WHITE PAPER:
This meta-analysis tracks results across eight studies covering more than 34,711 patients, 19,136 of whom were monitored using the LEAF◊ Patient Monitoring System.
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.
WHITE PAPER:
Read this paper to garner the value of a transformational—not transactional—healthcare supply chain approach, 4 ways to achieve long-term supplier value, and top supply chain trends.
EGUIDE:
As CFOs prioritize increasing profitability and invest in technology and revenue cycle management, providers are excited about implementing automated technologies in this area. Read more about it in this eGuide.
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.
EGUIDE:
EHR data can aid clinical informatics research through streamlined clinical trial recruitment, public health surveillance, and health IT analytics.
EGUIDE:
Industry experts predicted a focus on AI and supply chain security as ransomware threats continue to threaten healthcare cybersecurity in 2024.
EGUIDE:
Learn from KLAS research director Monique Rasband about the importance of enterprise imaging for big providers and healthcare organizations as they consider their systems as an EHR for images.
EGUIDE:
One of the greatest healthcare security threats comes from users within an organization. In this expert handbook, John Nye shares recommendations for technologies that healthcare organizations can use to fight against insider security threats.