Advancing Health Podcast Summary

Episode Title: 2026 AHA Health Care Workforce Scan: AI and the Future of Staffing
Release Date: March 9, 2026
Host: Elisa Arespacochaga (Group Vice President, Clinical Affairs and Workforce, AHA)
Guests:

• Dr. Gracia Pitcher (Chief Medical Officer and Patient Experience Dyad Leader, Essentia Health)
• Larissa Africa (Vice President, Healthcare Workforce Solutions, Staff Garden by Ascend Learning)

Episode Overview

This episode explores key findings and themes from the American Hospital Association’s 2026 Health Care Workforce Scan. The conversation centers on how hospitals and health systems are redesigning care models, leveraging artificial intelligence (AI) and technology, and supporting a multigenerational workforce to improve patient care, staff efficiency, and satisfaction. Elisa Arespacochaga guides the discussion with Dr. Gracia Pitcher and Larissa Africa, focusing on innovative practices, technology adoption, workforce education, and the challenges of supporting four generations in the health care workforce.

Key Discussion Points & Insights

1. Team-Based Care and Workforce Optimization (00:32–04:31)

• Historical Models Revisited: Larissa underscores the return to team-based nursing, enabling each member to work at the top of their license. RNs focus on complex clinical judgment, while LPNs, CNAs, PCTs, behavioral specialists, and virtual nurses handle distinct tasks matched to their strengths.
  • "Organizations are really leaning into this model because it allows every member of the care team to work at top of their license." – Larissa Africa (01:44)
• Breaking Down Tasks: Organizations are scrutinizing which tasks require an RN versus those that could be offloaded or automated. This maximizes talent and optimizes workflows.
• Holistic Talent Utilization: Gracia discusses Essentia Health’s playbook for aligning tasks with appropriate licensure, avoiding unnecessary use of higher-level practitioners for routine tasks, and considering automation for non-essential human work.

2. Artificial Intelligence (AI) in Health Care Staffing (04:31–10:17)

• Promise and Questions: AI is top-of-mind, showing promise in both clinical and operational roles while raising governance concerns.
• Clinical Decision Support and Operational Efficiency:
  • AI is used for early warning systems—identifying sepsis risk, patient deterioration, or readmission probabilities.
  • Streamlining documentation, especially with ambient listening/AI-powered note-taking, is already benefiting physicians and may soon expand to nurses.
  • "We're not looking for AI to replace judgment for our clinicians. It's giving clinicians a smarter early warning system." – Larissa Africa (05:34)
• Governance and Responsible Use: Organizations should ensure AI addresses real problems, avoid bias in training data, and establish strong guardrails.
• Educating Stakeholders: Gracia emphasizes the need to educate both patients and clinicians on AI’s limitations and safety implications.
  • "We need to educate our patients and our clinicians and operational care teams on what are the current limitations and things that you need to watch for from a safety standpoint with these tools." – Dr. Gracia Pitcher (07:57)
• Data-Informed Care: Leveraging technology to convert disparate data into meaningful, actionable knowledge, reducing cognitive load and individual reliance on memory.

3. Adapting to Generational Change and Technology in Workforce Development (10:17–16:09)

• Leveraging Technology for Recruitment, Education, and Retention: The exodus of baby boomers requires hospitals to attract and engage Gen Z and millennial staff by modernizing education and professional development pathways.
• Rethinking Care Delivery: Gracia advocates for challenging outdated assumptions about in-person care, noting pandemic-era advances in virtual care that can now be sustained and expanded.
  • "We need to challenge ourselves in health care. What requires a visit and leads to still outstanding care?" – Dr. Gracia Pitcher (11:07)
• New and Evolving Roles:
  • Larissa points to new roles (e.g., community health workers, digital transformation nurse leaders) and micro-credentials in AI as part of future workforce pathways.
  • Focus shifts to competency-based staffing, leveraging data for personalized onboarding and professional growth.
  • "When you look at clinical ladder, that's all a manual process for most organizations...You can't do that when everything is on paper." – Larissa Africa (14:27)

4. Managing a Multigenerational Workforce (16:09–19:04)

• Flexibility and Customization: Generational expectations differ—Gen Z wants app-based, 24/7 solutions, while baby boomers value in-person conversations. Care models and communication tools must cater to diverse needs and strengths.
  • "We're all going to have to get comfortable being a little bit uncomfortable in the future, given the challenges that healthcare broadly is experiencing." – Dr. Gracia Pitcher (16:11)
• Career Architecture and Growth: Creating safe spaces for temporary roles and rotations supports professional discovery and growth across all generations.
• Fostering Belonging and Cross-Generational Learning: Enabling older staff to learn technology at a comfortable pace while empowering younger staff to teach fosters engagement and satisfaction for all.
  • "It's creating belongingness across the generations. Not necessarily treating everyone the same, but giving each person what they need to excel." – Larissa Africa (18:52)

Memorable Quotes and Moments

• On AI Not Replacing Clinicians:
  "This is not about replacing people. We know we had what is 103% turnover since the pandemic on the healthcare workforce... we really need tools that help with resilience and well-being." – Dr. Gracia Pitcher (08:06)
• On Leveraging Institutional Knowledge:
  "Think about those clinics where the staff have worked together for 20 years and they know Mr. Smith... How do we take that really rich information and make sure that we have that portrait to help support our patients?" – Dr. Gracia Pitcher (09:10)
• On Diverse Learning Styles:
  "It's giving those who didn't grow up with the technology a safe space to learn...and even allowing millennials and Gen Zs to teach our older generation, so then that gives them fulfillment as well." – Larissa Africa (18:22)

Timestamps for Key Segments

• [01:32] – Team-based nursing and maximizing licenses
• [04:31] – The promise and governance of AI in healthcare
• [07:21] – Ambient documentation and reducing cognitive burden
• [10:17] – Recruiting the next generation and virtual care expansion
• [12:52] – Education and clinical professional development with technology
• [16:09] – Multigenerational workforce support strategies
• [18:16] – Teaching and learning across generations

Conclusion

The 2026 AHA Health Care Workforce Scan and this discussion highlight bold, forward-thinking approaches needed to address evolving workforce challenges. Key takeaways include leveraging team-based models, responsibly implementing AI for both clinical and operational gains, investing in education and personalized professional development, and honoring the unique needs of a multigenerational workforce by fostering flexibility, learning, and belonging.