2019 OHDSI Symposium Collaborator Showcase


Observational Data Standards & Management

#1: Extending OHDSI’s Standard Terminologies with Pre-clinical Terminologies (Erik M. van Mulligen, Marcel de Wilde, Solène Grosdidier, Jan A. Kors, and Johan van der Lei)

#2: Difference of Emergency Department Frequent Users’ Clinical Characteristics between Two Tertiary Teaching Hospitals in South Korea (Doyeop Kim, BE, Jaeyong Yu, MS, Seng Chan You, MD, MS, Won Chul Cha, MD, Rae Woong Park, MD, PhD)

#3: Modeling self-harm behaviors using psychiatric CDM (Eunyoung Lee, Sang Joon Son, Heirim Lee, Bumhee Park)

#4: Study on Pathology Common Data Model Using Natural Language Processing Toward Implementation of Integrated Platform for Clinical and Omics Data (Borim Ryu, MS, Eunsil Yoon, MS, Seok Kim, MS, Hyunyoung Baek, MS, Sejoon Lee, PhD, Rong-Min Baek, PhD, Sooyoung Yoo, PhD)

#5: Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data (Juan Banda)

#6: The process, standardization and patterns in OMOP CDM ETL (Dave Barman, Mikhail Archakov, Natalia Karataeva, Gregory Klebanov)

#7: Lessons from an ETL to OMOP Journey in Cleveland (Mark F. Beno, MSM, Paola Saroufim, PharmD, MPH)

#8: HL7 version 2 Message Conversion to OMOP using OMOPonFHIR (Myung Choi, Ph.D., Michael Riley, Jon Duke, M.D., Marla Gorges)

#9: Simulacra and Simulation: How simulated data can enable OHDSI application development, methods research, and user adoption (Frank J. DeFalco, Clair Blacketer, Anthony Molinaro, James Wiggins)

#10: Behind the curtain: Development and evaluation of a systematic process to transform a network of observational data into the OMOP Common Data Model to enable end-to-end reproducible research (Frank J. DeFalco, Clair Blacketer, Ajit A. Londhe, MPH, Anthony Molinaro, Anton Ivanov)

#11: HemOnc: A New Standard Vocabulary for Oncology Drug Regimen Representation in the OMOP Common Data Model (Dmitry Dymshyts, Christian G. Reich, Michael J. Gurley, Harry Hochheiser, Zachary H. Moldwin, Rimma Belenkaya, Andrew E. Williams, Peter C. Yang, Jeremy L. Warner)

#12: Conversion of Diagnosis and Chemotherapy Data in Electronic Health Records to Episode-based Oncology Extension of OMOP-CDM (Hokyun Jeon, Seng Chan You, MD, Jimyung Park, Rae Woong Park, MD, Ph.D)

#13: Evaluation of a semi-automated code mapping and management system (Soondong Kim, MCS, Aelan Park, RN,CMD, PhD, Soo-Yeon Cho, RN, MPH, Sukyoung Lee, RN, MPH, Hye Jin Kam, PhD)

#14: Increasing the Representativeness of OHDSI Network Studies through Globalization of the OHDSI Community (Kristin Kostka, MPH, Mui Van Zandt, BS, Mike Denis, MSc, Peter Rijnbeek, PhD, Jose Posada, PhD, Martin Campodonico, BS, Guilherme Silva Julian, MS, Jose Pinzon, MD, Christian Reich, MD, PhD)

#15: Reimagining Quality Reporting using the OMOP CDM NOTE_NLP Table: A Pilot (Kristin Kostka, MPH, Simon Beaulah, MSc, Elizabeth Marshall, MD, MBA, Benjamin N. Hamlin, MPH)

#16: FEEDER-NET (Federated E-health Big Data for Evidence Renovation Network) in Korea (Seongwon Lee, PhD, Seng Chan You, MD, Ji-Young Hwang, EMT-P, PhD, Rae Woong Park, MD, PhD

