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Players conquer land. Scientists get the whole stream.
I built AquaPulse so people can report river pollution with a photo, see nearby reports on a map, and join local cleanup activities.
Parkinsons detection revolutionized
AI reads the note. Rules check the records. The reviewer decides.
Turn citizen stream observations into reviewed evidence and a clear next check, helping communities and researchers focus freshwater investigations and protect ecosystem health.
An evidence-guided environmental investigation engine that turns citizen water observations into competing hypotheses, uncertainty analysis, and the next-best evidence to collect.
A citizen-science stream assessment that speaks a health-data standard.
StreamProof grades and verifies citizen stream reports and writes them in OneAquaHealth's own FHIR profiles, with a machine readable rule for what each trust level may be used for.
An empirical portability audit and formal HL7 FHIR extension of the European OneAquaHealth stream health toolchain for tropical Lagos, featuring an offline PWA and ML transfer test.
A citizen-powered platform that combines calm routing, environmental risk detection, AI verification, and public-health reporting.
One Health early warning for urban streams: citizen checks and forecasts become FHIR risk alerts for GPs via CDS Hooks, with an AI duty officer drafting human-approved advisories.
AI-assisted, human-verified stream assessments: volunteers photograph streams, confirm every AI suggestion, and export provenance-tracked FHIR data researchers can trust.
Citizen stream measurements, reviewed by humans and mapped to FHIR for trustworthy One Health research.
Volunteers name what lives in their stream, an AI double-checks them without seeing their answers, and published rules turn it into a health reading.
ClearPath uses AI to connect patients and doctors in one shared workspace, helping care teams coordinate treatment, flag medication conflicts, and streamline prior authorizations.
Insurance formularies change quietly. We watch real data, find what changed, and tell doctors exactly which patients are affected and what covered switch to make.
In three years, 18 US states alone reported 389 human and 413 animal illnesses from harmful algal blooms. Verdant shows water managers where to sample first and turns shore reports into evidence.
Turns citizen stream observations into explainable, FHIR-native One Health intelligence for people, animals, and ecosystems.
A second look for citizen stream assessments: explained consistency and weather checks, the citizen decides, FHIR R4 export for OneAquaHealth.
Semantic decision layer bridging aquatic environmental surveillance with hospital EHRs using HL7® FHIR® R4, CDS Hooks 1.0, and SNOMED CT to deliver real-time exposure context.
Empowering citizen scientists with real-time computer vision to turn everyday stream observations into validated, decision-ready freshwater health intelligence.
Voice-first, explainable clinical triage support that combines local EBM decisions, safety guardrails, calibrated uncertainty, and optional zero-PHI AI explanations.
Learn to Spot Creek Damage, Then Report It!
