Burnout among physicians includes emotional exhaustion, feeling disconnected from patients, and feeling less effective at work. Many doctors across the country face this problem. It affects both how they care for patients and their own well-being. One cause of burnout is the growing mental load from patient communication. Technology like electronic health records (EHRs) helps, but it often adds more work after hours, such as handling patient messages.
Talking with patients is very important for good care. But the number and difficulty of messages can overwhelm doctors. After long days, doctors may struggle to find the right words when answering patients. Good communication matters because kind and clear responses build patient trust and satisfaction. Still, the increase in digital messages makes it hard for doctors to keep up without lowering the quality of their replies.
Some AI tools help doctors with patient communication. For example, UC San Diego Health tested AI that creates draft replies to patient messages. These drafts use caring language and include clinical details. They serve as a helpful start, not the finished message.
A study in the Journal of the American Medical Association’s Network Open found that AI help did not make doctors reply faster overall but did lower their mental load. The AI saved doctors from writing messages from scratch, letting them focus on editing and personalizing replies. Doctors said AI helped them get past “writer’s block” and write longer and more detailed messages.
Christopher Longhurst, MD, from UC San Diego Health, said AI can reduce the pressure from many patient messages, which helps lower burnout. The technology helps doctors save mental energy for their clinical work.
Patients also gain from AI help. Early results from UC San Diego show patients like the detailed and thoughtful AI drafts after their doctor personalizes them. These messages can improve patient trust and involvement, which is important for good health results.
Along with communication tools, ambient AI scribes are another useful technology. At The Permanente Medical Group (TPMG), AI scribes type and summarize patient-doctor talks in real time. This reduces the paperwork doctors do by making draft clinical notes during visits. This cuts down on “pajama time,” when doctors work on notes at home after clinic hours.
A report after 63 weeks showed doctors saved about 15,791 hours of paperwork. That is like nearly 1,800 full eight-hour workdays over more than 2.5 million patient visits. Saving this time lets doctors spend more face-to-face time with patients and feel happier in their jobs. Also, 84% of doctors said AI scribes improved communication with patients, and 82% said their job satisfaction improved.
AI scribes do not take the place of doctors. They help by doing routine tasks automatically. This lowers paperwork and lets doctors focus more on patient care. This help is very useful in fields like primary care, mental health, and emergency medicine, where paperwork is often heavy.
AI support has clear benefits but also new problems. Research from Johns Hopkins Carey Business School talks about the “calibration burden.” This means the mental work doctors face when deciding if they should trust AI advice or not. Making these choices can add to doctors’ stress and might increase burnout if AI is not used well.
Doctors are still responsible for decisions, so they must carefully check AI suggestions. This responsibility can cause stress, especially if AI use reduces teamwork with colleagues. Doctors may feel alone if they rely too much on AI instead of talking with other doctors.
For AI to help well, it should support teamwork and mental health. Doctors must review and change AI-generated messages so the patient relationship stays honest and personal.
AI use goes beyond messaging and notes. Workflow automation can help with many repeated and administrative tasks. This improves how well a practice runs and reduces doctors’ workload. For example, Simbo AI makes phone automation for handling many patient calls and requests.
Simbo AI uses artificial intelligence to answer routine patient questions and schedule appointments by having natural language conversations. This lets clinic staff spend less time on phones and more time on difficult tasks. It also makes the clinic run smoother. Quick answers to common questions reduce patient wait time and cut down on the work of writing messages from staff to doctors.
Automated phone services also cover after-hours calls. This gives patients access to help without needing many staff late at night. It improves patient satisfaction, safety, and continuous care, while lowering costs.
When AI phone services link with EHR communication tools, patient contacts from first call to follow-up run better. Used with AI messaging help and AI scribes, automation eases cognitive load for healthcare workers and tackles burnout causes.
Leaders in U.S. medical practices can use AI to reduce doctors’ mental workload and burnout. Careful choice and use of AI tools like message drafting, AI scribes, and phone automation help balance workload and improve patient communication.
Practice managers should check how many patient messages and calls their staff handle and use AI to help where the pressure is high. They should work with IT managers to make sure AI tools connect well with current EHR systems. This avoids problems in workflow and gets the best efficiency.
It is also important to track how AI affects doctor workload and patient happiness. Being open with patients about AI’s role in message drafting keeps trust and meets ethical needs. Research shows doctors must edit AI messages to keep communication personal and caring.
Investing in AI that lowers paperwork and communication work can keep doctors working longer and happier. The Permanente Medical Group’s experience shows AI scribes save time, improve patient care, and reduce burnout.
Finally, using AI should be part of a plan that also supports mental health and teamwork. AI should help human judgment, not replace the doctor-patient relationship that is key to care.
Doctors face a growing mental load because of digital communication in healthcare. AI tools that draft messages with care and write notes during visits help by easing this load without lowering message quality or clinic workflows. Phone AI automation also helps by cutting clerical work and improving operations.
Research shows AI may not make doctors reply faster but does improve how kind and detailed messages are. It lowers mental stress and may reduce burnout risk. Still, good use of AI needs doctors to check its work, be open about its use, and use it in ways that support teamwork and ethics.
By wisely adding AI tools, U.S. medical practices can manage communication better, support doctors’ mental health, and improve patient care.
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.