What We Build
Projects
Our members don't just learn about health tech — they build it. Here's what MedTech for All coordinators have created at hackathons and beyond.
SurgiWatch
Detect infection early. Prevent postoperative complications worldwide.
The Problem
313 million surgeries happen each year worldwide, and postoperative complications are the 3rd leading cause of death — with infection as the #1 driver. Once patients are discharged, there’s no monitoring, no warning, and no chance to intervene. Preventable complications cost 4.2 million lives and $41.3 billion in hospital readmissions annually.
The Solution
SurgiWatch is a multimodal at-home postoperative monitoring system combining a low-cost wearable device for continuous vitals, smartphone-based surgical wound imaging, and AI-powered data synthesis. The patient app provides a simple “wear it and leave it” experience, while the physician dashboard delivers smart alerts that reduce alert fatigue — flagging only when action is needed.

3–5 days
Earlier infection detection
~45%
Fewer preventable readmissions
$150M
Potential annual savings
Team
MedTech for All coordinator: Keer Zhang
PocketSage
An offline AI health companion designed for low-connectivity regions.
The Problem
Digital health fails in low-connectivity environments — rural areas, refugee camps, disaster zones, and traveling communities have no reliable internet. Billions of people lack access to basic medical guidance when they need it most. A mother in Chad with a feverish child and no cell signal has no way to know if it’s a cold or early malaria.
The Solution
PocketSage is an offline-based, lightweight, knowledge-distillation edge AI that runs entirely on a phone without internet. It guides users through symptom assessment questions and delivers evidence-based triage recommendations with urgency levels — all in their local language. When connectivity returns, it syncs anonymized data to support epidemiological surveillance.

100%
Offline functionality
2 min
Symptom assessment time
~$47.5M
Total addressable market (B2B)
Team
MedTech for All coordinator: Sophia Cha
chronochart
AI-native medication timeline for psychiatry.
The Problem
Psychiatric medication history is buried in EMRs. 50% of psychiatric patients are non-adherent to their medications, over 50% switch medications every year, and 80%+ of clinical data is unstructured free text. Existing AI tools focus on post-encounter documentation — the clinician still enters each visit blind, with no medication context or history synthesis.
The Solution
chronochart flips the AI workflow: instead of documenting after the visit, it ingests the full patient chart — including unstructured notes — before the encounter. It builds an interactive medication timeline showing dose intensity, adverse effects, drug interactions, adherence gaps, and clinical notes over time. A patient similarity graph helps clinicians find precedent from analogous cases, enabling faster decisions and safer prescribing.

$600M
Total addressable market
80%+
Clinical data is unstructured
50%
Psych patients non-adherent
Team
MedTech for All coordinator: Wilson Yeh
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