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Aisthesis Medical

Aisthesis Medical offers VIOSync®, an AI‑driven clinical decision support platform that predicts sepsis up to 48 hours before onset. It integrates multimodal data from EHRs, monitors, labs, and wearables to create digital patient twins and provides explainable alerts with protocol‑based guidance. The solution aims to enable earlier interventions, reduce ICU transfers, and improve operational efficiency in hospitals.

London, United KingdomFounded 202271K+ followers
Updated 20 months ago

Funding

Funding not disclosed

R
Funding rounds are not available yet.

Founders

Product

Problem

Sepsis is a leading cause of death in hospitals, often resulting from delayed detection and intervention. Current methods for monitoring patients in acute care settings may not provide timely or comprehensive insights into a patient's risk of developing sepsis or multi-organ dysfunction. Inappropriate antimicrobial therapy and delays in treatment contribute to increased mortality rates and healthcare costs.

Solution

Aisthesis Medical's VIOSync is an AI-powered clinical decision-support system designed to predict sepsis and multi-organ dysfunction by synthesizing multimodal data. VIOSync integrates with existing electronic health record (EHR) and patient data management systems (PDMS) via IHE/HL7 standards to create a digital patient twin. This digital representation enables comprehensive risk assessment across medical-surgical wards, ICUs, and emergency departments. By providing actionable insights, VIOSync facilitates swift interventions, optimizing patient journeys from admission through treatment to discharge.

Target Audience

The primary target audience includes hospitals, acute care facilities, and healthcare providers seeking to improve sepsis detection and patient outcomes.

Features

  • Integration with EHR/PDMS via IHE/HL7 standards for seamless data ingestion
  • Multi-modal data fusion to create a digital patient twin for personalized pathology prediction
  • Comprehensive risk assessment across various acute care settings
  • Multi-cause deterioration prediction via explainable AI
  • Actionable insights for timely clinical intervention
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