Agentic AI
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Artificial Intelligence & Machine Learning
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Data Privacy
Peter Justen of AmeriTrust on How Data Integrity Affects Benefits Administration
Artificial intelligence is transforming healthcare and government benefits administration, but organizations must strengthen data quality and operational processes before expecting meaningful results, said Peter Justen, founder and CEO of AmeriTrust Solutions.
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Many healthcare organizations are facing pressure to modernize rapidly with AI, he said. Yet certain activities such as Medicaid enrollment and eligibility workflows often remain fragmented, manual and dependent on incomplete information.
For example, inaccurate or missing data creates downstream inefficiencies, delays reimbursement processes and weakens the value of AI-driven analysis, Justen said. To help avoid those issues, organizations should focus more intently on process integrity, data reliability and eligibility verification before adding advanced technologies, he said.
Also, fraud prevention involving government benefits such as Medicaid works best when agencies identify potential issues at the beginning of the process rather than relying on recovery efforts after improper payments occur.
“The adoption story, in my opinion, isn’t really about the tool. It’s about what’s the tool being asked to sit on top of. Because when the foundation is inconsistent, the technology, no matter how good it is, inherits that inconsistency,” he said.
In this video interview with ISMG, Justen also discusses:
- Why data quality determines AI effectiveness in healthcare;
- How Medicaid enrollment workflows create operational friction;
- Ways AI can improve fraud detection and administrative efficiency.
Justen is founder and CEO of AmeriTrust Solutions, a benefits program management firm. He is an entrepreneur and innovator focused on modernizing public benefit systems. Justen has more than three decades of experience spanning technology, finance and social impact, and he has led efforts to make complex systems more efficient and accessible for vulnerable populations.