Kinson Ho Q&A: Understanding and Addressing Data Management Challenges with a Vendor Neutral Archive – Part 1 of 3
As ACO models and value based care become more established, physicians and IT leaders are united in their goals to increase efficiency and ensure better access to information. These goals are being driven in part by an industry-wide shift to a more holistic view of patient health focused on outcome rather than volume.
It’s a common assumption that better access to data will allow for more informed decisions related to patient care, and that implementing a VNA in the middle of a facility’s disparate systems will solve many problems. The VNA, after all, is the central data repository; it should act as a hub that connects information and makes it available to everyone who needs it.
The transition to value-based care is pushing radiology beyond its traditional borders, and success in this new model is measured in better patient outcomes. In order to achieve those outcomes, radiologists and their colleagues in the hospital and referring community need broad access to both data and images. A more integrated, collaborative radiology workflow can connect both systems and people, which helps provide much-needed context for better patient care.
Here are four characteristics of an integrated, value-based radiology workflow.
Surgeons likely think that patient care centers on the scalpel, while radiologists think it’s about the scans and nurses believe it’s about bedside manner and being attuned to patient needs.
Patient care certainly is all of those things and many more. But at its very core, patient care is all about communication:
It’s no surprise that adoption of digital breast tomosynthesis (DBT) has been growing of late and shows no signs of stopping. After all, DBT has been shown to improve the diagnostic accuracy of breast cancer screening and diagnosis. But not everyone involved with implementing DBT fully understands all the technical issues.
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.