Discover how rapid point-of-care STI testing can support earlier detection, faster care decisions, and improved outcomes for women. This on-demand session breaks down the rising burden of syphilis, HIV, and HCV, highlights the advantages of rapid testing, and explores practical strategies for integrating these tools into everyday practice.
Optimizing Healthcare Resource Utilization: Why Exome or Genome Sequencing Should Be First-Line Diagnostic Tools
Sponsored by: GeneDx
Learn how exome and genome sequencing (ES/GS) delivers faster, more accurate diagnoses, reduces unnecessary testing, and drives cost savings—despite fragmented payor coverage. Download for free today.
How Medicaid Payers can Prepare for New Work Requirements Coming in Early 2027
Sponsored by: GroundGame.Health
Learn how Medicaid payers can prepare for the 2027 work requirements by improving communication, automating verification, and building compassionate, compliant outreach strategies. Download this free white paper to learn more.
Hospital-at-Home: Present State and the Road Ahead
Sponsored by: MCG Health
The Acute Hospital Care at Home (AHCAH) program has extended beyond the pandemic, allowing health systems to provide inpatient-level care at home. While individual programs have demonstrated success, the program’s scalability, quality, and comparability with traditional inpatient care remain uncertain due to limited data and inconsistent standardization. Future progress hinges on the establishment of clear patient criteria, structured care models, and robust quality metrics.
Share your insights in our brief survey on the future of AI and interoperability in healthcare. Your feedback will help shape the direction of these critical industry advancements.
Download this white paper to discover the evidence, data, and real-world scenarios that highlight how Observation Care —when applied appropriately—can benefit payers, providers, and patients alike
Optimizing LLMs for precise analytical outpute: The IMO Health approach
Sponsored By: IMO Health
AI without clinical grounding won’t hit the mark in medical coding. This guide shows how a clinical knowledge layer — built on robust terminology and expertise — boosts LLM accuracy, coding precision, and operational efficiency for better downstream analytics.