After-visit summaries are reports given to patients after a healthcare visit. They usually include a summary of the visit, such as diagnoses, treatment plans, medicines prescribed, and follow-up instructions. In the past, healthcare staff wrote these summaries by hand. This could take a long time, have mistakes, and the quality could vary.
Customized after-visit summaries made by AI offer a more consistent and complete option. AI systems listen to or record the patient and doctor talk during the appointment. Then, the AI creates detailed notes automatically. The AI makes sure the information is correct, important, and easy to understand for patients and caregivers.
An example of AI use is at Cleveland Clinic with Ambience Healthcare’s AI platform. This technology helps reduce paperwork for caregivers by creating clinical documents automatically. Rohit Chandra, Ph.D., Chief Digital Officer at Cleveland Clinic, said the AI lets providers spend more time with patients and less time on paperwork.
Cleveland Clinic tested this AI in over 80 specialties in a pilot program in 2024. Providers said the system made documenting visits more complete and accurate. This helped teams work better together and let doctors focus more on patients. The AI also makes customized after-visit summaries that fit the patient’s health details and follow-up needs.
These summaries help not only patients but also their families and caregivers. Clear instructions make it easier to support the patient’s recovery and care. Because the notes focus on clarity and what matters, they reduce confusion and help patients follow their treatment plans better.
Healthcare workers often have too much paperwork. Writing notes can take a lot of time and cause stress. Many healthcare groups, including Cleveland Clinic, know this is a big problem. AI tools like Ambience Healthcare’s platform try to fix this by automating parts of the documentation work.
This AI system listens to patient visits and creates detailed notes and custom after-visit summaries automatically. Healthcare providers then check the notes before adding them to the patient’s record. This process keeps data correct and lets caregivers focus more on patient care.
The effects on work include:
The platform also makes customized after-visit summaries right after visits. This stops delays and makes sure patients get important health information when they need it. It helps patients follow up quickly.
People running medical offices find that AI in clinical notes and patient messages has big effects. Administrators and IT managers in the U.S. often need to bring in technology that makes work easier without lowering care quality.
Using AI for documentation, like Ambience Healthcare’s tools, can lead to:
Because Cleveland Clinic is one of the largest healthcare places in the country with many staff and doctors, their careful testing and use of AI tools show a trend for other similar healthcare systems in the U.S.
Cleveland Clinic tells patients when AI tools are used to make notes and lets them choose not to use them. This respects patients’ choices and privacy. It answers common worries about AI in healthcare.
The AI itself does not make any medical decisions or treat patients. It only helps with note writing. Healthcare providers still review and approve all notes before putting them into medical records. This keeps clinical decisions safe and follows medical rules.
Ambience Healthcare’s AI platform is used by other big health systems too, such as UCSF Health, St. Luke’s Health System, and Memorial Hermann Health System. They use it to lower staff workloads and improve note quality.
This wider use shows that healthcare is changing how it handles paperwork. More places are using automation to save time for patient care. These technologies are becoming a regular part of healthcare work in the U.S.
Knowing how AI helps with documentation and communication is important for medical office leaders and IT staff. Using AI-created after-visit summaries can improve patient care and make work easier. This can help make healthcare clearer and less stressful across the U.S. system.
The primary purpose of Ambience Healthcare’s AI platform is to reduce clinician burnout and enhance patient care by alleviating the administrative workload for caregivers, thereby allowing more time for personal interaction during patient visits.
The AI technology assists in documentation by automatically recording patient appointments and generating comprehensive medical notes, which are then reviewed and approved by the healthcare providers before being uploaded to the patient’s medical record.
Cleveland Clinic clinicians reported increased enjoyment from more face-to-face patient interactions, improved care coordination across specialties, and a reduction in feelings of burnout due to the AI’s ability to reduce administrative burdens.
No, the AI technology does not diagnose or treat any disease or medical condition; it solely aids in documentation and must be validated by providers.
The feedback from the pilot program indicated that the AI documentation solutions were effective across more than 80 specialties and subspecialties, contributing positively to clinician experience and patient care.
Customized after-visit summaries are generated by the AI and benefit patients, their families, and caregivers by providing pertinent information about the visit and follow-up care instructions.
The rollout of the AI technology at Cleveland Clinic will happen in phases over several months, starting with ambulatory providers in the U.S.
The implementation of AI in healthcare promises to enhance the safety and quality of care while improving both patient and caregiver experiences by reducing administrative burdens.
AI technology enhances patient and caregiver experience by saving time, allowing healthcare providers to engage more meaningfully with patients, and improving documentation accuracy.
Ambience Healthcare technology has been deployed at major health systems including Cleveland Clinic, UCSF Health, St. Luke’s Health System, and Memorial Hermann Health System.
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