2022 Symposium Collaborator Showcase

SOFTWARE DEMOS

1 – Simple and practical EMR to OMOP CDM ETL tool (Pieter-Jan Lammertyn, Stijn Dupulthys, Louise Berteloot, Peter De Jaeger,Kim Denturck, Nathalie Mertens)
2 – Using DBT-a free and open-source software to transform data into OMOP CDM in the ETL process (Thanapat Pitchayarat, Gun Pinyo, Watcharaporn Tanchotsrinon, Somkid Khamsrimuang, Chalita Issarasittiphap, Chaiyanun Bootnumpech, Noppon Siangchin, Kanphitcha Promma, Nattachai Bovornmongkolsak, Prapat Suriyaphol, Natthawut Adulyanukosol)
3 – Vocabulary Versioning: Tracking Concepts over Time (Tom Seinen,Peter Rijnbeek)
4 – Data Quality Dashboard v2.0 (Clair Blacketer, Frank DeFalco, Anthony Molinaro, Dmitry Ilyn, Luis Alaniz, Maxim Moinat)
5 – Data Network Feasibility Tool (Frank DeFalco, Clair Blacketer)
6 – PHOEBE 2.0: selecting the right concept sets for the right patients using lexical, semantic, and data-driven recommendations (Anna Ostropolets, George Hripcsak, Christopher Knoll, Patrick Ryan)
7 – Criteria2Query 2.0: Combining Human and Machine Intelligence for Cohort Identification (Yilu Fang , Betina Idnay, Yingcheng Sun, Hao Liu, Zhehuan Chen, Karen Marder, Hua Xu, Rebecca Schnall, Chunhua Weng)
8 – Understanding circe-be logic through Capr for generating complex cohort definitions (Martin Lavallee, Adam Black and Asieh Golozar)
9 – Standardizing Knowledge of Drug Effects: An Application of PheKnowLator for Drug Safety (Tiffany J. Callahan, Patrick B. Ryan, George Hripcsak)
10 – CohortIncidence: A Software Demonstration (Christopher Knoll)
11 – IncidencePrevalence: An R package to compute population-level incidence and prevalence using the OMOP common data model (Marti Catala, Berta Raventas, Mike Du, Yuchen Guo, Xintong Li, Ross Williams, Talita Duarte Salles, Daniel Prieto Alhambra, Edward Burn)
12 – Ohdsitargets An R package for building OHDSI study pipelines using targets (Adam Black, Martin Lavallee, Asieh Golozar, Gregory Klebanov)
13 – Strategus: Marching towards transparent, reproducible research (Anthony G. Sena, Christopher Knoll, James Gilbert, Jenna Reps, Frank DeFalco, Clair Blacketer, Anthony Molinaro, Joshua Ide, Patrick Ryan, Martijn Schuemie)
14 – Einstein-ATLAS: Leveraging OHDSI/ATLAS and Open-Source Development to Support Translational Research, Data Science, and Regulatory Compliance (Parsa Mirhaji, Selvin Soby, Erin Henninger, Chandra Nelapatla, Manuel Wahle, Boudewijn Aasman, Eran Belin)
15 – Real World Assessment and Research of Drugs (REWARD): presenting an open-source package for Population-level effect estimation at the scale of all outcomes by all exposures (James P. Gilbert, Justin Bohn, Chris Knoll, David M. Kern)
16 – A demonstration of the EnsemblePatientLevelPredition package (Jenna M. Reps, Jenna Wong, Ross Williams)
17 – The OHDSI Community Dashboard: Tracking the Health and Impact of the Open Science Observational Health Data Sciences and Informatics Community (Star Liu, Asieh Golozar, Jody-Ann McLeggon, Adam Black, Paul Nagy

POSTERS

Observational Data Standards & Measurement

18 – Assessing Measurement Data Quality in the All of Us Research Program (Jason Patterson, Xinzhou Jiang, Hongjue Wang, Nripendra Acharya, Chao Pang, Matthew Spotnitz, Karthik Natarajan)

