Social Media Ideas for Clinical Decision Support

Safety and Performance Evaluation of a Clinical Decision Support System for Imatinib Therapeutic Drug Monitoring: In Sil...

Background: Therapeutic drug monitoring (TDM) aims to optimize clinical outcomes but is hindered by logistical delays and susceptibility to data errors. Integrating model-informed...

Clinical Decision Support AI Needs a Review Contract, Not a Diagnosis Prompt

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Is Your AI Query Tool Compliant by Default?

By BRIAN FENGLER Every night in the emergency department, the electronic health record hums with small demands for attention. A nudge about sepsis. A best-practice advisory. A docu...

Participatory Design of AI-Based Clinical Decision Support Systems: Scoping Review

Background: AI-based clinical decision support systems (CDSS) can improve diagnostics and treatment decisions, but they are rarely implemented in practice. Barriers include limited...

Suki launches ‘Ask’ feature for clinical decision support driven by Wolters Kluwer UpToDate AI API

Ask integrates evidence-based clinical reasoning directly into workflows and can provide answers grounded in UpToDate’s proprietary content.

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.

Digital Alerts Support Timely Treatment Decisions of Critically Ill Cardiac Patients

Researchers say alerts can assist clinicians in high pressure situations The post Digital Alerts Support Timely Treatment Decisions of Critically Ill Cardiac Patients appeared firs...

Connected Care: How Children’s Hospital Colorado Moved From Data Silos to Data-Driven Decisions

For data to have a positive impact on patient care, it must be quality and accessible. That’s why the Analytics Resource Center at Children’s Hospital Colorado has focused on impro...

Clinical Documentation AI Needs an Evidence Boundary: Safe Chart Review, Medication Reconciliation, and Handoffs

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Morning Headlines 10/13/26

OpenEvidence and Northwestern Medicine Launch Collaboration to Integrate Clinical Evidence into the EHR Northwestern Medicine in Chicago will embed OpenEvidence’s medical AI tool w...

Interra Health now supports CMS’ GLP-1 Bridge Program

Interra Health’s platform alerts providers when patients may be eligible to enroll in the program, executives say.

Morning Headlines 9/15/26

Oracle Health Clinical AI Agent Helps Nurses Alleviate Documentation Burden ...

Improving AI Adoption Through Better Clinician Support

As health systems across the U.S. continue to explore how artificial intelligence fits into their operations, a frequent point of concern is whether or not a solution can be truste...

A Hierarchical Machine Learning–Based Framework for Clinical Decision Support in Foot Orthosis Prescription: Algorithm D...

Background: Foot orthosis prescription is a complex clinical decision-making process that involves selecting and combining multiple structural, functional, and material components...

Markov Decision Process–Based Personalized Follow-Up Planning for Type 2 Diabetes: Retrospective Cohort Study

Background: Personalized follow-up for type 2 diabetes may improve the alignment between monitoring intensity and patient needs, but operational approaches that jointly consider fo...

Machine Learning to Prioritize High-Severity Patient Safety Events for Institutional Investigation: Algorithm Developmen...

Background: Patient safety events (PSEs) are preventable incidents that cause, or have the potential to cause, harm to patients during their medical journey. Although incident repo...

AI in Medical Documentation and Coding: Emerging Uses, Benefits, and Risks for Healthcare Providers

The AI Patient Communication Boundary: Safe Education, Discharge, and Shared-Decision Drafting

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OncoLens' AI-Powered Analytics Platform Helps Large Academic Cancer Center in Florida Cut Referral Delays and Surface Ca...

Case study finds nearly 9 in 10 actionable cancer data points existed only in unstructured text invisible to standard EMR reporting; OncoLens Analytics helped the center lift on-ti...

<![CDATA[How Clinical Data Layers Impact How Patient Availability is Determined]]>

A Quantifiable 3D Closed-Loop Framework for Controlled Substance Safety in a HIMSS Electronic Medical Record Adoption Mo...

Background: Controlled substances require strict life cycle management, but manual workflows can lead to documentation errors, traceability gaps, and delays in empty-ampoule recove...

SAFE_DTx: Safety-First Framework for AI-Driven Personalization in Digital Therapeutics

Digital therapeutics (DTx) are emerging as evidence-based software interventions, but current AI-driven personalization approaches lack dedicated safety-focused frameworks and face...

Electronic Health Record Workflows in Acute Care Surgery: Ethnographic Study

Background: Systematic strategies to harness electronic health record (EHR) workflows, reduce redundancy, and support decision-making remain limited in acute care surgery (ACS). Un...

Judge AI in health care by its worst answer, not its best

Health care’s AI conversation is moving from documentation to decision. The pitch, repeated across the industry, is that we should stop using AI merely to write our notes and start...