News Release

Identifying newly diagnosed HIV-infected people using electronic medical records

Peer-Reviewed Publication

Mary Ann Liebert, Inc./Genetic Engineering News

AIDS Research and Human Retroviruses

image: AIDS Research and Human Retroviruses presents papers, reviews, and case studies documenting the latest developments and research advances in the molecular biology of HIV and SIV and innovative approaches to HIV vaccine and therapeutic drug research. view more 

Credit: ©2014 Mary Ann Liebert, Inc., publishers

New Rochelle, NY, July 15, 2014—A new, validated software-based method for identifying patients with newly diagnosed HIV using electronic medical records (EMRs) is described in AIDS Research and Human Retroviruses, a peer-reviewed journal published by Mary Ann Liebert, Inc., publishers. The article is available free on the AIDS Research and Human Retroviruses website at http://online.liebertpub.com/doi/full/10.1089/aid.2013.0287 until August 15, 2014.

Providing medical care early on to people with newly diagnosed HIV infection is important for improving clinical outcomes. Study authors Matthew Bidwell Goetz and Tuyen Hoang, VA Greater Los Angeles Healthcare System and David Geffen School of Medicine, UCLA; Virginia Kan, Washington DC VA Medical Center and George Washington University School of Medicine; David Rimland, Atlanta VA Medical Center and Emory University School of Medicine; and Maria Rodriguez-Barradas, Michael E. DeBakey VA Medical Center and Baylor University School of Medicine, Houston, TX, developed an algorithm designed to search EMRs to identify patients with new diagnoses of HIV infection based on the sequence of HIV diagnostic testing, diagnostic code entries into the EMR, and measurements of HIV genetic material in blood samples. They tested and validated their software tool using EMRs from patients undergoing HIV testing from 2006-2012 at four large Veterans Health Administration facilities.

The authors report the sensitivity, specificity, and predictive value of the algorithm in the article "Development and Validation of an Algorithm to Identify Patients Newly Diagnosed with HIV Infection from Electronic Health Records."

"This paper describes new and valuable methodologies that will enhance the ability of public health officials to monitor increases in newly infected HIV populations," says Thomas Hope, PhD, Editor-in-Chief of AIDS Research and Human Retroviruses and Professor of Cell and Molecular Biology at the Feinberg School of Medicine, Northwestern University, Chicago, IL. "This will help to determine where healthcare resources for HIV-positive patients and testing for highest risk patients could be utilized more effectively. This will surely aid in facilitating the fight against HIV/AIDS."

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About the Journal

AIDS Research and Human Retroviruses is published monthly in print and online. The Journal presents papers, reviews, and case studies documenting the latest developments and research advances in the molecular biology of HIV and SIV and innovative approaches to HIV vaccine and therapeutic drug research, including the development of antiretroviral agents and immune-restorative therapies. The content also explores the molecular and cellular basis of HIV pathogenesis and HIV/HTLV epidemiology. The Journal features rapid publication of emerging sequence information and reports on clinical trials of emerging HIV therapies. Tables of content and a sample issue may be viewed on the AIDS Research and Human Retroviruses website at http://www.liebertpub.com/aid.

About the Publisher

Mary Ann Liebert, Inc., publishers is a privately held, fully integrated media company known for establishing authoritative peer-reviewed journals in many promising areas of science and biomedical research, including AIDS Patient Care and STDs, Viral Immunology, and Journal of Interferon and Cytokine Research. Its biotechnology trade magazine, Genetic Engineering & Biotechnology News (GEN), was the first in its field and is today the industry's most widely read publication worldwide. A complete list of the firm's 80 journals, books, and newsmagazines is available on the Mary Ann Liebert, Inc., publishers website at http://www.liebertpub.com.

Mary Ann Liebert, Inc. 140 Huguenot St., New Rochelle, NY 10801-5215 http://www.liebertpub.com Phone: (914) 740-2100 (800) M-LIEBERT Fax: (914) 740-2101

Contact: Kathryn Ruehle, Mary Ann Liebert, Inc., (914) 740-2100, kruehle@liebertpub.com


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