Madeira Pilot Implementation Guide
0.1.0 - R1
Madeira Pilot Implementation Guide - Local Development build (v0.1.0). See the Directory of published versions
This page provides a list of the FHIR artifacts defined as part of this implementation guide.
These define constraints on FHIR resources for systems conforming to this implementation guide.
Angle Force Observation |
The profile defines how to represent a pair of angle and force values reflecting a measure of force taken at a given angle. |
Daily Posture Diagnostic Report |
The profile defines how to represent posture data of a patient during a day (tipically, a 24 hour period). The reports relies on two observation resources containing the relevant data for good and bad posture. |
Lumbar Force Test Diagnostic Report |
The profile defines how to represent the data for a force test realized by a patient. It will include the data obtained from the force test and the evaluation of the recommended weight for further training. |
Lumbar Training Diagnostic Report |
The profile defines how to represent the data for a training realized by a patient. It will include the data obtained from the training and an evaluation in the form of a score. |
Normal Posture Observation |
The profile defines how to represent the cumulative time spent with a normal posture, in seconds, over a period of time, aggregated by hour. |
Poor Posture Observation |
The profile defines how to represent the cumulative time spent with a poor posture, in seconds, over a period of time, aggregated by hour. |
Raw Sensor Data Observation |
The profile defines how to represent the raw angle input from a training session using sampled data. |
Recommended Weight Observation |
The profile defines how to represent a Recommended Weight Observation the training sessions. |
Repetitions Observation |
The profile defines how to represent the number of repetitions in a training session. |
Score Observation |
The profile defines how to represent a score evaluation of a training session. The score evaluation has an accuracy measure over the correct exercise, an estimate of calories burned and a step count. |
These are example instances that show what data produced and consumed by systems conforming with this implementation guide might look like.
BackPainPrevention |
Back pain prevention questionnaire |
PostSessionQuestionnaire |
Post-session treatment questionnaire |
PostTrainingQuestionnaire | |
PreSessionQuestionnaire |
Pre-session treatment questionnaire |
PreTrainingQuestionnaire |