Healthcare professionals operate without the feedback loops that drive excellence in other high-stakes industries
of U.S. internal medicine residents report "almost never or only sometimes" learning how their patients fared ultimately
AHRQ Research, 2019
Emergency physicians receive outcome feedback on only ~15% of their cases
Emergency Medicine Research, 2020
discrepancy rate found between initial ED diagnoses and hospital discharge diagnoses
BMJ Quality & Safety, 2021
Transforming healthcare through intelligent feedback loops and continuous learning
Advanced NLP extracts insights from clinical notes, connecting care decisions to patient outcomes
Transform patient interactions into learning opportunities with tailored feedback
Continuous monitoring enables immediate course corrections, preventing adverse events
"Timely feedback helps clinicians adjust decision-making and improve accuracy."
AHRQ Digital Healthcare Research
"Without outcome feedback, physicians remain miscalibrated about their diagnostic accuracy."
Clinical Psychology & Diagnostic Research
Three integrated stages that transform healthcare delivery through intelligent feedback
Seamlessly integrate with EMR systems to capture clinical decisions and patient data
Analyze outcomes against evidence-based benchmarks using advanced AI algorithms
Provide actionable feedback and learning opportunities to improve future decisions
EpiphAI transforms healthcare quality through AI-driven feedback systems with proven impact potential
Healthcare AI market (38% CAGR)
Quality management market
Expected ROI potential
Insurers direct patients to providers with better outcome scores
Enhanced quality metrics through continuous feedback loops
Decrease clinical uncertainty and improve confidence
Reduce costs from medical errors and inefficient care
Combining deep healthcare expertise with cutting-edge AI innovation
Partner with us at the pre-seed stage to develop AI-driven clinical feedback solutions that will improve patient outcomes and healthcare quality
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