Specialty Analytics

Your billing is complex. Your dashboard shouldn't be.

No-show rates, session attendance, prior auth denial patterns, and therapist productivity — pulled from your EHR and surfaced daily so your practice can focus on care instead of chasing data.

Behavioral health analytics is a data intelligence service that extracts appointment, session, and billing data from behavioral health EHR systems and delivers daily dashboards covering no-show rates, session attendance, therapist productivity, prior authorization denial patterns, and revenue per session by payer — giving behavioral health group practices the operational visibility to manage caseloads, reduce revenue leakage, and monitor payer performance without manual reporting.

No-show
Rate visible by therapist and payer — not just practice-wide
Daily
Session and revenue refresh — no more weekly manual summaries
CPT-level
Denial tracking across all behavioral health billing codes

The problem

Behavioral health practices carry the highest no-show rates of any outpatient specialty — often 20–35% — but most have no systematic view of which therapists, payer panels, or patient populations are driving the pattern. Revenue cycle in behavioral health is unusually complex: prior authorization burden is high, insurance denial rates on CPT codes 90834 and 90837 run well above other specialties, H-code billing for community mental health adds a separate billing layer, and sliding-scale or self-pay patients require revenue tracking that most EHR reports cannot handle cleanly. The result is that behavioral health group practice administrators are making decisions about therapist caseloads, intake scheduling, and payer contracting on data that is weeks old and manually assembled.

What we build

Harine Management builds behavioral health-specific analytics dashboards that surface no-show rate by therapist, payer, and appointment type; session productivity against contracted hours; prior authorization denial rates by payer and CPT code; and revenue per session by payer — connected directly to your EHR and refreshed daily in Power BI. Practice administrators get the visibility to manage therapist caseloads, prioritize intake, and monitor payer performance without a single manual export.

What you get

Common questions

How does analytics work for behavioral health practices?
Behavioral health analytics connects to the practice's EHR — Athenahealth, eClinicalWorks, SimplePractice, or other platforms — and extracts appointment, session, billing, and payer data to build dashboards covering the operational and financial metrics specific to outpatient mental health and behavioral health; the system tracks no-show rates, session attendance, prior authorization and denial rates on behavioral health CPT codes, therapist productivity against contracted hours, and revenue per session by payer — with a daily refresh so practice administrators always have a current picture without manual reporting.
What metrics matter most for behavioral health practices?
The highest-impact metrics for behavioral health group practices are no-show rate by therapist and payer (the single largest controllable lever on revenue capture), session attendance rate versus contracted therapist hours (identifies caseload underutilization before it compounds), prior authorization denial rate by payer and CPT code (90834 and 90837 denial rates are typically the largest single source of behavioral health revenue leakage), revenue per session by payer (highlights which payer contracts are underperforming on reimbursement relative to session length billed), and new patient intake volume (the forward-looking indicator of practice growth or attrition).
Can behavioral health analytics track both insurance-billed and self-pay or sliding-scale sessions?
Yes — where the EHR records self-pay and sliding-scale sessions with a distinct payer or fee-schedule designation, Harine Management's behavioral health dashboard tracks insurance-billed and self-pay sessions separately, with revenue per session calculated for each category; this allows practice administrators to see the true payer mix including self-pay volume, monitor sliding-scale discount rates, and understand the margin difference between insurance-billed and self-pay panels without any manual calculation.
How are prior authorization denials tracked in behavioral health billing?
Prior authorization denial analytics are built from the claim-level denial data in the EHR billing module, with each denial tagged by CPT code (90834, 90837, 90847, and others), payer, therapist, and denial reason code; the dashboard shows denial rate as a percentage of sessions billed, dollar value of denied claims, and trend over time — so practice administrators can identify whether denials are concentrated at a specific payer, triggered by a particular CPT code or session length, or concentrated with specific therapists whose documentation may require attention.

Ready to see what your EHR data can do?

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