Green is Good, Red is Bad: Tailoring Data for C-Suite Consumption
In this presentation, we delve into a critical examination of high-level scorecards and their potential impact on equity. In organizations, these scorecards tend to use a simplified color-coded system to provide a quick overview of metrics. Using an application from healthcare to illustrate the challenges with this approach, we will look at how this approach may obscure significant disparities and perpetuate inequities.
We will explore how aggregated data can mask the variations in healthcare experiences among different demographic groups, leading to a misleading representation of overall performance. This can result in underserved communities & patients with different needs being overlooked, as their specific challenges, needs, and feedback are hidden within the average.
Key topics include:
The methodology of scorecard creation and the implications of averaging data.
Healthcare case studies highlighting instances where averaging has concealed critical health disparities.
Strategies for improving scorecard accuracy to better reflect health equity.
Policy recommendations for ensuring that performance metrics do not inadvertently create healthcare inequalities.
Join us as we unpack the nuances of performance measurement and advocate for more equitable approaches to evaluating data reporting, action planning, and resource allocation.