How AI is Reshaping Clinical Decision-Making
Mar 3, 2025 · The future of diagnosis, treatment, and trust is being built right now – and HIMSS26 is where it accelerates. AI has moved beyond hype in healthcare. In 2025, it’s embedded in the clinical …
Evidence-Informed Policy Analysis: Standardizing AI in Shared …
This policy analysis examines gaps in strategies for the integration of ethical, transparent, and patient-centered artificial intelligence–supported shared decision-making (AI-SDM) in healthcare.
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Be part of HIMSS26, the premier healthcare event driving health IT innovation and digital transformation. March 9-12, 2026, in Las Vegas.
Provides a current-state analysis and informs a future state roadmap for technology infrastructure required for organizational goals to meet international benchmarks and standards for interoperability, …
With a strategic approach to exhibitor success, HIMSS Global Health Conference & Exhibition offers tools, resources, and personalized guidance from pre-event planning to post-event analysis, …
Digital Triplets in Healthcare: Harnessing ROI from Agentic and GenAI
AI-enhanced decision support across complex data ecosystems for improved diagnosis explanations and treatment analysis Predictive modeling that optimizes healthcare systems and improves patient …
Making Individual Access Real: ASTP's LEAP Project and TEFCA's Future
The Leading Edge Acceleration Projects (LEAP) in Health Information Technology move interoperability from policy into practice by tackling real-world technical barriers limiting adoption and scale. Through …
Enhancing Trauma Care: Automated Data Analysis Tool Development
A data analysis tool was developed to improve the process of analyzing trauma over triage and under triage reports, providing enhancements over the traditional manual calculation method.
AI-Powered Detection of Preventive Care Gaps Using Natural Language ...
Describe how comprehensive analysis of structured, semi-structured and unstructured EMR data enables identification of care gaps
Freeing the EHR from the Constraints of the Past
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