Artificial Intelligence (AI) is becoming more common in healthcare in the United States. One important use of AI is helping doctors with their notes through AI scribes. AI scribes are software tools that listen to doctor-patient talks and write clinical notes automatically. This helps doctors spend less time typing and more time with patients. This article looks at how AI scribes are used in different medical fields, how well they work in improving care, and how AI helps with medical workflows in the U.S.
Writing notes is one of the hardest and most time-consuming jobs for doctors. Since the 2009 HITECH Act encouraged the use of electronic health records (EHRs), doctors have had more paperwork to do. Sometimes, doctors work late nights or outside office hours to finish notes. This extra work can cause stress, lower job satisfaction, and affect patient care quality.
AI scribes try to reduce this burden by making clinical notes automatically. Using advances in natural language processing (NLP) and machine learning, these tools listen to patient visits through devices like smartphones and create summaries that fit medical standards. Some big healthcare groups like The Permanente Medical Group (TPMG) and NYU Langone Health have studied how AI scribes work and how doctors use them.
Different medical areas use AI scribes at different rates. Primary care, mental health (including psychiatry), and emergency medicine use them the most. These areas have heavy note-taking demands and many patient visits, making AI scribes useful.
At TPMG, with over 7,000 doctors in Northern California, more than 3,400 doctors tried AI scribes in a 10-week test. Later, over 7,200 doctors used them in more than 2.5 million patient visits over 63 weeks. This was the fastest tech rollout in TPMG’s history.
Doctors said AI scribes helped save about one hour each day that they would have spent writing notes. Doctors who used AI scribes most, which was nearly 90% of use cases, saved even more time—more than twice as much per note as less frequent users. Age or years of practice did not affect who used AI scribes, showing that many doctors accepted the tool.
The time saved by AI scribes is large. TPMG researchers said AI scribes saved doctors nearly 1,800 full workdays of note-taking in one year. This freed doctors to spend more time on patients or reduce their work hours.
Surveys at TPMG showed that 82% of doctors felt more satisfied with work after using AI scribes. They worked fewer hours after clinic time, which helps lower stress. Dr. Kristine Lee from TPMG said this helps doctors focus on care, not paperwork.
Also, 84% of doctors said AI scribes improved how they communicated with patients. They didn’t have to look at screens as much during visits, so they paid more attention to patients. Patients noticed this too: 47% said their doctors spent less time looking at computers, and 39% said doctors talked more with them.
AI scribes do more than save time. They also improve the quality of medical notes. For example, NYU Langone Health used AI not only to write notes but also to check note quality by five main rules called the “5 Cs”: completeness, conciseness, contingency planning, correctness, and clinical assessment.
From 2021 to 2024, NYU Langone saw up to a 45% improvement in clinical assessments and diagnostic reasoning in fields like internal medicine, pediatrics, surgery, and intensive care. Planning ahead for patients’ future needs improved by up to 34%. These changes help doctors diagnose better, work better with their teams, and improve patient results.
AI also helps doctors follow standard workflows better. Before AI, less than 5% of inpatient notes met quality standards. After AI-assisted note writing became normal, over 75% met these standards. This leads to safer, higher quality care.
Not all doctors use AI scribes without concerns. Some worry about mistakes, called “hallucinations,” when AI writes wrong or unclear details. These mistakes are rare but need doctors to check and fix, which can take more time.
Another problem is that AI notes may not fit well with existing EHR templates or doctors’ usual styles. When notes don’t match what doctors expect, they must spend more time editing, which lowers the tools’ usefulness.
Training and support are also needed. TPMG provided a one-hour webinar and trainers in many places to help doctors learn. Also, patients must give consent and be told when AI is used to keep trust.
AI does more than write notes. It also helps with other work tasks like scheduling appointments, answering phones, and following up with patients. These tasks support AI scribes by reducing clerical work.
For example, companies like Simbo AI use AI to answer front-office phone calls and help medical offices run smoothly. This lets staff and doctors spend more time on patient care. Automating things like appointment reminders, prescription requests, and basic questions helps avoid delays and confusion at the front desk.
Using AI scribes along with workflow tools like Simbo AI creates a system that supports doctors and staff. This makes it easier for patients to get care and makes clinics run better.
Healthcare leaders in the U.S., such as practice administrators and IT managers, have both chances and tasks when bringing in AI scribes. These tools can reduce doctor stress, improve patient experiences, and make clinics work better. But success needs careful choice and setup of AI tools that fit the clinic’s needs.
Important points to consider include:
Administrators should think of AI scribes as part of a larger shift toward digital systems in healthcare. Using automation can help keep doctor workloads manageable, improve patient communication, and make clinics strong.
Today, balancing good patient care with paperwork is hard. AI scribes can help by cutting down on note-taking and improving note quality. This lets doctors spend more quiet time with patients.
For healthcare leaders, using AI scribes should be part of a full plan for digital tools. Combining AI note help with AI workflow tools can improve how clinics run and how patients are cared for in the U.S.
By choosing, fitting in, and supporting these tools carefully, health systems and clinics can work more efficiently, make doctors happier, and create a better healthcare experience for patients.
The ambient AI scribe transcribes patient encounters using a smartphone microphone, employing machine learning and natural-language processing to summarize clinical content and produce documentation for visits.
Physicians benefit from reduced documentation time, averaging one hour saved daily, allowing more direct interaction with patients, which enhances the physician-patient relationship.
The scribe was rapidly adopted by 3,442 physicians across 21 locations, recording 303,266 patient encounters within a 10-week period.
Key criteria included note accuracy, ease of use and training, and privacy and security to ensure patient data was not used for AI training.
Training involved a one-hour webinar and the availability of trainers at locations, complemented by informational materials for patients about the technology.
Goals included reducing documentation burdens, enhancing patient engagement, and allowing physicians to spend more time with patients rather than on computers.
Primary care physicians, psychiatrists, and emergency doctors were the most enthusiastic adopters, reporting significant time savings.
Although most notes were accurate, there were instances of ‘hallucinations’, where AI might misrepresent information during the summarization process.
The AI tool aimed to reduce burnout, enhance the patient-care experience, and serve as a recruitment tool to attract talented physicians.
The AMA has established principles addressing the development, deployment, and use of healthcare AI, indicating a proactive approach to its integration.