Perhaps the only thing worse than not enough data is too much data. Clinical staff and hospital leaders are all keenly aware that data is key to improving patient outcomes, increasing departmental performance, and showing radiology’s value in the health system, but it’s not the data itself that leads to the improvements. Rather, it’s the context that elevates data to information. Context turns data into information that you can use to gain insights and make actionable applications for lasting impact.
Let’s start with a few basic facts about medical imaging analytics
Clinical analytics can be used to improve patient outcomes
Dr. Eliot Siegel of the University of Maryland told AuntMinnie.com that medicine will increasingly go from anecdotal to data-driven using big data and analytics. He cited the use of lung nodule databases being combined with expert guidelines for specific patients for imaging studies and biopsy and treatment. Clinical analytics also have the potential to improve dosing models, prove the value of patient follow up, and help referring physicians understand how best to use radiology services.
Business analytics can be used to improve radiology departmental efficiency
According to experts who spoke with Diagnostic Imaging, they can be used to shorten patient wait times, maximize equipment use, and help department heads make better decisions about staffing and scheduling.
Data is key to illustrating radiology’s contribution in a value-based care setting
Nadim Daher of Frost and Sullivan told AuntMinnie.com that analytics can show the value of radiology in treatment pathways for breast, colorectal, and lung cancer. In the value based care setting, he said providers need to show that the appropriate imaging procedure is being used, make sure the right recommendations are being made, and then be able to tie that information to improved patient outcomes, such as early detection of certain cancers.
Effectively utilizing medical imaging analytics
Currently, most facilities have some barriers even to accessing the data, let alone consolidating it, analyzing it and learning from it. For one thing, the data resides in multiple systems such as PACS, RIS, and EMR. And even if hospitals manage to consolidate the data into a single location, it is difficult to properly sort it into usable, readable information.
What’s needed is the ability to take data from within the department and from disparate systems and translate it into insight that can drive a measurable process improvement program. Conserus Workflow Intelligence™ not only gives radiology departments the ability to orchestrate radiology workflow, but also provides a platform that gathers data from its connected systems. It uses this data to provide robust reporting that can highlight areas where improvement might contribute to better clinical or business outcomes.
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