#17: OMOP-CDM Conversion and Anonymization of National Health Insurance Service-National Sample Cohort (Seongwon Lee, Seng Chan You, Jimyung Park, Jaehyeong Cho, Santa Borel, Khaled El Emam, Rae Woong Park)

#18: Development of a Deep Learning-Based Automated Mapping Tool in the Conversion Process of OMOP-CDM (Yourim Lee, MS, Ba Rom Kang, BS, Soondong Kim, MCS, Soo-Yeon Cho, RN, MPH, Aelan Park, RN, CMD, PhD, Ha Young Kim, PhD, Byungkon Kang, PhD, Hye Jin Kam, PhD)

#19: Concept Heterogeneity in the OHDSI Network (Anna Ostropolets, MD, Anthony Molinaro, Frank DeFalco, Jitendra Jonnagaddala, MIS, PhD, Siaw-Teng Liaw, PhD,FACMI, Hokyun Jeon, Rae Woong Park, MD, PhD, Matthew E. Spotnitz, MD, MPH, Karthik Natarajan, PhD, George Argyriou, Kristin Kostka, MPH, Christian Reich, MD, PhD, Chunhua Weng, PhD, Patrick Ryan, PhD)

#20: Combining the ATC Drug Classification System with the RxNorm Drug Nomenclature into a comprehensive Drug Ontology: Challenges and Achievements (Anna Ostropolets, MD, Hamed Abedtash, PharmD, PhD, Peter Rijnbeek, PhD, Marcel de Wilde, Alexander Davydov, Olha Marushchak, Christian Reich, MD)

#22: Themis Part 2 – The ETL data quality conversion initiative (Melanie Philofsky, RN, MS; Meghan Pettine, MS; Karthik Natarajan, PhD)

#23: Conversion of Nationwide Health Insurance Claims Data into the Common Data Model in Korea: Data Validation with 7.6 Million Cancer Patients’ Healthcare Utilization Data for the Past 11 Years (Yeunsook Rho; Jiwoo Kim; Jimyung Park; Jaehyeong Cho; Youjin Park; Seng Chan You; Yejin Son; Rae Woong Park; Yun Jung Heo)

#24: Standardization, automation and monitoring system for ETL process to improve CDM data quality (Dahye Shin, Seol Paik, Sehee Chang, Junghyun Do, Youmi Lee, Hye jin Kam)

#25: Expanding OHDSI into Asia ( Mui Van Zandt, Hua Xu, PhD, Hui Lu PhD, Rae Woong Park, MD, PhD, Seng Chan You, MD, MS, HeeHwang, MD, Sooyoung Yoo, PhD, Won ChulCha. MD, Dong Kyung Chang, MD, PhD, Tatsuo Hiramatsu, MD, PhD, Mengling Feng, PhD, Liu Lei PhD, Haoyan Cai, MD)

#26: Efforts to vitalize the multi-institutional research network: dedicated support cases through forums and Tutorial (Hyeyeon Cho, Seol Paik, Hye Jin Kam, PhD)

#27: OMOP CDM Oncology Module at Work (Rimma Belenkaya, Michael Gurley, Christian Reich, Dmitry Dymshyts, Jeremy Warner, Robert Miller, Andrew Williams, RuiJun Chen) * WINNER – Best Contribution in Observational Data Standards

#28: A Study on Transformation and Utilization of Common Data Model for Data Analysis of CDA-Based External Referral Document (Hyerim Ji,MS, Seok Kim, MPH, Soyoung Yi, RN, Sooyoung Yoo, PhD)

Methodological Research

#29: Using OHDSI Data Network for Capturing Real World Evidence: Our Experience with a Multi Country Study on an Obese and Overweight Cohort (Hamed Abedtash)

