electronic health records (EHRs)

June 2, 2016

‘Crowdsourcing’ project aims to refine data extraction from electronic health records

A research team at Vanderbilt University Medical Center (VUMC) will develop a crowdsourcing solution for generating a wide range of labeled data sets from electronic health records (EHRs).

March 23, 2016

Readmission prediction face-off

Using patients’ health records to assess preparedness for hospital discharge is more effective at predicting readmission or death than commonly used questionnaires.

January 27, 2016

Effort seeks to integrate clinical, research data systems

To ease data collection for clinical research and ongoing analysis of clinical processes, teams at Vanderbilt University Medical Center (VUMC) are working to bridge the gap between clinical systems and research systems.

January 5, 2016

Unauthorized access of patient information can result in termination

Unauthorized use of Vanderbilt University Medical Center’s (VUMC) clinical databases — Epic, Medipac or Star Panel — to check on the health status of fellow employees or to peer into the medical records of other individuals not under someone’s care, can result in progressive discipline or even termination.

November 13, 2015

Computer extracts cancer stage

Vanderbilt investigators developed a computerized natural language processing algorithm to extract cancer stages from electronic medical records.

September 23, 2015

Data diving for health

To most effectively use electronic health records for research, investigators should query multiple components of the record to identify patients with specific diseases.