Creation of a JEDI-AI Case Study Series
Co-developed educational case studies focused on justice, ethics, diversity, and inclusion (JEDI) in the development and use of artificial intelligence (AI) approaches in digital health. The long-term goal is to build capacity and resources in bioethics through interdisciplinary collaboration in the emerging area of digital health and AI, and train scholars and scientists to integrate JEDI in addressing ethical issues in technology development and their clinical applications.
Health Disparities and Minority Health (HDMH) Monitor / Principal developer
The Health Disparities and Minority Health (HDMH) Monitor is an online article repository and interactive dashboard that leverages natural language processing and machine learning methods to support scientific discovery via automated archive, search, information synthesis, and data visualization of articles concerning HDMH in MEDLINE. It is based on a large-scale computational scoping review aimed at characterizing major topics found among nearly a quarter million scientific articles in the HDMH literature, examining change in topic mention over time, identifying notable gaps in coverage, and deriving actionable insights for further inquiry.
C-REACT: Contextualized Race and Ethnicity Annotations for Clinical Text / Co-developer
The C-REACT dataset is a large publicly-available corpus of sentences from clinical notes manually annotated for information related to race and ethnicity (RE). This corpus contains two sets of gold-standard annotations for RE data. The first set contains granular RE-information such as patient country of origin and spoken language. The second set of annotations contains RE labels manually assigned by clinicians. This corpus is intended to improve understanding about granular information related to RE contained within the clinical note and how this information might be used to infer RE.
HERA: Health Equity Research Assessment / Co-developer
The Health Equity Research Assessment (HERA) is a large-scale characterization conducted across Observational Health Data Science Informatics (OHDSI) sites with heterogeneous populations and insurance coverage types, allowing for identification of persistent and generalizable trends in diagnosis differences. The HERA dashboard and visualizations can be used to download study data, further investigate health differences, and generate novel hypotheses.
Covidwatcher is an app and online portal that surveyed users about their exposure to COVID-19, symptoms, access to medical care, and impact on daily life. The data collected was used to track the spread of coronavirus, giving citizens real-time information about hot spots, and enabling health care officials to deploy resources where needed most.
Harvard PEPFAR Nigeria Pediatric quality improvement tool / Co-developer
Co-developed and evaluated a utility to extract information from electronic health record (EHR) data warehouse and generate measures based on 23 pediatric quality of care indicators at 33 Harvard PEPFAR sites in Nigeria. Programmed module to review continuity of care, drug therapy initiation, medication adherence, loss to follow-up, laboratory monitoring, disease screening based on clinical symptoms assessment or diagnostic evaluation, treatment failure, toxicity management, nutritional assessment, and treatment response.
Harvard PEPFAR Nigeria Adult quality improvement tool / Co-developer
Co-developed and evaluated a utility to extract information from EHR data warehouse and generate measures based on 15 adult quality of care indicators at 33 Harvard PEPFAR sites in Nigeria. Module reviews continuity of care, drug therapy initiation, loss to follow-up, laboratory monitoring, disease screening based on clinical symptoms assessment, treatment failure, and treatment response.
Harvard PEPFAR Nigeria Data quality assessment tool, version 2.0 / Co-developer
Instituted major modifications to and evaluated a pre-existing EHR utility to incorporate expanded data quality indicators at 33 Harvard PEPFAR sites in Nigeria. With this utility, central and site-level data managers are able to better monitor and improve data completeness, validity, accuracy, and currency.
Clinical and Translational Science Award
National Center for Advancing Translational Sciences (NCATS) 3UL1TR001873-08S1
Graduate Research Student (PI: Reilly)
Aim: To investigate justice, equity, diversity and inclusion (JEDI) in ethical frameworks applied to research on artificial intelligence in digital health and create educational case studies for identifying ethical issues related to JEDI and discussing potential approaches to integrate JEDI goals.
A Multicenter Randomized Controlled Trial of Pharmacist-Directed Transitional Care to Reduce Post-Hospitalization Utilization
National Institute on Aging (NIA) R01 AG 058911-01
Project Manager (Site PI: Schnipper)
Aim: To measure the impact of pharmacist-led discharge (PHARM-DC) interventions on post-discharge utilization within 30 days and identify patient subpopulations most likely to benefit from PHARM-DC.
Novel electronic health record phenotyping of LGBTQ intersectional identities and associated health disparities using natural language processing and machine learning
Harvard Catalyst
Co-Investigator (PI: Zhou)
Aim: To examine documentation of sexual orientation and gender identity (SOGI) in the electronic health record (EHR) and characterize LGBTQ health and potential health inequities.
Electronic Medication Adherence Reporting and Feedback During Care Transitions
Agency for Healthcare Research and Quality (AHRQ) R21 HS 024587-01
Project Manager/Statistical Programmer (PI: Schnipper)
Aim: To implement a smart pillbox intervention for patients discharged from the hospital to the community and to evaluate the effects of the intervention on post-discharge medication discrepancies, medication adherence, and chronic disease management.
Implementation of a Medication Reconciliation Protocol to Improve Patient Safety
Agency for Healthcare Research and Quality (AHRQ) R18 HS 023757-01A1
Project Manager/Statistical Programmer (PI: Schnipper)
Aim: The long-term objective of this research is to widely disseminate, implement, and evaluate sustainable medication reconciliation interventions that improve patient safety during care transitions.