19 – Data Quality Monitoring, Transparency and Governance: Enterprise process for data quality stewardship and governance for real-world data (Parsa Mirhaji, Selvin Soby, Erin Henninger, Chandra Nelapatla, Manuel Wahle, Boudewijn Aasman, Eran Belin)

20 – Assessing and Benchmarking Data Quality and Diversity in the All of Us (Lina Sulieman, Karthik Natarajan, Kayla Marginean, Robert Carroll, Paul Harris)

21 – ICD10–SNOMED mapping pitfalls: Post-coordinated expressions and concept sets (Sigfried Gold, Tanner Zhang, Richard L. Zhu, Stephanie Hong, Harold P. Lehmann, Davera Gabriel, Tricia Francis, Lisa Eskenazi, Christopher G. Chute)

22 – An Evaluation of the Impact of Vocabulary Evolution on Established Phenotypes (Frank DeFalco, Anthony Molinaro, Clair Blacketer)

23 – Constructing vaccine vocabulary hierarchy using formal concept analysis (Adam Black, Yupeng Li, Denys Kaduk, Licong Cui, Rashmie Abeysinghe, Lixia Yao)

24 – Extending the OMOP Standard Vocabulary to Include Botanical Natural Products (Sanya B. Taneja, Mary F. Paine, Sandra L. Kane-Gill, Richard D. Boyce)

25 – Mapping variants of known significance to the OMOP Genomic Vocabulary (Michael Gurley, Asieh Golozar)

26 – Development of the Medical Imaging Extension for OMOP-CDM (Briana Malik, Kyulee Jeon, Tarik Alkasab, Pedro Mallol, Seng Chan You, Paul Nagy)

27 – Oncology Extension of OMOP-CDM and Federated Learning for Multi-national Cancer Study (Seo Jeong Shin, Peter Prinsen, Chiara Attanasio, Gijs Geleijnse, Lingjie Shen, Anna J. van Gestel, Seng Chan You, Han Sang Kim, SangJoon Shin)

28 – Protocol for finding supplemental oxygen data in electronic health record (EHR) flowsheets for inclusion in the OMOP ETL (Tanner Zhang, Steven Miller, Michael Cook, Alan Coltri, Zachary Wang, Paul Nagy, Justin Rucci, Galina Lozinski, Matthew Robinson)

29 – Leveraging Location Data in OMOP to Incorporate Area Deprivation Index (Xinzhuo Jiang, Maura Beaton, Jake Gillberg, Andrew Williams, Karthik Natarajan)

30 – The manifold presentations of PROMS and questionnaires: patient-reported outcomes in OMOP use cases (Sebastiaan van Sandijk, Peter Prinsen, Mieke van Hemelrijck, Michael Kallfelz, Dalia Dawoud)

31 – A scalable framework for transforming multiple data sources to the OHDSI Common Data Model (Janos Hajagos)

32 – Accurate Oncology Regimen Annotation and analysis of real-world oncology treatment patterns across five academic institutions (Travis Zack, Asieh Golozar, Christian Reich, Atul Butte, Eric Collisson, Jeremy Warner, Julian Hong)

33 – FeederNet (Federated E-Health Big Data for Evidence Renovation Network) platform in Korea (Seongwon Lee, Chungsoo Kim, Junhyuk Chang, Rae Woong Park)

34 – OMOP’s evolution in the data reuse strategy of Hospital Universitario 12 de Octubre (Noelia Garcia, Miguel Pedrera, Blanca Baselga, Paula Rubio, Alberto Tato, Cristina Diaz, Tomas Gonzalez, Bruno Diez, Victor Quiros, Teresa Garcia, Juan Luis Cruz, Jose Luis Bernal, Pablo Serrano)

35 – PHAROS, Platform for Harmonizing and Accessing Data in Real-time on Infectious Disease Surveillance Based on OMOP-CDM in Korea (Chungsoo Kim, Jimyung Park, Byungjin Choi, Seongwon Lee, Rae Woong Park)

36 – Real World Challenges to Using Real World Data: Creating a Multi-Institutional Database in OMOP (Michael N. Cantor, Deepika Sharma)

