Madeira Pilot Implementation Guide
0.1.0 - R1

Madeira Pilot Implementation Guide - Local Development build (v0.1.0). See the Directory of published versions

Artifacts Summary

This page provides a list of the FHIR artifacts defined as part of this implementation guide.

Structures: Resource Profiles

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.

Example: Example Instances

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