Feinberg
Northwestern Medicine | Northwestern University | Faculty Profiles

News Center

  • Categories
    • Campus News
    • Disease Discoveries
    • Clinical Breakthroughs
    • Education News
    • Scientific Advances
    • Podcast
  • Press Release
  • Media Coverage
  • Editor’s Picks
    • COVID-19
    • Cardiology
    • Cancer
    • Neurology and Neuroscience
    • Aging and Longevity
    • Artificial Intelligence in Medicine
  • News Archives
  • About Us
    • Media Contact
    • Share Your News
    • News Feeds
    • Social Media
    • Contact Us
Menu
  • Categories
    • Campus News
    • Disease Discoveries
    • Clinical Breakthroughs
    • Education News
    • Scientific Advances
    • Podcast
  • Press Release
  • Media Coverage
  • Editor’s Picks
    • COVID-19
    • Cardiology
    • Cancer
    • Neurology and Neuroscience
    • Aging and Longevity
    • Artificial Intelligence in Medicine
  • News Archives
  • About Us
    • Media Contact
    • Share Your News
    • News Feeds
    • Social Media
    • Contact Us
Home » Electronic Records Speed Genetic Studies
Uncategorized

Electronic Records Speed Genetic Studies

By medwebApr 20, 2011
Share
Facebook Twitter Email

Electronic Records Speed Genetic Studies

Recruiting thousands of patients to collect health data for genetic clues to disease is expensive and time consuming. But that arduous process of collecting data for genetic studies could be faster and cheaper by instead mining patient data that already exists in electronic medical records, according to new Northwestern Medicine research.

In the study, researchers were able to cull patient information in electronic medical records from routine doctors’ visits at five national sites that all used different brands of medical record software. The information allowed researchers to accurately identify patients with five kinds of diseases or health conditions – type 2 diabetes, dementia, peripheral arterial disease, cataracts, and cardiac conduction.

“The hard part of doing genetic studies has been identifying enough people to get meaningful results,” said lead investigator Abel Kho, MD, an assistant professor of medicine at Northwestern University Feinberg School of Medicine and a physician at Northwestern Memorial Hospital. “Now we’ve shown you can do it using data that’s already been collected in electronic medical records and can rapidly generate large groups of patients.”

The paper will be published April 20 in Science Translational Medicine.

To identify the diseases, Kho and colleagues searched the records using a series of criteria such as medications, diagnoses, and laboratory tests. They then tested their results against the gold standard – review by physicians. The physicians confirmed the results, Kho said. The electronic health records allowed researchers to identify patients’ diseases with 73 to 98 percent accuracy.

The researchers also were able to reproduce previous genetic findings from prospective studies using the electronic medical records. The five institutions that participated in the study collected genetic samples for research. Patients agreed to the use of their records for studies.

Sequencing individuals’ genomes is becoming faster and cheaper. It soon may be possible to include patients’ genomes in their medical records, Kho noted. This would create a bountiful resource for genetic research.

“With permission from patients, you could search electronic health records at not just five sites but 25 or 100 different sites and identify 10,000 or 100,000 patients with diabetes, for example,” Kho said.

The larger the group of patients for genetic studies, the better the ability to detect rarer affects of the genes and the more detailed genetic sequences that cause a person to develop a disease.

The study also showed across-the-board weaknesses in institutions’ electronic medical records. The institutions didn’t do a good job of capturing race and ethnicity, smoking status, and family history, all which are important areas of study, Kho said.

“It shows we need to focus our efforts to use electronic medical records more meaningfully,” he added.

The institutions participating in the study are part of a consortium called the Electronic Medical Records and Genomics Network.

The research was supported by the National Human Genome Research Institute, with additional funding from the National Institute of General Medical Sciences.

Members of the media, please contact Marla Paul via e-mail or at (312) 503-8928 for more information about this story.

Share. Facebook Twitter Email

Related Posts

Lurie Cancer Center Receives Merit Extension from NCI

Oct 20, 2021

Drug Combination May Reduce Risk of Leukemia Relapse

Mar 26, 2020

Rewriting the Role of a Transcription Factor

Mar 19, 2020

Comments are closed.

Latest News

Hospitals Bound to Patient Safety Rules that Aren’t all Backed by Evidence

Jun 24, 2022

Identifying Protein Interactions that Promote Cancer Growth

Jun 24, 2022

Combination Treatment May Improve Quality of Life in Kidney Cancer

Jun 23, 2022

Calcium Channel Blockers May Improve Chemotherapy Response

Jun 21, 2022

Expanded Role for Calcium Channels in T-Cells

Jun 17, 2022
  • News Center Home
  • Categories
  • Press Release
  • Media Coverage
  • Editor’s Picks
  • News Archives
  • About Us
Flickr Photos
20220607_Feinberg Campus_0070
20220607_Feinberg Campus_0066
20220607_Feinberg Campus_0054
Northwestern University 2022. Photo by Jim Prisching
20220607_Feinberg Campus_0077
20220607_Feinberg Campus_0063
20220607_Feinberg Campus_0111
20220607_Feinberg Campus_0083
20220607_Feinberg Campus_0018
20220607_Feinberg Campus_0023
20220607_Feinberg Campus_0072 (2)
20220607_Feinberg Campus_0120

Northwestern University logo

Northwestern University Feinberg School of Medicine

RSS Facebook Twitter LinkedIn Flickr YouTube Instagram
Copyright © 2022 Northwestern University
  • Contact Northwestern University
  • Disclaimer
  • Campus Emergency Information
  • Policy Statements

Type above and press Enter to search. Press Esc to cancel.