Clinical decision-support systems have not been living up to the hype

First generation solutions are often associated with alert fatigue,

clunky user experience, low accuracy and ultimately poor adoption

Introducing MEMORI

Next generation AI-powered Clinical Co-Pilot to enable clinicians to identify health changes earlier

Regulated as a Class II Software-as-a-Medical Device

Clinically-deployed

AI platform

Seamless integration into existing EHR and clinical IT systems

Safe & secure

Data drift & performance monitoring

AI-powered clinical

decision-support

Intelligent risk stratification and early detection of patient deterioration

Augments existing clinical pathways and workflows

Thinks like a clinician by considering multiple data points

Clear & actionable

outputs

Suggests accurate and timely clinical action

“Explainable AI” dashboard to build trust and transparency (no black box)

Easy and simple reporting to help with real-time health trends and key patient information

First Intended Use

Hospital-acquired Infections

Impact of Hospital-acquired Infections

Millions

of cases per year

5-10%

of all hospital beds blocked

9.8 Days

Increase in length of stay

£10 Billion+

in avoidable healthcare costs

MEMORI EWS HAI helps with the early detection and prevention of hospital-acquired infections

01

Seamless integration into existing EHR

02

Continuous and adaptive monitoring of all patients

03

Risk stratification and identification of patient deteriorations

Empowers clinicians to take earlier action from existing clinical pathways

04

Explainable AI dashboard & reporting to support infection control

05

Augments existing workflows, e.g. NEWS2

06

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    Benefits

    MEMORI EWS HAI

    Improved Patient Outcomes

    Improved Patient Flow

    Improved Efficiency

    Reduced Adverse Events

    Reduced Costs

    Saved Bed Days

    Accurate and actionable clinical insights that enable clinical teams to diagnose, take action as early as possible and provide the highest quality of care

    User Stories

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