electronic health records (EHRs) Archive — Page 10 of 11

close up of male doctor looking at ipad
August 31, 2017

Study seeks to streamline validation of EHR data

Vanderbilt University Medical Center has been approved for a $1 million funding award by the Patient-Centered Outcomes Research Institute (PCORI) to study more efficient and feasible ways to validate electronic health records (EHR) and incorporate this information into medical studies.

August 10, 2017

Focus on Epic: EpicLeap to make care seamless at VUMC

EpicLeap, a project that will transform patient care at Vanderbilt University Medical Center (VUMC) through new technology and processes, started in 2015 with a notification from a technology vendor. A few of the key pieces of software VUMC uses to currently provide care were no longer going to be supported by the vendor. Vanderbilt’s HealthIT team was then faced with a crucial decision — they could provide support for the software bundle themselves, upgrade to the vendor’s suggested replacements, or consider a totally different solution altogether.

April 5, 2017

Risky business

Vanderbilt investigators have developed hospital readmission models that may help prevent payment penalties to hospitals when patients are readmitted too soon after discharge.

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.