2023 Global Collaborator Showcase

Observational Data Standards & Management

2 – FinOMOP – a population-based data network (Javier Gracia-Tabuenca, Perttu Koskenvesa, Pia Tajanen, Sampo Kukkurainen, Gustav Klingstedt, Anna Hammais, Persephone Doupi, Oscar Brück, Leena Hakkarainen, Annu Kaila, Marco Hautalahti, Toni Mikkola, Marianna Niemi, Pasi Rikala, Simo Ryhänen, Anna Virtanen, Arto Mannermaa, Arto Vuori, Joanne Demmler, Eric Fey, Terhi Kilpi, Arho Virkki, Tarja Laitinen, Kimmo Porkka)
3 – From OMOP to CDISC SDTM: Successes, Challenges, and Future Opportunities of using EHR Data for Drug Repurposing in COVID-19 (Wesley Anderson, Ruth Kurtycz, Tahsin Farid, Shermarke Hassan, Kalynn Kennon, Pam Dasher, Danielle Boyce, Will Roddy, Smith F. Heavner)
4 – Augmenting the National COVID Cohort Collaborative (N3C) Dataset with Medicare and Medicaid (CMS) Data, Secure and Deidentified Clinical Dataset (Stephanie Hong, Thomas Richards, Benjamin Amor, Tim Schwab, Philip Sparks, Maya Choudhury, Saad Ljazouli, Peter Leese, Amin Manna, Christophe Roeder, Tanner Zhang, Lisa Eskenazi, Bryan Laraway, James Cavallon, Eric Kim, Shijia Zhang, Emir Amaro Syailendra, Shawn O’Neil, Davera Gabriel, Sigfried Gold, Tricia Francis, Andrew Girvin, Emily Pfaff, Anita Walden, Harold Lehmann, Melissa Haendel, Ken Gersing, Christopher G Chute) * – Best Community Contribution Honoree
5 – Integrating clinical and laboratory research data using the OMOP CDM (Edward A. Frankenberger, Chun Yang, Vamsidhar Reddy Meda Venkata, Alyssa Goodson)
6 – Development of Medical Imaging Data Standardization for Imaging-Based Observational Research: OMOP Common Data Model Extension (Woo Yeon Park, Kyulee Jeon, Teri Sippel Schmidt, Haridimos Kondylakis, Seng Chan You, Paul Nagy)
7 – Conversion of a Myositis Precision Medicine Center into a Common Data Model: A Case Study (Zachary Wang, Will Kelly, Paul Nagy, Christopher A Mecoli)
8 – Implementing a common data model in ophthalmology: Comparison of general eye examination mapping to standard OMOP concepts across two major EHR systems (Justin C. Quon, William Halfpenny, Cindy X. Cai, Sally L. Baxter, Brian C. Toy)
9 – Enhancing Data Quality Management: Introducing Capture and Cleanse Modes to the Data Quality Dashboard (Frank DeFalco, Clair Blacketer)
10 – “OMOP Anywhere”: Daily Updates from EHR Data Leveraging Epic’s Native Tools (Mujeeb A Basit, Mereeja Varghese, Aamirah Vadsariya, Bhavini Nayee, Margaret Langley, Ashley Huynh, Jennifer Cai, Donglu Xie, Cindy Kao, Eric Nguyen, Todd Boutte, Shiby Antony, Tammye Garrett, Christoph U Lehmann, Duwayne L Willett)
11 – A Toxin Vocabulary for the OMOP CDM (Maksym Trofymenko, Polina Talapova, Tetiana Nesmiian, Andrew Williams, Denys Kaduk, Max Ved, Inna Ageeva)
12 – Challenges and opportunities in adopting OMOP-CDM in Brazilian healthcare: a report from Hospital Israelita Albert Einstein (Maria Abrahao, Uri Adrian Prync Flato, Mateus de Lima Freitas, Diogo Patrão, Amanda Gomes Rabelo, Cesar Augusto Madid Truyts, Gabriela Chiuffa Tunes, Etienne Duin, Gabriel Mesquita de Souza, Soraya Yukari Aashiro, Adriano José Pereira, Edson Amaro)
13 – Transforming the Optum® Enriched Oncology module to OMOP CDM (Dmitry Dymshyts, Clair Blacketer)
14 – Mapping Multi-layered Oncology Data in OMOP (John Methot, Sherry Lee)
15 – Development of psychiatric common data model (P-CDM) leveraging psychiatric scales (Dong Yun Lee, Chungsoo Kim, Rae Woong Park)
16 – Brazilian administrative data for real-world research: a deterministic linkage procedure and OMOP CDM harmonization (Jessica Mayumi Maruyama, Julio Cesar Barbour Oliveira)
17 – Integration of Clinical and Genomic Data Mapped to the OMOP Common Data Model in a Federated Data Network in Belgium (Tatjana Jatsenko, Murat Akand, Joris Robert Vermeesch, Dries Rombaut, Michel Van Speybroeck, Martine Lewi , Valerie Vandeweerd)
18 – Opportunity and Challenge of Implementing the OHDSI System in Indonesia (Dian Tri Wiyanti, Daniel C.A. Nugroho, Yudha Eri Saputra, Septi Melisa, Phan Thanh-Phuc, Nguyen Phung-Anh, Jason C. Hsu, Min-Huei Hsu)
