Daily steps · Maria A.−15%
Behindtypical recovery
Typical recoveryMaria A.
Now onboarding orthopedic practices
Know which post-op patients need you today.
MedPull reads every patient's wearable data and check-ins, compares them with each patient's normal, and tells your team who needs attention, and why.
Backed by
Built for the surgeries you do most
- Total knee replacement
- Total hip replacement
- ACL reconstruction
- Meniscus repair
- Rotator cuff repair
- Lumbar decompression
- Ankle fracture repair
Your team doesn't need another dashboard. It needs the answer.
Monitoring tools show every patient's data and leave the reading to your staff. MedPull reads it for you.
A monitoring dashboard240
to reviewone chart at a time
Every patient gets a wall of charts, and someone on your team has to look through all of them.
MedPull3
need you todaysorted, with the reason
MedPull checks each patient against their own normal and puts the three who need you on top.
Four views. One calm morning.
From the patient's check-in to your team's next step.
Check-ins by text, link, or app
Your team sends a check-in. Patients answer a few quick questions about pain, swelling, fever, sleep, and exercises.
- No download needed. Patients can reply right in their texts.
- Red flags reach your team. Fever, drainage, redness, or pain of 8+ alerts the care team.
- Voice in the app. Patients can talk through a check-in instead of typing.
Recovery check-in
Text message
No
Yes
High risk
Pain 7, heart rate above her normal
Who needs you today, and why
Patients are grouped by risk with the reason written out. An AI briefing tells you where to start.
- Four clear groups. High risk, Needs review, Missing data, On track.
- Ask anything. Type a question about your patients and get an answer.
- Act from the list. Message, assign recovery tasks, or escalate.
Patient list
3 need you
Today's briefing. Start with Maria Alvarez: resting heart rate is up and pain jumped to 7.
MA
Maria Alvarez
Knee replacement, day 14
Resting heart rate above her normal
High riskToday
JW
James Whitfield
ACL reconstruction, day 21
Wearable synced only 2 of the last 10 days
Missing dataToday
RO
Rachel Okafor
Rotator cuff repair, day 9
Walking 15% less than expected
Needs reviewThis week
SN
Sofia Nguyen
Hip replacement, day 33
Recovering as expected
On trackRoutine
Two weeks of recovery, read in seconds
Each patient page opens with an AI recovery summary, next steps, and three headline metrics picked for their procedure.
- Scores follow set rules. The AI writes the summary. It never sets scores.
- Their own normal. Vitals are compared with the patient's pre-surgery levels.
- Not a diagnosis. Everything is for your clinicians to review.
MA
Maria Alvarez, knee, day 14
Written by AI
Recovery has stalled this week. Daily steps are 15% behind a typical knee replacement recovery, and her resting heart rate has been above her normal for three nights. Pain is up to 7 with new swelling. Worth a call today.
Steps vs. usual
0.7× Stalled
Resting heart rate
+9 bpm
Exercises done
86% OK
FlagResting heart rate above her normal for three nights.
WatchProgress has stalled. This week's steps are 30% below her usual.
Monitoring signals for clinician review — not a diagnosis.
24 recovery metrics, in plain terms
Beyond steps and heart rate: overdoing it, limping, poor sleep, skipped exercises, and more.
- Plain statuses. Each metric shows Flag, Watch, OK, or Needs data.
- Picked per patient. The three most relevant metrics show first.
- One warning score. Heart rate, temperature, breathing, and more, combined.
MA
Recovery metrics · Maria A.
Knee, day 14
Steps: this week vs. usual0.7×Watch
Uneven walking (limp)12%Flag
Time awake at night1.6×Flag
Exercises done86%OK
Change from her normalElevated
SignalHow much it drives the changeShare
Heart rate38%
Skin temp24%
HR variability20%
Breathing10%
Steps8%
From before surgery to full recovery
Wearable signals and check-ins, read the way a clinician would.
Daily steps · Maria A.−15%
Behindtypical recovery
Compared with a typical recovery
Steps and walking speed are compared with how that surgery usually goes, so a stall shows up the day it starts.
Supported wearables8
Works with the wearables they have
Apple Health, Oura, Fitbit, Garmin, WHOOP, Withings, Polar, and Dexcom.
Steps this week vs. usual1.6×
Too muchvs. last 4 weeks
Too much, too soon
This week's steps are compared with the last four. Overdoing it gets flagged, and so does a stall.
Change from normalElevated
Compared with their own normal
Resting heart rate, heart rate variability, skin temperature, and breathing are compared with each patient's pre-surgery levels.
No wearable data · James W.4days
Missing data is a signal
When a wearable goes quiet, MedPull says so instead of assuming all is well.
From their wearable to your short list
No one on your team has to chase data down.
-
1
Patients connect
They link Apple Health or their wearable. Pre-surgery data sets their normal.
-
2
MedPull compares
Vitals against their normal, steps against a typical recovery, plus check-ins and 24 recovery metrics.
-
3
Your team acts
A ranked patient list and an AI briefing. Message, assign tasks, or escalate from one screen.
We didn't start from scratch.
Before MedPull was a Recovery Copilot, we built an AI intake platform for community health centers. That work taught us how patients actually answer, and what clinicians need to see.
2025
Conversational intake
Patient conversations for community health centers.
2026, today
AI Recovery Copilot
Wearable monitoring and check-ins for orthopedic recovery.
24Recovery metrics
8Supported wearables
7Surgeries supported
Built for clinical care
MedPull surfaces and summarizes. Your clinicians make the calls.
Numbers from rules, not AI
Every score and risk group comes from fixed clinical rules. The AI only writes summaries and drafts.
Red flags reach a person
Fever, drainage, redness, or pain of 8+ alerts your care team, and so does a patient turning High risk.
No data, no guess
When wearable data is sparse, MedPull says Missing data instead of guessing.
Not a diagnosis
Monitoring signals for clinician review. MedPull shows where to look, and why.
How is this different from a remote monitoring dashboard?
A dashboard shows everything and leaves the reading to your staff. MedPull checks every patient's wearable data and check-ins against their own normal and a typical recovery, then gives you a short list grouped by risk, with the reason written out.
Which procedures do you support?
Total knee and hip replacement, ACL reconstruction, meniscus repair, rotator cuff repair, lumbar decompression, and ankle fracture repair, plus a general recovery plan. Each has its own typical recovery path.
Do patients need an app?
No. Patients can answer check-ins by text or through a link. The optional iPhone app adds Apple Health syncing and voice check-ins.
Which wearables work?
Apple Health (through the iPhone app), Oura, Fitbit, Garmin, WHOOP, Withings, Polar, and Dexcom. MedPull uses steps, walking speed and evenness, heart rate, heart rate variability, sleep, skin temperature, blood oxygen, and breathing rate.
Does it connect to our EMR?
Not yet. EMR integration is on our roadmap. Tell us which EMR you use and we'll keep you posted.
Does the AI make clinical decisions?
No. Scores and risk groups come from fixed clinical rules. The AI writes summaries and message drafts for your team to review. Everything is for clinician review, not a diagnosis.
Is patient data secure?
Data is encrypted in transit and at rest, and wearable data comes through Junction, a HIPAA-ready health data platform. Before any real patient data is shared, we'll walk your team through HIPAA and BAA requirements.
See it with your own patients.
We're onboarding a small group of orthopedic practices. Tell us how post-op follow-up works for you.