Uploaded January 2026 | Updated September 2026, 3 weeks ago
Want to build something similar? https://ai.science/products-services/llm-agents-bootcamp
Medicare verification is broken and it’s costing hospitals, patients, and CMS billions every year. In this video, I walk through a real-world healthcare scenario that shows why manual Medicare secondary payer verification creates impossible tradeoffs at admission: bill incorrectly or delay care.
I introduce MediAssist, a HIPAA-compliant, multi-agent AI orchestration engine that automates Medicare verification before patients arrive. By proactively collecting Medicare secondary payer information through natural, voice-based conversations and reconciling it against CMS eligibility data, MediAssist gives hospitals weeks of advance runway instead of zero-time pressure.
You’ll see how a non-intrusive browser extension integrates directly into existing EMR workflows, automates patient outreach via SMS, email, or portal, flags discrepancies early, and provides actionable guidance for staff. The result: fewer claim denials, reduced administrative burden, faster care, and better patient experiences.
This is human-centered AI designed to solve both the immediate billing problem and the root cause of data inaccuracies in healthcare systems.
Connect with the builder: linkedin.com/in/abhishek-edlaashok
Join our Slack channel: aisc-to.slack.com
#HealthTech #Medicare #MedicalBilling #AIinHealthcare #ConversationalAI #AgenticAI #HealthcareAI #HumanCenteredAI #RevenueCycleManagement #HIPAA #EMR #HealthcareInnovation #AIProduct #StartupDemo
Want to build something similar? https://ai.science/products-services/llm-agents-bootcamp
Medicare verification is broken and it’s costing hospitals, patients, and CMS billions every year. In this video, I walk through a real-world healthcare scenario that shows why manual Medicare secondary payer verification creates impossible tradeoffs at admission: bill incorrectly or delay care.
I introduce MediAssist, a HIPAA-compliant, multi-agent AI orchestration engine that automates Medicare verification before patients arrive. By proactively collecting Medicare secondary payer information through natural, voice-based conversations and reconciling it against CMS eligibility data, MediAssist gives hospitals weeks of advance runway instead of zero-time pressure.
You’ll see how a non-intrusive browser extension integrates directly into existing EMR workflows, automates patient outreach via SMS, email, or portal, flags discrepancies early, and provides actionable guidance for staff. The result: fewer claim denials, reduced administrative burden, faster care, and better patient experiences.
This is human-centered AI designed to solve both the immediate billing problem and the root cause of data inaccuracies in healthcare systems.
Connect with the builder: linkedin.com/in/abhishek-edlaashok
Join our Slack channel: aisc-to.slack.com
#HealthTech #Medicare #MedicalBilling #AIinHealthcare #ConversationalAI #AgenticAI #HealthcareAI #HumanCenteredAI #RevenueCycleManagement #HIPAA #EMR #HealthcareInnovation #AIProduct #StartupDemo