19 – Toward a General-Purpose Geography-Focused OHDSI Infrastructure (Kyle Zollo-Venecek, Robert Miller, William G. Adams, Jay Greenfield, Timothy B Norris, Polina Talapova, Maksym Trofymenko, Andrew Williams)
20 – Implementing the OMOP common data model in an NHS Trust using DBT (Quinta Ashcroft, Timothy Howcroft, Dale Kirkwood, Jo Knight, Vishnu V Chandrabalan)
21 – Conversion of the Canadian Observational Study on Epilepsy (CANOE) REDCap Registry to the OMOP Common Data Model (Danielle Boyce, Colin Bruce Josephson, Ray Jiang, Samuel Wiebe)
22 – Assessing data quality at DARWIN EU® data partner onboarding (Sofia Bazakou, Anna van Winzum, Maxim Moinat)
23 – Bladder cancer – a quality benchmark utilizing FHIR and OMOP (Andries Clinckaert, Valerie Vandeweerd, Murat Akand, Charlotte De Vlieghere, Bart Vannieuwenhuyse, Michel Van Speybroek, Frank Van der Aa, Martine Lewi, Christos Chatzichristos)
24 – Jackalope Plus: AI-Enhanced Solution for Mapping Unmappable Concepts (Denys Kaduk, Marta Vikhrak, Polina Talapova, Eduard Korchmar, Inna Ageeva , Max Ved)
25 – Make Your Tools Work for You: Customizing the Data Quality Dashboard to Identify Changes in Source Data (Melanie Philofsky)
26 – The Feasibility of Clinical Quality Language (CQL) Based Digital Quality Measures (dQMs) Implementation to OMOP CDM (Work in Progress) (Emir Amaro Syailendra, Woo Yeon Park, Ben Hamlin, Paul Nagy)
27 – Harmonization of OMOP vaccine-related vocabularies through the Vaccine Ontology (Yuanyi Pan, Warren Manuel, Rashmie Abeysinghe, Xubing Hao, Alexander Davydov, Qi Yang, Asiyah Yu Lin, Licong Cui, Yongqun Oliver He)
28 – Demonstrating Scalable Integration of Clinical, Translational, and Manufacturing Data to Explore Role of Manufacturing Approach in Driving Health Outcomes (Ben Smith, Trent Peterson, Jessica Manzyuk)
29 – Community Contribution to the OHDSI Vocabularies: moving towards collaborative shared resource (Oleg Zhuk, Anna Ostropolets, Alexander Davydov, Christian Reich)
30 – A new route of administration hierarchy derived from dose forms supporting standardised drug dose calculations (Theresa Burkard, Artem Gorbachev, Kim Lopez-Güell, Daniel Prieto-Alhambra, Martí Català, Christian Reich)
31 – Developing a perinatal expansion table for the OMOP common data model (Alicia Abellan, Edward Burn, Nhung Trinh, Theresa Burkard, Sergio Fernández-Bertolín, Eimir Hurley, Clara Rodriguez, Elena Segundo, Daniel R. Morales, Hedvig Nordeng, Talita Duarte-Salles)
32 – Comparing Patient Self-Reported Symptoms with SNOMED/ICD-10-CM Codes at Primary Care Visits (Victor M. Castro, Danielle M. Crookes, Vivian Gainer, Shawn N. Murphy, Justin Manjourides)
33 – Making NLP-derived data actionable within the OHDSI ecosystem (Michael Gurley, Kyle Zollo-Venecek, Andrew Williams, Daniel Smith, Robert Miller, Vipina Kuttichi Keloth, Hua Xu)
34 – Sirius tool: Conversion of clinical study data into OMOP model and implementation of data quality monitoring of wearable sensor data (Vojtech Huser, Esteve Verdura, Michael Lubke, Bhavna Adhin)
35 – Application of language model for extracting data from pathology reports (Gyubeom Hwang, Min-Gyu Kim, Min Ho An, Rae Woong Park)
36 – Open-Source Tools and Terminology to Increase Representativeness in OHDSI Data (Andrew S. Kanter)
37 – Mining Data Outside the Box: Internet as a New Source for Common Data Model (Min-Gyu Kim, Min ho An, GyuBeom Hwang, Rae Woong Park)
38 – Operational Definition of Adrenal diseases: Enhancing Precision and Reproducibility in Observational Data (Suhyun Kim, Seung Shin Park, Seung hun Lee, Kwangsoo Kim, JungHee Kim)
39 – Mapping Dental Use Cases to the OMOP-CDM: Vocabulary and Common Data Model Evaluation (Robert Koski, Gopikrishnan Chandrasekharan, William D. Duncan)
40 – Using MONAI Pre-Trained Models for Colorectal Tissue Type Phenotyping: A Feasibility Study to Integrate Deep Learning Model Results using the Medical Extension OMOP CDM (Shijia Zhang, Woo Yeon Park, Blake Dewey, Paul Nagy)
41 – Streamlining Cytogenetic Data Processing with ISCN Parsing and OMOP (Ben Smith, Trent Peterson, Jessica Manzyuk)
