AI-native care operations

AI-poweredclinic operationsfor primary care.

Nidl brings the work around care into one AI-powered queue, so every request has an owner, a next step, and a path to done.

Operations queue
CEDAR-WEST FAMILY · 32 OPEN
Human review on
All 32Urgent 1Renewals 7Results 5Referrals 9
FAX
Specialist letterWP-0481
Singh, Anjali · DOB 1981-03-04
Patient notified · SMS sent
Notified1m
EMA
Lab resultWP-0482
Hernandez, Maria · DOB 1973-07-09
Suggested: Escalate · clinician review
Urgent3m
POR
Renewal requestWP-0483
Wong, Jeremy · DOB 1959-11-22
MRMaya · MOA
Picked up8m
FAX
Referral acceptWP-0484
Tremblay, R. · DOB 1948-02-12
Suggested: Notify patient · update chart
Routed12m
POR
Form returnWP-0485
Khan, Aisha · DOB 1992-08-30
Reading document
Ingestingnow
Sent to patient · SMS
Hi Maria — your TSH result has been reviewed by Dr. Lin. We’ll call you tomorrow to discuss. — Cedar West Family
Triggered: result reviewedjust now
AM
Aman picked it up
MOA · 4 min response
The gap

Your EMR holds the chart.
Nidl manages the work around care.

Today · 7 tabs deep
01Fax inbox14 unread
02Outlook28 unread
03Patient portal6 unread
04EMR scheduling11 unread
05Referral tracker (spreadsheet)4 unread
06Sticky note pile unread
07Voicemail7 unread

Each handoff loses context. Each follow-up becomes a phone call.

With Nidl · 1 queue
FAXSpecialist letterRouted
EMAILLab resultUrgent
PORTALRenewal requestAwaiting MD
FAXReferral acceptBooked
PORTALForm returnIngested

One inbox. One assignee. One next step. Status follows the work to the patient.

What it does

The work that happens
between your systems
now has a home.

FAXSpecialist letter
MAILLab result
PORTALRenewal request
FORMIntake submitted
Inbound

One queue. Every channel.

Fax, email, patient portal, web form, manual upload. OCR runs on documents. Everything lands in one place, ordered by what needs to happen next.

WP-0482RENEWAL
Wong, Jeremy
DOB 1959-11-22
Metformin 500mg · auto-renew eligible · A1C on file.
Work packet

A reviewable artifact, not a task.

Patient matched, request classified, attachments bundled, suggested next step ready. Your team confirms in one tap — or edits before sending.

ReceivedTue 10:04
Sent to specialistTue 14:22
BookedThu 09:30
Patient notifiedThu 09:31
Follow-through

Status the patient can see.

Received → sent → booked → awaiting info. Updates auto-fire by SMS or email when state changes — so the front desk stops being the help line.

At the front desk

Made for the people
actually holding the
clinic together.

Nidl sits above your EMR — built for MOAs and reviewers, not against them. Every inbound becomes a reviewable work packet with patient match, suggested next step, and a record of who decided what.

MatchPatient + chart linked before you click.
ClassifyReferral, renewal, result, document — labelled and routed.
SuggestA next step you can confirm in one tap.
TrackStatus follows from received → sent → booked.
MOA at the front desk of a Vancouver primary-care clinic
WP-0482RENEWAL
1H AGO
Wong, Jeremy
DOB 1959-11-22 · Last visit 2026-04-18
Metformin 500mg · A1C 6.4 on file (Apr). Eligible for auto-renew under Dr. Pereira’s rule.
How it works

From fax to follow-through,
in one queue.

Walk a referral or a lab result through Nidl. Five steps — no EMR changes, no clinical decisions made by the system.

  1. 01
    INGEST

    Inbound arrives.

    Fax, email, patient portal, web form, manual upload. Every channel hits one shared inbox. OCR runs on documents the moment they land.

    FAXSpecialist letterRoyal Columbian
    EMAILLab resultLifeLabs
    PORTALRenewal requestPatient · J. Wong
    FORMIntake submittedPre-visit · A. Khan
  2. 02
    MATCH
    AS
    Singh, Anjali
    MRN 0044-19 · DOB 1981-03-04 · BC PHN 9*** 4*81
    MATCH CONFIDENCE99%
    MRN + DOB + name · exact match · auto-confirmed

    Patient + chart, linked.

    Nidl matches the patient on MRN, DOB, name, and PHN. Low-confidence matches surface for MOA confirmation before anything else moves.

  3. 03
    ROUTE

    Your rules run first, then AI.

    Deterministic routing rules apply where they fit (specialist → assigned MD, abnormal labs → escalate). AI only fills the gaps, with human review on.

    RULE R-04 · MATCHED
    If source includes “Royal Columbian”
    And document type is specialist letter
    Then route to Dr. T. Pereira · review
    ✓ RULE FIRED · 0.96AI confirmed within bounds
  4. 04
    PACKET
    WP-0481REFERRAL · F/U
    Singh, Anjali
    Cardiology consult · holter 24 h · F/U 6 weeks
    SUGGESTED NEXT
    Send to Dr. Pereira · book holter · queue 6-wk F/U

    Work packet, ready to review.

    Source document + extracted fields + classification + suggested next step bundled into one screen. Your team confirms in a tap or edits before sending.

  5. 05
    CLOSE

    Status follows to the patient.

    Received → sent → booked → completed. The patient gets an SMS or email as state changes, so they stop calling the front desk for updates.

    Hi Anjali — your cardiology follow-up is booked for Thu 09:30. You’ll get a reminder the day before. — Cedar West Family
    ReceivedTue 10:04
    Sent to specialistTue 14:22
    BookedThu 09:30
    Patient notified · SMSThu 09:31
How we fit in

Nidl handles the desk.
Your scribe handles the room.

The fastest-growing AI in primary care is the in-room scribe — it drafts your visit note while you talk. Nidl never enters the room. It works the inbox that fills up after the patient walks out. The two pair cleanly, share one audit chain, and answer different halves of the same admin-burden problem.

In the room

Your scribe.

Listens to the visit. Drafts the SOAP note. Hands the chart back ready for signature — usually within minutes of the patient leaving.

  • Visit transcription + dictation
  • SOAP / problem-oriented notes
  • Patient-facing visit summary
After the visit

Nidl.

Routes every inbound — referrals, results, forms, renewals — through MOA + AI pre-handling so the inbox never builds up.

  • Inbox triage + patient matching
  • Standing-rule auto-approval
  • Patient status messaging
  • Form drafting + auditable history
Scribe partners5 supported

The scribes BC clinics
already use — Nidl pairs with all of them.

HeidiAU · widely used in BCTaliCanadian-hostedMutuo · AutoScribeCanadianSukiUS · OSCAR-friendlyFreedUS · SOAP-first
One audit chain across both tools.
Scribe drafts and Nidl follow-through land in the same hash-chained log. One paper trail from the room to the chart to the inbox, end-to-end.
Trust posture

AI assists.
Staff decide. Always.

Canada-only PHI

AWS / Azure Canada Central. PIPA-first, PHIPA-ready.

Human review on

Low-confidence items always require staff confirmation.

Operational only

No diagnosis, no prescribing, no clinical decisions.

Audit by default

Every read, write, and export is logged with actor + trace ID.

BC pilot · 3 to 5 clinics · 90 days

90 days. Measurable
admin time saved.
Or scope reset.

Three to five community primary care clinics in BC. Co-designed workflows, white-glove onboarding, no EMR replacement, Canadian hosting from day one.