AI-facilitated constraint resolution for healthcare systems
How AI can dissolve complex multi-stakeholder conflicts by surfacing hidden assumptions, not by replacing human judgment.
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How AI can dissolve complex multi-stakeholder conflicts by surfacing hidden assumptions, not by replacing human judgment.
A concept for addressing the complex discharge problem at its source—by capturing discharge-relevant information during routine primary care, before any hospitalization occurs.
Six chronic healthcare frustrations — long wait times, expensive insurance, claim denials, hiring difficulties, tax levies, and burnout — traced to a single root cause using Theory of Constraints analysis.
Healthcare protects staff from radiation but expects unlimited psychological trauma absorption. This four-part series maps the structural conflict behind provider burnout using Theory of Constraints and proposes systemic solutions beyond resilience training.
Hospital discharge planning fails because it treats a complex logistics problem as a last-minute task. This three-part series introduces the Post-Acute Care Directive — moving planning from the hospital bed to the primary care clinic.
Discover how voice agents transform healthcare's most painful conversations by removing emotional friction from insurance claims, patient billing, and administrative battles that burn out staff and traumatize patients.
Why an outsider's perspective is a healthcare system architect's greatest asset — how decades in embedded systems engineering, Theory of Constraints, and AI provide a different lens on hospital operational challenges.