This Learning Showcase outlines the core features of a Knowledge Management (KM) platform to support the engineering of sharable data and knowledge assets. We will demonstrate how data and knowledge artifacts can be modeled, linked, and validated. Examples will include detailed clinical models, FHIR profiles, value sets, and decision support rules.
Sharable and interoperable artifacts are essential to support care delivery and research. KM processes ensure that data and knowledge artifacts are consistently defined and systematically maintained. Proactively managing sharable artifacts creates a solid foundation for clinical and analytical systems to help improve patient safety and quality of care, while also promoting interoperability and innovation. An integrated platform improves the efficiency and sustainability of critical KM processes, enabling artifacts to be linked and refined without compromising their underlying structural and semantic integrity. Without an efficient tool to adequately manage the resulting interdependencies, changes can easily cause unexpected errors and malfunctions, ultimately compromising reliability and scalability. Despite the increasing sophistication of clinical and analytical systems, developers and consumers of data and knowledge artifacts frequently overlook the critical importance of KM processes and tools.