System for converting native patient data from disparate systems into unified semantic patient record repository supporting clinical analytics

摘要

Clinical Information Systems (CIS) may combine evidence-based and best-practice diagnosis and treatment of care delivery into an electronic workflow with clinical decision support (CDS) tools (e.g. order sets, structure documentation, rule-based alerts, compliance and performance reports) to improve care delivery. Configurating CIS's has required manually intensive processes and clinical experts to determine mapping of clinical concepts in the CDS to the CIS. Changes in medicine change configuration requirements causing changes to data structure, semantics, and even historical information. Traditional mapping is non-explicit and hard coded with a high effort cost for reconfiguration, interoperability, and quality assessment. Using Semantic Context Maps, simultaneously mapping naturally stated, native encoding, and semantic encoding in a clinical context, provides simplification of configuration of CDS and increases value of clinical information as medicine evolves. The invention constructs semantically encoded clinical data using semantic context mapping to enable analytics using semantic processing instead of traditional query analytics.