LinearPilot for Healthcare
Run scheduling, digital intake, and staff readiness with record-level access controls — named AI providers under no-training terms, and sensitive fields masked before anything leaves.
Built for clinical teams
Scheduling, intake, and access control designed around how clinics actually run.
Scheduling
Two-way calendar sync, plus an assistant that drafts appointments for you to confirm — it never books on its own.
Digital intake
Build intake and consent forms patients complete before they arrive.
Staff readiness
Track staffing, schedules, and team readiness in HR.
Protocols
Keep clinical protocols and playbooks in a searchable knowledge base.
Access control
Record-level visibility and TOTP multi-factor auth decide who sees what.
Documents
Store files in Drive with version history and a built-in editor.
AI that respects patient privacy
Ask LinearPilot to summarize a note or surface what a form captured. Sensitive fields are masked before anything reaches the named AI provider, which processes it under no-training terms.
- Summarize notes and documents with sensitive fields masked
- Answers respect record-level visibility
- Key record changes written to the audit trail
Consent forms, treatment agreements, privacy acknowledgments — signed on the clipboard
PAdES-B-LT signatures on every acknowledgment, with an embedded timestamp and a verifiable audit trail. The signed PDF attaches to the patient's file in Drive.
- Privacy notice and treatment consent in one signed flow
- Templates prefilled from the data you already captured
- Clinician review and countersign in the same workflow
How clinical teams use LinearPilot
Patient completes intake
A digital form captures history and consent before the visit.
Visit scheduled
Calendar syncs two-way with Google and Microsoft; the assistant drafts times to confirm.
Named provider, no training
AI summarizes notes, with the provider named and bound by no-training terms.
Tasks assigned
Follow-ups become tasks, visible only to the staff who should see them.
What's our standard follow-up for a new Type 2 diabetes patient, and can you get the visits on the calendar?
Your protocol library lists an HbA1c check every three months and an annual metabolic panel. I've drafted those follow-up visits for you to confirm — the scheduling assistant never books a slot on its own — and the sensitive fields in the patient's notes are masked before anything reaches the named AI provider, which is bound by no-training terms.
Your data stays yours
AI features are off until someone turns them on. When they are on, the text being analysed goes to the AI provider we name on our Sub-processors page, under terms that exclude it from training.
With Data Shield, names and identifiers LinearPilot detects are masked before the request leaves, and restored in the answer. Detection is automatic and not perfect, so treat it as a reduction in exposure rather than a guarantee.
Every change the AI proposes waits for explicit human approval before it happens.
Data Shield adds patient names and the Medicare Beneficiary Identifier. See Data Shield
Your Company Data
Documents, client records, financial data, internal communications — all stored securely in your LinearPilot workspace.
LinearPilot
Your workspace- Stores your documents and records, encrypted, isolated per company
- Masks sensitive fields before a request goes out; Data Shield adds name and identifier masking
- Logs every AI action, and gates modifying actions behind your approval
External AI provider
- Receives the text being analysed — including document content — and your question
- Handles it under API terms that exclude it from training their models
Healthcare AI that stays private
Sensitive fields in patient records are masked before anything reaches a named AI provider. Data Shield adds patient-name masking, and your files can stay on your own storage via the on-prem file connector.
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