Between 2016 and 2022, the use of digital health technologies by physicians in the United States increased notably. A study from the American Medical Association (AMA) found that the average number of digital tools used per physician rose from 2.2 in 2016 to 3.8 in 2022. This shows a growing acceptance of digital solutions aimed at improving care delivery.
Telemedicine services saw substantial growth during this period. The percentage of physicians conducting tele-visits increased from 14% in 2016 to 80% in 2022. Remote patient monitoring devices also became more common, with use rising from 12% to 30%. These tools help physicians extend care beyond traditional office visits, allowing for more flexible patient interactions and maintaining continuity of care even under pandemic-related constraints.
Physicians’ interest in these digital tools remains strong. The AMA reported that 57% of doctors expressed interest in tele-visits and 53% in remote monitoring devices. These figures highlight an acknowledgment of the practical advantages such technologies offer in terms of clinical outcomes and operational efficiency.
The main reasons for adopting digital tools include a desire to improve clinical results, increase work efficiency, and reduce stress. Physician burnout is a growing concern, often linked to high workloads and ongoing patient communications. Digital tools may help reduce this strain, potentially benefiting physician well-being.
The COVID-19 pandemic heightened the need for virtual care and digital communication. Patients wanted quick access to medical advice while avoiding exposure to the virus in healthcare settings. As a result, digital communication between patients and providers grew rapidly.
Physicians across the country faced pressure to respond quickly to a growing number of messages. A study from UC San Diego Health found physicians receive an average of 200 patient messages each week. This heavy volume contributes to physician burnout and mental fatigue.
This demand sped up healthcare’s adoption of AI tools, including generative AI designed to help draft responses to patient inquiries. Unlike earlier digital tools that mainly facilitated communication, these AI tools assist in creating and improving the content of messages. This helps healthcare providers maintain quality conversations despite busy schedules.
Recent research shows that generative AI can enhance the quality and empathy of communication between physicians and patients. A randomized trial conducted by UC San Diego Health, published in the Journal of the American Medical Association’s Network Open, studied AI-generated messaging integrated into the Epic electronic health record system.
The study found several key points:
Dr. Christopher Longhurst, lead author of the study and Executive Director at the Joan and Irwin Jacobs Center for Health Innovation at UC San Diego Health, commented on AI’s role in easing communication demands that contribute to physician exhaustion. Dr. Marlene Millen noted that AI maintains message quality even late in the workday, providing steady support.
Data from the AMA’s Digital Health Research survey, which included 1,300 physicians between 2016 and 2022, offers a broad perspective on the use of AI and digital tools.
Currently, about 20% of physicians use AI tools in their practice. However, 40% plan to begin using them within the next year. This indicates growing confidence in the value of AI for clinical and operational purposes. Physicians believe AI can improve diagnosis, support decision-making, and make care more efficient.
Still, several concerns affect adoption:
The AMA also stresses that digital tools must deliver on their promises with clear clinical benefits and offer visible reimbursement options to ensure financial viability.
AI’s role extends beyond communication to improving clinical workflows, which is especially important for medical practice administrators and IT managers in U.S. healthcare, where high complexity and patient loads are common.
AI-based front-office phone automation, such as systems by Simbo AI, helps practices manage patient interactions more efficiently by reducing wait times and streamlining appointment scheduling. Automating routine calls allows staff to focus on more complicated tasks.
Simbo AI uses natural language processing to understand and handle patient requests during incoming and outgoing calls. It deals with simple activities like confirming appointments, canceling visits, or requesting prescription refills without needing human involvement. This can boost patient satisfaction and operational flow.
AI-generated message drafting, as shown at UC San Diego Health, complements workflow automation by lightening physicians’ administrative duties. Doctors can quickly review and adapt AI-created messages that incorporate clinical data from EHRs, making replies both empathetic and accurate. This reflects a collaborative use of AI, supporting providers instead of replacing them.
Healthcare administrators and IT managers need careful strategies to adopt AI and digital tools effectively. They must balance efficiency gains with compliance, data security, and user acceptance concerns.
Key areas to focus on include:
The growth of AI tools for communication and workflows is more than a short-term reaction to the pandemic. It signals a lasting shift in how healthcare operates.
As physicians cope with heavier message loads and higher expectations for quick responses, AI offers methods to manage these demands without sacrificing patient-centered care.
Ongoing improvements in AI and increased physician participation in tool development will be important for wider use. Trends point toward augmented intelligence becoming more common as doctors grow more comfortable with these systems.
Healthcare leaders must prepare by investing in solid infrastructure and policies that promote safe and effective AI use. Combining AI-driven patient communication with front-office automation presents an opportunity to support physicians, improve patient satisfaction, and optimize operations for the long term.
The rise in digital communication within U.S. healthcare has been accelerated by the COVID-19 pandemic. AI tools, including generative AI for patient message drafting and phone automation systems, play growing roles by improving communication quality and reducing physician workload.
Research from UC San Diego Health shows AI can create longer, more empathetic messages that physicians personalize, helping reduce cognitive load and possibly prevent burnout. Data from the AMA indicates that more physicians are using digital health tools, with an increasing number planning to include AI technologies.
For healthcare administrators and IT managers in the U.S., adopting AI tools that fit well within clinical workflows and address legal and privacy concerns offers a way to support physicians and maintain standards of care in a changing environment.
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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