• Is the past really the best predictor of the future?

    Healthcare enterprise analytics: Manage where you want to be – not where you’ve been.

    Healthcare enterprise analytics: moving healthcare organizations thru 4 analytics maturity stages.

    Several famous quotes advocate for the idea that past behavior is the best predictor of future behavior. But making decisions about the future solely based on past data will leave healthcare organizations incapable of adapting to today’s dynamic landscape. Increasing financial pressures, mergers and acquisitions, competitive threats, and new government quality initiatives are forcing healthcare leaders to think differently about how they operate and how they look at data.

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  • Enterprise Imaging: The whole is greater than the sum of the PACS.

    Enterprise Imaging brings data from PACS together. When picture archiving and communication systems (PACS) were introduced in the 1980s, it was a major step forward for healthcare. For the first time, a clinician could simply open a digital image file at a workstation rather than sending someone to search for a piece of film in a file room down the hall. Today, those same systems often impede holistic patient care collaboration between departments when patient data is scattered across multiple PACS imaging systems.

    Healthcare is at another turning point in history. So how did we get here?

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  • The odds of avoiding repeat imaging just improved.

    When patient prior imaging data exists outside of a healthcare provider’s enterprise, the clinician often resorts to ordering a duplicate exam, thanks to the barriers of closed data networks. The cost is significant. To the patient, it can mean more time off work or away from preferred activities, unnecessary radiation exposure, increased lifetime radiation dose, and even anxiety about the reason for the second exam. To the clinician, it can mean longer time to outcome and the potential for reduced revenue in today’s value-based-care environment. No one wins.

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  • Nuclear Medicine: The last frontier for advanced visualization.

    Many hospital systems and imaging centers have moved toward the enterprise-level data access of advanced visualization (AV). For more than a decade, they’ve reaped the benefits of improved workflows by providing radiologists with real-time access to images captured through modalities such as CT, MRI, PET, PET/CT, SPECT, US and XA.

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  • Move over. The healthcare consumer is taking the wheel.

    With smartphones setting today’s standard for instant information, consumers’ expectations for data access are high. This, of course, includes their own healthcare data. Whether the data is generated inside or outside the healthcare system, consumers want to see it instantly. Add to this the recent demands for interoperability and connectivity coming from The Office of the National Coordinator (ONC) for Health Information Technology, as well as laws like the 21st Century Cures Act, and you have a healthcare system in which the consumer is sliding into the driver’s seat.

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  • Making workflows work.

    One of the challenges to successful implementation of an enterprise imaging strategy is workflow design. As hospital systems adopt enterprise imaging, they are faced with the inherent disparate workflows associated with various legacy PACS.* While standardizing workflows can lead to efficiencies, there are circumstances in which customizing workflows by department can benefit both provider and patient.

    When workflow customization is dependent on a new software release from a PACS vendor, however, it can be a slow process. The key is to move the customization process from the vendor to the healthcare provider.

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  • Predictive Analytics in Medical Imaging

    The Hospital Value-based Purchasing (VBP) Program within the Affordable Care Act (ACA) allows the Centers for Medicare and Medicaid Services (CMS) to incentivize healthcare facilities for improving the quality of care provided to Medicare beneficiaries, following clinical best practices, and enhancing patient experiences.

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  • Image Sharing – It’s not what you think.

    It’s not just about moving images around. It’s about enabling access to view all images, regardless of their origin. This is a need that is well understood in radiology. Clinicians require access to data in real time to understand the ever-evolving patient story. It can be a challenge because people – clinicians and patients – and data are constantly in motion. Images acquired at one facility ultimately must be viewed at another facility.

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  • Getting from data-management to data-driven.

    Managing data from a host of PACS/VNA, modalities and healthcare information systems is clearly challenging. Trying to learn something about your organization based on that data can be even more so. When data is confined to proprietary systems, you can’t easily combine it to create a holistic view. And if you need reports from multiple systems, expect long turnaround times.

    When systems and data aren’t consolidated, the data can seem to be working against you – not for you. And healthcare leaders are sometimes left second-guessing business decisions. Without centralized access, getting the level of detail needed to make sound decisions is very difficult. But with consolidated access to data, you can run reports that automatically visualize contextual information for quick interpretation and trend analysis. 

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  • A new model for VNA implementation.

    Traditional VNA implementations typically mean “rip and replace.” Key resources are diverted. Systems are disrupted. And a massive, costly data migration ensues. Eventually, you’ll reap the rewards of consolidated data. But find a comfortable chair and settle in, because it could be a long time before you start seeing those benefits.

    But not necessarily. If this is what you think consolidating your enterprise imaging systems has to look like – think again. You can achieve the long-term benefits of a consolidated infrastructure in the short term, without the disruption and without the same level of upfront expense. 

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