Medical providers are dedicated to helping their patients achieve and maintain better health, but inefficient office operations can make doing this far more difficult than it should be. Canceled appointments and no-shows waste valuable resources and reduce healthcare organizations’ abilities to treat patients. Here’s how the healow® AI-powered no-show prediction model empowered Centerpoint Health to reduce no-shows and appointment cancellations while improving patient access and enhancing practice management.
The Trouble with No-Shows
A time slot in a practice’s schedule is an opportunity to treat a patient and allowing one to go unused costs the organization time and money. Often, appointments are missed due to no-shows, late cancellations, or last-minute rescheduling, and it can be next to impossible to fill these time slots on such short notice. These empty spaces in the schedule represent health issues that do not get treated and revenue that is missed, driving up out-of-pocket costs for the practice.
How healow® Can Enhance the Healthcare Experience
AI in healthcare is one of the most exciting recent developments for medical providers, and healow is committed to staying at the forefront of this wave of innovation. Once the healow AI-powered no-show prediction model is implemented, it identifies the upcoming appointments that are most likely to be missed due to no-shows, cancellations, or last-minute schedule changes. If the patient doesn’t respond to automated methods or cannot be contacted, the practice can notify patients on the waitlist. By giving providers the power to fill time slots despite last-minute scheduling changes, the healow AI-powered no-show prediction model helps organizations optimize scheduling.
How Centerpoint Health Streamlined Its Schedule
Centerpoint Health is a federally qualified healthcare center (FQHC) in Southwestern Ohio that offers family and internal medicine, pediatrics, dentistry, psychiatry, and other health services. The FQHC was dealing with frequent cancellations and no-shows that reduced patient access to healthcare and chiseled away at its bottom line.
Centerpoint Health started implementing healow solutions in July of 2023, and they initially set the AI-powered no-show prediction model to identify appointments that were at an 85% likelihood of missing appointments. The staff found that the predictive technology could accurately and reliably anticipate no-shows and cancellations, and they lowered the setting to 80% for medical patients and 60% for dental patients as they became more confident in its abilities. This model allowed the practice to more than double the number of successful appointments it had with its high-risk appointments.
“Since implementing the AI-powered no-show prediction model from healow, our appointments have increased by more than 20% for both medical and dental services,” said Stephanie Boik, director of quality and risk manager at Centerpoint Health. “It’s not just a tool; it’s a transformation in how we manage patient care and significantly improve our service delivery.”