The family medicine experience is based on a deeply personal physician-patient interaction that requires support from technology, yet many technologies used in practice today have greatly eroded the experience rather than enhancing it.
The AAFP Innovation Laboratory was created to partner with industry to drive innovation with the latest proven technologies: cloud, artificial intelligence (AI)/machine learning, and voice and mobile technologies, to optimize the family medicine experience.
We are striving to identify innovative tools that decrease administrative burdens that are stifling the joy of practice and creating a physician well-being crisis. Telehealth and value-based care tools are also being explored.
Family physicians interested in reducing documentation burden had the opportunity to test a new AI tool through the Suki lab.
Suki is a digital assistant for physicians that combines AI and voice-enabled technology. Suki understands natural language and completes tasks such as note creation and retrieving information from the EHR.
It is possible to use Suki as a standalone solution whereby Suki generates notes in PDF format that can then be saved in your EHR. Although the benefits may not be the same as those seen in the phase one pilot, members reported significant improvements using this nonintegrated workflow.
The Suki lab launched in 2019 and has achieved the following milestones:
We are working to gather feedback from family physicians participating in the phase two lab, trialing Suki within their practice. Stay tuned for updates regarding outcomes and participant feedback!
Family physicians have an opportunity to trial Navina, an AI-driven platform that integrates with a practice's EHR and automates aggregation and anlysis of patients' data in real time, with the goal of optimizing diagnoses and coding processes and enhancing clinical workflow.
Navina’s signature product integrates multiple types of patient data from diverse sources (tabular, numerical, time-series, images, text) in real time and restructures it into intuitive, actionable summaries called “Patient Portraits.” Navina’s objective is to ensure that what's most important is immediately clear, diagnostically linked and contextually surfaced, based on the entirety and complexity of each patient’s data and history.
NEW! Navina Lab – Phase One
Navina’s point-of-care model has allowed family physicians and colleagues to access and analyze patients’ data in real time to optimize diagnosis and ICD coding processes. This has helped identify all pertinent diagnoses, enabling users to provide appropriate care. It has also helped physicians increase risk-adjustment factor scores to accurately code diagnoses for proper payment.
Family physicians who have used Navina have seen value in its ability to save time and identify issues that need to be addressed, according to Steven Waldren, MD, MS, AAFP vice president and chief medical informatics officer and founder of the AAFP Innovation Lab.
The Navina lab is open for family physician participation at no cost. Interested AAFP members who want to submit information about their practice for consideration are invited to email eHealth@aafp.org.
We are regularly reviewing and rolling out new innovation opportunities. If you are interested in learning more, email the Innovation Lab at email@example.com. You may opt out of receiving notices at any time.