By Trusted
AI-powered strategies for building clinical workforce programs — scheduling models, staffing strategies, and intelligent automation for the modern healthcare organization.
Dedication
To the fearless nurse leaders who are dreaming of —and building—a new flexible nurse workforce for the future.
A wholistic approach to workforce flexibility can cure the nurse staffing crisis — moving beyond symptom management to solving the root cause.
Part 1
What flexible work means to nurses and leaders, the scheduling vs. staffing distinction, and how AI enables workforce flexibility at scale.
Assessing scheduling and staffing structure, policies, dedicated teams, shared governance, and AI readiness for optimal workforce flexibility.
Centralized, decentralized, and hybrid models — advantages, drawbacks, and principles for choosing the right fit.
Building a workforce technology ecosystem — from HRIS to AI-powered scheduling systems — and evaluating AI capabilities.
Part 2
Core principles for operationalizing flexibility: team approach, policies, cross-training, education, goals, and starting small.
Scheduling flexibility, staffing corrections, building a proactive tiered incentive program, and AI-powered dynamic pricing.
VMS technology, AI-powered credentialing, vendor performance scoring, and the vendor management lifecycle.
Part 3
Building an internal travel agency in four steps — from setting the stage to operationalizing the plan — with AI-powered matching, ROI models, and checklists.
Primary and secondary gig nursing positions — AI-powered shift marketplaces, flexibility for nurses, coverage for organizations.
Weekend programs, resource nurses, telehealth models, career pathways, and mentor/preceptor programs for workforce flexibility.
Managing external travel nurse assignments and per diem programs to maximize flexibility and minimize costs.
Part 4
AI in nurse scheduling and staffing — the structural staffing gap, the scheduling lifecycle, dynamic pricing, and intelligent workforce orchestration.
The forecasting process, barriers to effective forecasting, and strategies for data-driven workforce management.
How constraint-based optimization transforms manual schedule balancing — hard and soft constraints, scoring models, KPIs, and the digital twin approach.
Checklists, assessment tools, and reference materials for implementing flexible workforce programs.