Monash Genetics, Monash Health, Melbourne, VIC, Australia.
Department of Paediatrics, Monash University, Melbourne, VIC, Australia.
Genet Med. 2020 Jan;22(1):210-218. doi: 10.1038/s41436-019-0602-2. Epub 2019 Jul 11.
Clinical genetics is an evolving specialty impacted by the availability of increasingly sophisticated investigational technologies. Methods for monitoring the changes in workload and workflow are necessary to ensure adequate service resourcing.
A literature search of known workload and workflow studies was completed, identifying metrics of value. A framework of metrics to allow consistent capture in clinical genetics practice was developed. This framework was then applied to local general genetics service data to evaluate recent changes in service delivery.
Literature regarding service delivery metrics in clinical genetics services is limited and inconsistent in application. The metric framework generated is a useful tool for consistent and ongoing evaluation of general genetics services. Through application of the framework, new service delivery trends and significant changes in workload were identified.
Studies of clinical genetics service delivery suffer from the use of inconsistent metrics. This framework will allow for monitoring of changes to service delivery, caseload volume, caseload complexity, and workforce over time. Local data presented demonstrate the significant effect that implementing clinical genomic sequencing has had on clinical service delivery. Applying this framework produces a comprehensive service characterization, enabling funding bodies to justify resourcing that addresses the growing demand of clinical genetics.
临床遗传学是一个不断发展的专业领域,受到日益复杂的研究技术的影响。为了确保有足够的服务资源,需要有监测工作量和工作流程变化的方法。
完成了对已知工作量和工作流程研究的文献检索,确定了有价值的指标。制定了一个度量框架,以允许在临床遗传学实践中进行一致的捕获。然后将该框架应用于当地一般遗传学服务数据,以评估服务提供的最新变化。
关于临床遗传学服务交付的服务交付指标的文献有限,且在应用上不一致。生成的度量框架是对一般遗传学服务进行一致和持续评估的有用工具。通过应用该框架,确定了新的服务提供趋势和工作量的重大变化。
临床遗传学服务交付的研究受到使用不一致的指标的影响。该框架将允许随着时间的推移监测服务交付、病例量、病例量复杂性和劳动力的变化。提出的本地数据表明,实施临床基因组测序对临床服务提供产生了重大影响。应用该框架可以全面描述服务,使资金机构能够证明资源配置是合理的,以满足临床遗传学不断增长的需求。