Driving better patient engagement outcomes with AI & machine learning

Now more than ever, patients are willing to incorporate emerging technologies in all aspects of their lives — including using AI and machine learning to assist them in managing health outcomes. In sharp contrast to patients’ overall comfort level with AI being used in their care, recent data suggests only 35 percent of patients say they feel valued by their physician’s office. Furthermore, only 50 percent of patients said their physicians are readily available, with one-fifth of patients either disagreeing or strongly disagreeing that their physicians are easily accessible. We can do better to reach this key population, providing better access to care and quality engagement. Enter AI and machine learning. These capabilities offer healthcare providers the opportunity to more deeply engage patients and ensure they feel heard and valued by their care team. Additionally, success with value-based care models means providers need to drive wellness and behavior change. AI and machine learning can help fill gaps in care in an efficient way to improve patient outcomes and overall satisfaction without adding to a physician’s workload. Reaching patients where they are — at the right time — will enhance overall health outcomes while helping boost satisfaction. Using AI and machine learning will greatly help achieve these goals. You can see more data around patients and AI here.