Synthetic Patient Appointment Dataset

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.本数据集为合成数据集，涵盖英国东北部某虚构医疗服务的患者预约、转诊及就医路径相关数据。代码可调整以适配大不列颠本岛任意区域，北爱尔兰（Northern Ireland，NI）及各离岛亦可集成，但由于邮政编码、全科医生（General Practitioner，GP）与阻塞性睡眠呼吸暂停（Obstructive Sleep Apnoea，OSA）公开数据的结构存在差异，需对数据输入处理程序进行适配调整。本数据集的患者行为模式（先前往附近全科诊所就诊，再转诊至专科门诊）、预约规则（专科门诊预约需在全科预约发起转诊后的7天至6周内完成）以及医疗设施配置（1家承担核心业务的大型设施，辅以若干小型配套设施），均旨在复刻Track & Know项目试点2阶段所使用的真实数据逻辑。预约人群的生成基于英国皇家邮政（Royal Mail）提供的真实邮政编码数据，医疗设施参数参照英国肺脏基金会（British Lung Foundations）针对阻塞性睡眠呼吸暂停的研究数据设定，全科医生信息则取自英国国民保健署（National Health Service, NHS）的公开数据集。