Clinician-Patient Relationships: Boundaries, Barriers, Breakdowns
Gold Foundation/Lucian Leape Family Foundation
Project Director (PI: Schiff)
Aim: This study examines physician attitudes and practices related to caring acts that have been questioned as “inappropriate” or “unethical” crossing of professional-patient boundaries.
Understanding and Preventing Diagnostic Pitfalls
Risk Management Foundations of the Harvard Medical Institutions (CRICO)
Project Director (PI: Schiff)
Aim: The goal of this project is to identify leading diagnostic pitfalls that pose safety and malpractice risks, then design and test the accuracy of electronic screens for these pitfalls in the electronic health record.
Evaluating Variation in Overactive Bladder Medication Use and Other Treatment Options
Astellas Pharma US, Inc.
Statistical Programmer (PI: Loughlin)
Aim: To understand variation in overactive bladder treatment, medication adherence, and outcomes.
Are Physicians and Patients Adhering to the Published Guidelines for Fasting during Ramadan?
Martin P. Solomon Award for Primary Care Scholarship
Co-Investigator (PI: Ali)
Aim: To measure differences in rates of health care utilization for Muslim patients just prior to, during, and after Ramadan.
BWH DGIM Research Day
Brigham Research Institute/Office for Research Careers Microgrant Pilot Program
Principal Investigator ($1,000)
Aim: To develop the first annual Division-wide retreat for showcasing contributions and promoting career development of research assistants in the Division of General Internal Medicine and Primary Care at Brigham and Women’s Hospital.
Patient Outcomes Associated with Year-End Departure of Resident Primary Care Physicians
Support for Excellence in Educational Development (SEED) Grant, BWH
Co-Investigator/Statistical Programmer (PI: Solomon)
Aim: To investigate whether acute care utilization is increased disproportionately among patients of graduating resident physicians compared to non-graduating residents.
Acute Respiratory Infection Telephone Management Service
Brigham and Women’s Physicians Organization Care Redesign Incubator and Startup Program
Data Manager (PI: Linder)
Aim: To develop, implement, and evaluate an acute respiratory infection telephone management service at one of the Brigham and Women’s Primary Care Practices.
Medical Malpractice and Patient Safety Protocol / Proactive Reducation of Outpatient Malpractice: Improving Safety, Efficiency, and Satisfaction (PROMISES)
Agency for Healthcare Research and Quality (AHRQ) 1R18HS019508-01
Project Manager (PI: Schiff)
Aim: To test the impact of quality improvement techniques to accomplish innovations and improvements in 3 high risk ambulatory malpractice areas: 1) medication management, 2) test ordering and results management 3) follow-up and referral management.
Use of Behavioral Economics to Improve Treatment of Acute Respiratory Infections
National Institutes of Health/University of Southern California 1RC4AG039115-01
Data Manager/Statistical Programmer (Site PI: Linder)
Aim: To evaluate the use of behavioral economic concepts such as enhanced defaults, alternative options, and social norms on inappropriate antibiotic prescribing for acute respiratory infections.
U.S. President’s Emergency Plan for AIDS Relief (PEPFAR)
Health Resources and Services Administration (HRSA) U51HA02522
Data Quality Assurance Manager / Data, Training, and Education Coordinator (PI: Kanki)
A $362 million grant for work in Nigeria, Botswana, and Tanzania to train health care workers, develop monitoring and evaluation systems, strengthen health care infrastructures, and collaborate with local hospitals and clinics that provide treatment for people living with HIV/AIDS.
Pharmacist Intervention to Decrease Medication Errors in Heart Disease Patients (PILL-CVD)
National Heart, Lung, and Blood Institute (NHLBI), R01HL089755
Research Assistant (Site PI: Schnipper)
Aim: To evaluate a literacy-focused program that provides educational assistance from pharmacists at the time of hospital discharge to people hospitalized with heart problems.
Influenza in the Partners Primary Care Practice-Based Research Network
Roche Laboratories, RLI 06001207
Research Assistant (PI: Linder)
Aim: To measure and evaluate antiviral and antibiotic prescribing for patients with influenza being treated in primary care clinics.
A Computational Method to Identify Intersectional Disparities
Aim: To develop and evaluate a novel supervised clustering approach to perform subgroup
discovery and identify distinct subpopulations at greater risk for experiencing health disparities.
Differential Presentation and Treatment of Acute Myocardial Infarction
Aim: To characterize sex-based differences in time-to-treatment based on sign or symptom
documentation when presenting to the emergency department with acute myocardial infarction
and its resulting impact on patient outcomes across intersecting dimensions of sex, race, ethnicity and age.
Elucidating Differential Presentation and Disparities in Time-to-Treatment of Acute Myocardial Infarction
Aim: To characterize differences in time-to-treatment based on sign or symptom documentation when presenting to the emergency department with acute myocardial infarction and its impact on patient outcomes across the dimensions of gender, race, and age.
Development and Validation of an Electronic Screening Tool for Endometriosis
Aim: To develop machine learning models to improve endometriosis screening. To date, our best performing models have proven capable of detecting cases up to 3 years prior to original diagnosis date with robust accuracy, precision, and recall.
The Impact of Evolving Endometriosis Guidelines on Diagnosis and Observational Health Studies
Aim: To investigate how expanding clinical guidelines for the diagnosis of endometriosis might impact observational health research by comparing demographics and clinical histories across five endometriosis phenotypes involving laparoscopy, imaging, and symptoms using national insurance claims data on millions of women.