Feature | Vendor Neutral Archive (VNA) | February 03, 2016 | Jef Williams

An Ounce of VNA Strategy is Worth a Pound of Remediation

This article appeared as an introduction to a comparison chart on Vendor Neutral Archives in the January/February 2016 issue.

Vendor neutral archive, VNA, archive storage for radiology, medical  imaging

How we store, access, and manage imaging information has never been more important, and complex, than it is now. Silos of information divided by software, specialties and providers negatively impact clinical efficacy and ultimately patient outcomes. But what does this mean for those of us who are tasked with the responsibility to provide information — specifically imaging data — to providers at the point of care, to specialists working to build a treatment plan, or researchers seeking to solve population health problems through data mining and interpretation?

The rise and growing pace of developing and activating an enterprise imaging program is in response to this challenging requirement. The idea behind this larger scale approach is that all medical images are important, and therefore should be included, within the longitudinal patient jacket as well as stored and indexed within a repository or platform that provides functionality for many different use cases represented across the healthcare spectrum. One of the early technologies that sought to break down silos within radiology was the vendor neutral archive (VNA). The software, primarily designed to normalize and free imaging from proprietary systems, has quickly become a standard component within an enterprise imaging strategy.

 

Access the online comparison chart for vendor neutral archive (VNA) systems. This requires a login, but it is free and only takes a miniute to complete.

 

Within the radiology space VNAs have been developed to various degrees by nearly every vendor. Many of these vendors are now providing their VNA within the customer portfolio as a value-add, or at a nominal cost. For many, this appears to bring a better set of functionality with much less disruption, and in many cases at a reduced cost. It is critical, however, to ensure any decision related to this type of software solution be made on a codified set of criteria mapped directly to organizational goals as prioritized by executive leadership. Simply adding a module because it is deemed the least disruptive can lead to long-term challenges, frustration, additional or hidden costs, and ultimately an inability to achieve the types of outcomes expected or required.

The decision to adopt an enterprise imaging strategy must be made carefully, across the leadership and governance structure, with representation by every stakeholder group affected or invested into this initiative. One of the critical steps is to clearly define the organizations interpretation of enterprise imaging. This definition will drive the approach, specifically the technical decision and design, of the architecture that will support the strategy. The components of enterprise imaging are largely agreed to be image capture, workflow, visualization, reporting, exchange, distribution, interoperability, integration to the EHR and access for secondary use. While each of these cannot be overlooked, the VNA and its functionality, if determined to be part of the strategy, will be fundamental to achieving the required outcomes.

Choosing a VNA solution requires knowing what you need this platform to provide for your organization. In the days of PACS-centric imaging, the vendors’ solutions became more and more commoditized with smaller and smaller differentiators within the market. The systems solved a set of problems that didn’t change much from one type of setting to the next. Perhaps there were some larger differences in the acute and ambulatory settings, but largely the workflow problems it solved were slightly differing shades of the same color.  

This is simply not the case in enterprise imaging. Every organization has different goals for how it will address the ability to ingest, normalize, store, provide access to and ultimately manage data. Beyond that, the types of imaging data will differ from one organization to the next based on the services, lines and specialties, let alone physician contracts and affiliations that exist. Simply doing what your neighbor is doing will spell certain disaster if one’s objectives are to continue to expand services, grow revenue, build referring community loyalty and deliver exceptional patient care. Therefore, how you define the role of your VNA — the central component of your architecture — will be one of the most important decisions to make.

Some considerations in your decision-making:

• What imaging types will you expect to store
and link to your EHR?

• Will you be accommodating non-DICOM
image data?

• How will you normalize your image objects for both internal and external interoperability?

• How will you ensure data integrity where duplicate objects exist in multiple and in many cases disparate systems?

• How will you manage access to imaging data?

• What is your strategy for ensuring privacy and security for this data?

• Will you grant patient access to their images through a portal?

• What other use cases exist for this data beyond point of care or treatment planning?

