Sanome provides an AI Clinical Decision Support tool called MEMORI to help clinical teams identify emerging risks in patients with acute neurological injuries or conditions earlier. This technology empowers healthcare providers with data insights to improve patient safety and decision-making processes. The platform aims to enhance patient outcomes, optimize workforce efficiency, and reduce operational pressures within healthcare settings.
Funding
$2.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Healthcare systems are increasingly burdened by reactive care models, leading to delayed interventions and increased risks for both patients and providers. Accessing and translating clinical data for research and innovation is also challenging due to safety, ethical, and regulatory complexities. This results in slower, more expensive research and hinders the generation of real-world evidence needed to improve patient outcomes.
Solution
Sanome develops AI-powered clinical decision support tools that leverage existing hospital data to predict patient risk and facilitate earlier interventions. Their MEMORI platform integrates seamlessly into existing Electronic Patient Record (EPR) systems, providing continuous monitoring and risk stratification on general wards. CENTAURI, their data platform, empowers healthcare providers to unlock the potential of their data for clinical research, evidence generation, and business intelligence, while adhering to the highest standards of data protection and ethical research practices. By translating data into actionable clinical insights, Sanome aims to improve patient outcomes, enhance efficiency, and promote sustainability within healthcare systems.
Target Audience
The primary target audience includes clinical teams in hospitals and healthcare systems seeking to improve patient outcomes and operational efficiency, as well as researchers and healthcare providers aiming to leverage clinical data for research, evidence generation, and business intelligence.
Features
- **MEMORI:**
- AI-powered clinical decision support integrated into existing EPR systems
- Continuous patient risk monitoring and stratification
- Explainable AI to build trust and transparency in decision-making
- Real-time updates and live data on patient risk levels
- Next best action recommendations based on risk and clinical guidelines
- Key data trends displayed for efficient review
- Integration with existing hospital EPR systems using interoperability standards like HL7v2 and FHIR
- **CENTAURI:**
- Identification of suitable research cohorts based on inclusion and exclusion criteria
- Capture of near real-time live data
- Simplified analysis of historic data, including observation notes and medical images
- Investigation of adverse events and data trends
- Data download in various formats
- Validation of association research hypotheses
- Ethics-approved research database with de-identified data and strong cybersecurity measures