Observation is intended for capturing measurements and subjective point-in-time assessments. As such, it can support conveying any type of information desired. temperature, blood pressure, respiration rate, etc.) associated with a patientĪt its core, Observation allows expressing a name-value pair or structured collection of name-value pairs. The FHIR Vital Signs profile sets minimum expectations for the Observation Resource to record, search and fetch the vital signs (e.g. If implementations use this Resource when expressing the profile-specific concepts as structured data, they SHALL conform to the following profiles: Profile The following core profiles for the Observation resource have been defined as well.
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These boundaries can be clarified by profiling Observation for a particular use case.ġ0.1.1.1 Core Profiles for Observation Trial Use Refer the Boundaries section below and in Condition for general guidance. *The boundaries between clinical findings and disorders remains a challenge in medical ontology.
Core characteristics like pregnancy status, or a death assertion. Social history like tobacco use, family support, or cognitive status. Personal characteristics: such as eye-color. Clinical assessment tools such as APGAR or a Glasgow Coma Score. Device measurements such as EKG data or Pulse Oximetry data. 
Clinical Findings * such as abdominal tenderness. Imaging results like bone density or fetal measurements. Laboratory Data like blood glucose, or an estimated GFR. 
Vital signs such as body weight, blood pressure, and temperature. Uses for the Observation resource include: Note that the DiagnosticReport resource provides a clinical or workflow context for a set of observations and the Observation resource is referenced by DiagnosticReport to represent laboratory, imaging, and other clinical and diagnostic data to form a complete report. Most observations are simple name/value pair assertions with some metadata, but some observations group other observations together logically, or even are multi-component observations. Observations are a central element in healthcare, used to support diagnosis, monitor progress, determine baselines and patterns and even capture demographic characteristics. This resource is an event resource from a FHIR workflow perspective - see Workflow.
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