• Who will decide what data will be considered protected health information (PHI)?

• How will you manage data across multiple domains or message passing interfaces (MPIs)?

• How is data stored and indexed for
secondary uses?

As you can see from this cursory list, there is a lot to consider. This initiative will require careful thinking and clearly articulated goals and objectives. It will take longer than you expect. But doing the hard work up front building a strong definition of enterprise imaging for your organization will give you much higher odds of achieving your desired outcomes. And this, ideally, will enhance your ability to achieve greater outcomes, leading to higher quality healthcare. 

Jef Williams is the chief operating officer at Ascendian Healthcare Consulting. He is a frequent speaker and writer on enterprise imaging transformation and healthcare technology topics spanning people, process, strategy and technology.

Related Content

CDC and FDA Call for Pause on Janssen COVID-19 Vaccine Due to Rare Blood Clots #COVID19 #Janssen
Feature | Coronavirus (COVID-19) | April 15, 2021 | By Dave Fornell
April 15, 2021 — The U.S.
#SiemensHealthineers #Varian #Siemens The transformative combination accelerates the company’s impact on #global #healthcare and establishes a strong partner for #customers and #patients along the entire #cancer care continuum and for many of the most threatening #diseases
News | Radiology Business | April 15, 2021
April 15, 2021 — Siemens Healthineers AG an
Comparisons of high definition and standard definition infrared imaging for digital histopathology. Image courtesy of the Beckman Institute

Comparisons of high definition and standard definition infrared imaging for digital histopathology. Image courtesy of the Beckman Institute

News | Breast Imaging | April 14, 2021
April 14, 2021 — Detecting and analyzing breast cancer
A doctor reading #CXR scans using #SenseCare-Chest #DR Pro #diagnostic #software.

A doctor reading CXR scans using SenseCare-Chest DR Pro diagnostic software.

News | Artificial Intelligence | April 14, 2021
April 14, 2021 — SenseTime, a world-leading...
A 37-year-old woman developed a new, palpable left supraclavicular lymphadenopathy lump five days after her first dose of the Moderna COVID-19 vaccine in the left arm. On the day of vaccination, the patient was asymptomatic. This is an example of how the vaccine can mimic cancer and swollen lymph nodes. Image used with permission of RSNA.

A 37-year-old woman developed a new, palpable left supraclavicular lymphadenopathy lump five days after her first dose of the Moderna COVID-19 vaccine in the left arm. On the day of vaccination, the patient was asymptomatic. This is an example of how the vaccine can mimic cancer and swollen lymph nodes. Read more about this case study. Image used with permission of RSNA.

Feature | Coronavirus (COVID-19) | April 09, 2021 | By Dave Fornell, Editor
While the mass COVID-19 vaccinat
3-D mammography reduces the number of breast cancer cases diagnosed in the period between routine screenings, when compared with traditional mammography, according to a large study from Lund University in Sweden. The results are published in the journal Radiology.

Getty Images

News | Breast Imaging | April 09, 2021
April 9, 2021 — 3-D mammography reduces the number of breast cancer cases diagnosed in the period between routine scr
IV contrast-enhanced 2-mSv 4-mm-thick transverse and coronal (b) CT images show inflamed diverticula (arrows), segmental colonic wall thickening, and adjacent pericolic fat stranding. Image courtesy of the American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

IV contrast-enhanced 2-mSv 4-mm-thick transverse and coronal (b) CT images show inflamed diverticula (arrows), segmental colonic wall thickening, and adjacent pericolic fat stranding. Image courtesy of the American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

News | Computed Tomography (CT) | April 09, 2021
April 9, 2021 — According to an open-acc...
Futuristic campus design of Siemens Healthineers in Bengaluru, India.

Futuristic campus design of Siemens Healthineers in Bengaluru, India.

News | Radiology Business | April 08, 2021
April 8, 2021 — Siemens Healthineers announced t