AI for hospital pharmacy workload.
OneDose absorbs the operational load in a hospital pharmacy. Inbound calls are answered, prescriptions are structured from faxes and images, refills are validated and queued, and prior authorizations are drafted and chased — leaving pharmacists the clinical review and the exceptions that need a pharmacist.
A hospital pharmacist’s scarcest output is clinical judgement, and it is the output most reliably displaced by the phone ringing.
The work that is not pharmacy
A hospital pharmacist trained for years to make clinical decisions about medication. A substantial share of the day goes to answering the phone, deciphering a fax, retyping a script into a system, and chasing a payer for an authorization.
None of that work is optional and none of it is clinical. It is the tax on the clinical work, it scales with volume rather than with complexity, and it is the first thing that expands to fill the day.
The consequence is not just cost. It is that clinical review — the thing only a pharmacist can do — competes for attention with a ringing phone, and the phone usually wins because the phone is louder.
What changes with OneDose?
The phone stops being your problem
The voice agent answers inbound calls, verifies the caller, and resolves the routine ones. Clinical questions still reach you — with a transcript, so you are not asking the patient to start again.
Scripts arrive structured
Faxes, images and handwritten scripts come in as structured records with the uncertain fields flagged against the source image, so you review a flag rather than retype a document.
Prior authorization runs itself until it needs you
The evidence is assembled from the record, the submission goes in the payer’s format, and the chase happens without you. A denial comes to you with the reason attached, because a denial is a judgement call.
The exceptions come with context
Everything the agents escalate arrives with the history attached. The point is to spend your attention on the decision rather than on reassembling the situation.
What happens when the agent gets a prescription wrong?
The design assumption is that it will, which is why the behaviour at low confidence matters more than the accuracy on the easy cases. An illegible strength is flagged and routed for human review against the source image — never resolved to the most probable value, because on a milligram count the most probable value is wrong often enough to matter.
The final clinical check stays with a pharmacist. OneDose structures, queues and prepares; it does not dispense and it does not clinically review. Any vendor claiming an accuracy number that makes that check unnecessary is selling you a liability, not a product.
Where to go next
The pages below cover the mechanism in detail — what each agent does, and what it deliberately does not.
Frequently asked
- How does AI reduce hospital pharmacy workload?
- By absorbing the non-clinical load. Inbound calls are answered and triaged by a voice agent, prescriptions arriving as faxes or images are structured automatically with uncertain fields flagged, refills are validated and queued, and prior authorizations are assembled and chased — leaving pharmacists the clinical review and the exceptions.
- Does OneDose dispense medication?
- No. It prepares and queues; the dispensing decision and the final clinical check remain with the pharmacist.
- Do clinical questions still reach a pharmacist?
- Yes, every time. Questions about dosing, interactions, side-effects or whether to continue a medication are routed to a pharmacist with the call context attached. That boundary is a design constraint, not a setting.