coded automatically, making billing more accurate and following rules better.
It is important to adjust AI agents to fit the specific workflows in healthcare because tasks vary by specialty, patient group, and organization. Companies like Commure work together with healthcare providers and IT teams to create AI workflows that suit each medical practice.
This teamwork makes sure AI fits the needs of a health system instead of using the same plan everywhere. For example, referral methods, billing, or note-taking styles can be different in cardiology clinics than in orthopedic offices, so workflows are made to match those differences.
Some health systems, like Hughston Clinic, have used Commure’s AI platform with different EHRs to improve documentation and billing across their orthopedic care locations. Because the AI agents can be changed on site with help from engineers, health systems avoid problems that come with generic AI tools that don’t meet their needs.
By involving doctors and office workers early on, these efforts make sure the AI is easy to use and adopted well. This helps reduce the administrative tasks for staff instead of making their work harder.
One of the tasks that take the most time in healthcare is writing clinical notes. Doctors often spend many hours each day finishing notes, coding illnesses, and checking patient charts. AI agents with ambient intelligence can listen to doctor-patient talks and turn them into organized clinical notes. They also suggest proper diagnosis codes and medicine orders.
At DRH Health, using Commure’s AI technology cut documentation time by up to 90 minutes per provider every day. This made it faster to complete charts, often in less than 24 hours, meeting quality rules. Moving charting work from doctors to AI also helps reduce burnout and lets doctors spend more time with patients.
AI agents also help with care coordination by handling follow-up visits, referrals, and surgery planning automatically. After a patient visit, AI can call the patient, set up procedures like colonoscopies, and remind patients how to prepare. This keeps patients involved and helps them follow care plans, which improves outcomes and lowers readmission rates.
These agents also watch for gaps in care or missed follow-ups by checking EHR data and schedules. They step in when needed to keep care continuous among different care teams.
The money side of healthcare depends a lot on managing the revenue cycle well. This includes patient intake, verifying insurance, getting prior authorizations, processing claims, billing, and collecting payment. These tasks are often split up and prone to mistakes. That can cause claims to be denied, slow down payments, and waste time.
AI agents help by automating many parts of the revenue cycle through deep links with EHR and billing systems. For example, AI can automatically add the right medical codes to visits, lowering errors and cutting down time spent on coding. OB Hospitalist Group saw an 83% drop in charge entry time in just three months after starting to use autonomous coding, showing that AI reduces workload a lot.
The AI agents also manage prior authorizations based on clinical notes, cutting delays in patient care and speeding up revenue collection. They can catch billing mistakes before claims are sent, which lowers denial rates.
By automating explanations of benefits (EOB) and billing questions, AI agents also help patients by giving them timely and clear info about their bills.
AI and automation have opened more ways to improve healthcare beyond just notes and billing. New advances in AI and language processing let these agents support scheduling, patient communication, care management, and follow-ups using voice and text.
Moving from AI helping little pieces to fully running workflows has big effects. Instead of doctors or staff guiding AI for every step, agents work quietly behind the scenes with routine but key tasks. This cuts clicks, data entry, and stops interrupts during doctor work. According to Tanay Tandon, CEO of Commure, these autopilot AI agents free clinicians to focus on patients and reduce burnout from admin work.
For U.S. medical offices, AI can handle scheduling appointments, reaching out to patients, and sending reminders by phone or text. AI also streamlines planning before surgery and discharge by updating care teams and patients automatically and preparing needed paperwork.
This all leads to better efficiency that helps not just clinicians but also patients with shorter waits, better contact, and smoother care.
Successful use of AI agents depends on how well they fit in with current EHR systems and hospital IT. Commure’s technology works with over 60 different EHRs, including big ones like Epic and MEDITECH. This wide compatibility allows AI to be part of core clinical and administrative work, not just extra add-ons.