42 – Mapping gravity value sets to OMOP CDM: The case of the food insecurity screening (Adam Bouras, Davera Gabriel)
43 – Making OMOP Happen: An Implementation Science Approach (Maya Younoszai, Pam Dasher, Danielle Boyce, Smith Heavner)

Methodological Research

101 – The Development and Validation of an Individual-Level Socioeconomic Deprivation Index (ISDI) with OMOP in the NIH’s All of Us Data Network (Nripendra Acharya, Karthik Natarajan)
102 – Towards rapid augmented phenotyping using large language models (Juan M. Banda, Azza Shoaibi, Gowtham Rao, Evan Minty, Christophe Lambert, Joel Swerdel, Christian Reich, George Hripcsak, Patrick Ryan)
103 – Measuring Study Potential Through the Use of Data Diagnostics (Clair Blacketer, Frank DeFalco)
104 – Estimating Observable Time in the Absence of Defined Enrollment (Clair Blacketer, Patrick Ryan, Frank DeFalco, Martijn Schuemie, Peter Rijnbeek)
105 – Estimating model performance on external data sources from their summary statistics: a real-world benchmark (Tal El-Hay, Jenna M Reps, Chen Yanover)
106 – Integrating large language models and real-world evidence into an automated drug indication taxonomy development workflow (Yilu Fang, Chunhua Weng, Patrick Ryan)
107 – Bayesian sparse logistic models in patient-level predictive studies with the R package PatientLevelPrediction (Kelly Li, Jenna Reps, Marc Suchard)
108 – Developing a pregnancy algorithm in ATLAS: Applying start date offset (Rupa Makadia, Christopher Knoll, Patrick Ryan)
109 – Evaluating confounding adjustment when sample size is small (Martijn Schuemie, Marc A. Suchard, Akihiko Nishimura, Linying Zhang, George Hripcsak)
110 – Assessment of Pre-trained Observational Large Longitudinal models in OHDSI (APOLLO) (Martijn Schuemie, Yong Chen, Egill Fridgeirsson, Chungsoo Kim, Jenna Reps, Marc Suchard, Xiaoyu Wang, Chao Pang)
111 – Bayesian Evidence Synthesis with Bias Correction (Louisa H. Smith, Fan Bu, Akihiko Nishimura, Kristin Kostka, Jody-Ann McLeggon, Patrick B. Ryan, George Hripcsak, David Madigan, Marc A. Suchard)
112 – Examining differential measurement error due to race, age, and sex in mental health disorders using PheValuator (Joel Swerdel, Dmytro Dymshyts)
113 – An initial investigation into more complex stacking methods to improve transportability of prediction models developed across multiple databases (Cynthia Yang, Egill A. Fridgeirsson, Jan A. Kors, Jenna M. Reps, Peter R. Rijnbeek, Ross D. Williams, Jenna Wong)
114 – Assessing the Feasibility of a Machine Learning-Based Computational Phenotype for Identifying Transgender and Gender Diverse Patients in the OMOP Common Data Model (William A. Baumgartner Jr., Tyler Strickland, Danielle M. Kline, Abby M. Pribish, Molly McCallum, Amanuail Gebregzabheir, Dani Loeb, Lisa M. Schilling)
115 – Demonstrating Utility of the Edge Tool Suite through Clinical Trial Emulation (Ruth Kurtycz, Wesley Anderson, Allan J. Walkey, Kerry A. Howard, Smith F. Heavner)
116 – Agreement between measurement and diagnosis-based phenotype algorithms (Azza Shoaibi, Gowtham Rao, Dmytro Dymshyts, Anna Ostropolets, Patrick Ryan)
117 – Developing phenotypes across pregnant persons and infants: Utilizing pregnancy episode identification and mother-infant linkage algorithms to define outcomes (Rupa Makadia, Jill Hardin, Kevin Haynes, Dave Kern, Amir Sarayani, Melanie Jacobson)
118 – Using Cohort Diagnostics to Assess the Phenotypic Data Quality in All of Us Research Program (Lina Sulieman, Karthik Natarajan)
119 – A distributed multi-site latent class analysis (dMLCA) algorithm for federated disease subphenotype detection (Naimin Jing, Xiaokang Liu, Qiong Wu, Suchitra Rao, Asuncion Mejias, Mitchell Maltenfort, Julia Schuchard, Vitaly Lorman, Hanieh Razzaghi, Ryan Webb, Chuan Zhou, Ravi Jhaveri, Grace M. Lee, Nathan M. Pajor, Deepika Thacker, L. Charles Bailey, Christopher B. Forrest, and Yong Chen)
120 – Forecasting Daily Incidence of Respiratory Symptoms: A Comparative Study on Time Series Models using OMOP-CDM in South Korea (Min Ho An, Min-Gyu Kim, GyuBeom Hwang, ByungJin Choi, Rae Woong Park)
