Specialty Analytics

Run your urgent care on data, not gut feel.

Hourly occupancy, door-to-provider time, shift-level productivity, and payer mix — all pulled from your EHR and surfaced in a dashboard your ops team checks before the first shift starts.

Urgent care analytics is a data intelligence service that extracts operational and financial data from urgent care EHR systems and delivers it as a real-time dashboard covering hourly patient volume, door-to-provider throughput time, shift-level provider productivity, payer mix, and CPT-level claim denial rates — giving urgent care operators the visibility to staff correctly, catch revenue cycle problems early, and compare performance across locations without manual reporting.

Daily
Occupancy and volume refresh — not last week, today
Shift
Granularity for provider productivity — not just monthly totals
< 7 days
To surface a payer mix shift before it hits the P&L

The problem

Urgent care operations run on throughput, but most urgent care groups have no real-time visibility into the metrics that actually drive it. Staffing decisions are made on last week's volume, occupancy spikes go undetected until the waiting room is full, and payer mix shifts — particularly rising self-pay — don't show up in financial statements until the quarter is over and the damage is already done. Claim denial rates on X-ray, lab, and procedure bundles often run 3–5 points higher than owners realize because no one is watching CPT-level denial patterns across shifts.

What we build

Harine Management's Urgent Care Analytics service connects your EHR to a daily-refreshed Power BI dashboard purpose-built for urgent care operations — tracking hourly and daily patient volume, door-to-provider time trends, shift-level provider productivity, payer mix, and denial patterns by CPT code and facility. Leadership gets the operational intelligence needed to staff correctly, bill cleanly, and catch payer mix deterioration before it reaches the income statement.

What you get

Common questions

How does data analytics work for urgent care practices?
Urgent care analytics connects directly to the practice's EHR — Athenahealth, eClinicalWorks, or other platforms — and extracts encounter-level data including visit timestamps, CPT codes, payer information, and provider assignment; this data is structured into a daily-updated Power BI dashboard that tracks operational metrics like door-to-provider time, hourly occupancy, and shift productivity alongside financial metrics like payer mix, collection rate, and denial rates, giving urgent care leadership a real-time operational picture without any manual reporting.
What metrics matter most for urgent care practices?
The most operationally critical metrics for urgent care groups are door-to-provider time (the primary throughput lever), hourly patient volume by location (drives staffing decisions), payer mix trend (self-pay growth compresses margins faster than most other specialties), CPT-level denial rates (X-ray, lab, and procedure bundles are the highest-risk billing categories in urgent care), and shift-level provider productivity measured in encounters and wRVUs (the basis for shift staffing optimization and provider compensation).
Can urgent care analytics track multiple locations in a single dashboard?
Yes — Harine Management's urgent care dashboards are specifically designed for multi-site urgent care groups, with location-level segmentation so operators can see volume, occupancy, payer mix, and denial rates for each site independently while also viewing a consolidated roll-up across the network; location comparisons surface performance gaps and staffing inefficiencies that are invisible when all sites are aggregated.
How are denial patterns tracked for urgent care billing?
Denial analytics for urgent care are built from the claim-level billing data in the EHR, with each denial categorized by CPT code, denial reason code, payer, and facility; the dashboard shows denial rate as a percentage of encounters billed, dollar value of denied claims, and trend over time — so billing teams can identify whether a spike in denials is driven by a specific CPT code, a specific payer's policy change, or a documentation gap at a particular location.

Ready to see what your EHR data can do?

Every engagement starts with a 30-minute discovery call. No commitments — just a clear look at what's possible with your data.

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