Increase appointment attendance rates, reduce the financial burden of no-shows, and improve the health outcomes with Artificial Intelligence
Nationally, patients are “no-shows” for 30% of their scheduled appointments, representing a $150 billion financial burden on the healthcare system annually. In addition to financial strain, missing appointments can lead to poor continuity of care, increased acute care utilization, and declines in health that could have been mitigated or prevented with earlier diagnosis and treatment.
Across the nation, patients are “no-shows” for 30% of their scheduled appointments. Such a high rate of missed appointments creates a financial burden for clinics and a potential health burden for individuals. For clinics, each missed appointment costs an average of $200, accumulating to an annual amount that can exceed $250,000 per clinic and $150 billion across the health system nationally (1,2).
For individuals, missed appointments can lead to poor continuity of care, increased acute care utilization, and declines in health that could have been mitigated or prevented with earlier diagnosis and treatment (3,4). For some patients, such as those with chronic conditions, repeatedly missed appointments can even lead to an increased risk of mortality. This is particularly notable for patients with long-term mental health conditions—among these patients, people that miss more than two appointments annually increase their risk of mortality by eight times that of similar patients who do not miss appointments (5).
Predictive analytics and AI can help healthcare organizations (HCOs) increase appointment attendance rates, reduce the financial burden of no-shows, and improve the health outcomes of their patients. Using AI-based models, HCOs can predict which patients are most likely to no-show, identify the most significant contributing factors (e.g. long lead times, no-show history, lack of private insurance) and integrate these factors with distinct social determinants of health and complex patient data (6). HCOs can use these insights to proactively address patient-specific barriers in ways that promote care continuity and lead to better health outcomes.