Pharmacy operators
Build services around clinic relationships and local trust.
Use a pharmacy-specific acquisition model, Partner Program, training system, and growth workflows.
FairPath for remote-care operators
Run remote care for the clinics you serve without rebuilding the operation for every client.
FairPath gives operators one system for patient qualification, enrollment, work routing, documentation, communications, billing readiness, clinic visibility, and multi-client management across APCM, RPM, CCM, and RTM.
Two operator paths, one structured platform.
Remote-care operators
Operate programs for practice clients at repeatable quality.
Standardize how new clinics launch, how staff share work, how exceptions escalate, and how clinics see progress.
Discuss a remote-care operator deploymentWhere scale breaks
Volume exposes every informal process.
Adding clients should not multiply spreadsheets, logins, training variations, and month-close reconstruction.
Prioritization drifts
Staff switch between client lists and local rules while urgent work waits in the same pile as routine work.
Quality becomes manager-dependent
Experienced supervisors carry tribal knowledge that new staff cannot reliably reproduce.
Close effort expands
Missing evidence, unresolved exceptions, and client-specific requirements surface after the month ends.
Clinics lose visibility
Partners receive summary reports instead of seeing completed work, open requirements, and readiness.
Multi-client command center
Segment the clients. Share the operation.
FairPath separates clinic access and data while letting authorized operator teams work from role-based views across the clients they support.
Clinic and payer segmentsClient, tax ID, payer, program, and cohort context
toAuthorized work lanesRole queues, escalations, supervisor review, and no data bleed
toClinic-visible resultsCompleted work, requirements, documentation, and billing readiness
Separate permissions
Users see the clinics, patients, and functions assigned to their role.
Cross-client navigation
Authorized teams move between clinic workspaces without rebuilding the work model.
Supervisor views
Leaders see volume, exceptions, staffing pressure, and month-close state across cohorts.
Role-based operation
New staff perform to the process, not to tribal knowledge.
Required artifacts, queue definitions, escalation paths, and billing controls stay consistent while workload moves between trained roles.
Intake and onboardingSource files, missing data, outreach, consent, assignment
Clinical reviewAppropriateness, exceptions, pathways, escalation decisions
Care deliveryScheduled and event-driven patient work
Billing reviewRequirements, time, evidence, ready and blocked records
QA and supervisorWorkload balance, quality checks, absence and turnover coverage
Client visibilityAgreed activity, documentation, escalation, and readiness views
Cross-cohort visibility
See capacity and close risk before they become client problems.
QueuesVolume and age by role
WorkloadAssignments and capacity pressure
ExceptionsOpen requirements and escalation count
ReadinessClinic and cohort close status
ProgramsAPCM, RPM, CCM, and RTM on one spine
One patient record, routing model, timing context, and billing-review process reduces the need for separate tools for every program.
FairPath Advanced AI
Turn a new clinic panel into controlled operator work.
Configured automation handles repeatable preparation while operator and clinic roles retain approval where judgment is required.
From source file to separated work queues
- Import the clinic panel and preserve its client context.
- Normalize configured fields and identify missing information.
- Apply program, payer, and cohort rules.
- Route ambiguous records to the assigned reviewer.
- Create role queues and client-specific readiness views.
- Record decisions and exceptions for review.
- Human control
- Clinical appropriateness, ambiguous eligibility, and enrollment approval stay with designated people.
- Reusable result
- The next clinic can begin from the same controlled onboarding pattern instead of a new spreadsheet process.
- Technology
- FairPath Advanced AI is Powered by Buffaly.
What the clinic can see
- Enrolled patients and completed work
- Outstanding requirements and escalations
- Documentation and agreed reports
- Billing-ready and blocked records
The operator does not need to turn the program into a black box.
Trust built into the operation
- Role-based access and client data segregation
- Reviewable actions and operating logs
- Documented data exchange and export workflows
- Implementation, training, and rollout planning
Integration and exchange methods vary by source system and deployment.
Prove one clinic before multiplying the model.
- One clinicDefine responsibilities, systems, program, and success measures.
- First cohortImport, qualify, assign, and train around real patient work.
- First complete monthReview work, exceptions, documentation, and readiness.
- Capacity and close reviewMeasure staffing demand and unresolved work.
- Repeatable clinic templatePreserve roles, queues, artifacts, and escalation paths.
- Next clinicExpand only after the first operating pattern is stable.
Operator deployment
Map the deployment around one real clinic.
Bring the current client model, programs, patient volume, staffing, systems, billing arrangement, and first clinic. The next conversation defines responsibilities and the smallest credible launch.