5 steps to implement AI in your practice

Given the growing awareness of how powerful and useful artificial intelligence (AI) can be, health care organizations have good reason to try to leverage its vast capabilities. But figuring out how exactly to use this cutting-edge technology to address primary care-specific needs is no small feat.

Meanwhile, the development and adoption of AI aren’t occurring in a vacuum.

Primary care itself is changing in the United States, especially because of the growing adoption of value-based care (VBC). This shift pushes primary care physicians and other employees to deal with patient data in new (and often time-consuming) ways, especially because of the importance of hierarchical condition category coding and risk adjustment. And many health care organizations operate in both value-based and fee-for-service models simultaneously — creating even more logistical and administrative challenges.

In this health care environment, it’s important to implement advanced technologies in ways that reduce the administrative burden on primary care providers and help them offer patients the best care possible. As your organization implements AI, there are five key steps to take in order to make sure that technology simplifies the transition to VBC for your primary care providers.

Ronen Lavi is the CEO and co-founder of Navina, a physician-first AI platform that helps health care organizations succeed in value-based care.