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Lucila Ohno-Machado, MD PhD

University of California, San Diego

PI: Admin Core lead

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Related publications

Blockchain-Enabled Immutable, Distributed, and Highly Available Clinical Research Activity Logging System for Federated COVID-19 Data Analysis from Multiple Institutions.

Tsung-Ting Kuo, Anh Pham, Maxim E Edelson, Jihoon Kim, Jason Chan, Yash Gupta, Lucila Ohno-Machado
March 14, 2023

OBJECTIVE: We aimed to develop a distributed, immutable, and highly available cross-cloud blockchain system to facilitate federated data analysis activities among multiple institutions. MATERIALS AND METHODS: We pre-processed 9,166 COVID-19…

Concordance of SARS-CoV-2 Antibody Results during a Period of Low Prevalence.

Cheryl N Miller, Keri N Althoff, David J Schlueter, Hoda Anton-Culver, Qingxia Chen, Shawn Garbett, Francis Ratsimbazafy, Isaac Thomsen, Elizabeth W Karlson, Mine Cicek, Ligia A Pinto, Bradley A Malin, Lucila Ohno-Machado, Carolyn Williams, David Goldstein, Aymone Kouame, Andrea Ramirez, Kelly A Gebo, Sheri D Schully
September 29, 2022

Accurate, highly specific immunoassays for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are needed to evaluate seroprevalence. This study investigated the concordance of results across four immunoassays targeting different antigens…

Antibodies to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in All of Us Research Program Participants, 2 January to 18 March 2020.

Keri N Althoff, David J Schlueter, Hoda Anton-Culver, James Cherry, Joshua C Denny, Isaac Thomsen, Elizabeth W Karlson, Fiona P Havers, Mine S Cicek, Stephen N Thibodeau, Ligia A Pinto, Douglas Lowy, Bradley A Malin, Lucila Ohno-Machado, Carolyn Williams, David Goldstein, Aymone Kouame, Andrea Ramirez, Adrienne Roman, Norman E Sharpless, Kelly A Gebo, Sheri D Schully
March 1, 2022

BACKGROUND: With limited severe acute respiratory syndrome coronavirus (SARS-CoV-2) testing capacity in the United States at the start of the epidemic (January-March 2020), testing was focused on symptomatic patients with…

Privacy-protecting, reliable response data discovery using COVID-19 patient observations.

Jihoon Kim, Larissa Neumann, Paulina Paul, Michele E Day, Michael Aratow, Douglas S Bell, Jason N Doctor, Ludwig C Hinske, Xiaoqian Jiang, Katherine K Kim, Michael E Matheny, Daniella Meeker, Mark J Pletcher, Lisa M Schilling, Spencer SooHoo, Hua Xu, Kai Zheng, Lucila Ohno-Machado
July 30, 2021

OBJECTIVE: To utilize, in an individual and institutional privacy-preserving manner, electronic health record (EHR) data from 202 hospitals by analyzing answers to COVID-19-related questions and posting these answers online. MATERIALS…

How do we share data in COVID-19 research? A systematic review of COVID-19 datasets in PubMed Central Articles.

Xu Zuo, Yong Chen, Lucila Ohno-Machado, Hua Xu
March 22, 2021

OBJECTIVE: This study aims at reviewing novel coronavirus disease (COVID-19) datasets extracted from PubMed Central articles, thus providing quantitative analysis to answer questions related to dataset contents, accessibility and citations.…

Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers.

Subha Madhavan, Lisa Bastarache, Jeffrey S Brown, Atul J Butte, David A Dorr, Peter J Embi, Charles P Friedman, Kevin B Johnson, Jason H Moore, Isaac S Kohane, Philip R O Payne, Jessica D Tenenbaum, Mark G Weiner, Adam B Wilcox, Lucila Ohno-Machado
February 15, 2021

Our goal is to summarize the collective experience of 15 organizations in dealing with uncoordinated efforts that result in unnecessary delays in understanding, predicting, preparing for, containing, and mitigating the…

Privacy-Protecting, Reliable Response Data Discovery Using COVID-19 Patient Observations

Jihoon Kim, Larissa Neumann, Paulina Paul, Michael Aratow, Douglas S Bell, Jason N Doctor, Ludwig C Hinske, Xiaoqian Jiang, Katherine K Kim, Michael E Matheny, Daniella Meeker, Mark J Pletcher, Lisa M Schilling, Spencer SooHoo, Hua Xu, Kai Zheng, Lucila Ohno-Machado, - R2D2 Consortium
September 23, 2020

There is an urgent need to answer questions related to COVID-19s clinical course and associations with underlying conditions and health outcomes. Multi-center data are necessary to generate reliable answers, but…

COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes.

Xiao Dong, Jianfu Li, Ekin Soysal, Jiang Bian, Scott L DuVall, Elizabeth Hanchrow, Hongfang Liu, Kristine E Lynch, Michael Matheny, Karthik Natarajan, Lucila Ohno-Machado, Serguei Pakhomov, Ruth Madeleine Reeves, Amy M Sitapati, Swapna Abhyankar, Theresa Cullen, Jami Deckard, Xiaoqian Jiang, Robert Murphy, Hua Xu
July 1, 2020

Large observational data networks that leverage routine clinical practice data in electronic health records (EHRs) are critical resources for research on coronavirus disease 2019 (COVID-19). Data normalization is a key…

Coronavirus: indexed data speed up solutions.

Lucila Ohno-Machado, Hua Xu
January 1, 1970