37 – Syntactic and Semantic Harmonization of the French National Healthcare Database (SNDS) (Lorien Benda, Regis Lassalle, Cecile Roseau, Stephanie Combes, Cecile Droz-Perroteau, Nicolas Thurin)

38 – A simplified ETL approach to transforming the MIMIC database into the OMOP Common Data Model in SQLite (Luis Alberto Robles Hernandez, Juan M. Banda)

39 – OMOP and FHIR Data Comparison (Spencer SooHoo, Andrey Soares, Rohith Mohan, Renier Estiandan, Ryan Hoffman, Shao Chi Huang, Brian Tep, David Kreda, Dan Gottlieb, Aaron Boussina, Paul Kingsbury, Lisa Schilling)

Open-Source Analytics Development

40 – Lowering the OMOP ETL Barrier for Clinical Registries (Smith Heavner, Trayson Llano, Zachary Wang, Marco Schito, Heather Stone, Pam Dasher, Tresha Russel, Vishakha Kumar, Ben Saeks, Michael Cooke, Rahul Kashyap, Matthew Robinson, Paul Nagy)

41 – Jackalope: A software tool for meaningful post-coordination for ETL purposes (Eduard Korchmar, Polina Talapova, Maria Kolesnyk, Denys Kaduk)

42 – Deployment of an OMOP CDM-compatible NLP system for Rapid Development and Dissemination of a Long-COVID Extraction NLP task (Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Sijia Liu, Hongfang Liu)

43 – Knowledge Graph to aid Cohort Diagnostics in concept sets developing (Thi Ngoc Mai Nguyen, Christina Raabe, Stephanie von Klot)

44 – Cohort Definition Validation in Atlas (Charity Hilton, Saul Crumpton, Jon Duke)

45 – Transitioning ANANKE to OMOP2OBO for more robust NLP extraction and knowledge graph data representation leveraging the OHDSI vocabulary (Juan M. Banda, Tiffany J. Callahan)

46 – Development of cancer-related information extraction model from pathology reports using transfer learning (Jimyung Park, Roh Jin, Jianfu Li, Hua Xu, Rae Woong Park)

47 – Moving OMOP to the cloud with DBT and Snowflake (Roger Carlson, Matthew Phad, Samuel Martin)

48 – NACHC’s open-source implementation of FHIR to OMOP tool suite (John Gresh)

49 – Serverless CDM in OHDSIonAWS (Ashwini Davison, Animesh Jha, Steve Fu, James Wiggins)

50 – Odysseus ARACHNE Data Network -Federated Study Execution (Gregory Klebanov, Alexey Manoylenko, Sebastiaan van Sandijk)

51 – DPM360: New Additions to Advanced Disease Progression Modeling (Akira Koseki, Italo Buleje, Prithwish Chakraborty, Elif Eyigoz, Mohamed Ghalwash,Takashi Itoh,Toshiya Iwamori, Michharu Kudo, Pablo Meyer, Kenney Ng, Parthasarathy Suryanarayanan, Hiroki Yanagisawa, Jianying Hu)

52 – A survey of OMOP CDM-compatible visualization tools & what the community may do to support tool development and adoption (Natthawut Adulyanukosol, David Gotz)

53 – Developing objective metrics to diagnose PatientLevelPrediction model designs (Jenna M. Reps and Yauheniya Cherkas)

54 – Introduction of a standardized framework to develop deep-learning models using the OMOP-CDM (Chungsoo Kim, Jenna Reps, Henrik John, Seng Chan You, Egill Fridgeirsson)

55 – HERMES: A Health Resources Econometric Analysis Tool (Kyungseon Choi, Sang Jun Park, Sola Han, Siin Kim, Hae Sun Suh)

56 – PDA-OTA: Privacy-preserving Distributed Algorithms Over the Air, an OHDSI journey (Yong Chen, Jiayi Tong, Chongliang Luo, Lu Li, Yiwen Lu, Hai-Shuo Shu)

