Route abnormal scan findings to the right specialist fast
Each morning, WebRun opens Sonio, finds finalized reports carrying an abnormal or flagged finding, drafts a referral note in Outlook to the appropriate specialist for a clinician to approve and send, and posts the MFM team a Slack summary so every finding is routed the same day.
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How do I route abnormal ultrasound findings to specialists quickly and safely?
WebRun opens Sonio each morning and finds finalized reports with an abnormal or flagged finding. It matches each to your referral pathway, drafts a specialist referral in Outlook left unsent for a clinician to approve, and posts the MFM team a Slack summary ranked by urgency, so no flagged finding waits and no data leaves without approval.
- Flagged findings reach the right specialist the same day, not next week
- Clinicians approve a ready referral instead of writing each one from scratch
- No protected health information leaves the clinic without human approval
Built for maternal-fetal medicine specialists · MFM care coordinators · high-risk OB clinics · prenatal diagnosis units
What does WebRun do on every run?
The exact actions WebRun takes, in order - in plain language, so you can adjust anything.
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WebRun signs in and gets to work
Opens
app.sonio.aiin a real browser with your saved login - no setup, no API keys. -
1
Sonio - find flagged report findings
sonio.ai How to Automate Sonio
WebRun opens Sonio to find finalized reports with an abnormal finding. - Open Sonio and list reports finalized since the last run
- Read each report for an abnormal finding or a flag that calls for specialist referral
- Match the finding to the referral pathway your clinic uses, for example cardiology, genetics, or neonatology
- Capture patient initials, the finding, gestational age, and the intended referral destination
Done when Every finalized report with a flagged finding is listed with its intended referral pathway.
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2
Outlook - draft the specialist referral
microsoft.com How to Automate Outlook
WebRun drafts each specialist referral in Outlook, left unsent for clinician approval. - Draft a referral note in Outlook addressed to the matching specialist for each flagged finding
- Summarize the finding and the reason for referral clearly and professionally
- Attach nothing and share no protected health information beyond the note until a clinician approves it
- Leave every referral as an unsent draft for a clinician to review, complete, and send. Do not send any referral automatically
Done when A referral note is drafted in Outlook for each flagged finding, awaiting clinician approval.
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3
Slack - alert the MFM team
slack.com How to Automate Slack
WebRun posts an internal summary of flagged findings to the MFM team. - Post an internal Slack summary to the MFM team of the day's flagged findings
- For each, name the referral destination and whether a draft is ready, using patient initials only
- Put the most time-sensitive findings first so a clinician can approve and send quickly
Done when The MFM team has a same-day Slack list of flagged findings and their referral status.
How is each run configured?
Secure by default
Connect once, stays signed in
WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.
Every action is checked against this policy before it runs.
Questions, answered
Will it send patient information to an outside specialist on its own?
No. WebRun drafts the referral in Outlook and leaves it unsent. A clinician reviews it, confirms the wording and the recipient, and sends it, so no protected health information leaves the clinic without human approval.
How does it decide a finding needs a referral?
It reads each finalized Sonio report for an abnormal finding or a flag that your referral pathways call for, then matches it to the right specialty. You define which findings and destinations it should route in the plan.
What if the same finding was already referred?
It only reads reports finalized since the last run, so a finding already handled is not routed again. The Slack summary also shows each item's status so your team can see what is already in progress.
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