121 – Validating a clinical informatics consulting service using negative control reference sets (Michael Jackson, Saurabh Gombar, Raj Manickam, Robert Brown, Ramya Tekumalla, Yen Low)
122 – Enhancing Precision and Validity: Leveraging Multiple Error-Prone Phenotypes in EHR-Based Association Studies (Yiwen Lu, Jiayi Tong, Rebecca A Hubbard, Yong Chen)
123 – Evaluation of Study Execution using Large-Scale Analytics: A Machine Learning Approach to Assess Pre-Exposure Prophylaxis (PrEP) Utilization in the Real-World (Nag Mani, Xiwen Huang, Li Tao, Hu Li)
124 – Modeling Decisions and Heterogeneity in Defining Aortic Diseases: Implications for Observational Studies and Phenotype Characterization (Evan Minty, Jack Janetzki, James P. Gilbert, Jung Ho Kim, Jung Ah Lee, Elsie Ross, Nicole Pratt, Gowtham Rao, Seng Chan You)
125 – Utilizing Graph Embeddings for Multiple Sclerosis Disease Modifying Therapy Adverse Events (Jason Patterson)
126 – Comparing Penalization Methods for Linear Models on Large Observational Health Data (Egill A. Fridgeirsson, Ross D. Williams, Peter Rijnbeek, Marc Suchard, Jenna Reps)
127 – The necessity of validity diagnostics when drawing causal inferences from observational data (James Weaver, Erica A Voss, Guy Cafri, Kathleen Beyrau, Michelle Nashleanas, Robert Suruki)
128 – External validation using clinical domain knowledge from the SNOMED medical terms hierarchy (LH John, EA Fridgeirsson, JA Kors, JM Reps, PR Rijnbeek)
129 – Creating parsimonious patient-level prediction models using feature selection (Aniek F. Markus, Egill A. Fridgeirsson, Ross D. Williams)
130 – Confidence Score: A Data-Driven Measure for Inclusive Systematic Reviews Considering Unpublished Preprints (Jiayi Tong, Chongliang Luo, Yifei Sun, Rui Duan, M. Elle Saine, Lifeng Lin, Yifan Peng, Yiwen Lu, Anchita Batra, Anni Pan, Olivia Wang, Ruowang Li, Arielle Anglin, Yuchen Yang, Xu Zuo, Yulun Liu, Jiang Bian, Stephen E. Kimmel, Keith Hamilton, Adam Cuker, Rebecca A. Hubbard, Hua Xu, Yong Chen)
131 – Creation of a set of clinical Patient-Level Prediction benchmark tasks (Ross D. Williams, Solomon Ioannou, Evan Minty, Jenna M. Reps)
133 – Incorporating measurement values into patient-level prediction with missing entries: a feasibility study (Xiaoyu Wang, Jenna Reps, Anthony Sena, James P. Gilbert, Marc A Suchard)

Open-Source Analytics Development

201 – Framework and Implementation of an OMOP-Oriented Clinical Data Warehouse Using Databricks (Jared Houghtaling, Kyrylo Simonov, Kyle Zollo-Venecek, Elina Hadelia, Manlik Kwong, Polina Talapova, Clark Evans, Robert Miller, Andrew E. Williams)
202 – Unleashing Community-Wide Research Potential: OHDSI Lab 2.0 – Empowering Scientists, Eliminating IT Hassles (Kristin Kostka, David Madigan, Christian Reich, Asieh Golozar, Brianne Olivieri-Mui, Daniel Pitch, Justin Manjourides, Aleksei Gorodetskii, Deepa Reddy, Juan Carlos Ňamendi Pineda, Osmar Benevidez, Konstantin Yaroshovets, Peter Berzin, Gregory Klebanov)
203 – Save Our Sisyphus Challenge: Lessons learned from Strategus execution on the OHDSI Network (Anthony G. Sena, Jenna Reps, Chungsoo Kim, Jack Brewster, Adam Black, Linying Zhang, Michael Cook, Phan Thanh Phuc, Scott L. DuVall, Marc A. Suchard)
204 – Using a Continuous Quality Improvement (CQI) Approach for Gap Analysis of OHDSI/ATLAS as An Enterprise Self-Service Analytics Platform by Academic Medical Centers (Selvin Soby, Pavel Goriacko, Jimmy John, Pavan Parimi, Erin M. Henninger, Parsa Mirhaji)
205 – Refactoring OHDSI cohort queries for performance: lessons from VA study participation (Benjamin Viernes, Marc A. Suchard, Patrick R. Alba, Katherine R. Simon, Michael E. Matheny, Scott L. DuVall)
206 – Demonstration of the OHDSI phenotype library (Gowtham Rao)
207 – A proposal for composite concept sets (Sigfried Gold, Harold P Lehmann, Lisa Eskenazi, Xiaohan Tanner Zhang, Stephanie Hong, Richard L. Zhu, Christopher G. Chute)
209 – Exporting and Running OHDSI Generated Cohort Definitions in a Secure Enclave (Janos Hajagos)
