FREE WEBINAR + LIVE Q&A – WED, JUNE 8, 2022 – 1 PM EDT



Leverage AI to Protect the Integrity of Your Laboratory’s Revenue Cycle



Use Machine Learning to Detect Compliance and Revenue Performance Threats Before
They Have a Negative Influence on Your Bottom Line


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Wednesday, June 8, 2022 | 1 PM EDT

60-Minute Webinar Sponsored By

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Why you should attend

After attending this webinar, you’ll understand:

  • The basics of artificial intelligence (AI) and machine learning (ML) as an unbiased observer of your lab’s data
  • How utilizing these techniques assists in the detection of lost revenue and potential compliance issues
  • How to identify key trackable attributes in protecting your revenue cycle
  • How to predict revenue cycle trends based on specific claims and payer relations
  • What to expect when adopting AI/ML to optimize your financial and compliance operations

About this webinar

Invisible revenue cycle compliance and performance threats are the largest risks to a healthcare organization’s financial integrity. If undetected, these lead to poor payer relationships, payer recoupments, lower revenue, fines, audits, adverse contractual agreements, and, unfortunately, low industry reputation. The sooner you detect these threats, the less damage they can do. 

Thankfully, recent innovations in the healthcare financial space have leveled the playing field in favor of laboratory executives. With the real-world application of artificial intelligence (AI) and machine learning (ML) in the medical laboratory revenue cycle, laboratory executives can detect compliance and revenue performance threats in near-real-time, protecting their revenue performance and compliance, all while keeping existing investments in billing systems and revenue cycle management (RCM) partners. This may come as welcome news to laboratory executives who are caught in a costly reactive approach to lab claim denials, rejections, appeals, and other anomalies.

A new complimentary webinar from Dark Daily brings case examples of revenue management improvements gained from AI/ML in diagnostic laboratory billing, including compliance, operational key performance indicators, and actionable executive reporting. The free webinar will feature revenue cycle leaders who have leveraged advanced AI/ML to identify revenue performance and compliance opportunities, while proactively addressing and remediating financial issues that all labs face.

 

 

Expert Panel

Carlos Taborda

Founder & CEO

Gistia Healthcare

Carlos Taborda is the founder and CEO of Gistia Healthcare, which specializes in digital innovations for laboratories. Carlos has over 17 years of experience in technology leadership and has worked on large-scale innovations for Fortune 500 companies and across the healthcare industry. He is a passionate advocate for using technology to improve the business of healthcare. He is committed to Gistia's mission of making healthcare organizations more profitable, compliant, and effective through digital solutions.

Anthony D'Angelo

Vice President

Gistia Healthcare

Anthony D’Angelo brings 15 years of experience within the healthcare and life science sectors as an analytics leader. He has specialized in building business intelligence and data governance programs at two major health systems and for a genetics laboratory. His efforts in these areas have led to improved clinical and financial outcomes. He also has previously served for five years as a board member for the Healthcare Data Analytics Association (HDAA). Anthony holds a master’s degree in management from New York University—Polytechnic School of Engineering.

Heather Bogner

Director, Revenue Cycle

Gravity Diagnostics

Heather Bogner brings over 20 years of experience in healthcare operations and revenue cycle management and consulting, with a focus on revenue maximization, process improvement, and customer service. Her background includes leadership in academic medicine, private- and hospital-owned physician practices. She is driven by her passion for team building and commitment to continuous improvement. Heather holds a master’s degree in health administration from the University of Cincinnati and a master's degree in education from Xavier University. Heather is also a Certified Healthcare Financial Professional and Certified Revenue Cycle Representative through the Healthcare Financial Management Association.

Who should attend?

  • Laboratory leaders and business champions in revenue cycle, operations, technology, and compliance
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