EGUIDE:
As challenges persist, half of healthcare leaders plan to invest in new revenue cycle management technology in the next 12 to 18 months. Read more about it in this eGuide.
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.
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, 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:
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.
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.
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:
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.
EZINE:
In the era of healthcare AI, tools can unlock buried clinical information that predicts risks, provides reasons for intervention, raises the quality of care and reduces medical costs. Explore this e-zine to find out how health IT pros prescribe remedies for funding slowdowns, data quality concerns and other digital transformation stumbling blocks.
