Phrase Health ads

During my time in the hospital, I saw countless efforts aimed at reducing length of stay by shaving time off individual steps: ordering, imaging, consults, placement, ... They never worked. These interventions tried to speed up steps in care, some of which probably didn’t need to happen. That’s why I’m energized by Phrase Health’s new product: helping teams uncover unwarranted variation and streamline care at the source. https://lnkd.in/eEiHfk_f

What can actually move the needle in reducing length of stay? Addressing the huge variation in clinical decision-making.

What actually moves the needle in reducing hospital length of stay?

We've been solving hospital length of stay all wrong. Blanket consult restrictions? Clinicians hate them and barely move the needle on LOS. More imaging capacity? Ironically increases both scans AND length of stay. The real culprit isn't workflow—it's clinical decision-making variation as our colleague and chief product officer David Do, MD highlights in his new article on Becker's Healthcare. When one hospitalist orders MRIs at twice the rate of their colleague treating identical patients, that's not about acuity. It's about habits, training gaps, and risk tolerance. That's a teachable moment, not a cost-cutting mandate. The breakthrough: Show clinicians their variation compared to peers. Suddenly the conversation shifts from "rationing" to "standardization.” This approach gives executives and clinicians a shared language. It aligns quality with efficiency instead of pitting them against each other. The best part? Patient care improves when we eliminate unwarranted variation. Read the full article here: https://lnkd.in/eEY-fBaX #HealthcareLeadership #HospitalOperations #ClinicalVariation #LOS

You have BI tools, a data warehouse, a team of dedicated analysts, and yet… a simple clinical question can take weeks to get answered (or gets answered three different ways). Our upcoming session with Children's Healthcare of Atlanta (CHOA) will discuss how this an operating model problem, not a tooling or personnel problem. Most orgs never define which questions belong in self-service, which need an analyst, and which should become a governed, reusable measure instead of a fresh pull every time. And we’ll look at how AI can compound these issues, since it's now so easy to generate an analysis that looks authoritative, but isn't. Free to register! The conversation will be led by Evan Orenstein & Tal Senior from CHOA, and Marc Tobias, MD, FAMIA. More info here: https://lnkd.in/g45BghJg

Clinical guidelines update constantly, and manual EHR audits can't keep pace. AI-powered tools flag outdated, missing, or conflicting content automatically so informatics teams spend less time on reviews and more time on care.