Selected Ongoing Projects and Collaborations
Identifying and Addressing Missingness and Bias to Enhance Discovery from Multimodal Health Data
NIH/NLM 1R01LM014239
Zhou L, Hong P (MPI) 2023-2027
This project will focus on developing methods for real-time risk prediction and patient monitoring in the critical care and ICU settings that address issues of health diversity, equity, and inclusion through the use of fair machine learning algorithms to appropriately handle missingness and bias in clinical data.
Leveraging Longitudinal Data and Informatics Technology to Understand the Role of Bilingualism in Cognitive Resilience, Aging and Dementia
NIH/NIA R01 AG080429
Zhou L, Xu H (MPI) 2023-2028
The goal of this study to use longitudinal EHR data and patient survey data to study the role of bilingualism in cognitive reserve/resilience, aging and dementia. By leveraging large-scale data across diverse populations and advanced informatics technology (including natural language processing, machine learning, and statistical models), we aim to test and refine potential theories of bilingual effects on cognitive reserve and resilience to Alzheimer’s Disease and Alzheimer’s Disease Related Dementias (AD/ADRD), and improve our understanding of the complex interactions between neural, sociocultural, and clinical factors and the progression of cognitive decline and AD/ADRD in older adult.
Using Large Language Models to Identify Social Determinants of Health to Enhance Healthcare Services and Equity
AHRQ 1R21HS029991
Goss FR, Zhou L (MPI) 2024-2026
The goal of the study is to we use natural language processing and generative AI models to capture SDH information from patients. We will then process this information into discrete data elements that can then be passed into the EHR and acted upon by clinical decision support system. We will pilot this intervention in a large academic medical center that provides care to an at-risk patient population and community.
Personalized Risk-based Follow-up of Cervical Cancer Screening in Practice (PREDICT)
NIH/NCI R01CA288530
Haas J, Atlas S (MPI) 2024-2029
Comparing Adverse Discharge Outcomes in Virtual vs. In-Person Mental Health Partial Hospital Care
CRICO Research Grant
Busch A (PI) 2023-2025
Demonstrating the Potential for Electronic Health Record Interoperability to Improve Patient Safety Research of Older Adults over the Acute Episode of Care
NIH/NIA R01AG083035
Dalal A (PI) 2023-2026
Multiple Chronic COnditions MultiPle dAta souRcEs (MC-COMPARE)
NIH/NIA R01AG082931
Dorr D, Samal L (MPI) 2023-2026
Identification and Prevention of Potentially Inappropriate Inter-Hospital Transfers
AHRQ R01HS028621
Mueller S (PI) 2022-2027
Developing Scalable Algorithms to Incorporate Unstructured Electronic Health Records for Causal Inference based on Real-world Data
NIH/NLM R01LM013204
Lin J (PI) 2020-2025
Complexity, Incidence, and Costs Related to Delayed Diagnosis of Venous Thromboembolism in Urban and Rural Primary and Urgent Care Settings
AHRQ R01HS030221
Dykes P (PI) 2024-2028
Recent Completed Projects and Collaborations
Develop and open-source software for transforming ClinGen, ClinVar, and GenCC data datasets into machine learning ready formats
Broad Institute, Inc
L Matthew (PI) 2023-2024
Clinical Decision Support System for Early Detection of Cognitive Decline Using Electronic Health Records and Deep Learning
NIH/NIA R44AG081006
Du J, Manion FJ, Zhou L (MPI) 2023-2024
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) 2022-2023
Implementing and Piloting Mortality Prediction Models to Support Palliative Care in the Primary Care Setting
Brigham & Women’s Physician’s Organization
Lakin J, Zhou L (MPI) 2021-2023
Clinical Informatics to Advance Epidemiology and Pharmacogenetics of Serious Cutaneous Adverse Drug Reactions
NIH/NIAID — 1R01AI150295
Zhou L (PI) 2019–2023
eCQM: Rate of Delayed or Missed Follow-up on Abnormal Cancer Screening Tests in Primary Care
Gordon and Betty Moore Foundation
Syrowatka, A (PI) 2022-2023
Risk Factors for Psychosis and Mania with Prescription Amphetamine Use
NIH/NIMH 1R01MH122427
Moran L (PI; McLean Hospital) 2020–2024
CONCERN: Implementation Toolkit: Advancing Technology-enabled Nursing Expertise and Equitable Predictions
ANF CU-21-3594
PI: Rossetti S; Site-PI: Dykes P 2022 – 2025
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) 2019–2023
Promoting Follow-up of Abnormal Cancer Screening Tests Using Population-based Systems to Support Stepped Care Multilevel Intervention
NCI U01CA225451
Haas J, Atlas S, Tosteson A (MPI) 2018-2023
Identifying Adverse Drug Events in Ambulatory Care Clinical Notes
IBM-BWH Collaborative Research Project
Zhou L (PI/Project Lead) 2020–2022
Improving Allergy Documentation and Clinical Decision Support in the EHR
Agency for Healthcare Research and Quality (AHRQ) — R01HS025375
Zhou L (PI) 2018–2022
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 2020–2022
Communicating Narrative Concerns Entered by RNs (CONCERN): Clinical Decision Support Communication for Risky Patient States
NINR 1R01NR016941
Collins S (PI; Columbia University) 2017–2022
Representation of Unstructured Data Across Common Data Models
FDA
Marsolo K (PI) 2021-2022
Personalizing AAV Management by Leveraging Big Data: Targeting Complication Clusters
NIH/NIAMS R03AR078938
Wallace Z (PI) 2021-2022
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) 2020–2021
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) 2019–2020
From Sepsis Prognosis Prediction to Tailored Clinical Practice: A Deep Learning Approach
CRICO/RMF
Dykes P (PI) 2019–2021
Computerized Support for Malpractice Auditing and Coding
CRICO/RMF
Zhou L (PI) 2018–2019
Similar-cAses Finder for Risk Reduction – the SAFRR system
CRICO/RMF
Zhou L (PI) 2018–2020
Assessing Allergy Safety During Electronic Health Record Transitions
CRICO/RMF
Kimberly Blumenthal (PI; Mass General Hospital) 2018–2020
NLP to Improve Accuracy and Quality of Dictated Medical Documents
AHRQ R01HS024264
Zhou L (PI) 2015–2019
Encoding and Processing Patient Allergy Information in EHRs
AHRQ R01HS022728
Zhou L (PI) 2013–2018
NLP to Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department
AHRQ 1R21HS024541
Goss FR (PI) 2016–2018