electronic health records (EHRs) Archive — Page 11 of 12

Large outdoor crowd gathered on tiered steps, with many people standing, watching, and taking photos in bright sunlight.
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).

Close-up of a woman’s hands with red-painted fingernails holding a pen and completing a printed questionnaire on a blue clipboard.
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.

Red baseball cap overlapping a large black capital letter R.
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.

Stethoscope resting on a computer keyboard in blue lighting.
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.

Blue healthcare technology graphic featuring a large white medical cross, glowing digital wave lines, binary digits, and smaller icons for a person, water droplet, capsule, medical kit, heart, and envelope.
November 13, 2015

Computer extracts cancer stage

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

Stethoscope resting on a laptop keyboard.
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.