MedWatch
Post-operative remote monitoring, patient data from home, structured summaries for the clinical team.
A web application running on a local server that collects patient recovery data during home recovery, then surfaces structured summaries and threshold alerts for clinical teams to review between scheduled follow-ups.
The Problem
After discharge, patients recover at home for days or weeks before their next clinical contact. Complications, surgical site infections, respiratory decline, wound dehiscence, can develop silently in that window with no mechanism for the care team to know.
MedWatch closes the gap by turning the patient's smartphone and wearable into a passive monitoring channel, giving clinicians structured recovery data without requiring EHR integration. In many healthcare settings, the complexity of EHR access, governance requirements, and institutional barriers make direct system integration impractical. MedWatch is designed to operate independently of the EHR, as a lightweight, deployable remote monitoring layer.
Current Care Gap
No visibility post-discharge
Once a patient leaves the hospital, clinicians have no systematic view of how recovery is progressing at home.
Delayed symptom reporting
Patients often wait days before calling a provider, by which point minor complications have escalated.
Unplanned readmissions
Without structured home monitoring, preventable complications drive costly emergency returns and 30-day readmissions.
The Interface
Patient recovery data is presented as a triage-ready list. Status-coded summary cards summarise the cohort at a glance, and each patient row exposes their steps, sleep, and heart rate trend. Expanding a row reveals full recovery charts compared against the patient's own pre-operative baseline.
Triage view. Twelve patients sorted by status, with steps, sleep, and heart rate trend per row.
Patient detail. Expanding a row reveals steps and sleep recovery charts plus heart rate vs pre-op baseline.
How It Works
During home recovery, patients access MedWatch via their smartphone browser and log daily step count, sleep duration, and heart rate, three key physiological indicators of post-operative recovery trajectory.
Patient-entered data, step count, sleep hours, heart rate, is submitted through the web interface and stored on a local server, keeping all patient data within the institution's own infrastructure.
Wearable trends are aggregated into per-patient recovery scores and statuses. MedWatch operates as a standalone remote monitoring system, designed for situations where direct EHR integration is not feasible due to institutional, technical, or governance barriers.
The clinician dashboard surfaces alerts and recovery summaries. The team can triage remotely, calling the patient, adjusting medications, or scheduling an urgent visit, without waiting for the next appointment.
Patient Monitoring
The MedWatch dashboard sorts patients by acuity, critical cases surface at the top so the most at-risk patients are never buried in a list. Each row shows daily step progress, sleep quality, and heart rate against pre-operative baseline at a glance.
Status thresholds (Critical / Monitor / Stable) are computed automatically from wearable data trends. Clinicians can filter by status, search by name, and expand any row to see full recovery charts without leaving the dashboard.
Recovery Trends
The dashboard charts step count, sleep duration, and heart rate over each post-operative day, comparing them against pre-operative baselines and clinical targets. Trajectory is what matters, a patient at 10% of their step target on Day 3 is expected to be low, but one still at 38% on Day 76 warrants a call.
All data is collected passively by Apple Watch and synced via HealthKit, patients never enter numbers manually. The clinician sees a structured, consistent signal rather than self-reported estimates.
Threshold Alerting
Each patient has per-metric thresholds, when daily step progress falls critically below target or heart rate diverges significantly from the pre-operative baseline, the system promotes that patient to Critical status and flags them at the top of the dashboard.
Status is computed automatically from the combination of all three metrics. A patient making good step progress but sleeping poorly moves to Monitor. A patient with declining steps, poor sleep, and elevated HR triggers Critical. Clinicians can intervene remotely, calling the patient, adjusting medications, or scheduling an urgent visit, before the 30-day readmission window closes.
Why It Matters
Most postoperative complications manifest at home, not in the hospital. Structured remote monitoring creates the visibility needed to intervene early.
Post‑Op
Home Recovery Focus
Web App
Local server
3 Metrics
Steps · Sleep · HR
Live
Local Deployment