This document reviews current approaches, tools and techniques for performing data analytics using SNOMED CT and shares developing practice in this area.
SNOMED CT is a clinically validated, semantically rich, controlled terminology designed to enable effective representation of clinical information. SNOMED CT is used within electronic health records to support data capture, retrieval, and subsequent reuse for a wide range of purposes. Analytics of this data may be used to describe, predict or improve clinical and business performance, and to recommend action or guide decision making.
SNOMED CT helps to overcome some of the challenges that exist when performing analytics over clinical data, such as the reliability of patient data, terminology/information model boundary issues, concept definition issues and versioning. Using SNOMED CT to support analytics services can help enhance the care of individual patients and populations, and provide cost-effective delivery of care.
Main sections:
· Introduction
· Analytics overview
· SNOMED CT overview
· Preparing data for analytics
· SNOMED CT analytic techniques
· Task-oriented analytics
· Data architectures
· Database queries
· User interface design
· Challenges
· Appendix: Analytics case studies
SNOMED CT is a clinically validated, semantically rich, controlled terminology designed to enable effective representation of clinical information. SNOMED CT is used within electronic health records to support data capture, retrieval, and subsequent reuse for a wide range of purposes. Analytics of this data may be used to describe, predict or improve clinical and business performance, and to recommend action or guide decision making.
SNOMED CT helps to overcome some of the challenges that exist when performing analytics over clinical data, such as the reliability of patient data, terminology/information model boundary issues, concept definition issues and versioning. Using SNOMED CT to support analytics services can help enhance the care of individual patients and populations, and provide cost-effective delivery of care.
Main sections:
· Introduction
· Analytics overview
· SNOMED CT overview
· Preparing data for analytics
· SNOMED CT analytic techniques
· Task-oriented analytics
· Data architectures
· Database queries
· User interface design
· Challenges
· Appendix: Analytics case studies
Access Data Analytics with SNOMED CT
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