Build your own case study — with metrics you control
Published Fizy Health case studies with invented percentages or anonymous testimonials would mislead buyers. Instead, this page gives clinic operators a measurement framework: baseline refill-day duration, post-payment rejection rate, cash-pay quote accuracy, front-desk status-call volume, and per-vial margin clarity before switch — then remeasure at 30, 60, and 90 days on Fizy Health. Your internal case study, built from your formulary and your ops team, is more trustworthy than any aggregate review score we could fabricate.
If you searched Fizy Health case study or results, what you need is a measurement plan — not a marketing PDF with made-up numbers.
Metrics to baseline and remeasure after switch
Each criterion is a metric clinic operators can actually track. Ratings are measurement status labels — not performance grades, star counts, or fabricated improvement percentages.
- Baseline pre-switch
Refill-day duration
Time from first portal login to last payment submitted on a typical refill day. Remeasure at 30 days on Fizy Health with equivalent patient count.
- Baseline pre-switch
Post-payment rejection rate
Count orders rejected by pharmacies after payment over 30 days. Cart validation should reduce this — track weekly for 90 days post-switch.
- Measure on top SKUs
Cash-pay quote accuracy
Compare quoted per-vial patient price against actual landed cost plus facilitation fee on your five highest-volume SKUs. Pass-through pricing should tighten this gap.
- Baseline pre-switch
Front-desk status calls
Log where-is-my-order and tracking inquiries for 30 days. Per-line platform tracking should reduce volume — remeasure monthly.
- Calculate monthly
Ops labor per order line
Total ops hours on pharmacy ordering divided by order lines submitted. Consolidation should lower this if portal hopping was your bottleneck.
- Model on pricing page
Facilitation fee vs savings
Monthly facilitation fees from your organization tier against documented ops hours saved and rejection costs avoided. Honest case studies include the fee line.
Measurement ratings are tracking prompts for your internal case study, reviewed June 2026 — not published results or invented testimonials.
Who should run an internal Fizy Health case study?
You need defensible numbers before expanding volume or recommending switch to leadership.
- You are piloting Fizy Health on a subset of formulary before full migration from manual portals.
- Your clinic owner or CFO wants ROI evidence beyond marketing claims and star ratings.
- You can assign an ops lead to baseline metrics for 30 days pre-switch and track remeasurement.
You are browsing only or volume is too low for meaningful deltas.
- You are evaluating guest catalog casually without near-term production volume — deep measurement is premature.
- Your monthly compounded order volume is too low for rejection rate or ops-hour metrics to be statistically meaningful.
- You need published third-party case studies today — build your own or wait; we do not fabricate them.
Platform capabilities behind the metrics.
Each outcome maps to a measurable improvement hypothesis — confirm the platform delivers on your formulary before you cite it in your internal case study.
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Friday refills for every patient in one checkout
Primary lever for refill-day duration and ops labor per line — time this before and after switch.
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Fewer paid orders rejected by the pharmacy
Track rejection rate weekly — validation before payment is the hypothesis this metric tests.
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Quote patients with real per-vial cost before the consult
Measure quote accuracy on top SKUs — pass-through landed cost is the input to margin clarity.
What clinics ask about Fizy Health case studies.
- Published
Are there published Fizy Health case studies with results?
We do not publish case studies with invented percentages or unverifiable testimonials. This framework helps you build an internal case study from your own baseline and remeasurement — that is more defensible for your leadership team.
- Metrics
What is the single most important metric to track?
Refill-day duration combined with post-payment rejection rate captures both ops efficiency and order quality. Baseline both for 30 days pre-switch, then track weekly for 90 days on Fizy Health.
- Timeline
When should I remeasure after switching?
30 days for initial ops and rejection signals, 60 days for status-call volume trends, 90 days for stable facilitation-fee-vs-savings economics. Avoid declaring victory on week one — staff learning curve affects early numbers.
- Honesty
What if results are mixed?
Honest case studies include facilitation fees, learning-curve weeks, and SKUs where pass-through does not beat a negotiated compounder rate. Mixed results still inform whether to expand volume or parallel-run longer.
- Sharing
Can I share my internal case study with Fizy Health?
If you want to contribute verified outcomes for future public materials, contact us with documented metrics — we will not fabricate or embellish your numbers. Anonymous invented testimonials are never used.
Start your baseline this week.
Log refill-day time and rejection rate for 30 days, then switch trial volume to Fizy Health and remeasure — your case study writes itself.