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Cush Health Ltd

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CUSH Health is a clinician-lead team, developing an AI-assisted remote monitoring and telehealth platform to predict and prevent deterioration in the elderly.

CRN
11098265
Founded
2017
Age
8

Overview

Legal name
CUSH HEALTH LTD
Region
Unknown
Registered address
13 WOODLANDS ROAD
WALTHAMSTOW
LONDON
ENGLAND
E17 3LD
Insolvency history
No

Company events

Reference milestones and recent Companies House filing stream events.

5 events
30 Nov
2026

Confirmation statement due

Confirmation Due

Next confirmation statement due date

30 Sep
2026

Accounts due

Accounts Due

Next accounts due date

16 Nov
2025

Confirmation statement filed

Confirmation

Last confirmation statement made up date

31 Dec
2024

Accounts filed

Accounts

Last accounts made up date

06 Dec
2017

Incorporated

Inception

Company registered at Companies House

Public funding

3 awards
First funded
2018
Funded years
2018, 2020
Age at first award
0 years

Projects

2020 Small Business Research Initiative Lead participant

The H2H Study: Sustainable Hospital-to-Home digitally enabled exercise pathways to improve older adult’s post-operative outcomes

1 Oct 2020 to 31 Dec 2020

Awarded
£59,982
Total cost £59,982

A recent Kings fund review highlighted how the National Health Service (NHS) is a significant contributor to public sector carbon emissions. The NHS accounts for 25 per cent of all public sector carbon emissions, or around 4 per cent of total emissions in England. This is greater than the annual emissions from all passenger aircraft departing from Heathro...

2018 Collaborative R&D

Automated remote monitoring of lower limb disorders to improve treatments and rehabilitation outcomes: Implementation & Testing

1 Dec 2018 to 31 May 2020

Awarded
£75,742
Total cost £108,204

CBAS is proposing to develop a Prosthetic Interface Device (PID): Digital, an innovative, continuous, system that aids in collecting data remotely for patients with mobility impairments: patients with lower limb disorders and vulnerable elderly people. PID: Digital takes advantage of the CBAS machine-learning (ML) platform. This system is used to collect ...

2018 Feasibility Studies Lead participant

Remote monitoring and analysis of gait and falls within an elderly population

1 Apr 2018 to 31 Mar 2019

Awarded
£38,079
Total cost £54,399

We would like to carry out a 6 month feasibility study using remote patient monitoring to evaluate gait and balance in an elderly population. Out aim is to develop a machine learning tool to create a discrete healthcare wearable to prevent and protect against falls and hip fractures.

Product types

Collaborative R&D Feasibility Studies Small Business Research Initiative