Social Media Ideas for Clinical Ai

Lessons from history guide the future of AI in medical decision-making

Neonatal intensive care units are increasingly becoming decision laboratories: clinicians must synthesize rapidly changing vital signs, lab results, imaging, and historical context...

What It Takes to Build Compact AI for ED Triage: R&D Project by ScienceSoft

Healthcare AI Hallucinations as an Engineering Problem: Four-Layer Architecture for Verified AI Output

Applying AI to Healthcare Integration and Interoperability

One of the coolest AI tools I’ve seen recently was the healthcare integration agent, Rhapsody Axon.  It’s an AI integration agent embedded directly in the Rhapsody and Corepoint pl...

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Faster Decisions Start With AI-Driven Clinical Review

Clinical trials generate more data than ever before. From EDC systems, laboratory data, clinical trial management systems (CTMS), and safety data to operational and real-world… The...

Organizations Must Prioritize Responsible AI in Healthcare

Artificial Intelligence is no longer something on the horizon of healthcare — it is already embedded in clinical practice. AI systems are routinely used in imaging interpretation,...

The benefits of medical AI assistance vary based on user expertise

Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.

AI Review Shows How Tools Help Nurses Manage Chronic Disease More Proactively

AI is moving from buzzword to bedside tool, as a new umbrella review in JMIR Nursing reports that artificial intelligence–enabled nursing interventions can strengthen chronic disea...

AI clinical monitoring agent can deliver up to 82 times the ROI in oncology: report

A new analysis from the Tufts Center for the Study of Drug Development (CSDD) found that an AI clinical monitoring agent can deliver an estimated 82-fold return on investment in ph...

Healthcare Is Deploying AI Tools — It’s Not Ready for AI Colleagues

Most healthcare organizations are experimenting with AI. Few are preparing to manage AI agents as participants in everyday healthcare workflows. The post Healthcare Is Deploying AI...

AI in healthcare: applications and best practices

AI in healthcare refers to the application of artificial intelligence, including...

Understanding Agentic AI in Clinical Development

Earlier this year, my colleague Matt Harrington suggested that clinical leaders should stop asking whether their organizations have an “AI strategy”, not because strategy doesn’t m...

The AI boom could boost Epic's position, execs say. Here's where AI startups can still win

Clinician-facing AI, imaging AI, patient AI assistants, discharge and care transitions and revenue cycle AI are the categories in which health systems are most willing to look beyo...

Six AI agents, one deskside system: A new model for clinical decision support

Multi-agent AI reasoning at the point of care, with complete data sovereignty built in.

AI in the QMS — what it actually does vs the marketing blur

I started poking at AI in our eQMS because the backlog and paperwork were starting to win. The marketing decks promised "autonomous CAPA" and "predictive compliance"; what I needed...

Building the Data Foundation for AI-Driven Clinical Development

H1 is transforming clinical development with connected intelligence that improves study design, accelerates execution, and reduces cost and patient burden

Spotting Alzheimer’s Years Earlier Through AI and Clinically Meaningful Insights

A few minutes of interaction with a digital tablet and speaking can reveal patterns that once required advanced imaging, years of observation, or were just completely undetectable....

Healthcare AI News 8/12/26

This column is presented by InterSystems. Learn how InterSystems helps ...

Most AI tools cleared by FDA were not tested on clinical outcomes

Of more than 1,300 AI medical devices cleared by the FDA, only three tested for patient-centered outcomes like death and morbidity, data show.AI integration into healthcare is rapi...

UCSF, Kleiner Perkins, and Doerr Capital Launch New Healthcare AI Model

Subject of Research: Health system–integrated health AI development Article Title: UCSF Health Converge Launches an “Inside-Out” Accelerator for Enterprise AI in Clinical Care News...

From a Clinician Perspective, Ambient AI Is Returning the ‘Joy Back to Medicine’

As providers move beyond piloting artificial intelligence-powered clinical documentation tools to scaling deployments, they’re sharing best practices that can guide later adopters:...

How AI Inside Clinical Workflows Is Unlocking Patient Throughput

The question is not whether the technology is impressive. The question is whether it shows up at the right time, with the right information, inside the workflow where the decision...

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