Executive Analytics for Multi-Site Infusion Organizations

Three domains cover most of the decisions that matter:

‍Sales: Total referrals, estimated gross profit per referral, and share of referrals from priority providers. Volume plus referral mix, not just whether you're growing, but whether you're growing with the right business.
‍Intake: Time from referral creation to first appointment, and intake specialist productivity. The first measures conversion speed. The second tells you whether your team can sustain it.
‍Revenue cycle: Initial denial rate, AR aging, charge lag, and billing lag. Denial rate catches payer problems early. AR aging shows where cash is stalling. Charge and billing lag reveal delays between service and claim submission that quietly erode cash flow.

Cross-site visibility requires data integration, standardized KPI definitions (so “denial rate” means the same thing everywhere), and a reporting framework serving different audiences at different detail levels. Building the executive analytics infrastructure typically takes six to eight weeks to first dashboard.

SolisRx applies AI-enhanced pattern detection to identify cross-site anomalies, emerging denial trends, and payer behavior shifts that manual analysis misses. Predictive exception monitoring flags deteriorating metrics before they reach critical thresholds: a payer’s reimbursement pattern changing across three sites, or a referral source declining in a way that signals competitive displacement. The AI layer operates on your integrated data infrastructure, so every insight is traceable and verifiable, not a black-box output.

Your EHR was built to document care and generate compliance reports, not to run a business. The canned reports it produces are siloed by site, require manual data pulls to consolidate, and can't be tailored to how your organization actually measures performance. If you recognize revenue on date of claim submission rather than date of service, your EHR likely can't reflect that. If you want to link referral activity to denial patterns to payer mix to contribution margin, you're copying spreadsheets between systems spending hours to match the definitions.

Executive Analytics are built on a data spine, an integrated layer that pulls from your EHR, your RCM system, and every other source, standardizes definitions across sites, and makes cross-organizational questions answerable in real time.

Yes. Board-ready packages are generated from the same infrastructure used for daily management, ensuring consistency between operational decisions and investor reporting, especially revenue and EBITDA trends by site, same-site vs new-site performance, and KPI benchmarks against industry comparables.