Implementing Data Governance with Multi-Modal Privacy-Preserving Record Linkages between Restricted and Public Open Enclaves

Autor: Kenneth Gersing, Sam Michael, Fred Prior, Joel Saltz, Richard Moffitt, Sara Rogovin, Jasmin Phua, Shaun Grannis, Ben Amor, Andrew Girvin, Ahmad Baghal

Publikováno v: International Journal of Population Data Science, Vol 9, Iss 5 (2024)

Data centralization is increasingly non-viable in the changing landscape of data privacy and data governance. New models of data sharing are needed, in particular when privacy-preserving record linkages (PPRL) are being used to connect data within re

Externí odkaz: https://doaj.org/article/8ac34762bbe6458fb06a7ce0ec19d0ba

Quantifying care delivery team influences on the hospitalization outcomes of patients with multimorbidity: Implications for clinical informatics

Autor: Tremaine B Williams, Taiquitha Robins, Jennifer L Vincenzo, Riley Lipschitz, Ahmad Baghal, Kevin Wayne Sexton

Publikováno v: Journal of Multimorbidity and Comorbidity, Vol 13 (2023)

The primary objective was to quantify the influences of care delivery teams on the outcomes of patients with multimorbidity. Electronic medical record data on 68,883 patient care encounters (i.e., 54,664 patients) were extracted from the Arkansas Cli

Externí odkaz: https://doaj.org/article/d2a980df6a3b46d0940e674416b2eda8

API Driven On-Demand Participant ID Pseudonymization in Heterogeneous Multi-Study Research

Autor: Shorabuddin Syed, Mahanazuddin Syed, Hafsa Bareen Syeda, Maryam Garza, William Bennett, Jonathan Bona, Salma Begum, Ahmad Baghal, Meredith Zozus, Fred Prior

Publikováno v: Healthcare Informatics Research, Vol 27, Iss 1, Pp 39-47 (2021)

Objectives To facilitate clinical and translational research, imaging and non-imaging clinical data from multiple disparate systems must be aggregated for analysis. Study participant records from various sources are linked together and to patient rec

Externí odkaz: https://doaj.org/article/066b6d38d17649f6a5f7142b865e6ef2

Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models

Autor: Shorabuddin Syed, Ahmad Baghal, Fred Prior, Meredith Zozus, Shaymaa Al-Shukri, Hafsa Bareen Syeda, Maryam Garza, Salma Begum, Kim Gates, Mahanazuddin Syed, Kevin W. Sexton

Publikováno v: Healthcare Informatics Research, Vol 26, Iss 3, Pp 193-200 (2020)

Objectives The time-dependent study of comorbidities provides insight into disease progression and trajectory. We hypothesize that understanding longitudinal disease characteristics can lead to more timely intervention and improve clinical outcomes.

Externí odkaz: https://doaj.org/article/3a51942cbe8b48f98424ab424b1a33e0

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative

Autor: Emily R, Pfaff, Andrew T, Girvin, Davera L, Gabriel, Kristin, Kostka, Michele, Morris, Matvey B, Palchuk, Harold P, Lehmann, Benjamin, Amor, Mark, Bissell, Katie R, Bradwell, Sigfried, Gold, Stephanie S, Hong, Johanna, Loomba, Amin, Manna, Julie A, McMurry, Emily, Niehaus, Nabeel, Qureshi, Anita, Walden, Xiaohan Tanner, Zhang, Richard L, Zhu, Richard A, Moffitt, Melissa A, Haendel, Christopher G, Chute, William G, Adams, Shaymaa, Al-Shukri, Alfred, Anzalone, Ahmad, Baghal, Tellen D, Bennett, Elmer V, Bernstam, Mark M, Bissell, Brian, Bush, Thomas R, Campion, Victor, Castro, Jack, Chang, Deepa D, Chaudhari, Wenjin, Chen, San, Chu, James J, Cimino, Keith A, Crandall, Mark, Crooks, Sara J Deakyne, Davies, John, DiPalazzo, David, Dorr, Dan, Eckrich, Sarah E, Eltinge, Daniel G, Fort, George, Golovko, Snehil, Gupta, Janos G, Hajagos, David A, Hanauer, Brett M, Harnett, Ronald, Horswell, Nancy, Huang, Steven G, Johnson, Michael, Kahn, Kamil, Khanipov, Curtis, Kieler, Katherine Ruiz De, Luzuriaga, Sarah, Maidlow, Ashley, Martinez, Jomol, Mathew, James C, McClay, Gabriel, McMahan, Brian, Melancon, Stephane, Meystre, Lucio, Miele, Hiroki, Morizono, Ray, Pablo, Lav, Patel, Jimmy, Phuong, Daniel J, Popham, Claudia, Pulgarin, Carlos, Santos, Indra Neil, Sarkar, Nancy, Sazo, Soko, Setoguchi, Selvin, Soby, Sirisha, Surampalli, Christine, Suver, Uma Maheswara Reddy, Vangala, Shyam, Visweswaran, James von, Oehsen, Kellie M, Walters, Laura, Wiley, David A, Williams, Adrian, Zai

Publikováno v: Journal of the American Medical Informatics Association : JAMIA

Objective In response to COVID-19, the informatics community united to aggregate as much clinical data as possible to characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3533d16eaddda730bcfae1d98babd62d
https://ora.ox.ac.uk/objects/uuid:b846d295-7fb7-4e4f-b878-2edbdca8fe09