Machine learning to reduce physician burnout

Health and Wellness Informatics News

HIMSS tends to take help from AI tools to reduce physicians burnout. It will emphasize the class of AI-powered redefining the capacity and capability.

Covid-19 made working in the healthcare sector difficult for physicians. With a new class of machine learning technologies, burnout will get reduced.

It is particularly AI-powered digital assistants. However, it will boost primary care physicians’ capacity and capability. This will also lower their administrative and cognitive strain.

Dr. Steven Waldren is vice president and chief informatics officer of the American Academy of Family Physicians. He also explains that the average patient visit to a PCP lasts around 18 minutes. This accounts for 27 percent of the time allocated to face-to-face interaction with a patient. EHR and desk consume 49% of physician time.

A lot of technology isn’t for the patients. Physicians and nurses may not give EHRs a passing grade. There are three main challenges to primary care. They are clerical load, value-based reimbursements, and AI and machine learning. It also requires fundamental transformation. It is what it means to be a physician.

Waldren advises the adoption of market innovations. It will change the clinical setting. Also, the focus is on initial contact, comprehensiveness, and coordinated and continuous care. The practices can enhance both costs and quality while addressing burnout.

The AAFP also tried to accomplish it in just 2018. They tried building a machine learning mechanism to evaluate. The usefulness of AI-based solutions for primary care is immense. The organization dubbed these “innovation laboratories. They also defined the purpose of assessing the worth of emerging technology solutions.

The innovation laboratories identify technologies that address EHR and clerical load concerns. Also, they designed it to be adaptable and useable by family physicians.

The laboratories identified a voice-assisted AI helper for documentation. It would help reduce the EHR burden. It transcribes a doctor’s dictations onto a screen. The program also understands commands and can reply to them. It removes the need for dictation.

The labs recruited 132 members from small practices across 40 states. They tried evaluating this particular piece of technology. It will express considerably higher satisfaction. This is partly due to a 50% reduction in documentation time.

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