210 – A Novel Approach to Matching Patients to Clinical Trials Using the OMOP Common Data Model (Jimmy John, Parsa Mirhaji, Surbhi Obeja, Boudewijn Aasman, Nina Bickell, Bruce Rapkin, Erin M. Henninger, Pavel Goriacko, Selvin Soby)
211 – Making OHDSI Tooling accessible to Researchers and Students in a HIPAA Compliant Platform (Hannah Morgan-Cooper, Adam Black, Behzad Naderalvojoud, Evan Minty, Priya Desai)
212 – Polyphemus: Personalized Open-Source Language Models for Yielding Precise Health-Enhancing Medical Understanding and Support (Hayden Spence)
213 – The Use of the Julia Programming Language for Global Health Informatics and Observational Health Research (Jacob Zelko, Varshini Chinta, Malina Hy, Fareeda Abdelazeez)
214 – Building community, infrastructure, and insights for perinatal and reproductive health research in OHDSI (Alison Callahan, Stephanie Leonard, Louisa Smith)
216 – OHDSI on Databricks: A Complete Guide to Implementing OHDSI on Databricks (John Gresh, Brad Rechkemmer)
217 – OHDSI Network Study Execution Framework and Templating (Ben Martin, Cindy Cai, Asieh Golozar, Paul Nagy)
218 – A use case of OHDSI ATLAS in a high-throughput genome wide association study pipeline (Craig C. Teerlink, Hamid Saoudian, Richard Boyce, Philip S. Tsao, Michael E. Matheny, Marc A. Suchard, Kyle M. Hernandez, Robert Grossman, Scott L. DuVall)

Clinical Applications

301 – Patient-centered Economic Burden of Non-proliferative Diabetic Retinopathy with Diabetic Macular Edema (Kyungseon Choi, Sang Jun Park, Hyuna Yoon, Hae Sun Suh)
302 – Enabling Innovation at the Bedside using STARR-OMOP (Priya Desai, Alison Callahan, Juan M. Banda, Nikesh Kotecha, Shreya Shah, Somalee Datta)
303 – HowOften: Large Scale Incidence Rate Calculation of Every Side Effect for Every Drug (Elise Ruan, Karthik Natarajan, Ruijun Chen, Jungmi Han, Mark Velez, Taha Abdul-Basser, Edwin M. Cruz, Cindy Hsin-Yi Chen, Patrick Ryan, George Hripcsak)
304 – Postnatal growth deficiency and neurodevelopmental delay phenotypes to study drug safety during pregnancy (Amir Sarayani, Jill Hardin, Melanie Jacobson, Rupa Makadia, Joel Swerdel, Kevin Haynes, David Kern)
305 – Treatment pattern of osteoporosis in postmenopausal women using OMOP CDM (Dachung Boo, Seungjin Baek, Namki Hong, Yumie Rhee, Seng Chan You)
306 – Estimating the comparative risk of kidney failure associated with intravitreal anti-vascular endothelial growth factor (anti-VEGF) exposure in patients with blinding diseases (Cindy X. Cai, Mary Grace Bowring Diep Tran, Paul Nagy, Michael Cook, Akihiko Nishimura, Jia Ng, Marc A. Suchard, Scott L. DuVall, Michael Matheny, Asieh Golozar, Anna Ostropolets, Evan Minty, Fan Bu, Brian Toy, Will Halfpenny, Michelle Hribar, Jody-Ann McLeggon, Thomas Falconer, Linying Zhang, Laurence Lawrence-Archer, George Hripcsak)
307 – Comorbidity Co-occurrence in Women with Endometriosis: A Retrospective Matched Cohort Study (Tamar Zelovich, Vered Klaitman-Mayer, Chen Yanover)
308 – Data-driven assessment of mental health among children and adolescents with food allergy (Natalie Flaks-Manov, Inbal Goldshtein, Chen Yanover)
309 – From Complexity to Clarity: Reproducible and Scalable Phenotype Development and application of LLM in a support role (Asieh Golozar, Albert Prats Uribe, Tom Seinen, Dani Prieto-Alhambra, Peter Rijnbeek, Christian Reich)
310 – Mother-Infant Linked Data: Methodology, Case Studies, and Cohort Development for Investigating Prenatal Exposure and Neonatal Outcomes (Jill Hardin, Alexis Krumme, David Kern, James Weaver, Clair Blacketer)
311 – Developing a Personalized Clinical Decision Support System for Statin Therapy for Primary Prevention using OMOP-CDM and Deep Learning Techniques (Su Min Kim, Ju-Hyeon Kim, Yunjin Yum, Eunbeen Jo, Jose Moon, Jong-Ho Kim, Yong Hyun Kim, Eung Ju Kim, Hyung Joon Joo)
312 – Observational Research in Dentistry: A Scoping Review (Robert Koski, Danielle Boyce, Brock Johnson, Adam Bouras, Swetha Kiranmayi Jakkuva)
313 – Impact of concomitant use of proton pump inhibitors and clopidogrel on cardiovascular adverse outcomes – A multicenter study using common data model (Seonji Kim, Kyung Joo Lee, Seng Chan You, Seung In Seo)