Methodological Research

57 – Representing and Utilizing Clinical Textual Data for Real World Studies: An OHDSI Approach (Vipina Keloth, Juan Banda, Michael Gurley, Paul Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy Miller, Karthik Natarajan, Olga Patterson, Yifan Peng, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew Williams, Rui Zhang, Rimma Belenkaya, Christian Reich, Clair Blacketer, Patrick Ryan, George Hripcsak, Noemie Elhadad, Hua Xu)

58 – Topic Modeling of Clinical Notes for Patients with Infectious Disease using Latent Dirichlet Allocation after Deidentification of Protected Health Information (Junhyuk Chang, Jimyung Park, Chungsoo Kim, Rae Woong Park)

59 – The Seasonality Score: A Quantitative Complement to Qualitative Seasonality Assessment (Anthony Molinaro, Frank DeFalco)

60 – Towards Similarity Search in Phenotype Libraries (Ramya Tekumalla, Raj Manickam, Yen Low)

61 – Examining Differences in Baseline Characteristics of Broad and Narrow Phenotype Algorithms (Jill Hardin, Pranav Bhimani, Raechel Davis, Joel Swerdel)

62 – Comparison of Biopsy and Diagnosis Code Based Breast Cancer Phenotypes (Matthew Spotnitz, Thomas Falconer, Maura Beaton, Karthik Natarajan)

63 – Comparing the impact of clean windows across cohorts and databases (Rupa Makadia, Kevin Haynes, Patrick Ryan)

64 – Adaptation and Validation of the Charlson Comorbidity Index in Administrative Claims Data Using the SNOMED CT Standardized Vocabulary (Stephen Fortin, Jenna Reps, Patrick Ryan)

65 – Using data augmentation for NER-RE joint learning tasks for clinical history information extraction (Xiaodong Zhu, Miao Chen, Daniel Slaughter, Elizabeth Lyon, Pallavi Misra, Michael Biorn)

66 – Comparing broad and narrow phenotype algorithms: differences in performance characteristics and immortal time incurred (Joel N. Swerdel, Mitchell M. Conover)

67 – Examining differential measurement error in phenotype algorithms due to age, sex, and disease prevalence differences using PheValuator (Joel N. Swerdel, Jenna M. Reps)

68 – Development of an automated comparator ranking algorithm for the REWARD initiative (Justin Bohn, James P. Gilbert, Christopher Knoll, David M.Kern)

69 – Evaluating causal inference methods for survival data in large-scale observational studies (Shiyao Xu, Akihiko Nishimura, Elizabeth Ogburn)

70 – ODAP-B: A One-shot Distributed Algorithm for Modified Poisson Regression for Prospective Studies with Binary Data (Lu Li, Jiayi Tong, Suchitra Rao, Mackenzie Edmondson, Vitaly Lorman, Hanieh Razzaghi, Haitao Chu, Christopher B. Forrest, Yong Chen)

71 – Scalable Bayesian sparse regression for OHDSI studies: Prior-preconditioned conjugate gradient sampler and `bayesbridge(r)` package (Akihiko Nishimura, Marc A. Suchard)

72 – dGEM: Decentralized algorithm for Generalized mixed Effect Models with the Application in Hospital Profiling (Jiayi Tong, Chongliang Luo, Jiang Bian, Milou Brand, Zhaoyi Chen, Scott DuVall, Thomas Falconer, Mengchun Gong, Kevin He, Chung-Soo Kim, Miguel Angel Mayer, Bhavnisha Patel, Di Wang, Hua Xu, Guanjin Yin, Yujia Zhou, David A. Asch, Yong Chen)

73 – Adjusting for Healthcare Utilization Improves the Performance of Self-Controlled Case Series Studies using Electronic Health Records (Undina Gisladottir, Nicholas Tatonetti)

74 – Explaining patient-level prediction models using permutation feature importance and SHAP (Aniek F. Markus, Egill A. Fridgeirsson, Jan A. Kors, Katia M.C. Verhamme, Peter R. Rijnbeek)

75 – Federated Patient-Level Prediction (Byungjin Choi, Dong Yun Lee, Chungsoo Kim, Jimyung Park, Rae Woong Park)

