Resource Library

Tag: AI and NLP

The AHA and IMO Health on integrating AI into clinical workflows – seamlessly

The AHA speaks to Steven Rube, CMO of IMO Health, about how responsible AI can ease clinician burnout and improve decision-making at…

Article

Clinician Engagement

How can ambient AI scribes capture clinical nuance?

Ambient intelligence tools are skilled at recording patient-provider encounters in real-time. But can they truly understand them?

Article

AI and NLP

Rethinking literature reviews with AI and clinical terminology

Pharma’s SLR workflows are slow, costly, and error-prone. See how AI and clinical terminology accelerate evidence generation with precision and trust.

Article

Clinical Terminology

Faster, smarter, scalable: Redefining evidence generation in life sciences

See how generative AI and clinical terminology are transforming systematic literature reviews to make evidence generation faster and scalable.

Article

Clinical Terminology

Life sciences and the need for speed: How AI and clinical terminology accelerate evidence generation

See how generative AI and clinical terminology are transforming systematic literature reviews to make evidence generation faster and scalable.

Insight Brief

Clinical Terminology

Protecting clinical intent in the age of AI

Why trust, accuracy, and workflow fit will define the future of healthcare documentation.

Article

Clinical Terminology

An organized medical problem list matters more than you think

A cluttered medical problem list fuels clinician fatigue. Smarter tools can keep it clean, accurate, and useful to ease the burden of…

Article

AI and NLP

Why ontological tools are essential for rare disease care and research

Leaders from UNC, Johns Hopkins Medicine, and IMO Health weigh in on the future of diagnostics. Learn key takeaways from this on-demand…

Article

Clinical Terminology

Invisible patients, fragmented data: How gaps in information obscure rare disease

The gap between rare disease research and care is vast, leading to long diagnostic journeys – especially for pediatric patients. Structured data…

eBook

Clinical Terminology

Improving clinical outcomes for pediatric patients with rare diseases

Half of U.S. rare disease patients are children – yet most face delayed diagnoses and few treatment options. Here’s how structured data…

Article

Clinical Terminology

Improving ambient AI accuracy with a clinical foundation

As ambient AI enters clinical care, grounding tools in real-world clinical context is essential to ensure safe, accurate, and explainable outputs.

Article

AI and NLP

Optimizing LLMs for precise analytical output: The IMO Health approach

Medical coding with LLMs is challenging. Learn how IMO Health's knowledge layer boosts clarity, trust, and efficiency in AI results.

Guide

AI and NLP

POINT OF CARE WORKFLOW

DATA QUALITY MANAGEMENT

Tag: AI and NLP

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POINT OF CARE WORKFLOW

DATA QUALITY MANAGEMENT