Bloat Dsrip May 2026

Here is how bloat manifests in DSRIP, why it destroys your ROI, and how to lean out your reporting. 1. Metric Creep (The "Nice to Know" Syndrome) DSRIP originally focused on high-impact areas: avoidable ER visits, cardiovascular health, and perinatal care. But over three years, someone always asks, "Can we just add one more measure?" Suddenly, you are tracking 120 discrete data points for a single patient cohort. When every metric is a priority, none are. The bloat comes from measuring things that are easy to track (data availability) rather than things that change outcomes (clinical relevance).

Write specific code to strip out non-Medicaid patients at the point of ingestion , not at the point of reporting. Use a lightweight ETL (Extract, Transform, Load) process that drops irrelevant records before they ever hit your analytics server. The Bottom Line DSRIP was never meant to be a permanent state of chaos. It is a reform program. But reform requires agility. bloat dsrip

The “Bloat” in DSRIP: When Value-Based Care Metrics Get Too Heavy to Lift Here is how bloat manifests in DSRIP, why

No, we aren’t talking about patient population weight or administrative overhead. We are talking about within the Delivery System Reform Incentive Payment (DSRIP) program. But over three years, someone always asks, "Can

To satisfy DSRIP, you need to pull claims data, EHR data, and social determinant (SDOH) data. The bloat happens in the middleware . Your interface engines are processing millions of duplicate ADT messages just to confirm a patient is still "attributed" to your PCP. This bloat slows down real-time dashboards to a crawl, making your November report look like it was written in July.

Stop joining five tables. Pick one system as your master patient index for DSRIP. If your EHR is the source for clinical measures, do not let the billing system override it. Bloat happens when two systems argue. Pick a winner.