76 – Impact of random oversampling and random undersampling on the development and validation of prediction models using observational health data (Cynthia Yang, Egill A. Fridgeirsson, Jan A. Kors, Jenna M. Reps, Peter R. Rijnbeek)

77 – PULSNAR: Positive Unlabeled Learning Selected Not At Random –towards imputing undocumented conditions in EHRs and estimating their incidence (Praveen Kumar, Sharon E. Davis, Michael E. Matheny, Gerardo Villarreal, Yiliang Zhu, Mauricio Tohen, Douglas J. Perkins, Christophe G. Lambert)

Clinical Applications

78 – How Health Systems Can Create Value by Adopting the OMOP CDM (John Methot, Melanie Philofsky, Brian Bush, Edward Burns, Daniel Smith, Paul Nagy)

79 – Building organizational capacity for observational research within a health system (Mary Grace Bowring, Michael Cook, Star Lui, Khyzer Aziz, Aki Nishimura, Paul Nagy)

80 – A Pilot Characterization Study Assessing Health Equity in Mental Healthcare Delivery within the State of Georgia (Jacob Zelko, Malina Hy, Varshini Chinta, Emily Liau, Morgan Knowlton, Jon Duke)

81 – Federated learning for quantifying racial disparities in kidney graft failure rates using US registry data from 29,468 patients across 149 transplant centers (Jiayi Tong, Yishan Shen, Alice Xu, Chongliang Luo, Mackenzie Edmondson, Ruowang Li, Di Wang, Kevin He, David A. Asch, Yong Chen)

82 – Cancer Phenotyping Pitfalls in EHR: The case of Non-Small Cell Lung Cancer (Asieh Golozar, Martin Lavallee, Adam Black, Darya Kosareva, Michael Gurley, Christian Reich)

83 – Development of Phenotype Algorithms and Characterizations of Primary Open-Angle Glaucoma Using Real-World Data (Nathan Hall, Rupa Makadia)

84 – It Takes a Village: Community-Driven Phenotyping to Address a Public Health Crisis (Kristin Kostka, Evan Minty, Antonella Delmestri, Barrack Omondi, MartiCatala, Elena Roel, Edward Burn, Daniel Prieto-Alhambra, Annika M. Jadicke)

85 – Phenotyping of a Large Primary Spinal Cord Tumor Cohort Identified through an Observational Healthcare Database (Hart P. Fogel, Matthew Spotnitz, Gillian O’ Connell, Claire A.Donnelley, Dominique Higgins, Peter C. Noback, Paul McCormick, Patrick Reid)

86 – Identification of patients with drug resistant epilepsy in electronic medical record data using the Observational Medical Outcomes Partnership Common Data Model (Matthew Spotnitz, Victor G. Castano, Genna J. Waldman, Evan F. Joiner, Hyunmi Choi, Anna Ostropolets, Karthik Natarajan, Guy M. McKhann, Ruth Ottman, Al I. Neugut, George Hripcsak, Brett E. Youngerman)

87 – Characterization of first-line treatment for Breast Cancer and Multiple Myeloma using Electronic HealthRecord and Claims Databases (Maura Beaton, Matthew Spotnitz, Thomas Falconer, Melissa Accordino,DivayaBhutani, Alison Callahan, Nigam Shah, Jake Gillberg, Andrew Williams, Karthik Natarajan)

88 – Developing a frailty concept in the OMOP CDM among sexual minority older adults (age 50+) in the All of Us database (Brianne Olivieri-Mui, Chelsea Wong, Michael Wilczek, Jordon Bosse)

89 – Analyzing the Use of Beers Criteria Guidelines through ATLAS Operationalization (Richard Boyce, Steven Albert, Jacob Lombardi, Krishi Akenapalli, Rohit Marwah)

90 – COVID-19 Vaccine Administration Pathways in US Administrative Claims (Kevin Haynes, Christopher Knoll, Rupa Makadia, Patrick Ryan)

91 – Describing treatment with antidiabetics in patients with T2D and moderate to severe CKD across a network of OMOP databases (Martin Lavallee, David Vizcaya, Ron Herrera, Niki Oberprieler, Glen James, Darya Kosareva, and Asieh Golozar)

