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Dove Medical Press

Improving drug abuse treatment delivery through adoption of harmonized electronic health record systems

Overview of attention for article published in Substance abuse and rehabilitation, July 2011
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31 Mendeley
Title
Improving drug abuse treatment delivery through adoption of harmonized electronic health record systems
Published in
Substance abuse and rehabilitation, July 2011
DOI 10.2147/sar.s23030
Pubmed ID
Authors

Udi GHitza, Udi GHitza, Steven Sparenborg, Betty Tai

Abstract

A great divide currently exists between mainstream health care and specialty substance use disorders (SUD) treatment, concerning the coordination of care and sharing of medical information. Improving the coordination of SUD treatment with other disciplines of medicine will benefit SUD patients. The development and use of harmonized electronic health record systems (EHR) containing standardized person-level information will enable improved coordination of healthcare services. We attempt here to illuminate the urgent public health need to develop and implement at the national level harmonized EHR including data fields containing standardized vocabulary/terminologies relevant to SUD treatment. The many advantages and barriers to harmonized EHR implementation in SUD treatment service groups, and pathways to their successful implementation, are also discussed. As the US Federal Government incentivizes Medicare and Medicaid Service providers nationwide for "meaningful use" of health information technology (HIT) systems, relevant stakeholders may face relatively large and time-consuming processes to conform their local practices to meet the federal government's "meaningful use" criteria unless they proactively implement data standards and elements consistent with those criteria. Incorporating consensus-based common data elements and standards relevant to SUD screening, diagnosis, and treatment into the federal government's "meaningful use" criteria is an essential first step to develop necessary infrastructure for effective coordination of HIT systems among SUD treatment and other healthcare service providers to promote collaborative-care implementation of cost-effective, evidence-based treatments and to support program evaluations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
United Kingdom 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 29%
Student > Master 4 13%
Student > Doctoral Student 4 13%
Other 2 6%
Student > Postgraduate 2 6%
Other 3 10%
Unknown 7 23%
Readers by discipline Count As %
Medicine and Dentistry 7 23%
Social Sciences 6 19%
Computer Science 5 16%
Psychology 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 3 10%
Unknown 7 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 September 2011.
All research outputs
#8,601,770
of 25,540,105 outputs
Outputs from Substance abuse and rehabilitation
#76
of 126 outputs
Outputs of similar age
#46,618
of 127,382 outputs
Outputs of similar age from Substance abuse and rehabilitation
#2
of 3 outputs
Altmetric has tracked 25,540,105 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 126 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.8. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 127,382 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.