#30: The Counterfactual ?-GAN: An Adversarial Method To Support Covariate Balance (Amelia J Averitt, MPH MA MPhil, Adler J. Perotte, MD MA) * WINNER – Best Contribution in Methodological Research

#31: Approaching Data Model Interoperability between OMOP and PCORnet (Shweta P Chavan, Hanieh Razzaghi, Charlie Bailey, Ritu Khare)

#32: Text Classification for Identifying Eligibility Criteria in Clinical Trial Protocols using Pre-trained Deep Learning Models (Miao Chen, PhD; Victor Lobanov, PhD; Aaron Mackey, PhD)

#33: How much data do we need for clinical prediction? (L.H. John, MSc; P.R. Rijnbeek, PhD)

#34: Selecting comparators for drugs with multiple indications and complex treatment patterns: Example with daratumumab in multiple myeloma (Laura L. Hester, PhD, Dina Gifkins, PhD, Patrick B. Ryan, PhD)

#35: ODAC: learning from local to global – an efficient algorithm for integrating time to event healthcare system data (Rui Duan, BS, Chongliang Luo, PhD, Martijn J. Schuemie, PhD, Yong Chen, PhD)

#36: Using the OMOP CDM to identify gender discordant administrative codes (Kristine E Lynch PhD, Benjamin Viernes MPH, Jodie Katon PhD, Scott L DuVall PhD, Chad A Dorn, Michael E Matheny MD)

#37: Bayesian sparse survival analysis for detecting subgroup effects: with application to comparing first-line hypertension treatments (Aki Nishimura, Martijn J. Schuemie, Seng Chan You, Marc A. Suchard)

#38: Weight-based Integrated Predictive Modelling of Horizontally Distributed Data Under Privacy Preserving (Ji Ae. Park, MS, Hae Reong. Kim, MS, Kyu Yong. Lee, MinDong. Sung, MD, Jeong Hoon. Lee, PhD, Dae Il. Yang, Se Hee. Oh, Yu Rang.Park, PhD)

#39: Assessing heterogeneity of hypertension treatment effects: A risk modeling approach (Alexandros Rekkas, MSc, David Van Klaveren, PhD, Peter R. Rijnbeek, PhD)

#40: High-Performing Machine Learning Models for Phenotype Development (Victor A. Rodriguez, MPhil* , Tony Y. Sun, BS* , Phyllis M. Thangaraj, MPhil* , Karthik Natarajan, PhD, Patrick Ryan, PhD — * equal contribution)

#41: Comparing the Performance Characteristics of General and Specific Diagnosis Codes in Phenotype Algorithms (Joel N. Swerdel, PhD MS MPH; Patrick B. Ryan, PhD)

#42: National-Level Estimates from RWE: Producing Fast Projected Outcomes of Drug Exposure Based on Pharmacy and Medical Claims using OMOP CDM (Anastasios Siapos, Carmen Olga Torre, Sarah Seager, Silvia Valkova)

#43: Assessing Negative Control Exposure-Outcome Pair Selection Strategies on a Replication Study (Erica A. Voss, MPH, Martijn J. Schuemie PhD, Johan van der Lei MD, PhD, Peter R. Rijnbeek, PhD)

#44: Case Studies Beware! Rx and Labs return minor improvements in HIV prevalence capture for Medicare Parts D and B for 2012 to 2016 (Nick Williams, Vojtech Huser, Craig Mayer, Sigfried Gold, Kin Wah Fung)

#45: FAIR Phenotyping with APHRODITE (Juan Banda)

#46: Best practices for creating the standardized content of an entry in the OHDSI phenotype library (James Weaver, Aaron Potvien, Joel Swerdel, Erica A Voss, Laura Hester, Azza Shoaibi, Patrick B Ryan, Jon Duke)

Open-Source Analytics Development

#47: Query Combinators for OHDSI (Clark C. Evans and Kyrylo Simonov)

#48: A Docker based workflow for building machine learning model datasets utilizing the OHDSI common data model (Janos Hajagos)

