EGUIDE:
Providers must be prepared to address patient needs across the care continuum and be equipped with proper capabilities before joining or establishing an accountable care organization.
EGUIDE:
Verizon has seen a resurgence in healthcare security culture, despite declining insider threat breach rates. According to KnowBe4's Security Culture Report, suggesting that these gaps can increase cyber risk.
EBOOK:
Financial penalties for not meeting care metrics and insufficient funding for uninsured and low-income patients are contributing to negative margins for hospitals that provide significant support for Medicare and Medicaid patients. Access this eBook for everything healthcare finance leaders need to know to maximize reimbursements.
EZINE:
In this week's Computer Weekly, we examine the role of green tech in helping businesses contribute to the government's 2050 net-zero targets. We also talk to Spotify about the importance of open source for the music streaming service and how hybrid working is evolving as the post-pandemic workplace continues to change. 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.
WHITE PAPER:
Designing secure, reliable software update capabilities is crucial for medical devices to meet evolving regulatory requirements and improve patient safety. Learn how Wind River's virtualization, real-time OS, and cloud-native solutions can help you build in these critical update capabilities. Read the white paper.
EGUIDE:
An artificial intelligence model trained solely on synthetic liver tumor data performed on par with models trained using images of real tumors.
EBOOK:
Discover how to simplify provider scheduling, time tracking, and compensation with a healthcare-specific solution. Learn the three proven steps to improve accuracy, efficiency, and clinician satisfaction. Read this e-book to learn more.
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:
Health plans must fully understand artificial intelligence tools before using them to assist with coverage determinations or administrative tasks.
