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 issue of Computer Weekly, we look at the track and trace app, which was redeveloped and enhanced at breakneck speed, and explore how the pandemic has accelerated the roll-out of new technology such as artificial intelligence and video conferencing tools at NHS trusts. We also present some research into how Covid has affected IT spending.
EBOOK:
Named Project of the Year in the Computer Weekly Innovation Awards APAC 2022, StratMed's Integer platform is facilitating data exchanges between healthcare providers and their suppliers to improve transparency in India's healthcare supply chain.
EZINE:
Today, no other trend speaks to patient engagement more than the Internet of Medical Things. This issue of Pulse looks at healthcare IoT applications and shares how this technology influences care, from the perspectives of patients and providers.
EGUIDE:
Access this e-guide from SearchHealthIT.com for expert insight on how including analytics at the point of care can help care across your health care organization (HCO). Click through to learn why analytics backup is also a must.
WHITE PAPER:
This brief resource provides information on a solution that reduces costs and improves operational efficiency by consolidating image data from each department PACS into a single, unified independent storage solution.
EGUIDE:
While VNAs and PACS appear to be coexisting, enterprise imaging in healthcare is taking over from purely departmental and radiology centered approaches. In this e-guide, KLAS analyst, Monique Rasband, and medical imaging software expert, Joe Marion, provide their insight into why enterprise imaging is the way to go for healthcare organizations.
EZINE:
In the January issue of Pulse, learn why medical imaging data needs to be stored and reliably accessed in a timely manner, to make the ability to interoperate and share images across different health systems a little easier.
CASE STUDY:
This case study describes how predictive analytics helped one hospital to optimize the payment collections process and maximize returns from self-pay patients.
