New Healthcare AI eBook Offers Timely Insight and Education about Fraud, Waste and Abuse Threats
Codoxo, a trusted provider of healthcare artificial intelligence solutions for healthcare payers, agencies and pharmacy benefits managers (PBMs), announced the release of its Forensic AI Alerts eBook: 2022 FWA Trends to Inform 2023 Cost Containment Strategies. The new eBook delivers healthcare leaders with the latest fraud, waste and abuse (FWA) threats that require real-time action, including emerging and evolving schemes, new treatments, the latest coding guidelines for viruses, and areas where upticks in fraudulent claims have been identified.
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Codoxo’s eBook is a culmination of Forensic AI Alerts curated throughout the year by Codoxo’s team of payment integrity and FWA experts. These AI Alerts equip healthcare payers, agencies and PBMs with timely news and information about emerging trends, threats and schemes that may impact b****** and their bottom lines.
“Healthcare leaders need trusted sources of information to help navigate trends and best practices that impact the rising cost of healthcare,” said Rena Bielinski, Codoxo VP of Customer Success. “Our published reports highlight what’s new and important, from common pitfalls in dental claims to updated telehealth b****** codes. Our new eBook provides essential insights and recommendations that cost containment teams need to stay current and build impactful programs in the year ahead.”
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Highlights include:
- Telehealth coding changes
- Emerging trends in physical therapy and coding inconsistencies
- Discrepancies in dental claims resulting in billions worth of annual losses
- Pharmacy audit preparation
- Coding updates for COVID-19 and MPox
In the healthcare industry, FWA is a multi-billion-dollar problem, accounting for as much as 10% of the $3.8 trillion spent on healthcare each year. It has commanded the attention of healthcare executives who want money-saving solutions. By providing specific steps for how to act quickly to protect healthcare dollars, Codoxo’s eBook compliments its mission to help healthcare companies minimize risk and contain costs through artificial intelligence, machine learning and automation solutions.
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