Nicholas Cordella

Understanding Patient Perspectives on Digital Smoking History Data Collection

Kayla Christine Jones, Lauren E. Kearney, Emily M. Jansen, Nicholas Cordella et autres

Background: Lung cancer screening with an annual low-dose CT scan is recommended by the US Preventive Services Task Force for high-risk patients based on age (50-80 years of age) and smoking history (≥ 20 pack-years). Inaccurate smoking history data in the electronic …

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Accounting for racial bias and social determinants of health in a model of hypertension control

Hu Yang, Nicholas Cordella, Rebecca Grochow Mishuris, Ioannis Ch. Paschalidis

Hypertension control remains a critical problem and most of the existing literature views it from a clinical perspective, overlooking the role of sociodemographic factors. This study aims to identify patients with not well-controlled hypertension using readily available demographic and socioeconomic features and …

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Iterative Development of a Clinical Decision Support Tool to Enhance Naloxone Coprescribing

Richard Wu, Tim Eynatian, Rebecca Grochow Mishuris, Nicholas Cordella

Abstract Background Opioid overdoses have contributed significantly to mortality in the United States. Despite long-standing recommendations from the Centers for Disease Control and Prevention to coprescribe naloxone for patients receiving opioids who are at high risk of overdose, compliance with these guidelines …

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UNDERSTANDING DISPARITIES IN LUNG CANCER SCREENING ENGAGEMENT AMONG BLACK PATIENTS AT A SAFETY NET HOSPITAL: A QUALITATIVE ANALYSIS

Lauren N. Kearney, BURTON H SHEN, SARA SHUSTERMAN, Gemmae M. Fix et autres

Artificial Intelligence and the Practice of Patient Safety: GPT-4 Performance on a Standardized Test of Safety Knowledge

Nicholas Cordella, James M Moses

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Population Health Nurse–Driven Lung Cancer Screening

Emily M. Jansen, J Bolivar, Sandra Auguste, Mary Clancy et autres

Despite evidence supporting lung cancer screening (LCS) with low-dose computed tomography imaging, LCS rates remain as low as 5% nationally. Many barriers to screening have been identified, including but not limited to the following: competing priorities in the medical visit, lack of …

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Efficacy of Digital Outreach Strategies for Collecting Smoking Data: Pragmatic Randomized Trial

Lauren E. Kearney, Emily M. Jansen, Hasmeena Kathuria, Katrina A. Steiling et autres

Background Tobacco smoking is an important risk factor for disease, but inaccurate smoking history data in the electronic medical record (EMR) limits the reach of lung cancer screening (LCS) and tobacco cessation interventions. Patient-generated health data is a novel approach to documenting …

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Efficacy of Digital Outreach Strategies for Collecting Smoking Data: Pragmatic Randomized Trial (Preprint)

Lauren E. Kearney, Emily M. Jansen, Hasmeena Kathuria, Katrina A. Steiling et autres

BACKGROUND Tobacco smoking is an important risk factor for disease, but inaccurate smoking history data in the electronic medical record (EMR) limits the reach of lung cancer screening (LCS) and tobacco cessation interventions. Patient-generated health data is a novel approach to documenting …

Personalized hypertension treatment recommendations by a data-driven model

Yang Hu, Jasmine Huerta, Nicholas Cordella, Rebecca Grochow Mishuris et autres

BACKGROUND: Hypertension is a prevalent cardiovascular disease with severe longer-term implications. Conventional management based on clinical guidelines does not facilitate personalized treatment that accounts for a richer set of patient characteristics. METHODS: Records from 1/1/2012 to 1/1/2020 at the Boston Medical Center …

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Additional file 1 of Personalized hypertension treatment recommendations by a data-driven model

Yang Hu, Jasmine Huerta, Nicholas Cordella, Rebecca Grochow Mishuris et autres

Additional file 1. 5 examples of prescription recommendations from 350 generated patients' samples.

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Accounting for Racial Bias and Social Determinants of Health in a Model of Hypertension Control

Hu Yang, Nicholas Cordella, Rebecca Grochow Mishuris, Ioannis Ch. Paschalidis

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A Web Application for Adrenal Incidentaloma Identification, Tracking, and Management Using Machine Learning

Wasif Bala, Jackson Steinkamp, Timothy Feeney, Avneesh Gupta et autres

BACKGROUND: Incidental radiographic findings, such as adrenal nodules, are commonly identified in imaging studies and documented in radiology reports. However, patients with such findings frequently do not receive appropriate follow-up, partially due to the lack of tools for the management of such …

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