Search Results: AI

Building trustworthy AI starts with better clinical data

Examine how poor clinical data quality impacts clinical decision making, quality reporting, population health initiatives, and AI performance.

How structured data improves AI, analytics, and research in life sciences

AI can analyze healthcare data at scale, but precision patient identification depends on preserving clinical intent from the start.

How engineers can improve ambient AI specificity with structured clinical data

Take a look under the AI hood with an engineering walkthrough of IMO Health’s Ambient Listening solution accelerator.

Achieving reliable, explainable AI with a clinically grounded knowledge graph

Understand how a healthcare knowledge graph preserves clinical meaning across the care journey for trustworthy downstream data.

Graph to graph: How clinical semantics power real clinical AI

For health tech organizations, consistent clinical semantics are vital. Learn how IMO Health establishes meaning before data floods downstream workflows.

Accelerating rare disease diagnosis and drug development with better data and AI

How better clinical data, AI, and real-world evidence can accelerate rare disease diagnosis, improve trial design, and spark faster drug development.

Case study: Accelerating literature review with AI-assisted precision

AI-enabled SLRs accelerate evidence generation, cutting timelines and manual effort while maintaining accuracy, transparency, and regulatory rigor.

The cost of “small” denials: How tiny claims create big problems

Denials compound over time, leading to administrative burden, lost revenue, staff strain, and missed opportunities. Learn how to break the cycle.

Decentralizing clinical AI value creation with MCP

Learn how IMO Health is integrating MCP servers to become the authoritative “grounding layer” for customer-built agents – redefining healthcare AI.

Grounding clinical AI with knowledge graphs

Clinical AI depends on reliable and explainable reasoning – not prediction. Scroll down to learn why (and where knowledge graphs fit in).

Why medical necessity for imaging and labs drives so many claim denials

Understand how payers evaluate medical necessity for imaging and lab testing – and where breakdowns occur – to improve reimbursement and workflow

Getting clinical-grade AI right in systematic literature review

This session examines the structural components and best practices that separate exploratory AI use from regulator-ready evidence generation: terminology-powered article retrieval logic,

[ POINT OF CARE WORKFLOW ]

[ DATA QUALITY MANAGEMENT ]

Search Results: AI

[ POINT OF CARE WORKFLOW ]

[ DATA QUALITY MANAGEMENT ]