/medtimeline

The MedTimeline library aims to provide a standardised process for pre-processing and generating patient journey timelines for the cardiology EHR dataset. Developed by Louise Rigny (Great Ormond Street Hospital for Children)

Primary LanguageJupyter Notebook

medtimeline

The MedTimeline library aims to provide a standardised process for pre-processing and generating patient journey timelines for the cardiology EHR dataset.

The following provides an overview of how to use the library to:

Configure the library based on your own data paths and computer set-up
Load patient journeys based on individual RDVs
Load pre-processed RDVs, without generating timelines
Load combined patient journeys based on procedure RDVs
Load pre-processed, individual procedure-related RDVs, without generating timelines
Load complete, full patient journeys, for all admissions, based on all RDVs.
Timelines are a useful step in large language modelling and can be used for various research purposes.

Developed by Louise Rigny