MEMORI
An AI-enabled Clinical Decision Support tool seamlessly integrated with your hospital's EPR, empowering clinical teams to detect deteriorations in patients with acute neurological injuries and/or neurological conditions earlier.
Problem
1 in 5 patients will develop a hospital acquired infection during their stay, increasing LOS and adding pressure to overstretched clinical teams
¹ NICE (2016). Healthcare-associated infections
Healthcare-associated infections Quality standard.
6-15%
of inpatients develop a hospital acquired infection.⁽¹⁾
² Arefian, H., Hagel, S., Fischer, D., Scherag, A., Brunkhorst,
F.M., Maschmann, J. and Hartmann, M. (2019). Estimating
extra length of stay due to healthcare-associated infections
before and after implementation of a hospital-wide infection
control program. PLOS ONE, 14(5), p.e0217159.
³ Guest, J.F., Keating, T. and Gould, D. Modelling the annual
NHS costs and outcomes attributable to healthcare-associated
infections in England, BMJ Open 2020:10
8-12 days
in increased length of stay after a complication⁽²⁾, impacting patient flow across healthcare systems equating to 7.2-10.8M bed days.⁽³⁾
⁴ TheyWorkForYou. (n.d.). Hospital Beds: Costs.
~£10bn
in direct costs for the NHS arising from longer length of stay and cost of care.⁽⁴⁾
⁵ Schreiber, P.W., Sax, H., Wolfensberger, A., Clack, L. and
Kuster, S.P. (2018). The preventable proportion of
healthcare-associated infections 2005–2016: Systematic
review and meta-analysis. Infection Control & Hospital
Epidemiology, 39(11), pp.1277–1295.
35-55%
of infections are avoidable through earlier detection and intervention⁽⁵⁾
Solution
MEMORI is an AI Clinical Decision Support tool that helps detect emerging risks in patients
Certified as a Class IIb Software-as-a-Medical Device (EU:MDR)
Co-designed with clinical teams
Fully embedded into EPR and workflows
Explainable AI to build trust
Software-as-a-Medical Device
Features
1
Real-time visualisation of key trends
2
Hospital's defined next best actions
3
Intelligent alerting to address alert fatigue
4
Explainable AI to build trust and transparency in supported decision-making
5
Time-aware to understand when a patient’s health changes
Compliance, safety, and AI-bias detection
MEMORI is regulated as a Class IIb Software-as-a-Medical Device.
In addition, Sanome adheres to the latest healthcare safety and quality standards such as DSPT, ISO14971:2019, EN62304: 2006, EN82304-1:2016, ISO13485 and IEC62366 and GDPR.
Sanome has a rigorous testing framework for our machine learning models (MLOps) which includes tests for architectural robustness, adversarial robustness, domain shift, and explainability. Robust assessments help ensure our models minimise any AI bias.
Integration
Integration with hospital EPR systems is essential for easy adoption and to reduce workload for clinical teams.
MEMORI works with any system and easily connects to existing EPRs and health technologies like virtual wards or care management platforms.
Designed for interoperability, MEMORI can handle data from various sources and protocols, enhancing its ability to support clinical decisions.
FAQs
How can I learn more about MEMORI?
Contact us – we can provide you with more information on our progress, and how you can be part of the journey.
Is MEMORI deployed on premise or in the cloud?
We offer flexible deployment options to suit your organisation’s needs. Our solutions can be deployed in the cloud, providing scalability and accessibility, or on-premises for those requiring full control over infrastructure and data security.
What EPRs can your solution integrate with?
We can integrate seamlessly with any EPR that uses common interoperability standards such as HL7v2, FHIR.
How do you keep your platform secure?
Our platform uses robust encryption protocols and role-based access control to ensure the highest levels of data security. Our platform is designed with GDPR principles embedded from the outset, prioritising privacy and compliance. We assess and enhance our security measures on a regular basis to monitor emerging threats. Additionally, the company holds certifications such as DSPT and Cyber Essentials.
How does Sanome minimise AI bias?
Sanome has a rigorous testing framework for our machine learning models (MLOps) which includes tests for architectural robustness, adversarial robustness, domain shift, and explainability. Robust assessments help ensure our models minimise any AI bias.
How does MEMORI impact the NHS workforce?
We strive to empower clinicians by supporting clinical decision making. This decreases cognitive burden and allows teams to reinvest that time into patient care.
Are there any financial benefits to Trusts?
The prevention of patient deterioration positively impacts a hospital’s average length of stay, and thus bed capacity. This presents the opportunity to increase elective activity, get Trusts closer to the 107% needed to access the Elective Recovery Fund, and generate the income needed to reinvest into their services.
How does MEMORI support population health?
The current demand for health services drastically outweighs the system’s capacity. Earlier detection and prevention of deterioration keeps patients out of hospital and decreases the care burden.
What's MEMORI's impact on health inequalities?
MEMORI seeks to positively contribute to the eradication of health inequalities, as we aim to champion prevention and mitigate against digital exclusion by delivering cutting-edge AI to all, regardless of their digital literacy.