Healthcare
Clinical coding support
Coders get a ranked list of candidate codes with the supporting text from the record, looked up in the official code sets, for them to accept or change.
Custom app
Healthcare · Automation
Referral intake and routing
AI referral management for hospitals, clinics and imaging
Incoming referrals are read, checked for missing information and routed to the right service, with urgency confirmed by a clinician.
01 today
The problem
Referrals arrive by fax, email, e-referral and letter, in every format. Admin staff read each one to work out the service, check for missing details and chase referrers. Incomplete referrals bounce back and forth, and urgent ones can sit in the pile.
02 the run
What the AI does
- Step 1: Picks up referrals from e-referral systems, secure email, fax-to-email and scanned letters.
- Step 2: Reads the patient details, reason for referral, referrer and attachments.
- Step 3: Checks the referral against the service's acceptance criteria and lists what is missing.
- Step 4: Suggests the right clinic or service, and highlights words that may signal urgency for a clinician to review.
- Step 5: Creates the referral in the patient administration system and requests missing information from the referrer.
paused: waiting for a person to approve
03 human in the loop
Where a person approves
A clinician sets and confirms every referral's priority; the tool only highlights possible urgency. Admin staff confirm the record before it is created.
04 after
What changes
Referrals are logged soon after they arrive, complete ones go straight to the right clinic and urgent ones reach a clinician's eye faster.
Case studyEvery referral logged, complete and in front of the right clinicianThe rollout, what to measure, a worked example and the research behind it.see also
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Tell us how your business runs. We'll tell you where AI fits.
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