When it comes to radiology imaging, healthcare executives may have difficulty deciding where to start lowering the total costs of information technology while enhancing performance. In these articles written by McKesson thought leaders and guest authors, hospital leaders and radiologists can discover industry insights and opportunities to help make challenging decisions and meet your healthcare organization’s needs.
Explore topics ranging from ICD-10 and value-based imaging to big data and EMR data mining. Read the articles below to learn how to improve your radiology imaging department.
CMS and ONC issued three Notices of Proposed Rule Making (NPRMs) in quick succession during March and April that have a major effect on what to expect for Stage 3 of Meaningful Use (MU3). These NPRMs affect both the content of MU3 and also how it and earlier stages are likely to roll out. If you want, you can read the relevant 242 Federal Register pages here, here, and here. Take your time. I’ll wait.
People involved in imaging have had a few months now to fully digest these proposed rules. But there seems to be a lot of confusion out there. Many remain a bit puzzled by what it all means in practical terms.
Radiologists know that precision medicine is important to moving healthcare forward, but they may not realize how important diagnostic imaging is to precision medicine.
In fact, diagnostic imaging is one of only four ways to phenotype a patient, according to a Diagnostic Imaging article on the topic. The others include clinical history with physical exam, lab testing, and histopathology and immuno pathology.
Dr. James Thrall, chief of radiology at Massachusetts General Hospital, says radiology reports are essentially a description of the imaging phenotype of disease manifestation, although they are not usually thought of in those terms.
SIIM 2015, the annual meeting for the Society for Imaging Informatics in Medicine, will be held on May 28-30 in Washington, D.C. This year’s theme is “Creating the Image Enabled Enterprise.”
To help radiologists, researchers, and other clinical enterprise IT professionals create image-enabled enterprises, the conference offers a rich variety of educational sessions. SIIM 2015 sessions will cover utilizing mobile, improving the patient experience and understanding how imaging is moving away from traditional PACS, to name a few key topics.
Whether you’ve attended before or will attend for the first time, maximize your time at SIIM 2015 by reading this preview of new features and what sessions you should plan to attend.
Physicians value medical imaging. In fact, about 9 in 10 primary care physicians who responded to a survey about imaging’s value reported that advanced imaging improves their diagnostic confidence and provides data that would otherwise be unavailable.
Healthcare executives, on the other hand, may approach medical imaging from a more fiscal perspective. Imaging has been identified as the most rapidly growing contributor to rising costs that is under physician control. Unnecessary medical imaging is estimated to cost the U.S. up to $12 billion every year.
In Harry Potter’s world, invisibility is a highly coveted attribute, whether it’s just a knack for keeping the professor from calling on you or a true disappearing act enabled by the cloak of invisibility. In radiology, invisibility is problematic — and becoming more so.
Despite the fact that patient centeredness is a core principal in today’s healthcare reform, most patients remain unaware of the contribution radiologists make to their care. In the past, this was an unfortunate fact we all accepted. Today, it’s a serious issue.
Managing a radiology department these days can seem like wrestling a pile of snakes. Just as you’ve got a handle on one area, another slips away and causes trouble. The shift to value-based care is causing your department to change procedures, rethink processes and re-evaluate just about everything else.
Radiology departments using a traditional RIS or PACS to manage all this change seem to be struggling the hardest. They lack the type of detailed information they need to speed up workflow, identify intra- and inter-departmental communication gaps and capture department-wide data in a way that clearly shows where improvements are needed.
If you’re planning to attend HIMSS15, you’re not alone. With nearly 38,000 attendees last year, HIMSS 2015 is the largest health IT event in the industry.
To get the most out of your conference experience, Karen Malone, Vice President, Meeting Services, HIMSS North America advises all attendees to plan their agenda before arriving at HIMSS. To help attendees prioritize, below, Malone shares her “preview” of sessions you don’t want to miss, an inside scoop on the variety of session types and new features of this year’s conference.
Plan to Attend These Sessions
With six months to go until ICD-10 implementation, ICD-10 is a focus for many healthcare organizations. Most hospitals are making investments in ICD-10 migration tools this year, according to a survey of hospital executives. CMS timelines indicate that health systems should be a full year into testing for readiness, with testing recommended to have begun in April of last year. Final steps should be underway now to ensure that employees are fully trained and ready for the transition from ICD-9 to ICD-10, including in radiology.
One size does not fit all when it comes to imaging use, so it makes sense that it’s not a fit for utilization optimization, either. Indeed, a recent study suggests a targeted approach to managing imaging utilization could be more effective than a national intervention.
In “Use of Public Data to Target Variation in Providers’ Use of CT and MR Imaging among Medicare Beneficiaries” (February 5, Radiology), a team of authors led by Dr. Ivan Ip examined geographic trends in imaging referrals. They found a wide variation in use, ranging from 330 studies per 1,000 beneficiaries to 684 per 1,000. The research team used a pair of public CMS databases to assess 124 million diagnostic imaging services provided to Medicare beneficiaries in 2012.
How can we improve the relationship between computers and radiologists? How can we make use of dark matter (all the information currently not being mined from our images)? How can we combine data sets to calculate critical conditions like malignancy?
The answer to all of these questions is big data. And if it sounds a bit futuristic, that’s because it is.