Artificial Intelligence

When healthcare practices support reliable digital engagement tools, patients can better access and comply with care.

Despite years of investment, many hospitals remain digitally fragmented. A command centre approach offers a practical way forward, integrating data and decision-making in real time to enhance operational and surgical performance – and patient care.

Tjasa Zajc, special advisor for content at HIMSS, offers a "recipe" for AI-enabled care – from data governance to pilot projects – ahead of the conference, which is set to take place in Paris from 10-12 June.

AI is steadily reshaping healthcare with promising advances, but significant challenges to broader adoption still must be overcome.

The Oregon health system's coder workload has been reduced by nearly 28%, while coding-related denials for autonomously coded radiology cases are now 70% lower than those managed manually. The automated denial rate is also substantially lower.

Before implementing AI tools, leaders must ensure data flows freely between their EHR and practice management systems, and that they know how the tool will fit into existing procedures, says Matt Murren, CEO of True North ITG.

Providers deal with integration issues and regulation difficulties in implementing AI and data analytics, says Tan Bin Ru, president of Enterprise Digital at ST Engineering.

The HIPAA-compliant generative artificial intelligence is being provided to all students, faculty and staff at the Icahn School of Medicine to serve as a learning aid and enhance curriculum development.

Berkeley Research Group's new research shows providers considering deal activity to address challenges and opportunities with AI, cybersecurity and digitization. James McHugh, managing director of the research and consulting firm, offers a deep dive.