Learn how to read a run chart...and get a better understanding of whether your quality measure results indicate actual improvement or merely random variation.
While health care organizations are actively responding to COVID-19, Comagine Health is preparing to offer advanced analytics to evaluate the pandemic’s broader impact. Learn how we can provide key insights to health care organizations that will be significantly affected by its long-term consequences.
Comagine Health’s analytic team has compiled COVID-19 heat maps displaying the number of Medicare fee-for-service beneficiaries with three or more chronic conditions and total bed counts per county. The data includes two analyses using public sources, Medicare fee-for-service (FFS) and Oregon Data Collaborative data (All Payer All Claims Data), covering 80% of all Oregonians. This information should be used as a conversation starter in communities at most risk and can be used to help communities understand the location of populations at risk of severe illness with SARS-CoV-2 infection, and where those concentrations of at-risk beneficiaries are in relation to available hospital beds.
White paper that describes the foundational aspects of data reporting, lays out a step-by-step process for identifying errors that contribute to report inaccuracy and provides tools to help with the process of validating your own clinical quality reports.
How do you know changes you are making to processes or systems are actually leading to improvement? Use our run chart tool to track and display performance over time. Download the Excel file or contact us for a version compatible with Section 508 accessibility standards.