EGUIDE:
President Biden's executive order focuses on the importance of secure and reliable Artificial Intelligence (AI) in various sectors, including healthcare.
EGUIDE:
By providing specialty-specific EHR training, using e-learning modules, and encouraging ongoing EHR education, healthcare organizations can help promote clinician satisfaction.
EZINE:
In this week's Computer Weekly, there's a hidden environmental cost to the vast volumes of data being generated – we examine what can be done to address it. We talk to the CISO of consumer reviews site Trustpilot, about building trust in IT security. And we look at what IT leaders can do if they inherit a toxic team environment. Read the issue now.
EZINE:
In this week's Computer Weekly, we look at the technologies needed to support deep learning and AI applications in your organisation. We hear about Southern Water's data management overhaul and the benefits achieved from centralising its data team. And we examine best practice in managing large-scale Docker implementations. Read the issue now.
EGUIDE:
In this e-guide we look at how the NHS shared care records projects are progressing, and the European Commission's plans to share health data across borders. We also look at how one NHS trust has created a social media platform to help mental health service users, and examine Scotland's digital health and care strategy.
EZINE:
The Middle East is investing heavily in IT to make life better for its population. Smart city developments are an example. But read in this issue how in the Middle East, where there is a growing population and a rise in lifestyle-related disease, IT is being used to support the healthcare system.
EZINE:
In this week's Computer Weekly, we look at the lessons learned from the ransomware attack on Travelex and how other firms can avoid the same fate. As Microsoft ends support for Windows 7, we examine the issues for the many remaining users of the operating system. And healthcare CIOs explain the tech challenges facing the NHS. Read the issue now.
EGUIDE:
Researchers have developed a machine learning (ML) tool capable of using electrocardiogram (ECG) readings to detect and classify heart attacks more quickly and accurately than standard approaches. The model was able to accurately reclassify 1 in 3 patients with chest pain based on heart attack risk. Download the article to read more.