92 – Real world prescribing patterns of dupilumab for atopic dermatitis (Torunn Sivesind, Grace Bosma, Camille Hochheimer, Lisa Schilling, Robert Dellavalle)

93 – Incidence analysis and prediction of potentially harmful drugs among asthma patients (Victor Pera, Peter Rijnbeek, Katia Verhamme)

94 – Development of a Framework for Cancer Profiling and Visualization (Soobeen Seol, Jimyung Park, Chungsoo Kim, Rae Woong Park)

95 – Characterization of Health by OHDSI Asia-Pacific chapter to identify Temporal Effect of the Pandemic for Cardiovascular Diseases (CHAPTER-CVDs) (Seng Chan You, Subin Kim, Yongjae Lee, Jing Li, Can Yin, Mui Van Zandt)

96 – Building Korean NER models for a manually annotated corpus from clinical notes using cross-lingual transfer learning (Jianfu Li, Jimyung Park, Xinyue Hu, Jingqi Wang, Rae Woong Park, Hua Xu)

97 – A Machine Learning based Enrollment Rate Forecasting System (Yiqiao Yin)

98 – Analysis of Influencing Factors of Mortality in COVID-19 Patients: A Retrospective Cohort Study (Do Duy Khang, Phung-Anh Nguyen, Chang-I Chen, Chung-Chien Huang, Carlos Shu-Kei Lam, Noi Yar, Christine Y. Lu,Chi-Tsun Cheng, Jason C. Hsu)

99 – Development of Lung Cancer Survival Prediction Models Based on Real-world Data and Machine Learning (Jason C. Hsu, Phung-Anh Nguyen, Phan Thanh Phuc, Tsai-Chih Lo, Min-Huei Hsu, Chi-Tsun Cheng, Tzu-Hao Chang, Cheng-Yu Chen)

100 – Development of Machine Learning models for Cancer Survival among Lung cancer patients with Tyrosine Kinase Inhibitors (TKIs) treatment (Alex PA. Nguyen, Phuc T. Nguyen, Min-Huei Hsu, Jason C. Hsu)

101 – Machine Learning to Predict the Ischemic Stroke among Type 2 Diabetes Mellitus Patients using Taipei Medical University Clinical Research Database (Phan Thanh Phuc, Phung Anh Nguyen, Jason C. Hsu)

102 – Mortality prediction after PCI/CABG using ECG and comorbidities (Stijn Dupulthys, Pieter-Jan Lammertyn, David McAuliffe, Louise Berteloot, Nathalie Mertens, Kim Denturck, Peter De Jaeger, Karl Dujardin)

103 – One-yearPost-Stroke Prediction on Cognitive Impairment: A Machine Learning Approach (Muhammad Solihuddin Muhtar, Faizul Hasan, Alex P.A. Nguyen, Jason C. Hsu, Hsiao-Yean Chiu)

104 – Prediction of insulin resistance in depression is associated with long-term clinical outcomes (Dong Yun Lee, Chungsoo Kim, Jimyung Park, Rae Woong Park)

105 – Delirium prediction in patients with trauma and comparison of predictors across trauma center and non-trauma center (Su Jin Gan, Dong Yun Lee, Jimyung Park, Rae Woong Park)

106 – Comparison of mortality, morbidities & healthcare resources utilization between patients with and without a diagnosis of Covid-19: A study protocol (Ivan Chun Hang Lam, Celine Sze Ling Chui, Eric Yuk Fai Wan, Xue Li, Carlos King Ho Wong, Yi Chai, Hao Luo, Kenneth Keng Cheung Man, Xiaoyu Lin, Can Yin, Jing Li, Mui Van Zandt, Christian Reich, Katherine Duszynski, Nicole Pratt, Ian Chi Kei Wong)

107 – Effects of the COVID-19 pandemic on mental health: A multinational network study (Yi Chai, Kenneth K.C. Man, Hao Luo, Carmen Olga Torre, Xiaoyu Lin, Can Yin, Ivan C.H. Lam, Stephen Fortin, David M. Kern, Dong Yun Lee, Rae Woong Park, Jae-Won Jang, Jing Li, Christian Reich, Wallis C.Y. Lau, Ian C.K. Wong)

