One big challenge for using AI in healthcare is not enough training. Many doctors feel they do not understand AI tools well. They may not know how these tools work, where they have limits, or how to read their results right. This makes some doctors worry about using AI or think it will increase their work or risk.
The American Medical Association (AMA) has seen this problem. They created policies to help doctors learn more about AI during their education. AMA CEO Dr. John Whyte, MD, MPH, said that medical students should learn about AI just like they learn anatomy and physiology. The AMA is making AI learning goals and teaching tools for doctors and medical students to use AI well and safely.
In daily work, medical leaders should keep offering Continuing Medical Education (CME) about AI. The AMA’s ChangeMedEd® program has a free seven-part AI course that covers ethics, clinical proof, and rules. These resources help doctors stay up to date as AI changes, reducing doubt and increasing trust.
Healthcare groups should also work with AI training programs and include AI knowledge as an important skill in training. Making AI education a required part of training can help stop fear or worry about new technology or more work. When doctors understand AI clearly, they are less likely to reject it.
Whether doctors trust AI depends a lot on good clinical evidence. This means showing that AI tools work well and are safe. A 2024 AMA survey found that 68% of doctors saw benefits in AI, but many still had worries about guidance and proven results. This shows that more strong studies are needed to prove how AI helps patients and makes work easier.
Healthcare managers should choose AI tools that have solid clinical evidence. They should look at outcome data, user reviews, and official approvals to pick reliable products. It is important to be clear about what AI tools do, how they decide things, and their limits. The AMA says this is very important.
Using AI tools that really help with tasks like paperwork, scheduling, and patient calls can make doctors’ jobs easier. This practical method lowers disruption and helps doctors accept AI in their daily work.
Teaching doctors about this evidence and letting them help pick AI tools builds trust. When doctors know why AI suggests things and have a say in how it is used, they accept it more.
As AI use grows in healthcare, clear policies are needed to handle ethical, legal, and practical questions. The AMA has worked on this by calling for fair and open AI development, data privacy, clear rules on doctor responsibility, and ways to stop misuse.
One problem in medical offices is figuring out liability when AI helps make decisions. Doctors need clear rules on what they are responsible for when using AI to avoid legal confusion. The AMA suggests policies that explain doctor accountability while saying AI supports human intelligence—it helps, not replaces doctors.
Another issue is keeping patient data private and safe. Healthcare groups must follow laws like HIPAA and protect against new risks from AI systems that use lots of patient data. Clear rules about data use help keep patient trust and doctor confidence in AI.
Healthcare groups, technology companies, and regulators must work together to make good policies. Programs like the AMA Intelligent Platform’s CPT® Developer Program help by creating standard codes and payment options for AI, making it easier to use AI in everyday practice and billing.
Medical leaders and IT managers should join policy talks. By matching their office rules with national standards and pushing for clear support, they can reduce confusion that keeps doctors from using AI.
One clear advantage of AI in healthcare is automating office and admin work. Practice owners and managers see chances to improve by using AI for answering phones, scheduling, patient triage, and billing.
For example, Simbo AI focuses on AI-powered phone answering. This tech handles routine patient calls, appointment reminders, and questions. It frees staff and cuts wait times. By using smart voice systems, offices can make patients happier and work better.
But adding AI to workflows has challenges. Studies show issues when AI systems don’t fit current medical or office processes. Lack of leadership support, weak infrastructure, and not enough staff skill also slow down progress.
To fix these problems, healthcare leaders should carefully check current workflows before using AI tools. They need to find where AI really helps and plan how to add it well. Involving doctors and staff in these steps makes transitions smoother by addressing their needs and worries.
Also, leaders should watch how AI tools work after starting them. This helps find problems and change processes if needed. This careful watching, suggested by recent research using the Human-Organization-Technology (HOT) framework, supports long-term AI use.
Automation should make work easier for doctors, not harder. It should cut down on paperwork that causes burnout. Checking staff work levels and feedback shows if AI tools work well. If AI saves time on repeated tasks, doctors can spend more time with patients, which helps both sides.
Using AI well depends on fixing problems with people, organizations, and technology. A 2026 Safety Science review of 92 studies divided these problems into three groups: human (lack of training, resistance), organizational (leadership, infrastructure), and technical (accuracy, explainability).
Medical office leaders can guide this change by:
Using a step-by-step plan with assessment, starting AI, and ongoing review can help offices add AI smoothly and avoid problems.
In the US, medical office leaders have important jobs to help doctors use AI:
By doing these jobs, healthcare leaders help doctors accept and use AI tools well.
As AI becomes a normal part of healthcare in the US, medical practice leaders must focus on training, using evidence, and working together on policies to help doctors. Doing this can improve patient care, make doctors happier at work, and keep AI use practical and steady.
The AMA defines augmented intelligence as AI’s assistive role that enhances human intelligence rather than replaces it, emphasizing collaboration between AI tools and clinicians to improve healthcare outcomes.
The AMA advocates for ethical, equitable, and responsible design and use of AI, emphasizing transparency to physicians and patients, oversight of AI tools, handling physician liability, and protecting data privacy and cybersecurity.
In 2024, 66% of physicians reported using AI tools, up from 38% in 2023. About 68% see some advantages, reflecting growing enthusiasm but also concerns about implementation and the need for clinical evidence to support adoption.
AI is transforming medical education by aiding educators and learners, enabling precision education, and becoming a subject for study, ultimately aiming to enhance precision health in patient care.
AI algorithms have the potential to transform practice management by improving administrative efficiency and reducing physician burden, but responsible development, implementation, and maintenance are critical to overcoming real-world challenges.
The AMA stresses the importance of transparency to both physicians and patients regarding AI tools, including what AI systems do, how they make decisions, and disclosing AI involvement in care and administrative processes.
The AMA policy highlights the importance of clarifying physician liability when AI tools are used, urging development of guidelines that ensure physicians are aware of their responsibilities while using AI in clinical practice.
CPT® codes provide a standardized language for reporting AI-enabled medical procedures and services, facilitating seamless processing, reimbursement, and analytics, with ongoing AMA support for coding, payment, and coverage pathways.
Challenges include ethical concerns, ensuring AI inclusivity and fairness, data privacy, cybersecurity risks, regulatory compliance, and maintaining physician trust during AI development and deployment phases.
The AMA suggests providing practical implementation guidance, clinical evidence, training resources, policy frameworks, and collaboration opportunities with technology leaders to help physicians confidently integrate AI into their workflows.
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