Artificial Intelligence (AI) has become an important part of healthcare in the United States. Between 2023 and 2024, doctors’ opinions about AI changed a lot. More doctors are now using AI and accepting it. Healthcare managers, medical practice owners, and IT staff need to understand these changes. Knowing what doctors think about AI, its benefits, and how much it is used can help these leaders make better decisions about healthcare and how it runs.
In 2024, a study by the American Medical Association (AMA) showed that the number of doctors using AI nearly doubled, from 38% in 2023 to 66% in 2024. More doctors now see benefits in using AI; 68% reported some advantage in 2024, up from 65% in 2023. Those who saw a clear advantage increased from 22% to 28%. This shows AI is becoming common in daily medical work.
The AMA surveys also found that more doctors are excited about AI. In 2024, 35% felt more excitement than concern about AI, up from 30% in 2023. However, about 40% felt both excitement and concern equally, showing some caution. Their worries include data privacy, fitting AI into existing medical record systems, responsibility for AI mistakes, and the need for rules to control AI use.
Doctors are often the main users of AI tools in clinics. Their experiences and opinions are very important for making sure AI works well without hurting patient safety or interfering with their work.
Doctors notice clear benefits when using AI. Many say it helps reduce administrative work. About 57% of doctors think AI can best help by automating office tasks. These tasks include billing codes, writing discharge instructions, and handling insurance approvals. These tasks usually take a lot of doctors’ and staff’s time.
AI tools can create visit notes automatically, help with billing, and organize discharge plans. This makes daily work faster and lowers errors in paperwork. By doing routine jobs, AI lets doctors spend more time caring for patients and less time on paperwork. This can help doctors feel less tired from too much work.
Apart from office work, AI also helps in clinical tasks. Doctors say AI can improve diagnosis, aid in making medical decisions, and increase patient safety. For example, AI can quickly analyze medical images, find patterns in patient information, and suggest treatments that follow current guidelines. These features can help doctors give better, more personalized care.
The AMA stresses that AI should help doctors, not replace them. The idea is called “augmented intelligence,” meaning AI supports doctors’ skills while keeping the human part of care strong.
The use of AI in managing medical offices is growing fast. Hospital managers and practice leaders in the U.S. want AI to solve problems that slow down work. AI is used to automate insurance tasks, schedule patients, and improve communication with patients.
The AMA reports that 80% of doctors find documenting billing codes and visit notes as the most helpful AI uses. Then, 72% see value in AI making discharge instructions, and 71% in automating insurance approvals. These tools can make handling money flow easier and lower the work needed for following rules and insurance needs.
Because U.S. healthcare billing is complex, using AI to cut down on admin time can help practices stay profitable. Practice owners often need to keep patients moving through care, follow rules, and get the right payments. AI phone systems and answering services help by managing patient calls and appointments without putting too much pressure on staff.
One important use of AI in U.S. healthcare is automating daily office tasks. Automating front-desk and back-office work can reduce delays, mistakes, and tired staff. Since there are fewer healthcare workers and more patients, AI helps manage work better.
Automated phone and answering systems help offices handle patient calls smoothly. These systems can set appointments, remind patients, answer questions, and do basic triage without needing a person to answer every call. Using language technology, systems like Simbo AI can talk to patients, let them schedule on their own, and collect needed information before visits.
Linking AI tools with Electronic Health Record (EHR) systems is very important. Eighty-four percent of doctors said that smooth EHR integration is a key need for using AI. Automation that connects with EHR lets data move easily between clinical and office tasks. This stops work from being repeated and lowers errors.
Training healthcare workers on how to use AI is also needed. About 84% of doctors said staff must learn how to use AI tools well for them to work. Protecting patient privacy is another big concern, with 87% of doctors saying it is critical to AI use.
Doctors’ trust in AI depends a lot on rules that keep it safe. The AMA found that 47% of doctors want stronger government oversight, like from the Food and Drug Administration (FDA), to trust AI tools more. Rules help make sure AI is safe, correct, and clear to users. This is important because AI can be hard to understand, sometimes working like a “black box.”
Doctors also worry about who is responsible if AI makes a mistake. They wonder if malpractice insurance will cover errors involving AI. These concerns show there is a need for clearer laws and policies about AI use in clinics.
Even with more interest in AI, some doctors are still careful about how AI affects the doctor-patient relationship. AI helps with efficiency and analyzing data. But relying too much on AI might reduce direct human contact in care. Patients trust doctors because of empathy and communication, which machines cannot fully replace.
Experts say AI should help make care more caring, not take over. Giving patients personal attention and building trust are still very important in health care. AI should be clear, fair, and work well for all groups so it does not make health differences worse.
For practice managers, owners, and IT staff in the U.S., using AI is both an opportunity and a duty. More doctors are using and accepting AI tools from 2023 to 2024. This shows they are ready to use AI to improve care and reduce paperwork. Investing in AI tools that automate workflows, like phone systems, can improve how work flows, patient happiness, and staff health.
Key points for medical practices to keep in mind include:
The AMA shows that doctors especially like AI for handling admin tasks well. As AI grows, doctors and healthcare leaders must guide its fair and responsible use. For practice managers, knowing these trends helps them plan and use AI tools that improve care and keep patient-centered values in U.S. medicine.
Augmented intelligence is a conceptualization of artificial intelligence (AI) that focuses on its assistive role in health care, enhancing human intelligence rather than replacing it.
AI can streamline administrative tasks, automate routine operations, and assist in data management, thereby reducing the workload and stress on healthcare professionals, leading to lower administrative burnout.
Physicians express concerns about implementation guidance, data privacy, transparency in AI tools, and the impact of AI on their practice.
In 2024, 68% of physicians saw advantages in AI, with an increase in the usage of AI tools from 38% in 2023 to 66%, reflecting growing enthusiasm.
The AMA supports the ethical, equitable, and responsible development and deployment of AI tools in healthcare, emphasizing transparency to both physicians and patients.
Physician input is crucial to ensure that AI tools address real clinical needs and enhance practice management without compromising care quality.
AI is increasingly integrated into medical education as both a tool for enhancing education and a subject of study that can transform educational experiences.
AI is being used in clinical care, medical education, practice management, and administration to improve efficiency and reduce burdens on healthcare providers.
AI tools should be developed following ethical guidelines and frameworks that prioritize clinician well-being, transparency, and data privacy.
Challenges include ensuring responsible development, integration with existing systems, maintaining data security, and addressing the evolving regulatory landscape.