Advancing Toward a Common Data Model in Ophthalmology by Cindy X. Cai, MD, MS, William Halfpenny, MB, BChir, MEng, Michael V. Boland, MD, PhD, Harold P. Lehmann, MD, PhD, Michelle Hribar, PhD, Kerry E. Goetz, MS, Sally L. Baxter, MD, MSc

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Conceptual design of a generic data harmonization process for OMOP common data model by Elisa Henke, Michele Zoch, Yuan Peng, Ines Reinecke, Martin Sedlmayr, Franziska Bathelt

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Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies by Justin C. Quon, MD, Christopher P. Long, MD, William Halfpenny, MBBS, MEng, Amy Chuang, MS, Cindy X. Cai, MD, MS, Sally L. Baxter, MD, MSc, Vamsi Daketi, MS, Amanda Schmitz, BS, Neil Bahroos, MS, Benjamin Y. Xu, MD, PhD, Brian C. Toy, MD

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How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned by Najia Ahmadi, Michele Zoch, Oya Guengoeze, Carlo Facchinello, Antonia Mondorf, Katharina Stratmann, Khader Musleh, Hans-Peter Erasmus, Jana Tchertov, Richard Gebler, Jannik Schaaf, Lena S. Frischen, Azadeh Nasirian, Jiabin Dai, Elisa Henke, Douglas Tremblay, Andrew Srisuwananukorn, Martin Bornhäuser, Christoph Röllig, Jan-Niklas Eckardt, Jan Moritz Middeke, Markus Wolfien, Martin Sedlmayr

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Preliminary exploration of survival analysis using the OHDSI common data model: a case study of intrahepatic cholangiocarcinoma by Na Hong, Ning Zhang, Huawei Wu, Shanshan Lu, Yue Yu, Li Hou, Yinying Lu, Hongfang Liu, Guoqian Jiang

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Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study by Yi Chai, Kenneth K. C. Man, Hao Luo, Carmen Olga Torre, Yun Kwok Wing, Joseph F. Hayes, David P. J. Osborn, Wing Chung Chang, Xiaoyu Lin, Can Yin, Esther W. Chan, Ivan C. H. Lam, Stephen Fortin, David M. Kern, Dong Yun Lee, Rae Woong Park, Jae-Won Jang, Jing Li, Sarah Seager, Wallis C. Y. Lau, Ian C. K. Wong

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Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS by Kostka K, Duarte-Salles T, Prats-Uribe A, Sena AG, Pistillo A, Khalid S, Lai LYH, Golozar A, Alshammari TM, Dawoud DM, Nyberg F, Wilcox AB, Andryc A, Williams A, Ostropolets A, Areia C, Jung CY, Harle CA, Reich CG, Blacketer C, Morales DR, Dorr DA, Burn E, Roel E, Tan EH, Minty E, DeFalco F, de Maeztu G, Lipori G, Alghoul H, Zhu H, Thomas JA, Bian J, Park J, Martínez Roldán J, Posada JD, Banda JM, Horcajada JP, Kohler J, Shah K, Natarajan K, Lynch KE, Liu L, Schilling LM, Recalde M, Spotnitz M, Gong M, Matheny ME, Valveny N, Weiskopf NG, Shah N, Alser O, Casajust P, Park RW, Schuff R, Seager S, DuVall SL, You SC, Song S, Fernández-Bertolín S, Fortin S, Magoc T, Falconer T, Subbian V, Huser V, Ahmed WUR, Carter W, Guan Y, Galvan Y, He X, Rijnbeek PR, Hripcsak G, Ryan PB, Suchard MA, Prieto-Alhambra D

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A computable biomedical knowledge object for calculating in‐hospital mortality for patients admitted with acute myocardial infarction by Rosemarie Sadsad, Gema Ruber, Johnson Zhou, Steven Nicklin, Guy Tsafnat

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