In clinically integrated networks, artificial intelligence can help care managers focus on one patient at a time

Research tells us that only about 20 percent of what makes a person healthy is addressed by taking care of medical needs1. Overall health can also be influenced by psychosocial and other factors in people’s lives, as well as the decisions they make about their health when they’re not in the doctor’s office.

Care managers on the frontlines of healthcare likely understand this concept all too well. But when they’re attempting to manage hundreds of individuals, finding ways to monitor progress and encourage patients and their support systems to become more engaged in their care can be overwhelming.

To help care managers optimize their patients’ care across the continuum, clinically integrated networks (CINs) in particular may be able to benefit from artificial intelligence (AI) technology. The use of AI and other forms of advanced health IT can be designed to help care managers:

  • Better and more quickly prepare for each patient they see, with guidance delivered before they meet with the patient
  • Focus on one patient at a time by automating workflow efficiencies
  • See a holistic view of a person’s health and care
  • More clearly assess individual patient needs
  • Identify and remove barriers to goals
  • Suggest highly personalized care plans
  • Monitor and communicate across the care team to ensure consistency and progress

Through the use of patient and care management dashboards, structured AI programs, and workflow tools, CINs can often turn what was once a daunting challenge into the ability to provide patient-centered care. At the same time, AI can help intelligently manage an entire population in a more cost-effective way.

  1. Bipartisan Policy Center, “F” as in Fat: How Obesity Threatens America’s Future (TFAH/RWJF, August 2013).