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 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.
EGUIDE:
In this case study, learn how Singapore's National University Health System deployed RPA bots to automate patient registration during Covid-19 swab tests as part of broader efforts to improve efficiency.
EZINE:
In this week's Computer Weekly, we examine the steps being taken to ensure the future development of the web is ethical and open. We discuss the UK's cyber security skills gap and ask what more the government should be doing. And we find out how cloud technology could help people stop smoking. 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.
EGUIDE:
The adoption of IoT in Asia-Pacific has accelerated over the past few years, spurred by growing digitalisation across the region and the desire to improve business processes. In this e-guide, learn more about IoT developments across the region and how to leverage the technology to drive business outcomes.
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.
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.
