Workflow / Revenue / Pharmacy
Pharmacist Verification at Scale
$1.5M+ additional revenue. $150K+ legacy API cost removed to date; $500K+ projected.
At a glance
- Problem
- Pharmacist time was spent on data entry and legacy API friction, not verification. Volume could not grow without more licensed labor or more error.
- Ownership
- Product lead from problem framing through requirements, workflow redesign, engineering delivery, release, and operational adoption.
- Complexity
- Licensed verification cannot be removed. The product had to speed the path around judgment without weakening auditability or accuracy.
- Decision
- Remove repeatable data entry and costly legacy API processing from the verification path. Leave the pharmacist decision in human hands.
- Result
- $1.5M+ additional revenue. $150K+ API processing cost reduced to date, $500K+ projected. Higher throughput. Related dispensing work helped bring misfill/dispensing errors below 1%.
$1.5M+
additional revenue
$150K+
legacy API cost reduced
$500K+
projected savings
01
Problem
Verification is a control point. Manual prescription data entry and a costly legacy API sat in front of it. Pharmacists paid in time; the business paid in unit cost and lost capacity.
02
What I owned
I specified the workflow, wrote the requirements, and ran delivery with engineering through release. Adoption was part of the job: pharmacists and operations had to change daily work, or the product did not count.
03
Product decisions
Specify the work that should never require licensed time. Do not “optimize” verification by removing the pharmacist.
Write requirements against the operational path, not a screen list. Treat first release as the start of adoption.
04
Result
Manual data entry dropped. Legacy API processing costs fell more than $150K, with projected savings above $500K. Processing capacity rose and contributed to more than $1.5M in additional revenue.
The same change moved cost, capacity, and revenue together because capacity was the constraint.