Tunstall Achieves Another Industry First in Information Governance

TunstallTunstall Healthcare (UK) Ltd has become the first in its market to achieve Level 2 of the Information Governance Toolkit (IGT) as a NHS Business Partner. IGT is an online tool from NHS England developed by the Health and Social Care Information Centre (HSCIC) that enables organisations to measure their performance against information governance requirements.

Tunstall is committed to demonstrating to its customers that it has an established IG improvement programme, and that it is working to maintain and improve the company's information governance levels in line with their practices. Meeting IGT requirements enables Tunstall to satisfy the highest practical standards for handling patient identifiable information.

Tunstall's work to meet the IGT standards has also helped it to achieve ISO27001 and ISO20000 international standards for managing information security and for service management respectively.

Paul Vessey, IG/IT Security and Risk Officer at Tunstall Healthcare (UK) Ltd commented; "As a provider of services to health and social care, we’ve made a significant investment in Information Governance, prioritising the needs of our customers and assuring them that we take our responsibility towards managing their data extremely seriously. Work continues across the business to ensure Tunstall continues to improve its approach to IG."

Related news articles:

About Tunstall
Tunstall Healthcare Group is the market leading provider of telehealthcare solutions, with over 3.6 million users globally. Tunstall's solutions support older people and those with long-term needs, helping them to live independently by effectively managing their health and well-being. Its solutions have been proven effective in the world’s largest telehealthcare trial. Tunstall provides technology, services, expertise and advice to millions of people enabling them to lead independent more fulfilling lives.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...