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Outcomes & Analytics

See which services get billed, paid, and denied.

Every clinical encounter, every CPT code, every dollar β€” surfaced in dashboards designed for pharmacy operators. Drillable from the network down to one pharmacist on one shift. The picture you've been trying to assemble in spreadsheets, finally in one place.

Built for the people who run the business
Owners, COOs, and clinical directors check MedMe Analytics first thing every Monday.
3
Dashboard categories: clinical, financial, operational
42+
Pre-built reports out of the box
∞
Custom reports through the report builder Β· no SQL
< 5s
Report load time across 12-month windows
Three dashboard families

Clinical, financial, operational β€” wired into the same chart.

Most reporting tools pick one lens. MedMe gives you all three, and lets you cross-cut between them: which pharmacist generates the most CCM revenue per hour, which service has the worst denial rate, which store has the slowest intake-to-encounter cycle.

CL

Clinical outcomes

A1C deltas across CCM patients. BP control rates. Adherence (PDC, MPR) trends. Patients due for annual reviews. Cohort comparisons. Track whether the clinical work is actually moving the needle.

  • A1C / BP / LDL trend by patient and cohort
  • Adherence (PDC, MPR) over time
  • Care plan goal attainment rate
  • Hospital readmission tracking (where HIE feed available)
FI

Financial performance

Revenue by service, by store, by pharmacist. First-pass acceptance. Days-to-pay. Denial reasons. Revenue per encounter. The numbers your accountant asks for, ready before they ask.

  • Revenue by CPT/HCPCS code
  • First-pass claim acceptance rate
  • Median days from encounter to ERA
  • Denial rate + reason-code breakdown
OP

Operational throughput

Encounters per pharmacist-hour. Documentation time. No-show rate. Booking conversion. Recall outreach yield. The metrics you need to staff stores and forecast capacity.

  • Encounters per pharmacist-hour
  • Median documentation time per encounter
  • No-show rate by service / by store
  • Recall campaign conversion rate
Pharmacist scoreboard Β· Q1 2026
Network Β· 6 stores Β· 14 RPh
1. Sarah Chen, PharmD Β· Store 02$48,200
2. Marcus Patel, RPh Β· Store 04$42,800
3. Lia Rodriguez, PharmD Β· Store 01$39,400
4. James Park, RPh Β· Store 03$36,100
5. Aisha Khan, PharmD Β· Store 05$33,900
6. Tom Williams, RPh Β· Store 06$31,200
Network median$28,700

Drillable: tap any pharmacist to see code mix, denial rate, hours, encounters/hr.

Per-pharmacist scoreboard

See which of your pharmacists are running profitable clinical books β€” and which need coaching.

Multi-store operators always ask the same question: "Which of my pharmacists are actually doing the clinical work?" The answer used to require a spreadsheet build, hours of pivot tables, and a guess. MedMe answers it on a single dashboard, refreshed nightly.

  • Net new clinical revenue per pharmacist, per quarter
  • Encounters per scheduled clinical hour
  • Documentation time vs. peer median
  • Denial rate by pharmacist (with reason-code breakdown)
  • CCM minute capture (under-, on-, over-target)
  • Patient feedback NPS (where collected)

Use it for staffing decisions, performance reviews, and the friendly Friday email that says "Sarah, you crushed it this week."

Denial intelligence

Find the leak before it floods the basement.

Most pharmacies don't know their top denial reasons until they get the quarterly report from their billing service. By then, the same denial has happened 200 more times. MedMe surfaces the pattern within hours β€” and tells you exactly which encounter, pharmacist, and payer it ties back to.

CO-50
Top denial reason last quarter (network) β€” non-covered service per LCD
42% of all denials
CO-97
Bundled / inclusive β€” most often a misapplied modifier
18% of all denials
CO-16
Claim lacks information β€” usually NPI / taxonomy mismatch
14% of all denials
CO-29
Timely filing exceeded β€” fixable with denial-queue ownership
9% of all denials

Each card drillable into the underlying claims, the originating encounters, and the pharmacists who submitted them.

Custom report builder

Build the report you wish you had β€” without writing SQL.

The pre-built dashboards cover 90% of what most operators ask for. The other 10% β€” the question your CFO asked yesterday, the slice your board wants for Tuesday β€” is a five-minute drag-and-drop in the report builder.

  • Pivot encounters, claims, patients, pharmacists, codes, payers
  • Filter on any field; group by any dimension
  • Save reports, schedule weekly emails to leadership
  • Export CSV, PDF, or push to Snowflake / BigQuery
  • Shareable read-only links with row-level security
Build a report
SourceClaims
Filter Β· payerMedicare Part B
Filter Β· code99490, 99491, G0511
Filter Β· dateQ1 2026
Group byStore Β· Pharmacist
MetricNet paid + denial rate
ScheduleMon 7am β†’ leadership
Ready to see your own numbers?

Bring your encounter volume. We'll show you what you've been missing.

20-minute screen-share. We'll pull a sample dataset shaped like yours and walk through the dashboards live.