Clinical documentation is an important job for doctors, but it takes a lot of their time. On average, American doctors spend almost half of their workday typing notes into Electronic Health Records (EHRs). This leaves less time for caring for patients and can cause stress for doctors. Notes need to be complete and accurate because they affect billing, quality of care, and patient safety.
Studies from groups like The Permanente Medical Group (TPMG) show that AI scribes that listen and write notes can save thousands of hours of doctor time without losing quality. Between late 2023 and 2024, TPMG used these AI scribes in more than 2.5 million patient visits. This saved about 15,791 hours of note-taking, which is like saving 1,800 full eight-hour workdays. Because doctors spent less time on paperwork, they had more time to talk with patients. They also worked less after hours, and job satisfaction went up.
Even with these time savings, one big challenge is that AI notes must match each doctor’s style and way of working. Doctors are more likely to use and trust notes when the language and format are similar to what they usually write. This shows how important it is to customize AI notes to fit doctors’ preferences to increase AI use in clinics.
Not all AI note systems are the same. Advanced AI tools make notes that match each doctor’s style. Regard’s AI platform is one example. It creates almost full draft notes by using data from EHRs and live doctor-patient talks. These notes change to fit the doctor’s way of speaking and organizing information, making it easier for doctors to review and fix them.
The benefits of customizing AI notes include:
David Kirk, M.D., Chief Clinical Integration Officer at WakeMed Health and Hospitals, said, “Accurate documentation helped by AI shows patient details well and leads to better clinical scores and payment.” His experience with Regard’s AI, which changes notes based on doctor style, shows that customization is key for doctors to accept and use the system well.
AI in healthcare does more than make notes. It can also automate tasks around documentation to reduce work for doctors and staff.
For healthcare managers and IT teams, it is important to choose AI that fits well with current EHR systems and respects doctors’ note preferences. Simbo AI also automates front-office phone tasks, which helps staff focus on more important clinical or admin work.
Custom AI notes affect more than just how fast notes get done. They also help hospitals do better financially and meet quality goals:
These improvements matter a lot as U.S. hospitals face tighter budgets and more rules.
Besides helping money and paperwork, custom AI notes also improve doctor happiness and patient care:
For hospitals and clinics in the U.S., AI notes that match doctor styles offer clear benefits. They help make notes more accurate, save time, and get doctors to use AI tools. By fitting into doctors’ workflows, AI reduces paperwork, improves quality, and supports better experiences for patients and providers.
Hospitals should plan to use AI that includes ambient note-taking, helps with documentation, and assists with clinical decisions. These features not only help operations but also support financial health in a difficult healthcare setting.
AI tools like those from Simbo AI and Regard show where clinical notes are going—combining technology with doctor-centered designs to improve healthcare in the U.S.
Regard’s platform combines electronic health record (EHR) chart data with physician-patient conversation to generate comprehensive, proactive documentation and diagnostic insights, enabling more accurate bedside diagnoses.
It integrates historical patient data and real-time conversation via ambient dictation to create near-complete draft notes before and during patient encounters, providing up-to-date, detailed clinical context to physicians.
Regard uniquely recommends diagnoses by analyzing vast patient data alongside conversational input, whereas most AI scribes summarize conversations without deep clinical diagnostic functionality.
It saves doctors time by surfacing critical insights without requiring additional charting effort, improving documentation accuracy and reducing physician burnout related to EHR usage.
WakeMed clinicians report improved patient care in ICU and inpatient settings due to critical data surfacing, enhanced documentation quality, and reduced likelihood of missed diagnoses.
By improving documentation accuracy reflecting patient complexity, Regard helps hospitals achieve better quality scores and secure appropriate reimbursement, supporting better financial and clinical outcomes.
Max supports clinical workflows by answering patient data questions, summarizing encounters, and facilitating diagnostic insights, thereby enhancing decision-making and efficiency.
Regard intends to roll out the proactive documentation capability to all 150 hospitals it partners with by the end of the year mentioned in the article.
Merging patient conversational data with historical medical records provides a fuller, more current clinical picture, enabling more precise diagnoses and complete documentation.
Customizing draft notes to individual physician style improves adoption, streamlines review, and enhances documentation efficiency while ensuring notes reflect clinician preferences and clinical accuracy.
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