Denials have significant negative financial implications for hospitals and health systems. Unfortunately, they are extremely difficult to combat because it's difficult to identify the root cuases.
Denials can result from incomplete or inaccurate insurance information, lack of preauthorization, procedures deemed not medically necessary and misdiagnoses and procedure coding errors or omissions. All of these factors can lead to inadequate reimbursement and the accumulation of bad debt due to uncollectible services, costing hospitals and health systems millions of dollars each year.
The complexity of issues that contribute to denials means healthcare organizations must pay close attention to this critical component of the revenue cycle.
In a Sept. 15 webinar, Allison Gilmore, PhD, a data scientist at Ayasdi, a data analytics company, will discuss the key challenges with denials management and outline how hospitals' revenue cycle management departments can use machine intelligence to identify the drivers that trigger denials based on behavior, not rules. Dr. Gilmore will present a live demonstration of machine intelligence in action, and demonstrate how it is an effective tool to prioritize process improvements and prepare for ICD10 .
To register for the webinar, click here.