Editor’s Note: This article was recently published by DotMed Healthcare Business News and is reprinted here with permission.
Making the transition to new and better technology can be a difficult process fraught with unexpected problems that can challenge any successful rollout. Through careful planning and an understanding of the possible challenges presented during an implementation, your organization can achieve success.
Radiology Regional Center’s successful implementation of McKesson Radiology Mammography Plus ™ was a case study in how understanding the infrastructure needed to support technology can lead to a successful rollout.
Kinson Ho Q&A: Understanding and Addressing Data Management Challenges with a Vendor Neutral Archive – Part 2 of 3
Last week, Kinson Ho discussed the role of a VNA as an integral part of an organization’s enterprise imaging strategy, as well as the critical role of industry standards as the basis for these systems. In today’s post, Kinson, an industry expert and author of two IHE Integration profiles, will discuss two more areas you should reflect on as you build your VNA strategy: the treatment of DICOM and non-DICOM data as well as the importance of clean data in a VNA implementation.
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: