How Pulse Health helped detect early complications and streamline recovery for a post-operative tibial fracture patient.
Per patient review session
Early complication detection
By 1 day avg. via timely mobilization
Patient: Liam Torres, 28y (Diagnosis: Left tibial shaft fracture, post-ORIF)
Post-operative inpatient rehabilitation transitioning to outpatient follow-up. History of asthma and smoking. Active prior to injury. The challenge was managing early mobilization while monitoring for subtle post-op complications often buried in fragmented EMR data.
On post-op day 2, pain is controlled, but PT reports light-headedness and nursing logs show borderline urine output. These findings are buried in separate EMR sections, obscuring an early pattern of hypovolemia which could delay therapy.
Query: "Summarize last 24-hour vitals, urine output, and PT tolerance — flag any indicators of hypovolemia."
Insight: Pattern consistent with mild volume depletion. Recommend oral fluid bolus and reassess ambulation readiness.
Post-op Day 6: Patient reports mild calf pain and bruising. Nurse documents slight tachycardia and darker urine. These findings are scattered, delaying recognition of potential bleeding or DVT.
Query: "Summarize anticoagulation adherence, vitals, and lab results... flag bleeding risk."
Insight: Possible early bleeding complication or developing DVT. Recommend STAT Doppler ultrasound and repeat CBC.
Day 8 post-discharge: Home health nurse notes mild drainage and redness. The note sits in the EMR without immediate review, risking delayed SSI recognition.
Query: "Show wound appearance, temp trends, and WBC changes since discharge — flag for infection risk."
| Day | Temp | WBC | Insight |
|---|---|---|---|
| Day 8 | 98.6°F | 10.2 | Healing |
| Day 10 | 100.8°F | 12.2 | Infection Suspected |
Insight: Trend suggests superficial SSI. Early response reduces risk of deep infection. Consistent with CDC postoperative wound surveillance guidelines.
4-week post discharge: Surgeon needs to evaluate healing and adherence. Data is scattered across radiology, PT notes, and home logs. Compiling this manually takes 20+ minutes.
Realize-365 automatically generates an AI-driven clinical summary:
Fracture Healing: X-ray shows early callus formation. Intact hardware. No displacement.
PT Adherence: 88% adherence. Week 3 missed session flagged for reinforcement.
Pain Trend: Reduced from 6/10 (Week 1) to 2/10. Controlled on non-opioids.
Plan: Suggest clearance for full weight-bearing at Week 6. Continue calcium supplementation.
This case demonstrates how Pulse Health unifies fragmented data (vitals, nurse notes, PT logs) to reveal hidden clinical patterns like hypovolemia.
By spotting subtle trends (HR increase, urine color change) 24-48 hours early, Pulse Health prevents serious complications like DVT or SSI.
Saving 20+ minutes per patient review allows clinicians to focus on decision-making rather than data gathering.