patient-safety

Tula is an open-source collection of OpenClaw skills, configurations, and patterns designed to transform a general-purpose AI agent into a personal health intelligence assistant.

NoHarm API for Smart Prescription Screening

MedRiskEval: Medical Risk Evaluation Benchmark of Language Models, On the Importance of User Perspectives in Healthcare Settings (EACL 2026 Industry Track)

MedFailBench exposes critical safety boundary failures in medical AI through clinician built, reproducible open source evaluation.

AI system for detecting look-alike sound-alike (LASA) drug name errors using machine learning, NLP, and clinical context validation.

Find patients who have concerning tests but no timely follow-up

A web-based visualization tool for patient-oriented anesthesia risk visualisation

Evidence-based oncology treatment pathway navigator and real-time clinical trial matcher grounded in NCCN/ESMO guidelines.

Source code for patientaider.org

A patient-safety-focused desktop AI assistant providing structured first-aid guidance using a hybrid RAG pipeline with medical-specialized embeddings and Google Gemini.

Clinical AI guardrails for Python: PHI redaction, hallucination detection, prompt injection blocking, dosage safety, and audit trails for LLMs in healthcare

Real-time AI platform for patient safety signal detection from social media | AI for Bharat Hackathon 2026 — Theme 6 | PAN IIT Bangalore Summit

Open-source evaluation framework for healthcare AI applications.

Zava Health Network: End-to-end Fabric demo — Materialized Lake Views + Fabric IQ Ontology + Data Agents + Activator. Cross-domain hospital intelligence from EHR, staffing, census, and billing data. Three workspaces, zero manual orchestration.

Continuity-aware clinical governance infrastructure for autonomous healthcare systems.

Agilemd — independent third-party profile of a public API surface, by API Evangelist. AgileMD is a clinical decision support company that embeds real-time predictive analytics and evidence-based clinical pathways directly into hospital electronic health record (EHR) workflows such as Epic and Cerner.

Hackathon prototype for patient follow-up and clinician alerts; a software demonstration, not a deployed clinical device.

Physician-curated safety prompts, guardrails, and red-team benchmarks for healthcare LLMs. Built by a doctor for AI teams shipping in healthcare.

IoMT risk education platform built from 28 years of clinical emergency medicine and lived device dependency. Real failure scenarios. No hypotheticals.

A rules-first AI medical triage and lab-result interpretation web application