School of Medicine, Department of Orthopaedic Surgery, Office of Advanced Practice, University of California Irvine (UCI Health), 101 The City Dr S, Orange, CA, 92868, USA.
Decision Support Services, Dean's Office, School of Medicine, University of California Irvine (UCI Health), 101 The City Dr S, Orange, CA, 92868, USA.
BMC Health Serv Res. 2022 Jul 8;22(1):882. doi: 10.1186/s12913-022-08216-7.
The evolving COVID-19 pandemic has unevenly affected academic medical centers (AMCs), which are experiencing resource-constraints and liquidity challenges while at the same time facing high pressures to improve patient access and clinical outcomes. Technological advancements in the field of data analytics can enable AMCs to achieve operational efficiencies and improve bottom-line expectations. While there are vetted analytical tools available to track physician productivity, there is a significant paucity of analytical instruments described in the literature to adequately track clinical and financial productivity of physician assistants (PAs) and nurse practitioners (NPs) employed at AMCs. Moreover, there is no general guidance on the development of a dashboard to track PA/NP clinical and financial productivity at the individual, department, or enterprise level. At our institution, there was insufficient tracking of PA/NP productivity across many clinical areas within the enterprise. Thus, the aim of the project is to leverage our institution's existing visualization tools coupled with the right analytics to track PA/NP productivity trends using a dashboard report.MethodsWe created an intuitive and customizable highly visual clinical/financial analytical dashboard to track productivity of PAs/NPs employed at our AMC.ResultsThe APP financial and clinical dashboard is organized into two main components. The volume-based key performance indicators (KPIs) included work relative value units (wRVUs), gross charges, collections (payments), and payer-mix. The session utilization (KPIs) included (e.g., new versus return patient ratios, encounter type, visit volume, and visits per session by provider). After successful piloting, the dashboard was deployed across multiple specialty areas and results showed improved data transparency and reliable tracking of PAs/NPs productivity across the enterprise. The dashboard analytics were also helpful in assessing PA/NP recruitment requests, independent practice sessions, and performance expectations.ConclusionTo our knowledge, this is the first paper to highlight steps AMCs can take in developing, validating, and deploying a financial/clinical dashboard specific to PAs/NPs. However, empirical research is needed to assess the impact of qualitative and quantitative dashboards on provider engagement, revenue, and quality of care.
不断演变的 COVID-19 大流行对学术医疗中心(AMC)造成了不均衡的影响,这些中心正在经历资源限制和流动性挑战,同时面临着提高患者就诊机会和临床效果的巨大压力。数据分析领域的技术进步可以使 AMC 实现运营效率并提高底线预期。虽然有经过验证的分析工具可用于跟踪医生的生产力,但文献中描述的足以充分跟踪在 AMC 工作的医师助理(PA)和执业护士(NP)的临床和财务生产力的分析工具却严重缺乏。此外,在开发仪表板以跟踪 PA/NP 在个人、部门或企业层面的临床和财务生产力方面,没有一般指导。在我们的机构中,对许多企业内的 PA/NP 生产力的跟踪不足。因此,该项目的目的是利用我们机构现有的可视化工具并结合正确的分析方法,使用仪表板报告来跟踪 PA/NP 的生产力趋势。
方法
我们创建了一个直观且可定制的高度可视化的临床/财务分析仪表板,以跟踪我们 AMC 中雇用的 PA/NP 的生产力。
结果
该 APP 财务和临床仪表板分为两个主要部分。基于量的关键绩效指标(KPI)包括工作相对价值单位(wRVU)、总费用、收款(付款)和支付者组合。会话利用率(KPI)包括(例如,新患者与复诊患者的比例、就诊类型、就诊量以及每位提供者的就诊次数)。成功试点后,该仪表板已部署在多个专业领域,结果显示数据透明度提高,企业内 PA/NP 生产力的可靠跟踪。仪表板分析还有助于评估 PA/NP 的招聘请求、独立执业会议以及绩效预期。
结论
据我们所知,这是第一份强调 AMC 可以采取哪些步骤来开发、验证和部署特定于 PA/NP 的财务/临床仪表板的论文。然而,需要进行实证研究来评估定性和定量仪表板对提供者参与度、收入和护理质量的影响。