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Filter by topic category and resource type for expert insights on clinical AI, optimizing EHR workflows, reimbursement, and more.

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

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