From 15 minutes to 15 seconds. Rebuilding patient intake for a pain medicine practice.
Every drug screen, read and assessed before you open the PDF.
From 15 minutes to 15 seconds. Rebuilding patient intake for a pain medicine practice.
How we replaced a multi-system manual workflow with one invisible, HIPAA-grade pipeline. And gave the front desk their day back.
A multi-location pain medicine practice was bleeding hours every day to manual data entry. Front-desk staff retyped iPad intake forms into the EMR by hand.
Patient data lived in three systems that disagreed with each other. Appointment reminders were ad-hoc. Lab results sat in inboxes. And every workaround quietly added HIPAA risk.
An integration platform sitting underneath their existing tools. Invisible to staff, doing the work of three admins.
- Zero-touch intakeiPad form to patient record to EMR chart to insurance coverage, in under 30 seconds.
- Smart duplicate detectionReturning patients get updated, not duplicated. Every change logged.
- Two-way EMR syncChanges in the chart flow back to the database in seconds.
- Automated appointment remindersEligibility-checked SMS and email, seven days a week, with strict no-double-send guarantees.
- Lab and follow-up note capture67,000+ historical drug screens and 25,000+ provider notes migrated and structured.
- Full audit trailEvery field change, every patient, timestamped and sourced.
- EHR integration
- Multi-system sync
- HIPAA architecture
- Audit trail
- Data migration
- Eligibility verification
Every drug screen, read and assessed before you open the PDF.
How we replaced 120 hours a month of manual confirmation review with an AI clinical assessment your staff can actually trust.
A urine drug screening clinic was drowning in PDFs. Every confirmation result required a clinician to open the report, pull up the patient's prescribed meds, cross-reference their intake notes, rule out expected positives, and write a clinical comment.
Five to ten minutes per result, hundreds of times a month. Meanwhile, external facilities were calling for answers on reports nobody had opened yet.
An AI pipeline that does the reading and the reasoning, then hands staff a finished assessment to verify.
- Auto-ingests every new PDFThe moment it lands. No queue, no manual upload.
- Extracts the full result panelAnalytes, metabolites, validity markers. Structured, queryable.
- Pulls patient medication contextPrescribed meds, MAT regimens, self-reported use, intake history.
- Reasons clinicallyRules out expected positives (oxycodone for an oxycodone Rx, norbuprenorphine on Suboxone). Flags true unexpected findings (non-prescribed benzos, fentanyl in MAT, validity failures).
- Writes the comment for staffPlain-English, chart-ready, with reasoning visible. Clinicians verify or override in seconds.
- Lives where they already workResults land in the existing tracking sheet. No new tool to learn.
The AI is a partner, not a decision-maker. Staff own the call. They just start from a finished draft instead of a blank page.
- Clinical AI reasoning
- Document ingestion
- MAT-aware logic
- Chart-ready output
- BAA-covered LLM
- Human-in-the-loop