• Define Patient Safety Indicators (PSIs)
• Explain the impact of PSIs
• Describe the initial PSI review process at UT Southwestern
• Examine the evolution of the PSI process
• Highlight key performance improvements achieved through PSI process optimization and interdisciplinary collaboration

Artificial intelligence is transforming healthcare operations, documentation, analytics, and decision-making, creating new opportunities and challenges for HI professionals. This session explores how AI is reshaping workforce roles, competencies, and expectations across organizations. Participants will examine emerging workforce trends, as well as strategies for building AI literacy and workforce readiness.

Learning Objectives:

By the end of this presentation, participants will be able to:

1. Describe how AI is changing workforce roles, responsibilities, and competencies within health information management and healthcare organizations.
2. Identify emerging skills and capabilities health information professionals need to remain effective in AI-enabled healthcare environments.
3. Evaluate the organizational risks associated with AI adoption, including workforce readiness, AI literacy gaps, governance challenges, and human oversight requirements.
4. Apply strategies for developing “capable humans-in-the-loop” who can effectively collaborate with AI while maintaining quality, compliance, and accountability.

As artificial intelligence continues to be implemented across the healthcare spectrum, this session will explore how visionary leadership is essential for its responsible adoption. Attendees will gain insights into strategies for fostering innovation, building trust, navigating governance and ethical considerations, and preparing healthcare organizations for AI-enabled transformation.

Learning Objectives:

By the end of this presentation, participants will be able to:

1. Attendees will be able to explain key AI concepts in healthcare.
2. Attendees will be able to assess data and infrastructure risks.

Attendees will gain insights into leadership applications for responsible AI implementation.

As experienced HIM professionals retire or transition, healthcare organizations risk losing critical knowledge, leadership capacity, and operational continuity. At the same time, AI, automation, data governance, interoperability, privacy, and regulatory demands are reshaping workforce needs. This session turns succession planning into a practical strategy. Attendees will learn to identify vulnerable roles and knowledge, assess bench strength and skill gaps, develop high-potential employees, and strengthen continuity through mentoring, cross-training, and knowledge transfer. Leaders will also connect succession readiness to compliance, productivity, engagement and resilience. Participants will leave with an actionable framework to identify readiness, close gaps, and build tomorrow’s HIM leaders today.

Learning Objectives:

By the end of this presentation, participants will be able to:

1. Identify critical HIM roles, institutional knowledge, and emerging competencies that may create operational or leadership gaps.
2. Assess organizational bench strength and employee readiness to prioritize succession and professional development needs.
3. Apply practical mentoring, cross-training, knowledge-transfer, and development strategies to build a sustainable pipeline of future HIM leaders.

Discover how education and industry partnerships can shape the future of the cancer registry profession. This presentation highlights the collaboration between an NCRA-accredited educational program and a cancer registry employer to prepare students for meaningful careers and meet workforce needs. Explore how advisory partnerships, employer engagement, and real-world workforce connections create pathways from the classroom to employment—and strengthen the cancer registry profession through education, collaboration, and opportunity.

Learning Objectives:

By the end of this presentation, participants will be able to:

1. Describe the role of Oncology Data Specialists (ODS) in collecting, managing, and maintaining cancer data that supports cancer surveillance, research, treatment, and public health initiatives.
2. Explain how oncology data specialists contribute to the fight against cancer through the collection and use of accurate, timely, and reliable cancer data.
3. Describe the role of education-industry partnerships in developing a qualified cancer registry workforce.
4. Identify strategies for strengthening collaboration between cancer registry employers and educational programs.
5. Discuss how advisory board engagement and employer partnerships can create pathways from education to employment and support the future of the cancer registry profession.