ALarms, Outcomes Telemetry with Timing (ALOTT): a Bedside-EMR Database

ALOTT is a pilot project that gathered telemetry data from 270 beds and over 15,000 hospital admissions from September 2018 through November 2020 at The James Cancer Hospital and Ross Heart Hospital. ALOTT contains telemetry waveforms, such as electrocardiogram and blood oxygen, at 60-240Hz and temperature, pulse, and perfusion measurements at two-second intervals linked to Electronic Medical Record (EMR) data. These EMR data include patient admissions, demographics, diagnosis, history, orders, labs, medications, allergies, and nurse flowsheet chart events, including vitals, risk scores, ventilator use, and emergency response team (ERT) events. This dataset was constructed to facilitate the creation of algorithms to predict ERT events.ALOTT是一项试点项目，收集了2018年9月至2020年11月期间，詹姆斯癌症医院与罗斯心脏医院内270张病床及超1.5万次住院病例的遥测数据。ALOTT数据集包含采样率为60-240Hz的遥测波形数据（如心电图、血氧波形），以及每2秒采集一次的体温、脉搏与灌注量测量数据，且所有上述数据均与电子病历（Electronic Medical Record, EMR）数据相关联。该电子病历数据涵盖患者入院信息、人口统计学资料、诊断结果、病史、医嘱、检验报告、用药记录、过敏史，以及护理流程表记录事件，包括生命体征、风险评分、呼吸机使用情况与应急响应团队（Emergency Response Team, ERT）事件。本数据集的构建旨在助力预测ERT事件的算法开发。

搜集汇总

背景与挑战

背景概述

ALOTT数据集是一个包含床边监护仪遥测波形和电子病历(EMR)数据的资源，旨在帮助研究人员开发预测患者紧急事件的算法。数据集涵盖了270个床位和超过15,000次住院的丰富信息，包括高频率的生命体征数据和详细的EMR记录，所有数据均经过严格的去标识化处理以确保隐私安全。