May 17, 2020

UHC, Datix to install new patient Net®/Datix (PSN/Datix) solution at WVU Healthcare

UK-based provider of patient safety technology solutions
1 min
UHC, Datix to install new online Datix incident reporting system at WVU Healthcare.png
UHC along with Datix, a UK-based provider of patient safety technology solutions, has decided to install its new patient Net®/Datix (PSN/Datix) sol...

UHC along with Datix, a UK-based provider of patient safety technology solutions, has decided to install its new patient Net®/Datix (PSN/Datix) solution at WVU Healthcare.

WVU Healthcare is the largest provider of healthcare services in West Virginia, with facilities that treat more than 3,600 people each day.

The initial implementation of the new online Datix incident reporting system is at West Virginia University Hospital and was rolled out to more than 6,000 staff and 400 physicians in June this year.

Tamma Melton, Manager, Center for Quality Outcomes at WVU Healthcare said, “We originally started working with UHC to access data for benchmarking and reporting purposes.” Mr. Melton also said, “We looked at UHC’s patient safety net, which is one of the largest repositories of patient safety event data, plus an analytical and benchmarking tool in U.S. Therefore, we were delighted to become the inaugural site for the new UHC and Datix collaboration and PSN/Datix patient safety software.”

The main advantage of the new system will be the ability for those reporting an incident or near miss to see feedback from their manager on the investigation process.

UHC is an alliance of the nation’s leading non-profit academic medical centers, which are focused on delivering world-class patient care. Datix is the leading supplier of software for patient safety, risk management, incident and adverse event reporting.

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Jun 18, 2021

Skin Analytics wins NHSX award for AI skin cancer tool 

2 min
Skin Analytics uses AI to detect skin cancer and will be deployed across the NHS to ease patient backlogs

An artificial intelligence-driven tool that identifies skin cancers has received an award from NHSX, the NHS England and Department of Health and Social Care's initiative to bring technology into the UK's national health system. 

NHSX has granted the Artificial Intelligence in Health and Care Award to DERM, an AI solution that can identify 11 types of skin lesion. 

Developed by Skin Analytics, DERM analyses images of skin lesions using algorithms. Within primary care, Skin Analytics will be used as an additional tool to help doctors with their decision making. 

In secondary care, it enables AI telehealth hubs to support dermatologists with triage, directing patients to the right next step. This will help speed up diagnosis, and patients with benign skin lesions can be identified earlier, redirecting them away from dermatology departments that are at full capacity due to the COVID-19 backlog. 

Cancer Research has called the impact of the pandemic on cancer services "devastating", with a 42% drop in the number of people starting cancer treatment after screening. 

DERM is already in use at University Hospitals Birmingham and Mid and South Essex Health & Care Partnership, where it has led to a significant reduction in unnecessary referrals to hospital.

Now NHSX have granted it the Phase 4 AI in Health and Care Award, making DERM available to clinicians across the country. Overall this award makes £140 million available over four years to accelerate the use of artificial intelligence technologies which meet the aims of the NHS Long Term Plan.

Dr Lucy Thomas, Consultant Dermatologist at Chelsea & Westminster Hospital, said: “Skin Analytics’ receipt of this award is great news for the NHS and dermatology departments. It will allow us to gather real-world data to demonstrate the benefits of AI on patient pathways and workforce challenges. 

"Like many services, dermatology has severe backlogs due to the COVID-19 pandemic. This award couldn't have come at a better time to aid recovery and give us more time with the patients most in need of our help.”

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