Social Media Ideas for Ai Patient Triage

Trauma triage is challenging: Study assesses how AI might help improve accuracy

Making triage decisions in a busy emergency room is tough enough; making triage decisions based on a hurried call with emergency medical staff responding at the scene of an acciden...

Patient Stratification for Improving Acute Chest Pain Management and Mitigating Emergency Department Crowding: Machine L...

Background: Acute chest pain (ACP) is one of the most common chief complaints in the emergency department (ED), accounting for approximately 8% of all ED visits. However, among pat...

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

When AI in claims review overcalls a valid claim

A medical emergency call is never just a phone call. On the other side of the line, there may be chest pain, shortness of breath, trauma, fear, confusion, or a family member trying...

What should AI do when the blood bank is empty?

As physicians, we are taught to diagnose accurately and act quickly. Clinical guidelines assume that if we identify the problem, the health care system will provide the necessary t...

Mental health workers say algorithmic triage is hurting patients

When Kaiser Permanente triage clinician Harimandir Khalsa began working in the psychiatry department at Kaiser’s Walnut Creek Medical Center in Northern California, she was on a te...

From 15 Codes to One Answer: How AI Agents Are Rewriting the Diagnostic Workflow

The End of Manual Triage

Why SRE teams are replacing manual incident triage with AI-assisted correlation, stronger observability and controlled agentic workflows.

911 calls are getting the AI treatment now

New Orleans emergency services are using AI to triage emergency calls. It's not the only city doing so.

Building an AI-Powered Incident Triage Agent with .NET Aspire

Every on-call engineer understands this situation well. An alert fires at 2 a.m., engineers spend the first five minutes figuring out what it means, the next few minutes searching...

A Conceptual Model for Ambient AI Adoption: Perspectives From Academia and Industry

Ambient AI technologies are increasingly marketed as solutions to reduce clinician burden and improve care efficiency; however, real-world performance varies widely across clinical...

LifeBridge Health deploys Prenosis' FDA-authorized AI tool to speed sepsis detection

LifeBridge Health's Sinai Hospital of Baltimore is putting an artificial intelligence-powered diagnostic for sepsis into clinical use, bringing a research-backed tool to the patien...

AI could soon answer 911 calls in New Orleans instead of humans

New Orleans is testing artificial intelligence to filter and triage 911 calls, helping human dispatchers handle massive call surges during severe staffing shortages. When emergency...

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,...

Aon's AI diagnostic targets the governance gap insurers are watching

New assessment tool arrives as coverage denials hit firms without documented AI oversight frameworks

Aon's AI diagnostic targets the governance gap insurers are watching

New assessment tool arrives as coverage denials hit firms without documented AI oversight frameworks

Hippocratic AI rolls out platform to coordinate teams of conversational voice AI agents

For health plans, the AI teams support functions such as member onboarding, chronic care management and Star Ratings improvement. Provider-focused offerings target patient onboardi...

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...

Medical AI Agents for Clinical Decision Support: Viewpoint Using the Planning, Action, Reflection, and Memory (PARM) Ana...

Medical AI agents are emerging as a new generation of clinical decision support systems, moving beyond static prediction toward multistep, workflow-oriented assistance. This Viewpo...

Will AI fix prior authorization—or make it worse?

The government is piloting a program that uses AI for insurance-coverage decisions.

A Secure User Interface for Preclinical Evaluation of AI in Patient Portal Message Management: Tutorial

The growing use of AI to support patient portal message management requires rigorous preclinical evaluation. Directly testing AI within electronic health record (EHR) systems poses...

Why Every Patient Needs an AI Zebra Scan

AI is built to converge on the likely answer. But medicine needs to know what got crowded out along the way.

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 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...