Case Study · Population Health Management · Regional ACO
Regional ACO Reduces ED Utilization 24% Using PHM Risk Analytics — Without Adding Staff
A 90-physician independent ACO replaced its legacy care management approach with a data-first model and achieved results that surprised even their own board.
Why their original PHM platform wasn't working
This ACO had implemented a tier-2 population health platform three years earlier at significant cost. The platform produced risk scores. It generated care gap alerts. It had dashboards. What it didn't do — and what no one had flagged before SolvEdge arrived — was integrate with athenahealth in a way that kept data current. The risk scores were 45 days stale by the time care managers acted on them. In population health management, 45-day-old data is noise, not signal.
The platform issue was fixable. But the larger problem was that the ACO had no structured approach to social determinants of health (SDOH) — they were identifying clinically high-risk patients but missing the patients most likely to use the ED for non-clinical reasons. Transportation barriers, food insecurity, and medication affordability were driving a significant portion of their preventable ED utilization, and their risk model wasn't capturing any of it.
"We were managing the patients whose charts showed up in a report. SolvEdge showed us we were missing the patients who needed us most."
— Medical Director, Regional ACO (anonymized)
The three changes that drove a 24% ED reduction
Fixed the data latency
SolvEdge integrated a daily claims feed into the existing PHM platform — bypassing the 45-day lag. Risk scores updated daily. Care manager work lists refreshed overnight. The platform the ACO had already paid for suddenly worked the way it was supposed to.
Added SDOH screening at the point of care
A 5-question SDOH screener was embedded into athenahealth intake workflows. Results fed automatically into the PHM risk model, adding a social risk layer to the clinical risk score. Patients flagged for transportation or food insecurity were automatically added to a community resource outreach list — separate from the clinical care management queue.
Created a closed-loop ED alert system
When an attributed patient hit the ED at any participating facility, a same-day alert fired to their assigned care manager with the chief complaint, ED disposition, and a suggested follow-up protocol. Within 18 months, the 72-hour post-ED follow-up rate went from 31% to 79%.
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