Enterprise Imaging: Is it Possible to Achieve Data Liquidity While Balancing Cost, Access and Quality? Or, What Does this Napkin Drawing Mean to Your Radiology Practice?

2014-05-29
 

Healthcare Data Liquidity That Balances Cost, Access and Quality Is Possible from the Medical Imaging Talk Blog.Recently, McKesson sponsored a webinar featuring Applied Radiology Editorial Advisory Board member, Dr. Rasu B Shrestha, MD, MBA. The discussion focused on finding the right balance between the increasing pressures of efficiency, quality of patient care and healthcare data management; and how these are the challenges that enterprise medical imaging now faces. With a renewed focus on a holistic, patient-centric approach to care in medical imaging, the true “value” generated by imaging should then rightfully equate to the summation of superior outcomes, patient-centered care, and efficiency at lower costs.

Quantifying value is critical, but can only be achieved leveraging tools and methodologies in analytics if healthcare data is truly “liquid.” But we are increasingly finding ourselves to be in an environment where we are data rich and information poor. This movement from volume to value-based imaging can only be accomplished through consolidation and interoperability.

The diagram above helps to illustrate his point. We need to move up the left side pyramid, from healthcare data (that is currently held in silos, EHRs, lab systems, caches and other repositories) to information and from information to knowledge (i.e., evidence-based guidelines, protocols, best practices). And finally, we need to move to the pinnacle of pyramid—wisdom.

Over the past decade and more, we have made steady progress to move from paper and film to digital and filmless. However, we still find ourselves struggling with multiple disparate silos of healthcare data that do not do much more than just sit there and collect even more data. Often, these data silos have elements of proprietary standards that lock the data to the application layer from their respective vendors. The movement of the data is also highly unidirectional and unextractable. Often, the data is far from liquid, and that is a problem.

Healthcare data from multiple disparate information systems need to be woven together to derive meaningful operational and clinical insights that drive actionable workflow. Listen to the complete video for more insight.

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