In 2022, Urban Health Plan in New York recorded 794,322 scheduled patient visits, but only 457,722 attended, resulting in a loss of revenue and provider burnout. With missed appointments costing the U.S. healthcare system $150 billion annually, traditional methods like phone reminders fail due to the diverse needs of patients. AI-driven predictive models can accurately identify patients at high risk of missing appointments by analyzing factors such as age, insurance, and location. Urban Health Plan implemented this technology, allowing staff to focus on high-risk patients, leading to a 154% increase in show rates. Additionally, AI automates routine communication, freeing staff for personalized intervention. The need for healthcare systems to adopt AI solutions is critical to reducing no-show rates, enhancing patient engagement, and improving operational efficiency. By integrating AI with existing EHR systems, healthcare providers can better serve patients while minimizing operational strain. David Karandish, CEO of Capacity, emphasizes the importance of harnessing technology for better healthcare outcomes.
Source link
