Our US Health Care System (HCS) has evolved from simple to complex and needs reform. Thus far, all legislative initiatives have failed to result in establishing a friendly, cost-effective, quality healthcare system. The question becomes, can Complexity Science (CS) and computational analytic platform modeling be used to help create better Health Care Policies (HCP) and reform our all too complex HCS? Modeling has been used in many diverse disciplines but has yet to be utilized in preemptive evaluation of major US legislative HCPs. Review of US Health Care Policy History (HCPH) viewed in the context of a Complex Adaptive System(CAS) reveals how, unanticipated historical events, politics, social, and personal leadership have tangentially shaped our US HCPs. Future construction of HCPs with the help of CS, and preemptive computational modeling (CM) techniques, will hopefully yield stronger conclusions in legislative HCP construction and advance our US HCS into one with dynamic resilience.