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Profil bibliographique

Frank DeFalco

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

54Publications signalées
1839Citations signalées
0Affiliations récentes

Les domaines associés

Diabetes Treatment and ManagementCOVID-19 Clinical Research StudiesElectronic Health Records SystemsHealth Systems, Economic Evaluations, Quality of LifeGenetic Associations and Epidemiology

Les publications récentes

Accès ouvert 2025 article OpenAlex

Evaluation of the impact of defining observable time in real-world data on outcome incidence

Clair Blacketer, Frank DeFalco, Mitchell M. Conover, Patrick B. Ryan et autres

OBJECTIVE: In real-world data (RWD), defining the observation period-the time during which a patient is considered observable-is critical for estimating incidence rates (IRs) and other outcomes. Yet, in the absence of explicit enrollment information, this period must often be inferred, introducing potential …

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0 citations Journal of the American Medical Informatics Association
Accès ouvert 2025 article OpenAlex

A rapid cycle analytics framework for vaccine safety surveillance within a real-world data network: Experience with enhanced surveillance of the Janssen COVID-19 vaccine

E. Claire Newbern, Azza Shoaibi, Kevin Haynes, Clair Blacketer et autres

OBJECTIVE: To complement and support routine pharmacovigilance, Janssen conducted rapid real-world data analyses for near real-time safety monitoring of the Janssen COVID-19 vaccine and to contextualize potential safety signals. METHODS: Analyses were performed in four U.S. healthcare claims databases (February 2022-May 2023) …

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4 citations Vaccine
Accès ouvert 2025 article OpenAlex

CohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization

Gowtham Rao, Azza Shoaibi, Rupa Makadia, Jill H. Hardin et autres

OBJECTIVE: This paper introduces a novel framework for evaluating phenotype algorithms (PAs) using the open-source tool, Cohort Diagnostics. MATERIALS AND METHODS: The method is based on several diagnostic criteria to evaluate a patient cohort returned by a PA. Diagnostics include estimates of …

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10 citations PLoS ONE
Accès ouvert 2024 preprint OpenAlex

The Impact of Evolving Endometriosis Guidelines on Diagnosis and Observational Health Studies

Harry Reyes Nieva, Aparajita Kashyap, Erica A. Voss, Anna Ostropolets et autres

STUDY QUESTION: Do recent changes in European Society of Human Reproduction and Embryology (ESHRE) clinical guidelines result in more comprehensive diagnosis of women with endometriosis? SUMMARY ANSWER: The latest shift in clinical guidelines results in diagnosis of more women with endometriosis but …

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2 citations medRxiv
2024 conference-abstract OpenAlex

Abstract 4143017: Insights for Direct-to-Patient Clinical Trial Recruitment Strategies From the Heartline Study

Mellanie True Hills, Serge Korjian, Gerald Chi, Andrea Natale et autres

Background: Decentralized clinical trials using direct-to-participant recruitment can potentially engage large, representative participant pools. Research Question: Can a decentralized clinical trial use a multichannel approach to recruit patients >65 years old across the United States? Goals/Aims: To share insights on multichannel strategies …

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0 citations Circulation
Accès ouvert 2024 book-chapter OpenAlex

Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research

Martijn J. Schuemie, Jenna Reps, Adam W. Black, Frank DeFalco et autres

The Health-Analytics Data to Evidence Suite (HADES) is an open-source software collection developed by Observational Health Data Sciences and Informatics (OHDSI). It executes directly against healthcare data such as electronic health records and administrative claims, that have been converted to the Observational …

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26 citations Studies in health technology and informatics
Accès ouvert 2023 preprint OpenAlex

CohortDiagnostics: phenotype evaluation across a network of observational data sources using population-level characterization

Gowtham Rao, Azza Shoaibi, Rupa Makadia, Jill H. Hardin et autres

ABSTRACT Objective This paper introduces a novel framework for evaluating phenotype algorithms (PAs) using the open-source tool, Cohort Diagnostics. Materials and Methods The method is based on several diagnostic criteria to evaluate a patient cohort returned by a PA. Diagnostics include estimates …

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4 citations medRxiv
Accès ouvert 2023 dataset OpenAlex

Achilles: Achilles Data Source Characterization

Frank DeFalco, Patrick B. Ryan, Martijn J. Schuemie, Vojtech Huser et autres

Automated Characterization of Health Information at Large-Scale Longitudinal Evidence Systems. Creates a descriptive statistics summary for an Observational Medical Outcomes Partnership Common Data Model standardized data source. This package includes functions for executing summary queries on the specified data source and exporting …

0 citations
Accès ouvert 2022 article OpenAlex

Empirical assessment of alternative methods for identifying seasonality in observational healthcare data

Anthony Molinaro, Frank DeFalco

BACKGROUND: Seasonality classification is a well-known and important part of time series analysis. Understanding the seasonality of a biological event can contribute to an improved understanding of its causes and help guide appropriate responses. Observational data, however, are not comprised of biological …

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10 citations BMC Medical Research Methodology
Accès ouvert 2022 article OpenAlex

Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study

Azza Shoaibi, Gowtham Rao, Erica A. Voss, Anna Ostropolets et autres

INTRODUCTION: Vaccine-induced thrombotic thrombocytopenia (VITT) has been identified as a rare but serious adverse event associated with coronavirus disease 2019 (COVID-19) vaccines. OBJECTIVES: In this study, we explored the pre-pandemic co-occurrence of thrombosis with thrombocytopenia (TWT) using 17 observational health data sources …

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10 citations Drug Safety
Accès ouvert 2022 article OpenAlex

Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS

Kristin Kostka, Talita Duarte‐Salles, Albert Prats‐Uribe, Anthony G. Sena et autres

Purpose: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Health Associated Risks and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) …

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26 citations Clinical Epidemiology

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