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Platform Β· Outcomes & analytics

Per-store, per-pharmacist, per-service. Drill into bottlenecks; benchmark across the banner.

Stop running pharmacy on gut feel. See who’s billing what, where the no-shows are clustering, which RPh is the high-throughput champion, and which store is leaving $40k/yr on the table. Built for one-store independents and 1,000-store enterprises — same data model.

Whole Health Pharmacy Partners · All stores

Q2 2026 · Clinical services dashboard

Last updated 14:22 ET · live
8,420
Consults this month
+24% MoM
$184k
Billed clinical revenue
+31% MoM
94.1%
Show-rate
+1.4 pts
12.3
Median consult mins
βˆ’1.8 mins

Top stores by consult volume (last 30 days)

Bayview1,184
Yonge & Eg1,036
Markham N934
Mississauga820
Ajax628
Oshawa486
Dashboard categories

Six pre-built dashboards. Plus a custom builder when you need it.

πŸ“Š

Volume & mix

Consults / vaccinations / minor ailments / OAT / HC by week, month, quarter. By store, RPh, service, payor, time-of-day.

$

Billing & revenue

Submitted, paid, rejected per provincial portal. Average revenue per consult by service. Aging on outstanding claims.

⏱

Time & throughput

Median consult duration, time-to-document, show-rate, no-show rate, walk-up wait time. Bottleneck heatmaps.

βš•

Clinical outcomes

Follow-up adherence, repeat-presentation rates, intervention completion. By condition (UTI, hypertension, T2DM).

πŸ‘₯

Pharmacist performance

Per-RPh productivity (with privacy guardrails). Service-mix capability. Documentation-quality scoring.

⚠

Audit & risk

Notes missing required fields, claims at risk of college-audit kickback, RPh-license-expiry calendar.

Multi-store rollup

Banner-level visibility without the spreadsheet hell.

Banner directors of pharmacy and operations VPs get a real-time view across every store on the platform. Drill from the banner number into province, into store, into pharmacist, into individual consult — in three clicks.

  • Roll-up by region, province, district, store cohort
  • Anomaly detection — surface stores trending below their cohort
  • Cohort comparison — same-size, same-province, same-service-mix benchmarks
  • Alerts — configurable thresholds via email or Slack/MS Teams
  • Export to CSV/Excel/Parquet for warehouse loads
  • Pre-built Looker / PowerBI / Tableau connectors
Banner anomaly · live
3 stores below cohort — investigate
Store Β· Markham Northβˆ’18% vs cohort
Β· Show-rate81% (cohort 94%)
Store Β· Mississaugaβˆ’12% vs cohort
Β· Avg consult time19m (cohort 12m)
Store Β· Oshawaβˆ’9% vs cohort
Β· Billing-rejection rate8% (cohort 1%)
Auto-emailed to Banner Ops Β· Mon 06:00 ET
For payors & payviders

Outcome-data sharing for value-based contracts.

Enterprise customers running payor relationships or value-based contracts can configure outcome-feed exports. Aggregated, de-identified, audit-trailed. Quarterly attestation reports for OPA, ABPA, OCP, and provincial benefits programs are pre-built.

  • Aggregated, de-identified outcome feeds (FHIR R4 or HL7 v2)
  • Configurable on a per-contract basis
  • Pre-built quarterly attestation: BC PharmaCare, OPA, ABPA
  • SOC 2 Type II audit-trail for every export
  • Pharmacy-level opt-in (banners can require pharmacist consent)
Enterprise platform β†’
payor-feed v2 · FHIR R4
2026-04-30 quarterly attestation
Records exported: 184,221
Stores covered: 412
Service types: 14
PHI fields: 0 (de-identified)
Status: βœ“ Attested Β· Sent to BC PharmaCare
Custom builder

Build the dashboard your operations team actually needs.

Drag-and-drop dashboard builder for ops VPs and banner analytics teams. Pull from MedMe’s underlying data warehouse using a curated set of fields — no SQL required, but available for power users.

  • Custom KPI tiles, charts, tables, heatmaps
  • Filters by store, region, service, RPh, payor, time
  • Saved views per role (RPh, store mgr, district, banner)
  • Scheduled email digests (daily, weekly, monthly)
  • Embed dashboards in your intranet
DashboardMy Banner Q2 view
Tiles8 KPIs Β· 4 charts
RefreshEvery 5 min
RecipientsMon 06:00 Β· 14 ppl
Filterstore IN ('ON-*')
Filterservice = 'minor_ailments'
Last edited2 days ago by V. Chiu

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