Other standards progressively being used our FDA, ICD10, and DICOM.

We have achieved interoperability of data through HL7 CCDA as well as XML and JSON for non-HL7-compliant systems. We used SNOMED CT for our clinical data and have also seamlessly based our data structures on ISO EN13606. With a sound team of clinicians, health informaticians, and software developers we are developing an integrated healthcare system that enables data to flow with the patient and achieve interoperability of data across varied system vendors. Detection of undocumented diagnoses to improve clinical documentation and to complement population health effortsĮventus, our flagship product, is a standards-based clinical and patient management system for use in clinics and hospitals of varying size and specialties.Identification of patient cohorts to clinical trial enrolment.Alerting of evidence-based interventions in EHR workflows that reduce mortality, readmissions, and cost.Detection of clinical concepts in unstructured text and conversion to SNOMED CT.The following are use cases for this approach: SNOMED CT is foundational to our terminology infrastructure that enables both real-time concept detection from free text as well as real-time computation against clinical data sources in a way that adds value to an existing body of knowledge. The ability to understand clinical context for patients and populations rests on our understanding of clinical terminology in a variety of health information systems. SNOMED CT is being used to define evaluation criteria for concept-based rule logic and understand potential use cases for the derivation of actionable clinical insights through alerts/reminders, cohort identification, and clinical documentation improvement.

Leveraging SNOMED CT to Drive Actionable Clinical Insights

Example death note documentation