Family medicine

The study find that the It is already diagnosing cancers and arrhythmias; providing digital health coaching and predicting which patients are at the highest risk of heart failure. Soon; therefore patients with common symptoms can expect to receive advice via AI; and physicians will likely use data from wearable devices to diagnose or treat diseases.

Providing digital health

all the benefits AI can provide, patients fear the specter of robots relaying dire prognoses, while physiciansare wary of more technological burdens. Therefor Steven Lin, MD, clinical assistant professor of medicine and vice chief for technology innovation in Stanford’s Division of Primary Care and Population Health; asserts that we need to implement AI wisely to avoid the downsides. Used right, AI can improve care; lower costs and reduce physician burnout; he said.

In an article published online May 15 in the Journal of General Internal Medicine; Lin outlines 10 ways AI can improve primary care without impeding the human touch. More than half of patient visits are made to a primary care doctor, he wrote, so most of the benefits of AI will be realized in the primary care space.

Primary care doctor

Recently, he discussed the promises and potential pitfalls of AI with science writer Mandy Erickson. Lin: Studies show that about half of all U.S. physicians are experiencing professional burnout. AI carries tremendous potential to improve physician well-being and reduce burnout. It can do so through a wide range of methods, but we believe there are three ways AI will have the most impact.

The first is clinical documentation. Today, for every hour physicians spend face to face with patients, they spend another two hours doing clerical work most of which is spent writing notes. Because AI-powered digital scribes that can listen in on physician-patient conversations and automatically generate a clinical note can unshackle physicians from the electronic health record.

Electronic health record

The second is the way it can adjust physicians’ patient loads. AI algorithms can ensure that physicians have adequate time to address the needs of each patient by increasing or decreasing their patient load based on the complexity of the patients’ conditions. Such models can also be used to determine the level of staffing support medical assistants, nurses, advanced practice providers;Because  clinical pharmacists, social workers needed based on the intensity of care provided; which can contribute to better work-life balance for physicians.

The third is practice management. AI-driven tools can automate tasks such as pre-visit planning, insurance-eligibility checks, insurance claims, prior authorizations, appointment reminders, billing, coding, data reporting and analytics. Automating repetitive tasks that are suffocating physicians and their practices is one of the most anticipated applications of AI.