It’s Okay to Care About Rankings: How Predictive Diagnostic Discovery Improves Patient Outcomes Along With Reputation
By David Clain, Chief Product and Strategy Officer
Hospital rankings from U.S. News & World Report and Vizient influence where patients seek care, where physicians choose to work, and how donors support health systems. But does improving a hospital’s ranking through better diagnostic capture actually translate into better patient outcomes?
National Medicare fee-for-service data suggest it does.
An analysis by Health Data Analytics Institute (HDAI) found that hospitals in the top 20% for diagnostic capture had approximately 20% lower mortality than their risk-matched digital twins. Importantly, 63% of that difference reflected lower observed mortality, not higher expected mortality.
In this white paper, David Clain explores how present-on-admission (POA) coding, diagnostic capture, and hospital quality rankings connect to patient outcomes. He walks through an opportunity assessment showing how Predictive Diagnostic Discovery and AI-driven predictive analytics can help hospitals benchmark case mix index (CMI) against peers, identify diagnostic capture gaps by service line and DRG, and flag likely conditions early enough for clinical teams to investigate and potentially change patient management.
Can hospitals improve their rankings and patient outcomes at the same time? The evidence makes a compelling case.
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