Before the pandemic, virtual care and online patient communication were slowly growing but were not used much in many medical offices.
Since early 2020, there has been a big rise in the need for telehealth and digital communication.
Primary care doctors have seen three to four times more patient messages through electronic portals like MyChart.
This shows more people want remote access to medical advice and help coordinating their care.
This sharp rise in patient messages has made things harder for healthcare providers.
Doctors and their staff get many patient questions, requests to refill prescriptions, questions about test results, and other concerns that need quick answers.
It is now a big challenge to respond quickly without lowering the quality of care.
This is especially true for offices that already have staff shortages and more patients to see.
UC San Diego Health, a large academic medical center, is one of the first places to try using AI in patient communication.
They have started a pilot program where GPT-4, an AI language model by OpenAI, is used in their MyChart patient messaging system.
They call this “Dr. Chatbot.”
It helps doctors by writing draft replies to patient messages.
Doctors then review and personalize these replies before sending them.
Dr. Christopher A. Longhurst, Chief Medical Officer at UC San Diego Health, said this system keeps a human involved to make sure patients are safe.
Doctors check each message to avoid mistakes or wrong information that the AI might create if used alone.
Because patient messages grew so much, the AI-assisted messaging system is helpful for doctors.
Early reports show that licensed healthcare providers liked AI-generated responses 79% of the time.
Doctors said these AI replies were better in quality and showed more care than some messages written by people.
This is important because being kind and having the right tone is very important in patient communication.
It affects how happy patients are and if they follow medical advice.
The system helps doctors by making long answers that are clear, short, and kind.
This helps give quick replies while still showing patients they are cared for.
Using AI in healthcare communication brings up many ethical questions.
At UC San Diego Health, AI messages have labels that say they were created by AI and checked by a doctor.
This helps keep things clear for patients and builds trust.
It also stops patients from getting wrong or cold information without a real doctor reviewing it.
Dr. Longhurst stressed that AI must be used carefully because healthcare decisions are very important.
Doctors are still responsible for the care patients get.
AI is a tool to help them work faster and be more accurate.
Doctors still make the final decisions.
The pilot program’s early success is starting ideas about how to use AI more in health systems.
UC San Diego Health thinks AI can help with tasks like:
These uses might lower paperwork for doctors.
That way, doctors can spend more time with patients and making medical decisions.
Because healthcare money is often limited and there are fewer clinical workers, AI might help make care more effective and easier to manage in the U.S.
Medical practice managers and IT staff will find it useful to know how AI and workflow automation can improve front-office tasks and patient contact.
For example, Simbo AI is a company that uses AI to handle front-office phone calls.
Their system can do appointment scheduling, reminders, prescription refill requests, and basic patient questions without a human answering the phone.
These automated phone systems can reduce the burden on staff by taking care of repeated, time-consuming calls.
They lower mistakes from manual work.
AI systems learn how to understand patient needs and answer properly or send harder questions to human workers when needed.
This mix of AI and human help keeps patients happy while making staff more productive.
Using AI in phone systems fits well with the trend to virtual care.
It moves many contacts online or to automated channels.
This helps handle many calls that would otherwise stress small administrative teams.
Healthcare groups can better manage their staff.
Putting AI chatbots like GPT-4 with phone automation from companies like Simbo AI creates a full communication system.
It gives patients faster replies and easier service access.
This meets the usual expectation today, where many services use automated digital help.
Even though AI can help a lot, it must be adopted carefully.
Sometimes AI makes mistakes or misses important medical details.
So, health centers need good monitoring, regular checking by doctors, and ongoing training for staff.
Medical managers should tell patients about AI’s role in their communication.
This keeps trust and clear understanding.
Patients must also be able to contact a real person.
Automation should not make it harder to get care.
Rules and laws about AI in healthcare are changing quickly.
Issues like privacy, data protection, and legal responsibility must be handled carefully as AI becomes more common in patient talks.
The COVID-19 pandemic forced fast use of telehealth and digital patient help.
It also showed problems like doctor burnout caused by many patient messages.
AI has become a practical tool to help reduce this burden and improve patient communication.
In the U.S., health systems like UC San Diego Health are testing and improving these technologies.
Their $22 million Center for Health Innovation shows how important this work is and that money is being put into it.
After the pandemic, AI solutions will likely grow in care delivery, patient communication, and office work.
Medical practices, especially those with many patients needing virtual care, will find AI tools helpful to keep up efficiency, patient happiness, and good clinical results.
Healthcare managers and IT workers should think about these points when adding AI in their workplaces:
Following these steps can help healthcare groups use AI to improve communication and work efficiency while keeping patient care safe and high quality.
Dr. Chatbot is an initiative by UC San Diego Health that integrates GPT-4 into doctor-patient messaging to improve patient care and alleviate physician burnout.
GPT-4 is used to draft responses to patient messages within MyChart, allowing physicians to edit and personalize the AI-generated replies before sending.
Messages generated by ChatGPT are marked with disclosures that they were automatically generated and reviewed by a physician to ensure transparency and maintain trust.
Physicians are experiencing a three- to four-fold increase in patient messages, making it increasingly unsustainable to respond in a timely manner without assistance.
Early studies suggest that licensed healthcare professionals preferred ChatGPT’s responses 79% of the time, citing higher quality and empathy compared to human responses.
Future applications may include summarizing patient charts, drafting reports, analyzing medical images, and providing diagnostic decision support.
With a $22 million donation, UC San Diego Health aims to expand its Center for Health Innovation to leverage technology and data for improved health outcomes.
This approach is critical in healthcare to minimize the risk of inaccurate information and ensure patient safety through physician oversight.
The pandemic led to a surge in virtual care, increasing the demand for timely responses from physicians, thereby highlighting the need for AI assistance.
Longhurst is cautiously optimistic about AI’s benefits for improving patient care and sees potential for broader applications within the healthcare system.
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