Research program
Continuous Care Orchestration
Care-management software built as a system of record with alerting attached cannot be configured into a judgment system. The binding constraint has moved from data capture to judgment at scale: deciding hour by hour, across thousands of patients, which small signals deserve a person's attention today. This program studies the architecture, safety model, economics and adoption path of systems that reason continuously about care work while it is happening, covering graduated machine autonomy, evidence and provenance as first-class artifacts, simulation as an operating tool, program-fit reasoning across CCM, APCM, PCM, RPM, RTM, TCM and AWV, and migration away from incumbent platforms.
What architecture, safety model and economics let a system decide, hour by hour across thousands of patients, which small signals deserve a person's attention today?
Where this work now sits
Claim: observation
Zero Dashboard Experiences now sits under Engineering Care Delivery. This program's page remains in place for the original Continuous Care Orchestration record and its reference implementation.