314 – Improving the detection of behavioral health conditions through positive and unlabeled learning: opioid use disorder (Praveen Kumar, Christophe G. Lambert)
315 – Prediction of Hospital Length of Stay for Planned Admissions Using OMOP CDM (Haeun Lee, Seok Kim, Hui-Woun Moon, Se Young Jung, Ho-Young Lee, Sooyoung Yoo)
316 – Antihypertensive medication use in pregnancy: A pilot OHDSI network analysis in electronic health record data (Stephanie A. Leonard, Louisa H. Smith, Sara Siadat, Karthik Natarajan, Brian T. Bateman, Thomas Falconer, John DiPalazzo, Alison Callahan)
317 – Phenotype Development for Neonatal Hypoxic Ischemic Encephalopathy Using Electronic Health Record and Claims Datasets (Star Liu, Tony Widenor, Danielle Boyce, Gowtham Rao, Evan Minty, Khyzer Aziz)
318 – Using Contrastive Principal Component Analysis to Identify Post-acute Sequelae of SARS-CoV-2 Infection Subphenotypes: an EHR-Based Cohort from the RECOVER Program (Xiaokang Liu, Yishan Shen, Naimin Jing, Christopher B. Forrest, Yong Chen)
319 – Large variety Country size RWD data-lake (Guy Livne, Keren Rosenstein, Atif Adam, Milou Brand, Nikolai Grewe, Ludovica Ancora, Nathan Japhet)
320 – The importance of including socioeconomic characteristics in prediction models of COVID-19 in Brazil, and in other highly unequal societies (Valentina Martufi, Renzo Flores-Ortiz, Priscilla Normando, Vinicius A. Oliveira, Maria Yury Ichihara, Mauricio L. Barreto, Elzo P. P. Júnior)
321 – Identification of HIV positive individuals across multiple datasets (Craig Mayer)
322 – Trend in Prescription Pattern in Heart Failure Medications (Septi Melisa, Christianus Heru Setiawan, Daniel C.A. Nugroho, Muhammad Solihuddin Muhtar, Dian Tri Wiyanti, Phan Thanh-Phuc, Nguyen Phung-Anh, Jason C. Hsu)
323 – Characteristics Associated with Persistent Opioid Use Following Total Joint Arthroplasty (Aurora Quaye, Janelle Richard, Henry Stoddard, Robert Krulee, Blaire Beers-Mulroy, Kristin Kostka, John DiPalazzo)
324 – Unraveling the Mediating Role of Frailty: Understanding Health Care Utilization among Older Sexual and Gender Minority Adults in the All of Us Research Program (Chelsea N Wong, Louisa H Smith, Robert Cavanaugh, Brianne Olivieri-Mui)
325 – Characteristics and outcomes of over a million inflammatory bowel disease subjects in seven countries: a multinational cohort study (Chen Yanover, Ramit Magen-Rimon, Erica Voss, Joel Swerdel, Anna Sheahan, Nathan Hall, Jimyung Park, Rae Woong Park, Kwang Jae Lee, Sung Jae Shin, Seung In Seo, Kyung-Joo Lee, Thomas Falconer, Leonard Haas, Paul Nagy, Mary Bowring, Michael Cook, Steven Miller, Tal El-Hay, Maytal Bivas-Benita, Pinchas Akiva, Yehuda Chowers, Roni Weisshof)
326 – Validation and Comparison of Frailty Indexes: An OHDSI Network Study (Chen Yanover, Louisa Smith, Tal El-Hay, Brianne Olivieri-Mui, Maytal Bivas-Benita, Robert Cavanaugh, Pinchas Akiva, Chelsea N. Wong, Ariela Orkaby)
327 – Quantification of Symptom Documentation on Disease Diagnosis Date in Structured Claims Data: An Application of the OHDSI Phenotype Library (Gowtham A. Rao, Azza Shoaibi)
328 – Prediction of End Stage Renal Disease in Patients with Type 2 Diabetes Mellitus Patients Using Common Data Model and Machine Learning Algorithm (Hyuna Yoon, Kyungseon Choi, Sang Youl Rhee, Hae Sun Suh)
329 – Risk of aortic aneurysm or dissection following exposure to fluoroquinolone antibiotics (Jack L. Janetzki, Jung Ho Kim, Jung Ah Lee, Seng Chan You, Nicole L. Pratt)
330 – Establishing and Operating the OHDSI Dentistry Workgroup: A Model for Other Disciplines (Danielle Boyce, Robert Koski, Brock Johnson)
331 – Harnessing OHDSI’s Framework for a Global Real-World Evidence Master’s Degree Program (Justin Manjourides, Kristin Kostka, Christian Reich, Asieh Golozar)
332 – Incorporating Real-World Data Research in Training First-Year Medical Students Using OHDSI OMOP and Atlas tools (Pavel Goriacko, Parsa Mirhaji, Jimmy John, Pavan Parimi, Erin M. Henninger, Daniel Beiter, Rakin Islam, Daniel Chernovolenko, Selvin Soby)
