Specific Deliverables, Not Vague Promises
Most analytics implementations fail not because of technology, but because the implementation team doesn't understand what a quality director actually needs to see on a Monday morning. We build around clinical workflow — not around the software's feature list. The deliverable isn't a Vizier license; it's a working analytics program your team uses every day.
The Algorithm's consultants have managed analytics functions inside health systems, built quality reporting programs for multi-site physician groups, and navigated the specific challenge of getting clinical staff to adopt data tools. We understand why the dashboard graveyard exists and how to prevent it — because we've cleaned them up.
Your engagement begins with a current-state assessment that identifies exactly where your analytics program breaks down — whether that's data access, tool complexity, staff adoption, or measure configuration. From there, everything we build is calibrated to what your team actually needs to answer, not what looks impressive in a demo.
We Don't Just Hand You Software
The typical software vendor onboarding looks like this: a 90-minute Zoom walkthrough, a login, and a PDF user guide. Six months later, two people use the tool and the rest of the organization never logged in after week two.
Our engagement model is different because we configure Vizier around your specific clinical questions. Your quality director doesn't need a generic readmission dashboard — they need to see readmission rates for DRG 470 by attending physician, filtered to Medicare patients, compared to your state benchmark. That's what we build.
The Algorithm's team has direct experience with the clinical and administrative workflows that analytics tools need to support. When we configure a MIPS dashboard, we understand why your inverse measure performance looks counterintuitive. When we set up a readmission alert, we know which diagnosis codes actually predict 30-day return visits.
Discovery, Configuration, and Sustained Adoption
The Problems We're Hired to Solve
What to Expect and When
Most healthcare analytics implementations take 6–18 months and still don't achieve meaningful adoption. Our engagement completes the core configuration in 2–4 weeks, with your team running their own queries by week four. The 90-day optimization period ensures adoption holds — we check in at 30 and 90 days to refine what the team is actually using.
Healthcare Organizations Ready to Stop Managing Spreadsheets
Start With a Healthcare Analytics Assessment
Schedule a 30-minute consultation. We'll assess your current analytics environment, identify the three biggest gaps between what you can answer now and what you need to answer, and show you what Vizier looks like configured for your specific situation.