Research

Measuring how medical claims change as evidence moves

NextConsensus develops public benchmarks, datasets, and methods for connecting evidence events to changes in the support state of medical claims and other medical positions.

Current research questions

Can evidence be mapped reliably to the exact component of a medical claim it affects?

in progress

Can meaningful transition pressure be distinguished from temporary noise?

planned

Can stable claims remain quiet?

in progress

How early can a material change be identified before formal wording or authority changes?

planned

Which signals generalize, and which remain institution-specific?

planned

Three distinct clocks

Evidence changes, recognition changes, and reliance changes happen on different timelines. NC tracks all three as distinct events.

Evidence clock

Trial published

Subgroup analysis

Safety signal

Recognition clock

Guideline draft

Committee review

Formal update

Reliance clock

Policy language set

Re-review triggered

Disposition recorded

Research outputs

Benchmark cases with defined evaluation criteria
Transition timelines with temporal attribution
Methods notes on claim-component matching
Model evaluations against expert labels
Public datasets where licensing permits
Reproducible tools via Refract

Boundary

Public transitions are not substitutes for private institutional dispositions. Public research validates the evidence-transition engine; enterprise pilots validate workflow value.

NC's claim-matching and temporal methods are developed and evaluated through public transition research before being applied to customer portfolios.