skip to Main Content

Current Major Grants and Projects


Using Real-Time Automated Detection and Clinical Decision Support to Improve Lung-Protective Ventilation in Intensive Care

BWH Health & Technology Innovation Fund

Zhou Li (PI) 7/1/2022-6/30/2023

A significant number of patients in need of intensive care experience acute respiratory failure, yet fewer than two-thirds are recipients of lifesaving lung-protective ventilatory care. We will develop a computerized clinical decision support tool that leverages real-time ventilation data and electronic health records to provide the immediate, precise and safe bedside care necessary to protect against potentially fatal ventilation-associated lung injuries

Identifying Adverse Drug Events in Ambulatory Care Clinical Notes

IBM-BWH Collaborative Research Project

Zhou L (PI/Project Lead) 11/1/2020–10/31/2022

The goal is to investigate, characterize and annotate adverse drug events (ADEs) documented in ambulatory care clinical notes and to assess the ability of NLP and machine learning to identify ADEs.

Clinical Informatics to Advance Epidemiology and Pharmacogenetics of Serious Cutaneous Adverse Drug Reactions

NIH-NIAID — 1R01AI150295

Zhou L (PI) 09/16/2019–08/31/2023

The goal is to leverage advanced informatics and longitudinal EHR data to identify severe cutaneous adverse reactions (SCAR) cases to study genetic and epidemiological risk factors for SCAR related to commonly used drugs such as antibiotics.

Improving Allergy Documentation and Clinical Decision Support in the EHR

Agency for Healthcare Research and Quality (AHRQ) — R01HS025375

Zhou L (PI) 05/07/2018–04/30/2022

The goal of this study is to improve allergy documentation by developing a comprehensive and interactive value set for reaction mechanism and type, developing an innovative allergy reconciliation module within the EHR, and redesigning drug allergy alerting mechanisms using big data analytics and up-to-date evidence.

Developing Scalable Algorithms to Incorporate Unstructured Electronic Health Records for Causal Inference based on Real-world Data

NIH/NLM 1R01LM013204

Lin J (PI) 06/1/2020–03/31/2025

Evaluating and Improving the Accuracy of ICD-Coded Hospital Data Systems in Estimating the Incidence of Nonfatal Firearm Injuries by Intent Type

National Collaborative on Gun Violence Research (NCGVR)

Miller, M (Northeastern University); Goralnick, E 09/1/2020–08/31/2022

Risk Factors for Psychosis and Mania with Prescription Amphetamine Use

NIH/NIMH 1R01MH122427

Moran L (PI; McLean Hospital) 06/10/2020–04/30/2024

Assessing the effectiveness of oral anticoagulants in patients with atrial fibrillation at high risk of underutilization due to dementia, recurrent falls, or poor anticoagulation quality

NIH-NIA R01AG063381

Lin J (PI) 05/01/2019–04/30/2023

Promoting follow-up of abnormal cancer screening tests using population-based systems to support stepped care multilevel intervention

NIH-NCI U01CA225451

Haas J (PI; Mass General Hospital) 04/01/2018–09/30/2022

Communicating Narrative Concerns Entered by RNs (CONCERN): Clinical Decision Support Communication for Risky Patient States

NINR — 1R01NR016941

Collins S (PI; Columbia University) 04/06/2017–03/31/2022

Representation of Unstructured Data Across Common Data Models


Marsolo K (PI) 2021-2022

Personalizing AAV Management by Leveraging Big Data: Targeting Complication Clusters


Wallace Z (PI) 2021-2022

Recent Completed Grants and Collaborations

Investigating sex differences in subjective cognitive decline across patients captured in electronic health records

The Program for Interdisciplinary Neuroscience (PIN) and the Women’s Brain Initiative (WBI), BWH

Wang L (PI) 03/1/2020–02/28/2021

Finding Needles in the Haystack: Using Clinical Data and Machine Learning to Identify Patients for Early Palliative Care Interventions

Partners Healthcare Innovation

Zhou L (PI) 05/01/2019–04/30/2020

From Sepsis Prognosis Prediction to Tailored Clinical Practice: A Deep Learning Approach


Dykes P (PI) 07/01/2019–06/30/2021

Computerized Support for Malpractice Auditing and Coding


Zhou L (PI) 07/01/2018–12/30/2019

Similar-cAses Finder for Risk Reduction – the SAFRR system


Zhou L (PI) 07/01/2018–06/30/2020

Assessing Allergy Safety During Electronic Health Record Transitions


Kimberly Blumenthal (PI; Mass General Hospital)           07/01/2018–06/30/2020

NLP to Improve Accuracy and Quality of Dictated Medical Documents

Agency for Healthcare Research and Quality (AHRQ) — R01HS024264

Zhou L (PI) 09/30/2015–09/29/2019

Encoding and Processing Patient Allergy Information in EHRs

Agency for Healthcare Research and Quality (AHRQ) — R01HS022728

Zhou L (PI) 09/30/2013–9/30/2018

Novel electronic health record phenotyping of LGBTQ intersectional identities and associated health disparities using NLP and machine learning approaches

Harvard Catalyst Health Disparities Research Program and President and Fellows of Harvard College — 2016D010012

Zhou L (PI) 07/01/2017–06/30/2018

NLP to Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department

Agency for Healthcare Research and Quality (AHRQ) — 1R21HS024541

Goss FR (PI) 09/01/2016–8/31/2018

Back To Top