333 – Analyzing a Tabloid Headline with Real-World Data: A Summer Intern’s Investigation (Delia Harms, Kristin Kostka)
334 – Guidance for Communication of the OHDSI Network Study Approach with Institutional Review Boards (Ben Martin, Mary Grace Bowring, Paul Nagy)
335 – Real-world Effectiveness of BNT162b2 in Children and Adolescents in Preventing Infection and Severe Diseases with SARS-CoV-2 During the Delta and Omicron Periods (Qiong Wu, Jiayi Tong, Bingyu Zhang, Dazheng Zhang, Jie Xu, Yishan Shen, Lu Li, L. Charles Bailey, Jiang Bian, Dimitri A. Christakis, Megan L. Fitzgerald, Kathryn Hirabayashi, Ravi Jhaveri, Alka Khaitan, Tianchen Lyu, Suchitra Rao, Hanieh Razzaghi, Hayden T. Schwenk, Fei Wang, Margot I. Witvliet, Eric J. Tchetgen, Jeffrey S. Morris, Christopher B. Forrest, and Yong Chen)
336 – Telehealth Utilization for Diabetes Care Among Individuals with Medicare and Medicaid Coverage (Nick Williams)
337 – Quantifying Racial Disparities in Kidney Graft Failure Rates Using US Registry Data with Federated Learning Algorithms (Dazheng Zhang, Jiayi Tong, Xing He, Jiang Bian, Yong Chen)

Software Demos

401 – Integrating ATLAS Cohorts with DICOM Images and ECG Waveforms to Enrich Real-World Evidence Research (Boudewijn Aasman, Selvin Soby, Sudhakar Veeraraghavan, Erin M. Henninger, Chandra has Nelapatla, Manuel Wahle, Adil Ahmed, Pavel Goriacko, Parsa Mirhaji)
402 – A tool for empirically identifying and reviewing candidate comparators for Pharmacoepidemiological studies (Justin Bohn, Jamie P. Gilbert, Christopher Knoll, David M. Kern, Patrick B. Ryan )
403 – Leveraging the OMOP Common Data Model to Support Distributed Health Equity Research (Sarah Gasman, William G. Adams)
404 – Enhancing Data Characterization through Annotation (Frank DeFalco, Mikhail Iontsev, Clair Blacketer)
405 – Enhancing Comparator Selection in OHDSI studies using Cohort Subset Operations: A Software Demo of the CohortGenerator R HADES Package (James P Gilbert, Anthony Sena, Justin Boh, Chris Knoll, David Kern)
406 – Introducing KOIOS: removing impediments in genomic variant identification and mapping (Laurence Lawrence-Archer, Vlad Korsik, Varvara Savitskaya, Phani Kishore Davineni, John Methot, Asieh Golozar, Christian Reich)
407 – GUSTO Data Vault: Laying the foundations for an open science system with OMOP Data Catalogue (Cindy Ho, Li Ting Ang, Maisie Ng, Hang Png, Shuen Lin Tan, Estella Ye, Sunil Kumar Raja, Mengling Feng, Johan G Eriksson, Mukkesh Kumar) * – Best Community Contribution Honoree
408 – Ulysses: Introducing a workflow R package for assisting in the development of OHDSI studies (Martin Lavallee, Asieh Golozar)
409 – OMOP-to-BULK FHIR: A tool to convert population level clinical data into standardized FHIR batch data (Andrey Soares, Shahim Essaid, Michael G. Kahn)
410 – Expanding the OMOP Common Data Model in Accord with Federal Rules for Hospital Price Transparency and Transparency in Coverage (Jaan Altosaar Li, Jacob Zelko)
411 – Integration of Atlas into the Gen3 Data Commons Framework (Richard D Boyce, Craig C. Teerlink, Hamid Saoudian, Kyle M. Hernandez, Victoria Zaksas, Pieter Lukasse, Andrew Prokhorenkov, Noah Metoki-Shlubsky, Robert L. Grossman, Scott L. DuVall)
412 – DrugUtilisation: an R Package to implement Patient-level Drug Utilisation Studies analysis using the OMOP CDM (Kim Lopez-Guell, Yuchen Guo, Mike Du, Xintong Li, Ger Inberg, Therese Buckhard, Annika M. Jödicke, Artem Gorbachev, Daniel Prieto-Alhambra, Edward Burn, Martí Català)
413 – 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)
414 – The OHDSI Analysis Viewer: Utilizing a suite of open-source packages and standardized tools in a unified platform for the interactive analysis of observational data (Nathan Hall, Jenna Reps, Jamie Gilbert)
415 – Using OMOP-CDM to Develop Dynamic Disease Registries and Analytic Data Enclaves to Share and Use Real-world Evidence (Erin M. Henninger, Selvin Soby, Manuel Wahle, Boudewijn Aasman, Pavel Goriacko, Chandra has Nelapatla, Reetam Nath, Parsa Mirhaji)
