Monthly Archives: January 2019

Artificial intelligence in clinical trials for the NHS


The new artificial intelligence has the ability to keep the old people who have dementia out of the hospital as their condition can be monitored remotely. Recently the Univerisity of Surrey came up with a new technology which can be used to identify and assist in reducing the occurrence of the urinary tract infections and other common issues which make the old people to regularly go to hospitals.

Through the NHS clinical trial which was conducted by the scientists from the vision, speech, and signal processing center in the university they used a unique algorithm in searching for signal for any infections. In this case, they used the machine learning algorithms so that they could identify early symptoms of the urinary tract infections according to the signals which were found early. This study was part of the second part of the dementia project for the technology integrated health management which was conducted by borders partnership with the NHS foundation trust and Surrey.

This project which was part of the NHS test beds program was last year awarded an extra amount of one million from Life sciences and NHS England. This was after the initial trial revealed that a high number of reduction of the neuropsychiatric symptoms from the 400 people who were involved in this survey.
Currently, the TIHM is aiming in supporting the people who have dementia by assisting the medical experts to identify all the health issues before one is needed to visit a hospital. In this new technology, a network of devices which are enabled with internet will be installed in your home with a machine learning system which will then reveal when a person who has dementia will require support.
A recent study which was conducted by the journal POS ONE revealed that the algorithms have the ability to detect any night time activity and body temperature rise in a patient, therefore being able to diagnose successfully the urinary tract infection.

The data which was streamed from the devices at the patients such as monitoring sensors and the devices for tracking important signals were immediately analyzed by the machine learning techniques. Any health issues which were found had to be flagged to a digital dashboard so that the clinical team could follow them. At CVSSP you will get Professor Payam Barnaghi who is an expert of machine intelligence who said that they had developed a piece of equipment which had the ability to identify the UTIs risks so that they can be treated at an early stage.

He said that they were confident that their algorithm was going to be a valuable tool especially for the professionals in healthcare so that they could be able to come up with more personalized and effective plans for all patients.

The director of CVSSP, Professor Adrian Hilton, added to this by saying that machine learning had the ability to offer improved care for the individuals who are living with dementia so that they can remain home. This can enable them to reduce hospitalization bills and also assist the NHS to free up some of the bed space. The results which were revealed last year by neuropsychiatric trials showed that the patients who are involved in this trial had lower levels of irritability, anxiety, agitation, and depression.
This in-home equipment can also be used to identify in case a patient is dehydrated, has high blood pressure or has moved out of his/her home.

The TIHM is part of the NHS test beds programme which was established in September 2016. This study got funding of 4.4 million in the first phase and for the second phase, it’s expected to receive funding of 1.08 million. As revealed by Borders partnership and Surrey this is the first program not only in the UK but also worldwide in using the internet of things intervention system so as to offer support for the management of dementia within the community.