Data standards provide healthcare providers with a set of terms to which collected health data can be assigned, allowing for the data to be shared throughout an integrated health information infrastructure
- Collect and code health data according to a standard to support the flow of data throughout the continuum of care
- Crossmap codes from one standard to others to ensure semantic interoperability between information systems
- Analyze the coded data to extract information, such as prevalence of a specific disease or how often an intervention is done
- Contribute to the development of clinical decision support systems by applying natural language processing or machine learning principles
- Examples of data standards: Canadian Health Outcomes for Better Information and Care (C-HOBIC), International Classification for Nursing Practice (ICNP), interRAI Logical Observation Identifiers Names and Codes (LOINC), SNOMED CT