108 – Healthcare utilization following SARS-CoV-2 infection in children and adolescents with chronic conditions: An EHR-based Cohort Study from the RECOVER Program (Nathan M Pajor, Vitaly Lorman, Hanieh Razzaghi, Abigail Case, Priya Prahalad, Seuli Bose Brill, Qiong Wu, Yong Chen, Jason Block, Payal B Patel, Suchitra Rao, Asuncion Mejias, Deepika Thacker, Ravi Jhaveri, Grace M. Lee)

109 – Preliminary Analysis of Self-Reported COVID-19 Vaccination Side Effects on Twitter (Nishanth Pavinkurve, Maura Beaton, Hua Xu, Karthik Natarajan)

110 – Epidemiology of vasomotor symptoms (VMS) in menopausal women (EpiVaSym): a multi-country, large-scale OHDSI network analytic study (Ronald Herrera, Victoria Banks, Cecilia Caetano, Cecile Janssenswillen, Carsten Moeller, Siir Su Saydam, James Brash, James Yang, Sarah Seager, Christian Reich, Renate Schulze-Rath)

111 – Framework for Assessing the Reproducibility of Observational Comparative Effectiveness Research: DOACs and Ischemic or Hemorrhagic Events Case Study (Asieh Golozar, Anna Ostropolets, Martin LaVallee, Adam Black, Ines Neves, Christian Reich)

ORAL TALKS

112 – Disambiguation of ICPC codes using free-text and active learning to improve concept mappings (Tom Seinen – presenter, Erik van Mulligen, Jan Kors, Katia Verhamme, Peter Rijnbeek)
113 – OHDSI Phenotype Phebruary: lessons learned (Azza Shoaibi – presenter, Joel Swerdel, Allan Wu, Gowtham Rao, Adam Black, Evan Minty, Asieh Golozar, Rupa Makadia, Jill Hardin, Erica Voss, Tiffany J. Callahan, Juan Banda, Anna Ostropolets, Claudia Pulgarin, Marcela Rivera, David Vizcaya, Patrick Ryan)
114 – Reduce, Reuse, & Recycle: Going Green with Atlas Reusables (Ajit Londhe – presenter, Brad Rechkemmer, Gregory Klebanov, Alexey Manoylenko, Anton Abushkevich, Sergey Suvorov)
115 – Best practices for prognostic model development using observational health data: a scoping review (Cynthia Yang – presenter, Jenna Reps)
116 – Machine Learning for Predicting Patients at Risk of Prolonged Opioid Use Following Surgery (Behzad Naderalvojoud – presenter, Tina Hernandez-Boussard)
117 – When does statistical equality meet health equity: developing analytical pipelines to compare associational and causal fairness in their application to EHR data (Linying Zhang – presenter, Lauren R. Richter, David M. Blei, Yixin Wang, Anna Ostropolets, Noemie Elhadad, George Hripcsak)
118 – Analyzing the Effect of Hypertension on Retinal Thickness Using Radiology Common Data Model (R-CDM) (Chul Hyoung Park – presenter, Rae Woong Park, Sang Jun Park, Da Yun Lee, Seng Chan You, Ki Hwang Lee)
119 – Multinational Patterns of Second-line Anti-hyperglycemic Drug Initiation: A LEGEND-T2DM Study (Lovedeep S Dhingra – presenter, Mark A Suchard, Kelly Li, Martijn J Schuemie, Yuan Lu, Anna Ostropolets, RuiJun Chen, Tara Anand, Faaizah Arshad, Clair Blacketer, Fan Bu, David Dorr, Talita Duarte Salles, Thomas Falconer, Yuntian Liu, Kenneth Man, Evan Minty, Daniel Morales, Aki Nishimura, Carlen Reyes, Andrea Pistillo, Nicole Pratt, Eric Yuk Fai Wan, Jianxiao Yang, Can Yin, Seng Chan You, Patrick B Ryan, George Hripcsak, Harlan M Krumholz, Rohan Khera)