The COVID-19 pandemic made healthcare communication more digital. Before COVID, doctors already sent many messages with patients, but now that number has grown a lot. At UC San Diego Health, doctors get about 200 messages each week. This takes a lot of time and focus, adding to doctors’ work.
With more digital messages, doctors can feel tired and stressed. They have to write careful replies even when very busy. Medical leaders know this is a challenge. Simple phone services and automatic replies do not work well because they cannot handle the details needed in healthcare messages.
Generative AI means computer programs that create text that sounds like a human wrote it. UC San Diego Health was one of the first in the U.S. to try AI inside Epic Systems’ electronic health records. This AI helps write drafts of replies to patient messages. Doctors check, change, and personalize the drafts before sending.
Research from the Journal of the American Medical Association’s Network Open shows that AI drafts do not make doctors reply any faster. But, the messages are better. Doctors write longer messages with more details and kindness than when they do not use AI.
Dr. Christopher Longhurst, a senior author of the study, says AI drafts do not speed up replies but make it easier for doctors to start writing. The AI makes a kind draft that helps when doctors feel stuck, especially after a long day. This support helps doctors focus on harder patient care tasks and may lower burnout caused by too many administrative duties.
Showing understanding and care is very important in healthcare messages. It helps patients feel safe, trusted, and satisfied. But busy doctors may find it hard to always write quick and caring replies when they get many messages.
The AI tested at UC San Diego Health tells patients when a message was drafted with AI help. At first, some worried about this. But patients have said they like the thoughtful and kind nature of AI help. AI gives doctors a caring draft, so messages still feel personal even when there are many to send.
Dr. Marlene Millen, a co-author, says AI does not get tired or distracted like people do. It can collect patient information and write a first draft that doctors can change. This keeps all messages fitting and personal.
Patient satisfaction is a key measure for healthcare providers. Good communication helps patients feel heard and respected. This affects how well patients follow care plans, their health results, and if they keep returning.
Medical leaders and IT managers want to use technology to improve patient satisfaction while keeping costs and workloads down. The UC San Diego Health study found AI messages are longer and more detailed. This makes replies clearer and more kind. Early patient surveys showed positive feelings about these AI-assisted messages.
Even with these benefits, AI is only an assistant. Doctors still change and personalize drafts before sending. This keeps the human care that patients need. This balance helps keep trust in digital communications using AI.
Using AI in healthcare messages raises ethical questions. Patients should know how their doctors communicate, especially if AI helps write replies.
The studies showed that being clear about AI’s role is important. Notifying patients about AI help keeps honesty and builds trust. This fits with ethical rules in healthcare and supports wider use of AI tools.
Healthcare managers who run IT systems need to think about these issues when using AI communication tools. Clear rules and explanations should be told to patients to avoid confusion.
One useful part of using AI in healthcare is how it fits into daily work. Medical offices and hospitals with many patient messages need smart systems that help doctors without taking away their judgment or personal touch.
AI works like a helper to write the first draft based on patient questions and health record data. Doctors edit these drafts quickly instead of starting from nothing. This lowers mental effort but does not always reduce total time. By improving message quality, AI helps handle many messages more easily and may reduce some administrative stress.
For IT managers, connecting AI tools to existing records systems like Epic Systems used by UC San Diego Health is important for smooth use. IT must keep data safe, make the system easy to use, and protect patient privacy. Helping doctors use easy AI features can also reduce resistance to new technology.
AI workflow can go beyond message drafting. It can include phone answering and front-office tasks. For example, some companies use AI to understand calls, direct them correctly, and solve simple questions without people answering.
This frees up office staff and medical teams from routine jobs, letting them focus more on patient care. Owners and administrators may see better use of resources, happier patients, and lower costs with these tools.
Doctor burnout is a big issue in U.S. healthcare. Getting nearly 200 messages a week adds stress and work. AI helps by making the first part of writing easier, which can be tiring, especially after a full day.
Dr. Longhurst and others say AI does not make reply times shorter, but it lowers mental pressure by giving kind message drafts. This may not fix burnout completely but helps make messaging less hard.
Healthcare leaders might use AI messaging as one way to improve doctor well-being. By making work and communication easier, they can help doctors feel better and provide better care for patients.
As AI messaging tools become more common, medical leaders and IT managers must weigh pros and cons. Early studies from UC San Diego Health show better communication and patient satisfaction without less human oversight.
Investing in AI should focus on keeping patient messages personal and caring while managing staff workload. Clear use of AI, with good IT help and policies, can increase trust and make digital communication work well over time.
Medical offices in the U.S. that want to use or grow AI systems may benefit from working with companies that specialize in healthcare AI. Some companies offer AI for phone and front-office tasks to improve service and efficiency.
As healthcare changes, using AI carefully can help balance speed, care, and patient satisfaction in digital messaging. It helps meet message demands with technology while keeping care focused on people.
This article gives important points for healthcare groups thinking about AI messaging tools. Medical leaders, office owners, and IT teams must work together to make sure these technologies help both doctors and patients and shape digital healthcare in the United States.
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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