Every script is typed before your technician opens it. Faxes, eScripts, scanned paper and portal orders all arrive as structured data, matched to the right patient and prescriber.
Crooked scans, handwriting, a bad fax, a six-page referral packet. The documents your current system hands back to a person come through as something your team can work with. It also learns how your pharmacy writes a sig and which abbreviations you use, so what lands reads like your own work and not something to reformat.
Patient, prescriber and NDC are already chosen by the time a script reaches review, and changing one takes a click. Where several NDCs are clinically equivalent, you land on the one that pays best. You are not losing margin because someone took the first option on the list.
Quantity, days supply and refill dates arrive with the directions. Nobody is working out a count at seven in the morning, and nobody is correcting a days supply at the till.
A direction that changed since the last fill, a dose that moved, a duplicate therapy, an interaction. Each one arrives with the history behind it already gathered, so your pharmacist can decide in a minute without going to find the last three fills. And it comes up early enough that there is still time to ring the prescriber.
Everything that needs judgement is gathered into a single pharmacist review, so the same script is not checked at three separate stops. Clean scripts advance on their own. Surfacing exceptions this way removes work rather than adding more.
It reads eScripts via Surescripts, inbound faxes, scanned paper, emailed PDFs, portal orders and clinical documents from any EHR template. Layout differences between clinics and virtual-care providers do not need separate configuration.
Yes. Automation handles the typing and the matching. Clinical verification stays a pharmacist step, with the source document open next to the extracted data. Everything needing judgement is gathered into one review, not several separate checkpoints.
Pharmacies typically bring a three-person data entry bench down to one reviewer and move the other two onto clinical services, adherence outreach, and patient-facing work.
