Referral intake
Track referral source, therapy, prescriber, prescription status, patient demographics, insurance, enrollment forms, and missing documents.
Pharmacy operations
Automate specialty pharmacies: referral intake, benefits investigation, prior authorization, patient onboarding, refill outreach, adherence, claims, guardrails, ROI, and pricing.
Specialty pharmacy workflow model
The specialty pharmacy design feels like an operations queue for high-touch therapies: referrals, prescriptions, enrollment forms, benefits investigation, prior authorization, copay assistance, patient onboarding, refill outreach, adherence tasks, re-authorizations, claims, denials, payments, and pharmacist or manager review stay visible while automation avoids unreviewed therapy advice, dispensing decisions, dosage changes, substitutions, adverse-event handling, HIPAA-sensitive messages, or payer commitments.
Track referral source, therapy, prescriber, prescription status, patient demographics, insurance, enrollment forms, and missing documents.
Prepare benefits investigation, payer criteria, prior authorization status, copay assistance, foundation support, and reviewer action.
Queue consent, welcome call, education handoff, delivery preferences, refill cadence, adherence flags, and pharmacist review.
Organize claim status, denials, missing information, re-authorization timing, copay issues, payment follow-up, and escalation owner.
Owner problem
Specialty pharmacy AI automation works best when it prepares pharmacist, reimbursement, intake, patient-care, and billing-reviewed work instead of making clinical therapy decisions, changing prescriptions, giving medication advice, dispensing, substituting drugs, handling adverse events independently, or promising payer outcomes. The first pilot should reduce referral backlog, missing enrollment packets, benefits investigation delay, prior authorization churn, patient onboarding gaps, refill follow-up, re-authorization surprises, and claim denials while preserving professional review.
Classify therapy referral, prescriber, prescription status, demographics, insurance, enrollment forms, missing documents, and intake owner.
Attach benefits investigation, payer criteria, prior authorization status, copay assistance, foundation support, denial context, and reviewer action.
Queue onboarding, refill outreach, adherence flags, re-authorizations, claim exceptions, copay issues, payments, and escalation owner.
How we help
Map referral, payer, patient, and pharmacy handoffs: Document where prescriber offices, fax, phone, pharmacy management systems, CRM, payer portals, hub services, copay portals, delivery systems, SMS, email, and patient portals slow the team down.
Prepare reviewed pharmacy work: Use AI to classify referrals, assemble benefits and authorization context, draft reviewed prescriber or patient updates, and queue reimbursement, pharmacist, patient-care, billing, or manager review work.
Protect clinical and compliance boundaries: Require review for medication counseling, therapy advice, dose changes, prescription changes, substitutions, dispensing decisions, adverse-event reports, coverage commitments, and sensitive patient messages.
Example case
The first implementation should be narrow enough to launch quickly and important enough to prove ROI. This example shows the kind of workflow we would validate during the consultation.
Problem: Specialty pharmacy teams move between prescriber offices, fax, phone, pharmacy systems, CRM, payer portals, hub services, copay programs, delivery tools, SMS, email, and patient portals while patients wait for therapy starts and refills.
Automation: AI classifies referrals, prepares benefits investigation and prior authorization context, queues missing documents, drafts reviewed prescriber or patient follow-up, organizes refill and adherence tasks, and routes reimbursement, pharmacist, patient-care, billing, or manager-review exceptions.
Guardrail: Medication counseling, therapy advice, prescription changes, dose changes, substitutions, dispensing decisions, adverse-event handling, coverage commitments, final claim decisions, and sensitive patient messages remain pharmacist, clinician, reimbursement, biller, or manager-reviewed.
ROI model
Specialty pharmacy AI workflow ROI should show up in faster referral response, more complete benefits investigation, quicker authorization movement, shorter therapy-start delays, cleaner refill and adherence queues, fewer re-authorization surprises, better denial movement, and fewer manual staff touches.
Referrals with prescriber, therapy, prescription status, patient demographics, payer, enrollment packet, missing documents, and intake action ready.
Eligibility, coverage details, payer criteria, prior authorization status, copay assistance, foundation support, and reviewer action visible.
Welcome calls, consent, delivery preference, refill cadence, adherence flags, therapy holds, re-auth timing, and pharmacist-review queues organized.
Claim status, denial reasons, missing information, copay issues, payment follow-up, appeal support, and billing owner prepared.
Long term, the specialty pharmacy gets a guarded operations layer across prescriber offices, fax, phone, pharmacy management systems, CRM, payer portals, hub services, copay portals, delivery systems, payments, SMS, email, and approval queues.
Fees
Start narrow, prove the workflow, then move to managed optimization only if the numbers work.
$1.5K-$4K
Specialty pharmacy workflow map, referral and payer review, system inventory, approval boundary, and pilot ROI estimate.
$8K-$30K
One referral intake, benefits investigation, prior authorization, patient onboarding, refill, adherence, claims, denial, or re-auth workflow with integrations and logs.
$3K-$12K/mo
Monitoring, reimbursement and pharmacist feedback, authorization reporting, refill queue review, message tuning, denial review, and expansion planning.
FAQ
Short answers for owners and operators deciding whether an AI workflow pilot is worth scoping.
Start with a repeated queue such as referral intake, missing enrollment forms, benefits investigation, prior authorization prep, copay assistance, patient onboarding, refill outreach, adherence follow-up, re-authorizations, claim denials, or prescriber updates.
No. AI can organize source context and route tasks, but medication counseling, therapy advice, dose changes, prescription changes, substitutions, dispensing decisions, adverse-event handling, and sensitive clinical messages should remain pharmacist or clinician-reviewed.
Useful metrics include referral response time, benefits investigation completion, authorization turnaround, therapy-start time, onboarding completion, refill coverage, adherence follow-up, re-authorization movement, denial movement, payment follow-up, staff touches removed, and correction rate.
Workflow guides
Deeper pages for specific workflows, search intent, integrations, guardrails, and measurable ROI.
Build specialty pharmacy referral, benefits investigation, and prior authorization AI workflow automation for therapy referrals, missing documents, payer packets, copay support, staff review, and ROI reporting.
Specialty PharmacySpecialty Pharmacy Refill, Adherence, and Claims AI Workflow AutomationBuild specialty pharmacy refill, adherence, re-authorization, and claims AI workflow automation for patient outreach, therapy holds, denials, copay issues, payments, staff review, and ROI reporting.
Implementation plan