Doctors today get about 200 messages from patients every week. These messages ask for appointments, prescription refills, symptoms, and follow-up questions. Handling this many messages can feel very hard and tiring for doctors.
This rise in digital messaging started mainly during the COVID-19 pandemic. Because people had to stay apart, most communication happened remotely. While remote messaging helps patients reach doctors easier, it means doctors spend more time outside of visits replying to messages. This adds to their workload.
Many hospitals and clinics find it hard to keep up with so many messages. Doctors sometimes work after hours to answer carefully. There is pressure to reply quickly. This pressure is linked to more doctors feeling burned out, which means they feel emotionally tired and less happy with their jobs.
Generative AI is a kind of computer program that can create text by learning from lots of information. In medicine, it is tested to help doctors by writing draft replies to patient messages automatically.
A recent study at UC San Diego Health, published in a medical journal, tested generative AI inside electronic health records to write patient message drafts. This was one of the first studies to see if AI can help doctor-patient communication. The main goal was to find out if AI could improve message quality and ease doctors’ mental workload.
Key findings from the study include:
Dr. Christopher Longhurst, a lead researcher, said that AI could help with the growing number of patient messages that cause burnout. He noted that longer answers suggest better quality and that doctors liked the help because it reduced mental stress.
The study showed that AI should not replace doctors. Instead, AI acts as a helper. This idea is important for medical offices thinking about using AI. Messages made by AI have notes telling patients that a computer made the draft but that a doctor will check it before sending.
AI writes caring replies using important patient information. This helps doctors keep messages personal without starting from zero each time. It is very helpful on busy days when doctors are tired and find it hard to write detailed replies.
Dr. Marlene Millen, also part of the study, said AI still works well even at the end of long workdays. She explained, “AI doesn’t get tired, so it can help write caring messages while using the patient’s question and data.”
AI is also used to improve other work tasks in healthcare. Front-office jobs like answering phones, scheduling appointments, and handling patient questions take a lot of staff time. Some companies, like Simbo AI, use AI to automate phone answering and front-office work. This helps medical offices run more smoothly.
AI phone systems can:
For office managers, using AI to automate front-office tasks lowers the amount of work and improves how the office runs. This helps especially in busy clinics where many calls come in.
Also, because AI handles routine messages and questions, clinical workers get fewer interruptions during patient care. This creates a better place where doctors can focus more on patients while the office runs smoothly.
Healthcare IT managers have an important job choosing and using AI tools like those from Simbo AI or tested by UC San Diego Health. They need to make sure that:
When handled well, AI can be a useful tool to manage more patient communication without hurting patient care or doctor well-being.
Doctor burnout in the US is a serious problem. It is caused partly by more admin work and digital messages doctors must handle. The UC San Diego study shows AI can reduce the mental load of writing replies by giving message drafts that are caring and thoughtful. This help does not make doctors reply faster but makes answers better.
Using AI drafts allows doctors to focus more on hard cases that need their skill and time with patients. By cutting some messaging work, AI may help protect doctors’ mental health and keep them happier at work.
The study also found that when patients see AI-used messages that are longer and more personal, it helps build a better relationship with their doctor. Good communication helps patients stay involved in care and follow treatment plans.
The first project at UC San Diego Health is an early step toward more AI use in healthcare communication. It was supported by local innovation centers and research agencies.
As clinics in the US keep using digital tools to meet patient needs, AI in messaging and office work will grow. Research on how safe and effective AI is will guide how to best use it. The goal is to make sure AI helps doctors without replacing them.
Healthcare leaders in admin and IT roles need to stay updated on these tools to manage more patient messages, reduce burnout, and improve patient care.
Simbo AI offers AI-based phone automation and answering services for medical offices. Their AI helps manage patient communication by routing calls, scheduling, and answering simple questions. This reduces work on receptionists and clinical staff. Clinics can provide faster service, improve office flow, and support doctor well-being.
Using AI for communication plus front-office automation can be a useful plan for medical managers, owners, and IT teams aiming to run clinics better and handle more patient contact.
The move to AI-supported healthcare communication is a new step for the US medical system. By carefully adding AI tools to help with message writing and admin tasks, healthcare groups can respond better to patient communications while lowering staff stress and protecting doctor health.
The study focuses on the use of generative AI to draft compassionate replies to patient messages within Epic Systems electronic health records, aiming to enhance physician-patient communication.
The study found that while AI-generated replies did not reduce physician response time, they did lower the cognitive burden on doctors by providing empathetic drafts that physicians could edit.
The senior author is Christopher Longhurst, MD, who is also the executive director of the Joan and Irwin Jacobs Center for Health Innovation.
It evaluated the quality of communication and the cognitive load on physicians, suggesting that AI can help mitigate burnout by facilitating more thoughtful responses.
AI is seen as a collaborative tool because it assists physicians by generating drafts that incorporate empathy, allowing doctors to respond more effectively to patient queries.
The COVID-19 pandemic led to an unprecedented rise in digital communications between patients and providers, creating a demand for timely responses which many physicians struggle to meet.
Generative AI helps by drafting longer, empathetic responses to patient messages, which can enhance the quality of communication while reducing the initial writing workload for physicians.
A greater response length typically indicates better quality of communication, as physicians can provide more comprehensive and empathetic replies to patients.
The study suggests a potential paradigm shift in healthcare communication, highlighting the need for further analysis on how AI-generated empathy impacts patient satisfaction.
UC San Diego Health, alongside the Jacobs Center for Health Innovation, is testing generative AI models to explore safe and effective applications in healthcare since May 2023.
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