A lot of hospitals react to readmissions after they happen instead of catching the risk beforehand. I use SQL and Power BI to build risk dashboards that flag which patients are actually likely to come back within 30 days — and why — so clinical and finance teams can step in before discharge instead of after the fact.

In one project, I found that a single prior readmission more than doubled a patient's risk (from 27.79% to 69.50%), and having four or more comorbidities pushed that risk past 75%. Every measure in the dashboard is documented (using DAX), so the numbers aren't a black box — your team can see exactly how the risk score is calculated.

What you get: a readmission risk dashboard, documented risk-scoring logic, and a clear breakdown of which factors matter most for your patient population.