416 – Introducing ARTEMIS: Advanced Regimen Detection Using an Adapted Smith-Waterman Algorithm (Asieh Golozar, Laurence Lawrence-Archer, Travis Zack, Jeremy L. Warner, Christian Reich)
417 – Using the Informatics for Integrating Biology and the Bedside Platform to Query OMOP Data in the OHDSI Ecosystem (Jeffrey G. Klann, Griffin M. Weber, Michele Morris, Michael Mendis, Diane Keogh, Shawn N. Murphy)
418 – Utilizing ARACHNE Data Node and Execution Engine for Network Study execution (Gregory Klebanov, Alexey Manoylenko)
419 – Broadsea 3.0: “BROADening the ohdSEA” (Ajit Londhe, Lee Evans, Sanjay Udoshi)
420 – CohortSurvival: an R package for survival analysis using the OMOP CDM (Kim López-Güell, Marti Català, Danielle Newby, Ian Koblbauer, Xintong Li, Berta Raventós, Maria de Ridder, Talita Duarte-Salles, Dani Prieto-Alhambra, Edward Burn)
421 – Standardized Business Intelligence (BI) Dashboards with OMOP (Gregory Klebanov, Anna Ostropolets)
422 – Integration of Scalable Natural Language Processing to the Atlas Cohort Building Workflow (Pavan Parimi, Selvin Soby, Pavel Goriacko, Chandra has Nelapatla, Boudewijn Aasman, Manuel Wahle, Reetam Nath, Parsa Mirhaji)
423 – Criteria2Query 3.0 Powered by Generative Large Language Models (Jimyung Park, Yilu Fang, Chunhua Weng)
424 – PheMIME: An Interactive Web App and Knowledge Base for Phenome-Wide Multi-Institutional Multimorbidity Analysis (Siwei Zhang, Nick Strayer, Tess Vessels, Karmel Choi, Geoffrey Wang, Yajing Li, Cosmin Bejan, Ryan Hsi, Alexander Bick, Justin Balko, Douglas Johnson, Digna Velez Edwards, Michael Savona, Elizabeth Philips, Dan Roden, Jordan Smoller, Douglas Ruderfer, Yaomin Xu)

Lightning Talks

501 – Mapping of Critical Care EHR Flowsheet data to the OMOP CDM via SSSOM (Polina Talapova, Andrew Williams, Nicolas Matentzoglu, Anna Ostropolets, Michael Kallfelz)
502 – Paving the way to estimate daily dose in OMOP CDM for Drug Utilisation Studies in DARWIN EU® (Theresa Burkard, Kim Lopez-Güell, Artem Gorbachev, Annika M Jödicke, Nuria Mercadé-Besora, Talita Duarte-Salles, Maria de Ridder, Mees Mosseveld, Dani Prieto-Alhambra, Christian Reich, Marti Catala)
503 – Generating Synthetic Electronic Health Records in OMOP GPT (Chao Pang, Xinzhuo Jiang, Nishanth Parameshwar Pavinkurve, Krishna S. Kalluri, Elise L. Minto, Karthik Natarajan) * – Best Community Contribution Honoree
504 – Comparing concepts extracted from clinical Dutch text to conditions in the structured data (Tom M. Seinen, Jan A. Kors, Erik M. van Mulligen, Peter R. Rijnbeek)
505 – Finding a constrained number of predictor phenotypes for multiple outcome prediction (Jenna M Reps, Jenna Wong, Egill A. Fridgeirsson, Chungsoo Kim, Luis H. John, Ross D. Williams, Patrick Ryan)
506 – Synthesizing Evidence for Rare Events: a Novel Zero-Inflated Bivariate Model to Integrate Studies with Double-Zero Outcomes (Lu Li, Lifeng Lin, Haitao Chu, Yong Chen)
507 – Active Safety Surveillance Using Real-world Evidence (ASSURE): An application of the Strategus package (Kevin Haynes, Jenna Reps, Justin Bohn, Gowtham Rao, Mitchell Conover, Martijn Schuemie, Anthony Sena, Kourtney Davis, Patrick Ryan)
508 – Patient’s outcomes after endoscopic retrograde cholangiopancreatography (ERCP) using reprocessed duodenoscope accessories: a descriptive study using real-world data (Jessica Mayumi Maruyama, Eduardo Sleiman Beljavskis, Laila Colações, Lisandry Aquino, Renata Martins, Sarah Rodrigues, Suellen dos Santos, Julio Cesar Barbour Oliveira) * – Best Community Contribution Honoree
509 – Does COVID-19 Increase Racial/Ethnic Differences in Prevalence of Post-acute Sequelae of SARS-CoV-2 infection (PASC) in) Children and Adolescents? an EHR-Based Cohort from the RECOVER Program (Dazheng Zhang, Bingyu Zhang, Qiong Wu, Ting Zhou, Jiayi Tong, Yiwen Lu, Jiajie Chen, Deena J. Chisolm, Ravi Jhaveri, Russell L Rothman, Suchitra Rao, David A. Williams, Mady Hornig, Jeffrey S. Morris, Christopher B. Forrest, Yong Chen)
510 – Eye Care and Vision Research Workgroup: First Year Update (Michelle R. Hribar, Michael Boland, Cindy X. Cai, Kerry E. Goetz, Will Halfpenny, Swarup S. Swaminathan, Brian Toy, Sally L. Baxter)