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Rinicare
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Research and Development

Research and Development

Stability – IRIS (May 2015 – October 2015)

Funded by EU Horizon 2020 for £50,000
Proposal Number: 672732
Project Type: Feasibility Study

Horizon-2020

IRIS (Intensive-care Risk Identification System) was a six month long Horizon 2020 funded project to analyse and develop the business opportunities for addressing the issue of pre-empting serious complications in critical care post-operative patients. The business plan included a road map for bringing IRIS to market and develop it further for use in international markets. Rinicare expects IRIS to become a significant factor in the next generation of healthcare technology. After the successful completion of the IRIS project, Rinicare is currently developing the technology further to deliver the innovation to market.

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Stability – PREDICTOR (September 2015 – August 2016)

Funded by Innovate UK for £111,576
Project Type: Feasibility Study 

Innovate-UK

Existing patient early warning score systems are basic, not patient-specific and only utilise small amounts of available, indiscreet data to identify patients at risk of deterioration or complications. The key focus of PREDICTOR is to prevent the development and reduce the severity of complications after surgery by analysing a larger volume of continuous patient vital sign data. PREDICTOR is an individual patient score compared to the general population score currently used. Post-surgery complications affects millions of patients and cost the healthcare system hundreds of millions of Euros annually.

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PRIME Phase I (March 2015 – February 2016)

Project Type: Proof of Concept
Funded by Innovate UK for £179,795

Innovate-UK

The Pre-hospital Information and Monitoring E-system (PRIME) project proposes to develop a mobile health information and monitoring platform aimed to optimise patient pathways in prehospital healthcare and ambulance services’ efficient performance. PRIME’s proof-of-concept (PoC) will assess the technical feasibility of creating an intuitive NHS compliant rich patient electronic form (eForm) that considers the requirements of the paramedics’ mobile environment, procedures and workflow, integrating real-time continuous recordings of patients’ vital signs and multimedia data (written and audio notes, images and high-definition video).

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PRIME Phase II (January 2016 – August 2017)

Project Type: Development of Prototype
Funded by Innovate UK for £499,813

Innovate-UK

Rinicare’s Pre-hospital Information and Monitoring E-system II (PRIME II) proposes to develop a mobile health information and monitoring platform aimed to optimise patient pathways in pre-hospital healthcare and ambulance services’ efficient performance. PRIME’s Development of Prototype will design and implement intuitive and rich patient electronic forms (eForms) that integrates real-time continuous recordings of patients’ vital signs and multimedia (written and audio notes, images and high-definition video), considering NHS requirements and the paramedics’ mobile environment, procedures and workflow. PRIME eForms can be seamlessly shared with remote specialists (telehealth) to assist early and accurate assessment of patients’ condition and the provision of treatment advice to paramedics on site and in the ambulance.

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SAFE (December 2015 – May 2016)

Funded by SBRI Healthcare for £99,964
Project Type: Feasibility Study

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sbri-logo

The Rinicare SAFE system if a fall detection and prevention system that uses a thermal imaging sensor and proprietary analytics algorithms to detect the potential risk level of a patient’s position in a bed, and it sends out an alert to nearby clinicians if the patient’s position is identified as high risk of resulting in a fall or an uncontrolled bed-exit. The sensor is placed on the ceiling above the bed of a patient, where the system monitors the patient’s position within the bed by identifying each position in relation to predefined position classifications. Each classification is assigned a risk level by the attending clinician based on the patient’s individual fall risk assessment to avoid false alarms.

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