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每周医院劳动力数据:一项数据可视化实践。

Weekly Hospital Workforce Data: A Data Visualisation Exercise.

作者信息

Xie Yang, Khanna Sankalp, Good Norm, Boyle Justin

机构信息

The CSIRO Australian e-Health Research Centre, Brisbane, Australia.

出版信息

Stud Health Technol Inform. 2017;239:153-159.

Abstract

Quantifying the health workforce in terms of overall staff numbers and their ratio to patients under their care can strengthen analytical studies designed to inform policy regarding how hospital services are delivered. Information about staffing is traditionally obtained via location-specific audits or self-reported information gleaned from surveys which hold potential biases around time-dependence and recall. In contrast, work presented in this paper describes the derivation of useful workforce metrics from routine hospital financial and clinical information systems that overcome these biases. Staffing data is aggregated, visualised and linked to patient demand to gain insight into spatial and temporal variations in hospital staffing and workload. Overall, hospital staff resourcing varies noticeably across a week, with staff numbers and staff-to-patient ratios dropping to low levels at night and across a weekend. Exploration of staff-to-staff ratios allows further insight into staff dynamics across a week and the variation of supervision level.

摘要

从总体员工数量及其与所护理患者的比例方面对卫生人力进行量化,可加强旨在为有关医院服务提供方式的政策提供信息的分析研究。传统上,人员配置信息是通过特定地点的审计或从调查中收集的自我报告信息获得的,这些信息在时间依赖性和回忆方面存在潜在偏差。相比之下,本文所展示的工作描述了如何从常规医院财务和临床信息系统中得出有用的人力指标,从而克服这些偏差。人员配置数据被汇总、可视化并与患者需求相联系,以深入了解医院人员配置和工作量的时空变化。总体而言,医院的人员资源在一周内变化显著,员工数量和医患比例在夜间和周末降至较低水平。对员工与员工比例的探究有助于进一步了解一周内的员工动态以及监督水平的变化。

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