Many health systems use Commure AI as part of a combined platform that handles both clinical and billing tasks. For example, the mix of ambient AI with coding help and agent workflows creates tools that make patient visits smooth from start to finish, including billing and follow-up.
Running these AI tools on safe cloud platforms like AWS lets practices grow their use of AI while following healthcare rules like HIPAA. Cloud AI also lowers IT work, so hospital IT teams can focus more on protecting data and managing tech better.
Hospitals and clinics often have special challenges that make off-the-shelf technology not work well. Customizing AI agents with teamwork helps create solutions that fit real needs.
These examples show how working together on AI helps U.S. medical practices improve clinical work, financial results, and staff satisfaction.
The future of AI agents in healthcare aims at adding more abilities for administrative tasks and tools that help doctors work better. Right now, fewer than 20% of U.S. clinical settings use AI, so there is room to grow.
Companies like Commure are focusing on improving AI for intake, referrals, prior authorizations, managing denials, and using ambient AI. New development will likely make agents that can run more complex workflows by themselves.
For healthcare leaders and IT managers, this means staying involved with AI makers to keep adding new tech smoothly. It also means choosing AI that can change easily to meet new rules and changing daily tasks.
AI agents that connect to EHRs and automate workflows are becoming important for healthcare providers in the United States. Customizing these AI workflows with help from both healthcare teams and tech developers makes sure they meet each organization’s unique needs. This approach helps improve clinical notes, care coordination, and revenue management.
For medical practice leaders and IT managers, using AI agents like Commure’s is a way to reduce how much time clinicians spend on admin tasks, boost efficiency, and give better patient care. As AI technology grows and more places use it, careful customization and fitting these tools into systems will be important to get the most out of them in U.S. healthcare.
Commure’s AI agents automate complex healthcare tasks such as front-office functions, patient navigation, care management, revenue cycle management, appointment scheduling, patient outreach, billing, prior authorizations, and referral management, fully integrated within the electronic health record (EHR) and clinical workflows.
Commure Agents are embedded into the entire clinical workflow and interact directly with the EHR, enabling automation of tasks after patient visits, such as documentation, scheduling, follow-ups, and care coordination, facilitating seamless information extraction and action based on clinical context.
AI agents improve efficiency by automating appointment scheduling, patient outreach, and follow-ups, reducing administrative burden and human error. They enhance patient engagement through interactive communication, optimize preoperative and discharge planning, and allow clinicians to focus more on patient care.
The agents streamline claims processing, reduce denial rates by correcting errors proactively, handle prior authorizations triggered from clinical notes, and manage billing communication such as explaining EOBs, all leading to faster revenue cycles and reduced administrative overhead.
For instance, after a physician’s consultation using ambient AI scribe, the agent can schedule necessary patient procedures like colonoscopy, manage the associated preparation regimen, interact with the EMR, and communicate directly with the patient to ensure compliance and follow-up care.
Unlike AI copilots requiring constant human prompting, Commure Agents function as autopilots running healthcare workflows independently in the background, reducing clicks and human intervention, thus delivering true automation that improves clinician satisfaction and operational efficiency.
Besides offering pre-built modules, Commure provides on-site engineering collaboration to tailor or create new AI workflows specific to individual health systems’ needs, supporting co-development and rapid deployment within existing infrastructure.
Commure views the EMR and the CFO’s office (revenue cycle) as central hubs; embedding AI agents into these platforms accelerates deployment, embeds features seamlessly within core systems, and maximizes adoption and impact across clinical and administrative domains.
Health systems using Commure Agents have reported improvements in clinician satisfaction, faster clinical documentation, enhanced operational efficiency, reduced billing errors, and streamlined patient scheduling and follow-up management.
Commure aims to expand its AI agent stack to cover more modules such as physician productivity, intake, referrals, prior authorizations, and denials, focusing on easy and fast deployment, enhanced ambient AI adoption, and continuously innovating with infinite applications in healthcare workflows.
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