Reduce no-shows with healow AI-Powered No-Show Prediction Model скачать в хорошем качестве

Reduce no-shows with healow AI-Powered No-Show Prediction Model

Discover how Healthworks, in Northern Virginia uses eClinicalWorks® and healow® AI-powered No-Show Prediction Model to reduce no-shows. In this eClinicalWorks Podcast, host Adam Siladi talks with IT Director Jesse Burke about moving from reactive, blanket outreach to proactive, targeted support that removes real barriers for patients. As a community health center, Healthworks for Northern Virginia faces a no-show rate around 15% and serves a population that is roughly 60% self-pay. Transportation in the area is limited, childcare is costly, and missing work can mean missing income. Traditional after-the-fact reports and mass campaigns didn’t help fill the schedule or meet patients’ needs. With the healow AI-powered No-Show Prediction Model, risk scores appear right on the resource schedule while staff are booking. Teams can see which visits are likely to cancel, reschedule, or no-show, ask better questions, tag barriers like transportation and daycare, and tailor their outreach. The analytics and reports quantify trends across the population, revealing patterns such as transportation driving more than half of missed visits. That structured data helped Healthworks for Northern Virginia secure grants for non-emergency medical transportation, set up a transportation account to bridge gaps, and build partnerships with childcare providers. What this really means is more patients get seen and fewer slots go unused. Staff focuses its efforts where it matters, use alternate contact methods when phones are off, confirm high-risk visits with extra touchpoints, and connect patients to the services they need to make it to the appointment. The practice gained a clear path to show funders both the size of the problem and how funds would be targeted, strengthening applications and outcomes. ⏱️Timestamps 00:00 eClinicalWorks & healow National Conference 2025 00:41 AI No-Show Prediction Model (Sunoh.ai, healow Genie) 01:21 Community Health Center Challenges 02:55 AI in Scheduling Patients 04:53 Patient Barriers: Transport & Childcare 07:30 Before vs After AI Outreach 08:55 Grants & Access to Care 10:58 Staff Using AI Tools 13:02 Learn More | healow, eCW 13:13 Outro