Fondazione DARE
Published June 20, 2024 | Version v2
Dataset Open

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

Creators

  • 1. ROR icon University of Bologna
  • 2. ROR icon Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro

Description

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:

How to run

  1. First, unzip the dataset directory containing the NDJSON files.
  2. Open a terminal or command prompt in the root directory of this repository.
  3. Run the command docker-compose up in the terminal to start the Docker containers.
  4. Once the containers are up and running, open another terminal window in the root directory of this repository.
  5. Run the command python main.py in the terminal to start the data import process.
  6. After the import process is complete, you can access the HAPI FHIR server by opening a web browser and navigating to http://localhost:8082.

 

Files

MOTU_FHIRed.zip

Files (1.2 MB)

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md5:40cd22e760ce5b6b8d059321f2c795f9
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Additional details

Related works

Is derived from
Dataset: 10.5281/zenodo.10683153 (DOI)

References

  • Arcobelli Valerio Antonio et al., "MOTU on FHIR: A preliminary strategy to enable interoperability for retrospective dataset standardization," 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, Malta, 2023, pp. 81-82, doi: https://doi.org/10.1109/IEEECONF58974.2023.10404816.
  • Pierpaolo Palumbo, Pericle Randi, Serena Moscato, Angelo Davalli, Lorenzo Chiari, Degree of Safety Against Falls Provided by 4 Different Prosthetic Knee Types in People With Transfemoral Amputation: A Retrospective Observational Study, Physical Therapy, Volume 102, Issue 4, April 2022, pzab310, https://doi.org/10.1093/ptj/pzab310