Sent Home During the Deadliest Window

One-third of maternal deaths and 50% of maternal sepsis cases occur in the postpartum period — after hospital discharge when clinical monitoring stops. No validated wearable or remote monitoring tool exists for detecting postpartum sepsis, despite clear physiological markers (temperature, heart rate, respiratory rate) that could signal early infection. Standard sepsis screening tools (SIRS criteria, qSOFA) use vital sign thresholds developed for non-pregnant populations that are inappropriate for postpartum physiology, where baseline heart rate, temperature, and white blood cell counts are naturally elevated for weeks after delivery.

Maternal mortality in the US reached 32.9 deaths per 100,000 live births in 2021, with sepsis among the leading preventable causes. Most postpartum sepsis deaths are preventable with early detection and antibiotic treatment, but the current care model discharges mothers 24–72 hours after delivery with a single follow-up visit at 6 weeks — creating a surveillance gap during the highest-risk window. Disparities compound the problem: Black women are three times more likely to die from pregnancy-related causes, and rural mothers may be hours from the nearest obstetric facility.

General-purpose wearable health monitors (Fitbit, Apple Watch) track heart rate and activity but are not validated for postpartum sepsis detection and do not incorporate pregnancy-adjusted vital sign thresholds. A resting heart rate of 100 bpm that would trigger an alert in a non-pregnant adult is within normal postpartum range. Hospital-based early warning scores (MEOWS — Modified Early Obstetric Warning System) exist but are designed for inpatient use and cannot be applied to home monitoring because they require clinical interpretation and vital sign equipment. Research studies on postpartum remote monitoring are in early pilot phases with no validated algorithm for sepsis detection specifically.

Pregnancy-and-postpartum-adjusted vital sign algorithms that define sepsis alert thresholds calibrated to the physiological changes of the postpartum period. Clinical validation studies establishing the positive predictive value of wearable-detected physiological changes for postpartum sepsis. Integration pathways that connect home monitoring alerts to clinical teams without overwhelming provider workflows or generating excessive false alarms — the alert must be specific enough to trigger action.

A student team could analyze existing datasets of postpartum vital signs (from hospitals that continuously monitor patients before discharge) to develop pregnancy-adjusted SIRS thresholds and test their discrimination between septic and non-septic postpartum patients. Alternatively, teams could design a prototype wearable alert system using commercially available sensors (temperature, pulse, respiratory rate) with postpartum-specific detection algorithms, and evaluate against published case series of postpartum sepsis presentations. Relevant disciplines: biomedical engineering, clinical informatics, data science, obstetric medicine.