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Reading Time: 5 minutes readCIO eBook chronicles healthIT migration from paper to electronic record keeping. Three years ago, when we embarked on our CIO eBook, the healthcare IT world was in a different place. EHR adoption was starting to rise, enabling more complete information access […]

Reading Time: 3 minutes readThe image archive: today through 2020. One of the most challenging aspects of healthcare is planning for the future. In particular, information systems that include images require an understanding not just of the most useful information for today, but also a vision […]

Reading Time: 3 minutes readCollaboration has become a key component of today’s healthcare system. Department silos are breaking down and fading away, and from the rubble is born multidisciplinary teams with a focus on interoperability across departments. Meaningful Use (MU) has served as a great […]

Reading Time: 3 minutes readNews this week: increasing tech adoption in radiography; optical imaging in cancer detection. This week’s articles in Diagnostic Reading include: deep learning with radiologist oversight can boost efficiency of liver lesion segmentation; a near-infrared imaging technique can detect deep tumors before […]

Reading Time: 3 minutes readOptions for managing medical imaging data; and patients’ views on AI are in the news. This week’s articles in Diagnostic Reading include: biomarker may predict better breast cancer treatment therapy; which option is the best for managing imaging data?; skin scent […]

Reading Time: 1 minute readCan you guess the image in the X-ray? This month’s “Guess the X-ray Image Challenge!” is here! We welcome radiologists, technologists, RAs, MDs, PAs – or anyone who thinks they’re up to the challenge – to guess the subject in this X-ray. Please […]

Reading Time: 3 minutes readDBT, burnout, and equipment obsolescence make headlines this week. This week’s articles in Diagnostic Reading include: new wireless sensors for sick, premature newborns; a guide to avoiding technology obsolescence in imaging equipment; AI predicts ovarian cancer survival rates and treatment response; […]