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Health IT Summit in San Francisco
2015-03-03 - 2015-03-04    
All Day
iHT2 [eye-h-tee-squared]: 1. an awe-inspiring summit featuring some of the world.s best and brightest. 2. great food for thought that will leave you begging for more. 3. [...]
How to Get Paid for the New Chronic Care Management Code
2015-03-10    
1:00 am - 10:00 am
Under a new chronic care management program authorized by CMS and taking effect in 2015, you can bill for care that you are probably already [...]
The 12th Annual World Health Care  Congress & Exhibition
2015-03-22 - 2015-03-25    
All Day
The 12th Annual World Health Care Congress convenes decision makers from all sectors of health care to catalyze change. In 2015, faculty focus on critical challenges and [...]
ICD-10 Success: How to Get There From Here
2015-03-24    
1:00 pm
Tuesday, March 24, 2015 1:00 PM Eastern / 10:00 AM Pacific Make sure your practice is ready for ICD-10 coding with this complimentary overview of [...]
Customer Analytics & Engagement in Health Insurance
2015-03-25 - 2015-03-26    
All Day
Takeaway business ROI: Drive business value with customer analytics: learn what every business person needs to know about analytics to improve your customer base Debate key customer [...]
How to survive a HIPPA Audit
2015-03-25    
2:00 pm - 3:30 pm
Wednesday, March 25th from 2:00 – 3:30 EST If you were audited for HIPAA compliance tomorrow, would you be prepared? The question is not so hypothetical, [...]
Events on 2015-03-03
Health IT Summit in San Francisco
3 Mar 15
San Francisco
Events on 2015-03-10
Events on 2015-03-22
Events on 2015-03-24
Events on 2015-03-25
Latest News

Sep26: DoD faces big data interoperability challenges

cottage hospital

By next summer,

the Defense Department plans to buy an off-the-shelf electronic health record system which meets modern health IT standards. But the system won’t be a silver bullet for the challenges the department faces with regard to sharing health data within its own facilities or with the Department of Veterans Affairs.

The new system will ensure that any health data which makes its way into DoD databases makes use of robust mechanisms for interoperability based on standards set by the Office of the National Coordinator for Health IT, officials said. But the system, in and of itself, will have no effect on the interoperability of the patient data the department has been collecting for the past few decades.

In other words, even if everything goes according to plan, DoD is going to be dealing with a mixture of truly modern health IT, legacy data and paper records for the foreseeable future.

“Veterans who are now going to the VA were serving even before we had the legacy health IT systems we have now,” said Mary Ann Rockey, the deputy program executive officer for DoD’s modernization effort. “We have paper data, we have data in multiple legacy systems, and when we get the new EHR, that’s not going to change. We will have data in multiple systems.”

In the meantime, DoD is laying the groundwork for the more modern system by doing everything it can to make its existing data more interoperable with VA’s systems and modern standards. Rockey told a health IT forum organized by ACT-IAC that the department’s Defense Management Information Exchange (DMIX) office has identified 26 broad areas in which it’s mapping legacy data elements to match up with interoperability standards.

“By the end of this year, we’ll have millions of those data elements mapped to the standards so that we’ll be able to use that data more effectively,” she said. “There are a lot of use cases that are going to demand standardization in other areas as well, but 26 is a great start.”

For DoD and VA, the problem is not that the departments can’t share data with one another. They do on a vast scale — each department has access to a shared repository that includes the health records of 6.5 million patients and 1.5 million pieces of information moved electronically between the two departments every day.

The real issue is interoperability. It’s one thing to move raw information across a data pipeline – making it usable to the human beings who need to interact with it is another question.

“Most of the sharing we do is not standards-based,” Rockey said. “For example, a clinician in VA has access to VA lab results in VistA for the patient they’re seeing, but then they see that that patient also has data in DoD. They click on a remote data viewer, and it just brings up a long big blob of information and they have to sort through it and try to find what they’re looking for. That’s hard to do when you have a scheduled appointment window. The data might be there, but since we don’t make it easy for them to find it, they’ll just order another lab or do whatever they need to do.”

During the long saga of attempts to integrate DoD and VA’s records, the Pentagon has created a series of projects to make various types of data more interoperable between the two departments. The Pentagon only recently consolidated all of those efforts into the DMIX office. In addition to building data exchange tools to improve data flows between DoD and VA, the office is in charge of integrating medical information from DoD’s large network of private sector providers under its TRICARE program.

“And in the future, when we get the new health record, which will have robust data exchange, that mechanism is then going to point at our legacy data stores, and that will be the way that we get the predominant amount of our legacy information so that we can marry it all together with the new information in our new EHR,” Rockey said. “We have to be able to get to that legacy information for a lot of use cases, including benefits adjudication with VA and with the Social Security Administration as people apply for benefits, so we have to be able to bring all of that information together.”

If DoD and VA manage to translate their paper and legacy electronic data into an interoperable architecture, the implications would be enormously positive. Not only would it benefit individual patients, but it would also see through one of the promises long-made by health IT boosters: the idea that better data can lead to a better understanding of precisely which practices make for better long-term patient outcomes.

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