Ontology as economic infrastructure

The argument of this section

Shared meaning is not free. Someone authors the concepts, maintains them as knowledge changes, maps them to the systems that need them, and checks that the mappings are still right. That work is infrastructure in the plain sense: used by everyone, noticed by no one while it works, and paid for by a few on behalf of the rest. This section asks the questions an investor should ask. Where does the absence of shared meaning actually consume resources? Who has funded terminologies and ontologies, and on what reasoning? What does stewardship cost year after year? How would a department, a company, or a funder tell an attributable saving from a coincidence?

The section is deliberately cautious. An earlier conversation in this project circulated an approximate figure for organizational effort lost to data quality problems; it lacked adequate support and is not used here. Familiar technology company names were raised as possible investment cases; they are research leads, not evidence, until a documented case is found. No verified return-on-investment statistic is asserted in this section, and none will be until a sourced case has been checked.

How to read it

The two essays in this section are briefs awaiting sourced cases. Each states its central question, the argument expected, the evidence needed, and the review required, but neither manuscript has been written. The cost of disconnected knowledge commissions a synthetic reconciliation workflow in which a department, a referring practice, a registry, and a payer each hold a version of the same facts, and asks the writer to count staff time, errors, and delays at every step where a person reconciles names, codes, units, or dates by hand, then to separate attributable savings from correlation and propose a baseline measurement. Who funds the infrastructure of meaning commissions a comparison of government, foundation, health system, radiopharmaceutical, startup, insurer, and patient-advocacy perspectives, with named investment cases verified by amount, date, recipient, and purpose.

Two monographs supply the concepts the briefs depend on. Semantic interoperability explains what it means for two systems to exchange meaning and not only bytes, and why that property is the one an economic case must point to. Provenance and evidence explains why a claim about cost or benefit needs a traceable origin before it can be trusted, which applies as much to this section's own future figures as to any clinical statement.

The lexicon entries Semantic interoperability, Data quality, Provenance, and Evidence give short definitions and link outward.

Why it matters here

A nuclear medicine physician feels the cost of disconnected knowledge as time: the dose record re-entered, the outside report that cannot be reconciled with the local one, the prior authorization that fails on a code mismatch. A scientist feels it as data that cannot be pooled. A radiochemist feels it as a substance that exists under three names in three systems. Those costs are real and measurable, and this section insists on the measurement. Readers looking for a headline number will not find one. They will find the questions a credible number would have to answer.