FHIRed MOTU data. FHIR-standardized data collection on the clinical rehabilitation pathway of trans-femoral amputation patients.

Dataset presented in the article "MOTU on FHIR: A 10-year data collection on the clinical rehabilitation pathway of 1006 trans-femoral amputees".

Data has been anonymised prior the publication. The data has been standardized in Fast Healthcare Interoperability Resources (FHIR) data standard. 

This work has been conducted within the framework of the MOTU++ project (PR19-PAI-P2).

This research was co-funded by the Complementary National Plan PNC-I.1 "Research initiatives for innovative technologies and pathways in the health and welfare sector” D.D. 931 of 06/06/2022, DARE - DigitAl lifelong pRevEntion initiative, code PNC0000002, CUP: (B53C22006450001) and by the Italian National Institute for Insurance against Accidents at Work (INAIL) within the MOTU++ project (PR19-PAI-P2).

Authors express their gratitude to all the AlmaHealthDB Team.

Instruction MOTU-to-FHIR Importer

The repository includes a Docker Compose setup for importing the MOTU dataset into a HAPI FHIR server, formatted as NDJSON following the HL7 FHIR R4 standards.

Prerequisites

Before you begin, ensure you have the following installed:

Docker

Docker Compose

Python >=3.7 

Requests Python Library

How to run

First, unzip the dataset directory containing the NDJSON files.

Open a terminal or command prompt in the root directory of this repository.

Run the command docker-compose up in the terminal to start the Docker containers.

Once the containers are up and running, open another terminal window in the root directory of this repository.

Run the command python main.py in the terminal to start the data import process.

After the import process is complete, you can access the HAPI FHIR server by opening a web browser and navigating to http://localhost:8082.