American Society for Healthcare Risk Management ASHRM Annual Conference

AI Integration and Real-Time Governance in Risk Management

Artificial intelligence is rapidly reshaping healthcare risk management, from AI-driven diagnostics and predictive analytics to workflow automation. While leaders are keen to leverage AI for improved risk management, many remain uncertain about integration, governance, and liability. The crucial shift is toward real-time AI governance: 70% of healthcare organizations have stood up AI governance committees, yet only 30% maintain an enterprise-wide AI inventory. Regulatory attention is intensifying, and the industry is moving toward AI-powered risk intelligence to close the adoption–governance gap

CMS Patient Safety Structural Measure (PSSM) and Regulatory Shifts

The forthcoming CMS Patient Safety Structural Safety Measure represents a significant shift, requiring organizations to evaluate and enhance patient safety practices at both structural and procedural levels. This regulatory change is pushing providers from siloed, reactive approaches to fully integrated, triangulated strategies. Systematic preparation—including robust data collection, transparent reporting, and renewed leadership engagement—is now essential for compliance

Rapid Market Growth in Patient Safety and Risk Management Software

The global patient safety and risk management software market is growing rapidly, from $2.48 billion in 2025 to $2.82 billion in 2026 at a CAGR of 13.5%. Growth is driven by increasing adoption of incident reporting automation, rising use of predictive risk analytics, growing integration of compliance and safety dashboards, and expansion of cloud-based platforms. The market is projected to reach $4.72 billion by 2030