WHA Health Care Workforce Analysis BAY AREA WORKFORCE

WHA Health Care Workforce Analysis BAY AREA WORKFORCE BOARD PRESENTATION – NOV 21, 2019 MARY HILTUNEN DIRECTOR OF PROVIDER RECRUITMENT & WORKFORCE CAPABILITY BELLIN HEALTH

Common Challenges Facing Healthcare • • Aging Population Aging Workforce Cost of Chronic conditions Good Economy – 50 yr. low unemployment rate Technology Advancements High level of Compliance and Regulatory Requirements Decreases in Reimbursement 2

2018 WHA Report 3

Aging Population 4

Wisconsin’s Aging Workforce 5

Wisconsin Aging Workforce Rural vs. Urban 6

Bellin Workforce Comparison % Age 55 & Older 40% 35% 30% 25% 20% 15% 10% 5% 0% MT/MLT Resp Therpaist CRNA Pharm Tech LPN RN Rad Tech Bellin Age 55 & Older CMA Surgical Tech WHA Age 55 & Older (2017) 7 OT Pharmacist PT CNA

Bellin’s Workforce Average Age 50 46 45 45 44 42 41 40 39 38 38 38 36 35 30 26 25 20 15 10 5 0 Resp Pharmacist Therpaist CRNA MT/MLT Pharm Tech RN LPN 8 Rad Tech CMA Surgical Tech OT PT CNA

Registered Nurses by Age 2018 Age Bands 40% 35% 30% 25% 20% 15% 10% 5% 0% <25 25 -34 35 -44 45 -54 Bellin 9 WHA 55 -64 65 -74 75+

Bellin Demographics § Female – 83% § Male – 17% § Minority – 4%

Bellin Health by Generation

Bellin System Retention Rate 12

Bellin System Vacancy Rate 13

Wisconsin Health Care Recruitment & Retention by Position 14

Health Care Opportunity Path 15

Solutions • Analyze & understand the Workforce Supply & Demand § Recruitment of the Right talent • • • Reliance and partnerships with strong educational institutions Create youth apprenticeship programs Educate youth on vast array of health career opportunities Job shadowing Reach out and connect w/ diverse populations & educate on healthcareers Create tiered career opportunities Ø Xray – Mammo, US Ø Nursing – CNA, MA Ø PT – rehab aide, PTA 16

Solutions § Engage & Retain talent • • Leadership positions Flex roles – float pools Casual part time roles Less physical roles Project leads Mentors or preceptor roles Focus on Team work Work life Balance initiatives 17

Solutions Use Technology wisely § Optimization of EHR’s • Creates better and more accurate picture of the patients condition • Electronic Portals § Artificial Intelligence – Predicative models of care • High Risk for falls, Return for a UTI, Congestive Heart Failure • Avoid potential hospital Admissions • Reduce avoidable hospital readmissions § Telemedicine • Improve Access to care • Decrease cost to deliver care 18

Solutions Different care models to meet the Demand of our patients and communities § Team based Care • Increase the number of patients that can be seen • Increases the amount of time spent with a patient • Reduces the number of questions and call backs from patients • Improves patient satisfaction • Reduces provider burn out • Improves staff engagement § Right care, Right location, Right team member, Right price • ER, Urgent care, Primary Care, Fast Care, Video visits 19

Conclusion High Quality care depends on a High Quality Work Force Equation: Health Care leaders + Elected Officials + WI Educational institutions remain committed to preparing the work force of tomorrow to uphold WI reputation for High Quality Health Care! 20