Observational data
Observational data administration is structured around 3 key Observation profiles that are generated by a Device and have a Patient subject.
Profile | Description |
---|---|
Device Instance | Represents a specific instance of a Device, linking it to its corresponding Device Model with details such as serial number and configuration. |
Observation BG | A clinical observation capturing a patient’s blood glucose level. This profile serves as a parent observation for related profiles, such as carbohydrate intake or Estimated Weight Mean (EWM), which provide additional context. Blood glucose measurements can be recorded by the patient or directly by a device. |
Observation CGM | Defines observations specific to continuous glucose monitoring (CGM), capturing glucose levels over time to support ongoing clinical and patient monitoring. |
Patient | Demographic information of a Patient together with the diabetes type as contained Condition resource. |
Data model overview
Data Flow for write action
The data flow for administering observational data follows these steps:
- Device administration flow (if not already available)
- Create
RdcPatient
instance (if not already available) - Create
RdcObservationAdditional
instance(s) - Create
RdcObservationBG
and/orRdcObservationCGM
instances, referencing the relevantRdcDeviceInstance
,RdcPatient
andRdcObservationAdditional
(using the.hasMember
reference)