Brigham and Women's Hospital

Improving Allergy Documentation and Clinical Decision Support in the Electronic Health Record

Description: 

This project will redesign approaches for collecting and using allergy information with the goal of improving healthcare quality and safety, including completeness and accuracy of allergy data.

Principal Investigator: 
Project Dates: 
May 7, 2018 to April 30, 2022

Identification of Patients with Low Life Expectancy

Description: 

This project will use natural language processing and dynamic logic to create a high-fidelity model of risk of death to identify patients with low life expectancy.

Principal Investigator: 
Project Dates: 
August 1, 2015 to May 31, 2019

Encoding and Processing Patient Allergy Information in EHRs

Description: 

The research team developed and evaluated a natural language processing allergy module that was used to study different types of allergies in an electronic health record.

Principal Investigator: 
Project Dates: 
September 30, 2013 to September 29, 2018

Interactive Patient-Centered Discharge Toolkit To Promote Self-Management During Transitions

Description: 

This project will implement and evaluate a previously developed, interactive, patient-centered discharge toolkit to improve the transition of care from the inpatient to outpatient settings.

Principal Investigator: 
Project Dates: 
September 1, 2016 to August 31, 2019

Electronic Medication Adherence Reporting and Feedback During Care Transitions

Description: 

This project will implement and evaluate a “smart” pillbox given to patients in order to understand its ability to minimize discrepancies in prescribed regimens and to improve patients’ medication adherence after hospital discharge.

Principal Investigator: 
Project Dates: 
May 1, 2016 to April 30, 2019

NLP to Improve Accuracy and Quality of Dictated Medical Documents

Description: 

This project will study the impact of errors in medical documents on quality of care and develop innovative natural language processing methods to automatically detect errors so that physicians can correct the documents before finalizing them in the electronic health record.

Principal Investigator: 
Project Dates: 
September 30, 2015 to September 29, 2019

Enhancing Medication CPOE Safety and Quality by Indications-Based Prescribing

Description: 

This project convened stakeholder panels to inform the development of an indications-enabled computerized prescriber order entry system.

Principal Investigator: 
Project Dates: 
September 30, 2014 to March 31, 2018

Massachusetts Office Practice Survey

Description: 

This is a questionnaire designed to be completed by administrators and clinical staff in an ambulatory setting. The tool includes questions to assess the current state of electronic health records.

Year of Survey: 
2005

Ensuring Safe Performance of Electronic Health Records

Description: 

This project will refine the Leapfrog Computerized Provider Order Entry (CPOE)/Electronic Health Record (EHR) test – a “flight simulator” for EHRs with CPOE which evaluates the safety performance of EHRs after deployment, with a particular focus on high impact patient safety and medication safety problems.

Principal Investigator: 
Project Dates: 
September 1, 2014 to September 29, 2019

Automated Notification for Followup Testing Recommendations Across Care Settings

Description: 

This project built an automated intervention that recognized critical imaging results that require additional testing and populated a discharge summary with recommendations, resulting in improved patient followup.

Principal Investigator: 
Project Dates: 
July 1, 2014 to June 30, 2017