What is the expected outcome of maps from terminologies to classifications?

The expected outcome of mapping terminologies to classifications is to facilitate a "enter once, use many" functionality. This means that when data is recorded in a healthcare setting, it can be efficiently utilized across various systems and applications without the need for re-entry or duplication of effort. Such mapping enables different information systems to communicate and share data effectively, which is essential in promoting interoperability in health care.

By achieving this functionality, the entire healthcare system benefits from improved data accuracy, reduced chances of error, and enhanced workflow efficiency. It allows clinical data gathered in one context to be used in other relevant settings, making data more valuable for multiple purposes, including clinical care, billing, and research.

This approach contrasts with options that might imply decreased interoperability or increased manual processes. The ultimate goal of effective mapping is to streamline data usage, rather than complicate it or confine the application of clinical data. Thus, the emphasis is on maximizing the utility of data across diverse healthcare settings and applications.