Published December 14, 2020 | Version 2

Synthetic Patient Appointment Dataset

Authors/Creators

  • 1. Inlecom Group

Description

A synthetic dataset of patient appointments, referrals, and journeys to a fictional service in the North East of England. The code can be adjusted to incorporate any area on mainland Great Britain. NI or the islands can be integrated too, however the structure of postcode, GP and OSA public data is different, and data input handlers will need to be adjusted.

The behaviour of the patients (visiting their nearby GP followed by attending a

specialist clinic), appointments (clinic appointments within 7day-6weeks of the referral (gp appointment)), and facilities (one major facility taking the load, along with minor facilities) is meant to mirror the real data used under Pilot 2 of the Track & Know Project.

Real postcodes, from Royal Mail, are used to generate the appointment population, real facilities are used based on the British Lung Foundations study of Obstructive Sleep Apnoea, and real GP's are used based on public data from the NHS.

Notes

All data is randomly generated and changes with every run of the generation code. Any resemblance to actual events or locales or persons, living or dead, is entirely coincidental. This is synthetic artificial data meant for research and tool validation purposes. It cannot and should not be used to make business decisions.

Files

appointmentlog.csv

Files (2.8 MB)

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Additional details

Funding

European Commission
Track and Know - Big Data for Mobility Tracking Knowledge Extraction in Urban Areas 780754