Technology Offers Safety Net for More Vulnerable People

TunstallNew technology to help keep older and disabled people safe at home is being extended to even more people in Nottinghamshire today. Nottinghamshire County Council's 'Telecare' service will be available countywide from 3 October as part of a new partnership with leading tele-healthcare provider Tunstall.

The technology links a range of sensors in the home to a 24 hour monitoring centre. The sensors include:

  • Home safety sensors - smoke, carbon monoxide, flood and heat alarms, which can be useful for people with dementia who may not realise the significance of a standard alarm or who forget to turn off the taps or cooker.
  • Property exit sensors which can alert the monitoring centre if a person with dementia wanders away from their home at an inappropriate time.
  • Fall Detectors which automatically send an alert to the monitoring centre if a person experiences a blackout and falls.
  • Bed occupancy monitors which alert if a person hasn't returned to bed during the night, perhaps because they have fallen on the way back from the toilet.
  • Night time epilepsy sensors which alert if someone has a seizure whilst in bed.

A completely new service will also be available for unpaid carers across Nottinghamshire as part of the contract with Tunstall. The service offers similar equipment to 'Telecare', but the alerts will go directly to a portable pager unit which the carer can carry with them at home or keep by their bed. This will allow them to get on with jobs around the home or get some sleep without having to keep a constant eye on the person they care for.

Mrs Pagett from Edwinstowe has a pager unit to help her care for her husband who has Parkinson's Disease. She said: "I'm usually with my husband inside, so he can shout me if he needs me or if he falls, but it's really good if I need to go out to hang up the washing or something. I think other people would find it really useful."

Councillor Stuart Wallace, Deputy Cabinet Member for Adult Social Care and Health, said: "We're delighted to be working with Tunstall, which will mean that many more local people will benefit from this technology.

"We live in an ageing population with more and more people diagnosed with dementia each year. This technology will help many others to continue to live in their own homes and give their families peace of mind that they are protected around the clock."

Alison Rogan, Tunstall's UK Communications Director, said: "The Council's investment in a countywide tele-healthcare project underlines its commitment to transforming the lives of those living with long-term conditions, enabling a truly personalised range of services.

"Telecare promotes independence and gives carers invaluable reassurance that immediate help is on hand when needed. This enhances their quality of life and gives confidence that their loved ones are being looked after."

A small weekly charge of £2 a week is made for the 'Telecare' scheme, which uses the existing home phone line to connect the sensors to the monitoring centre. There is no other charge for this service for people who have had a County Council assessment and are eligible for social care support or carer services.

For further information about 'Telecare' visit: www.nottinghamshire.gov.uk/telecare or www.tunstall.co.uk

Related news articles:

About Tunstall
Tunstall Healthcare Group is the market-leading provider of telehealthcare solutions, with over 2.5 million users globally. Tunstall's solutions support older people and those with long-term needs, to live independently, by effectively managing their health and well-being. Tunstall provides technology, expertise and advice to millions of people enabling them to lead independent more fulfilling lives.

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...