Future of Diagnostic Imaging
Future of Diagnostic Imaging
In the ever-changing landscape of diagnostic imaging, your healthcare organization must stay up-to-date on industry news, insights and predictions to succeed. From a variety of McKesson thought leaders and guest authors, this section provides you with insight into financial and operational improvement opportunities that you may be able to take advantage of in your diagnostic imaging department. Learn about transitioning to value-based care, applying evidence-based prediction modeling to cardiac procedures and more
Search the blogs below to explore the latest industry trends and discover what opportunities lie ahead for your organization in the future of diagnostic imaging.
Greater availability of data is one of the key drivers in the transition to value-based care. With a better flow of information, it’s possible to eliminate redundancies and unnecessary testing. It also gives physicians greater context for diagnoses which helps them deliver the right level of care.
To enable this kind of data flow, health systems need to make imaging and other patient data available across the enterprise. Regardless of where the data is created or where it needs to be accessed, the process should be seamless.
Health IT made great strides forward in 2016, providing the critical infrastructure to support interoperability and cross-communication. True enterprise imaging — the availability of images beyond traditional departments, across and between health systems — is closer now than ever before.
There are still obstacles to overcome, however. Some are the natural growing pains that come with any major change. Some challenges arise directly from solving another problem. For example, greater interoperability leads to more security vulnerability. These challenges and many more will continue to drive innovation in health IT and enterprise imaging in 2017 and beyond.
More than half the hospital executive respondents to a recent Healthcare IT News survey indicated they were planning security upgrades to IT infrastructure in 2017. It’s not surprising that increasing security would be a top priority for healthcare providers, outpacing such choices as analytics, patient engagement, population health or EHRs.
In terms of sheer number of patient and medical records compromised, 2016 was a relatively quiet year when compared with the huge healthcare data security breaches of 2015, when more than 113 million records were breached, according to the Breach Barometer Report. Reported breaches in 2016 were slightly over 27 million.
Less than a decade ago, the majority of imaging data in a health system came from dedicated imaging departments. Now, the widespread availability of digital photography means more departments are generating patient data. Many of these departments use their own proprietary systems for data storage and retrieval, which can mean headaches for intradepartmental communication.
Health systems need to invest in true interoperability to create their enterprise imaging solutions. It takes time and resources to create a seamless system, but the benefits can far outweigh the initial setup costs.
One key component of enterprise imaging is making data more accessible across the health system. The massive amount of patient data health systems collect can be a powerful driver for better patient outcomes. Provided, of course, that there are systems in place to collect and intelligently display data. Regardless of where the request originates or the data is captured, the process needs to be seamless.
For our latest eBook, Beyond Imaging: Key Components for a Holistic Enterprise Imaging Strategy, we asked experts in health IT and diagnostic imaging for their thoughts on improving patient outcomes through data management. Read on for highlights from their responses, and click the icon next to each quote to share.
We created the Medical Imaging Talk Blog to participate in the most vital discussions in the health care industry. In 2016, there was a lot to talk about.
The switch to value-based care was at the top of most health providers’ minds. Imaging departments in particular saw the need to restructure their operations and reporting procedures to increase efficiency and prove value.
Enterprise imaging hit a tipping point as well, dominating the industry conversation. As health systems looked for ways to increase efficiency, improve outcomes, and lower costs, VNA and PACS solutions were hot topics.
Editor’s Note: The following article recently appeared in imagingBiz and is reprinted here with permission.
With more than four combined decades of experience, Ashish Sant and Tomer Levy are leaders in healthcare technology. Recently imagingBiz sat down with the two of McKesson’s General Managers to discuss their views on important current imaging issues.
Sant is McKesson’s GM of Radiology within the company’s Imaging and Workflow Solutions division, which provides radiologists, technologists, imaging administrators and IT staff with diagnostic tools and image-management solutions.
Levy is McKesson’s GM of Workflow and Infrastructure, leading McKesson’s efforts on vendor-neutral archives (VNAs), enterprise worklists, imaging quality workflows and consulting.
Successfully making the transition to value-based care depends heavily on data. The data health systems generate can promote better processes that lead to improved patient outcomes. Just collecting and storing this information is not enough to make a difference, however. To truly affect the quality of care, data needs to be freely shared within and across health systems.
Diagnostic imaging is one of the biggest parts of the data equation. Imaging departments are challenged to break down silos, as other departments begin to generate their own images and request access to existing imaging.
In their August white paper, the Society for Imaging and Informatics in Medicine (SIIM) and the Healthcare Information and Management Systems Society (HIMSS) identified seven challenges to enterprise imaging. We summarized the first three in our previous post and discuss the remaining four challenges today.
1. Linking Reports to Images
The reports and documents associated with images provide crucial context, and the radiology reporting workflow and requirements are well understood. But in other departments, a “report” could refer to any text that should accompany the image, for example a note on an operative photo or a referral letter from a dermatologist. These documents need to be added to a patient’s record and associated with the correct image.
Enterprise imaging has the potential to transform the way health care professionals make diagnostic and treatment decisions. But before these benefits can be realized, there are significant challenges to overcome.
Earlier this year, the Society for Imaging and Informatics in Medicine (SIIM) and the Healthcare Information and Management Systems Society (HIMSS) collaborated to identify seven major challenges of enterprise imaging.
Today, we’re summarizing the first three challenges, as well as our thoughts on potential solutions, and we’ll follow up in our next post with the last four.