Data Silos: Together, We Can Bust Them

November 1, 2017

 

 

 One of the biggest issues in healthcare research is the ability of researchers to obtain healthcare record data. Information silos of healthcare data exist across both private and public sectors. Working with some of the largest clinical data warehouses and clinical outcomes data in the government – including the U.S. Department of Veteran Affairs’ (VA), Veterans Informatics and Computing Infrastructure (VINCI) – is a good start, but what about Centers for Medicare and Medicaid (CMS) or Department of Defense (DoD) or Indian Health Service (IHS) collective data to support research? Yes, they have their own research arms, but what about an environment for all of them to work together to improve patient outcomes?

 

Issues and challenges around busting data silos

To dismantle these information silos, we need legislative directives that allow and encourage data sharing across both the federal and commercial healthcare environments, and include security requirements to protect personally identifiable information (PII) and protected health information (PHI). Even with these directives, issues will remain with information exchange, data quality, data mapping, data pedigree, etc.

Even with state and private sector exchange solutions, such as health information networks (HINs), impediments to data access for researchers still exist. Without timely and quality research, innovations to healthcare and disease management stall, which in turn, directly impede improving quality patient care. Ongoing initiatives to overcome these obstacles improve slowly. For example, the Moonshot Initiative raises awareness on the need to support research for cancer and chronic conditions for our aging population.

 

Data Silo-Busting Examples

Within the government, one disconnect appears between the federal and state systems that support military service men and women retiring as veterans. For example, the DoD’s Clinical Data Repository (CDR), Department of VA’s Corporate Data Warehouse (CDW), and data from the State Veterans Homes do not connect directly with each other, nor share entire records at this time. Approximately 25% of the entire U.S. population patient records are within the federal and state health electronic health records (EHR)/health information systems (HIS) (commercial and federal EHRs).

However, initiatives underway for over a decade to support some exchange across government entities are beginning to pull information from community care organizations and other third-party groups. Some of the initiatives between VA, DoD and private sector include:

• NHIN/NHIN Connect,

• DoD/VA Interoperability Information Sharing Systems,

   o Virtual Lifetime Electronic Record (VLER),

   o Bi-Directional Health Information Exchange (BHIE),

   o Federal Health Information Exchange (FHIE),

   o Clinical Health Data Repository (CHDR),

   o Clinical VistA Imaging Exchange (CViX),

   o Healthcare Artifact and Image Management Solution (HAIMS),

   o VA’s Data Access Service (DAS),

   o VLER Direct,

   o VLER Exchange,

   o JANUS/Joint Legacy Viewer (JLV),

   o Enterprise Messaging Infrastructure (eMI),

   o Veterans Benefits Management Systems (VBMS),

   o Automated Medical Information Exchange (AMIE),

   o VistA Web,

   o Compensation and Pension Records Interchange (CAPRI), and

   o Connected Health.

 

Steps to Bust Data Silos

Sharing complete patient records across the VA and DoD in real time is one of the first steps we can take to remove information silos. To facilitate this information flow, we must implement a more collaborate data strategy.

Here are a few steps to inform that strategy:

1) document current systems;

2) meet with all stakeholders and form focus groups to develop a strategy;

3) document past and current challenges facing data exchange; and

4) facilitate and encourage negotiation/solution development to resolve challenges between VA and DOD third parties.

I’ve compiled recommended strategies (Table 1) to bridge information silos across federal organizations that addresses uncertainties, challenges and possible resolutions to move forward.

 

 

 

 While this example specifies data silo issues between the VA and DoD, the steps and solutions apply to other silo instances.

 

The Data Silo-Busting Challenge for You

• As a healthcare leader who advocates for data quality, what are other resolutions that can overcome these challenges?

• If you are not a current HIMSS member, consider joining our organization to collaborate with other leaders and help guide government and the public healthcare community to develop standards and exchange across both commercial, state, and federal instances.

Join the HIMSS C&BI Community today to stay up to date and learn more about the tools and educational opportunities focused on policies to remove silos, secure exchange of data, quality of data, and other critical topics that will help you on your journey to Turn Data to Action.

 

Join the HIMSS C&BI Community today to stay up to date and learn more about the tools and educational opportunities focused on policies to remove silos, secure exchange of data, quality of data, and other critical topics that will help you on your journey to Turn Data to Action.

 

#PutData2Work | #PopHealthIT | #PrecisionHIT

 

Check out our blog on HIMSS here: http://www.himss.org/news/data-silos-together-we-can-bust-them 

 

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