Center’s Research

The Center performs interdisciplinary research and seeks to improve human health by studying and facilitating effective use of diverse biomedical data. Our focus is on the exchange of health information, standards and terminologies, information access and sharing, data aggregation and harmonization, digital knowledge generation and management, problem solving, and decision-making.

Our research is focused on precision health and improving personalized care delivery using big data analytics, predictive modeling, and deep phenotyping. We employ multidisciplinary approaches from basic sciences, biomedical informatics, engineering, computer and data sciences, medicine and dentistry, and system biology. By integrating these sources of information, we can develop innovative solutions for personalized health care.

The research projects at the Center for Biomedical and Population Health Informatics are aligned with the major domains of biomedical informatics. These include research informatics, translational informatics, health care informatics, and public health informatics. We describe each of these areas below.

Research informatics projects provide approaches, methodology, and architecture supporting pre-clinical, clinical, and translational research. The projects promote patient engagement in clinical trials, data collection tools, and management of clinical research data. In addition, these projects involve integrative informatics approaches for harmonized aggregation, visualization, and sharing of heterogeneous biological and health care data streams.

Translational informatics projects include big data analytics; predictive modeling; novel techniques for integrative analysis of biological and clinical data; precision medicine; deep phenotyping; computerized analysis of genetic variation, proteomics, metabolome, microbiome, and exposome; and examination of links between personalized health and systemic conditions.

Health care informatics projects encompass innovations in electronic health records, clinical decision support, quality improvement, patient safety, telemedicine, telerehabilitation, digital and mobile health, consumer informatics, personalized care delivery, real-time asset management, value-based care systems, and learning health care systems.

Population health informatics projects include development and evaluation of innovative approaches for population health literacy, health decision aids, health outcomes research, risk stratification, and population surveillance.

Presentations

Entity Extraction for Clinical Notes, a Comparison Between MetaMap and Amazon Comprehend Medical
​Shah-Mohammadi F, Cui W, Finkelstein J
MIE 2021
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Comparative Analysis of Public Data Sets to Identify Stemness Markers that Differentiate Liver Cancer Stem Cells
Borziak K​, Finkelstein J
MIE 2021
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Introducing a platform for integrating and sharing stem cell research data
Borziak K, Parvanova I, Finkelstein J
MIE 2021
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Impact of COVID-19 Pandemic on Use of Telemedicine Services in an Academic Medical Center
Cui W, Finkelstein J
MIE 2021
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Identifying Common Outcome Sets in Covid-19 Clinical Trials Using ClinicalTrials.gov
​Parvanova I, Finkelstein J
MIE 2021
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Impact of COVID-19 Pandemic on the Use of Telemedicine in Academic Medical Center in New York City
Cui W, Finkelstein J
AMIA 2021
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Unsupervised Machine Learning for the Discovery of Latent Clusters in COVID-19 Patients Using Electronic Health Records
​Cui W, Robins D, Finkelstein J
ICIMTH 2020
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Disparities in Racial and Ethnic Representation in Stem Cell Clinical Trials
Parvanova I, Finkelstein J
ICIMTH 2020
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Fitbit Accuracy Depends on Activity Pace and Placement Location
Wei C, Robins D, Finkelstein J​
ICIMTH 2020
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Using Big Data to Predict Outcomes of Opioid Treatment Programs
Cui W, Bachi K, Hurd Y, Finkelstein J​
ICIMTH 2020
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Latent COVID-19 Clusters in Patients with Chronic Respiratory Conditions
Cui W, Cabrera M, Finkelstein J
EFMI STC 2020
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Mining Malpractice Claims to Identify Disparities between Younger and Older Adults
Cui W, Finkelstein J
NPDB
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Association between E-Cigarettes Use and Propensity for Risk Behavior
Huo X, Finkelstein J
AACR 2020
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Chronic Obstructive Pulmonary Disease as an Independent Risk Factor for Cancer
Huo X, Finkelstein J
AACR 2020
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Factors affecting disparities in delivery of preventive services to cancer survivors
Huo X, Finkelstein J
AACR 2020

Association between System Usage Pattern and Impact of Web-Based Telerehabilitation in Patients with Multiple Sclerosis
Jeong I C, Liu J, Finkelstein J
ICIMTH 2020

From Many to One: Designing a Unified Flowsheet in the EMR to Replace Multiple Disparate Devices
Robins D, Figee M, Mayberg H, Finkelstein J
ICIMTH 2020

Towards Intelligent Integration and Sharing of Stem Cell Research Data
Borziak K, Qi T, Evangelista J E, Clarke D J.B., Ma’ayan A, Finkelstein J
ICIMTH 2020

Introducing an Ontology-Driven Pipeline for the Identification of Common Data Elements
Elghafari A, Finkelstein J
ICIMTH 2020