#49: Set of derived metadata elements for comparing cohorts from human clinical trials datasets and EHR (Vojtech Huser, Nick Williams, Sigfried Gold, Kin Wah Fung)

#50: Feature Engineering To Power Machine Learning Phenotype Development (Xinzhuo Jiang, Krishna S. Kalluri, Chao Pang, Junghwan Lee, Cong Liu, Ruijun Chen, Patrick Ryan, Karthik Natarajan)

#51: Local Control: a microaggregation methodology for performing bias-corrected reproducible observational studies across data silos while protecting patient privacy (Nicolas R. Lauve, Stuart J. Nelson, S. Stanley Young, Robert L. Obenchain, Christophe G. Lambert, PhD)

#52: Generate the concept representation using OMOP ontology graph (Junghwan Lee, Cong Liu, PhD, Ning Shang, PhD, Xinzhuo Jiang, MS, Kai Chen, Krishna Sai Dheeraj Kalluri, MS, Chao Pang, PhD, Karthik Natarajan, PhD, Patrick Ryan, PhD, Chunhua Weng, PhD)

#53: A Collaborative Approach to Phenotype Development: Framing Conceptset Discovery as a Machine Learning Problem (Amelia J. Averitt, Shreyas A. Bhave , Kai Chen , Ruijun Chen, Noémie Elhadad, Thomas Falconer, George M. Hripcsak, Xinzhuo Jiang, Krishna S. Kalluri, Andrew S. Kanter, Junghwan Lee, Cong Liu, Anna Ostropolets, Chao Pang, Adler Perotte, Victor Rodriguez, James R. Rogers, Fabricio Sampaio Peres Kury, Ning Shang, Matthew E. Spotnitz, Tony Y. Sun, Casey Ta, Liana Tascau, Nicholas P. Tatonetti, Phyllis M. Thangaraj, Runsheng Wang, Chunhua Weng, Karthik Natarajan, Patrick B. Ryan)

#55: Use of Event Combined Table to Simplify ETL into OMOP CDM (Don Torok)

#56: Event Lookup for Fact Tables (Frank DiMartini, Mui Van Zandt, Anthony Reckard)

#57: OHDSI on AWS Reference Architecture Poster (James Wiggins, Frank DiMartini, Mui Van Zandt)

#58: Structuring Clinical Decision Support Log: Beyond Deploying Prediction Model (Junsang, Yoo, RN, Sujeong Hur, RN, Jeonghoon Lee, MD, Won Chul, Cha, MD)

Clinical Applications

#60: Development of Patient-Level Prediction Models for Preterm Birth (Jill H. Hardin, MBA, MS, PhD, Patrick B. Ryan, PhD, Jenna M. Reps)

#61: Development of Unplanned Extubation Prediction Model in Intensive Care Unit (Sujeong Hur, RN, Jiyoung Min, Junsang Yoo, RN, Won Chul Cha, MD)

#62: Development of a Machine-Learning Model to Predict Mortality and Its Cause Using the National Health Insurance Service National Sample Cohort (Chungsoo Kim, Pharm.D., Seng Chan You, M.D. MS., Rae Woong Park M.D., Ph.D)

#63: Visit level machine learning imputation of uncoded self-harm in major mental illness and characterization of incidence of self-harm (Praveen Kumar; Anastasiya Nestsiarovich, M.D., Ph.D.; Stuart J. Nelson, M.D.; Berit Kerner, M.D.; Douglas J. Perkins, Ph.D.; Christophe G. Lambert, Ph.D.)

#64: Introducing OHDSI Analytics at VCU in the LTS OHDSI cloud: An Example Application of Empirical Calibration Using Synthetic EMR Data for Detecting Cancer Risk in Oral Bisphosphonate Users (Martin A.D. Lavallee, Roy T. Sabo Ph.D., Lee Evans)

#65: Clustering of chief complaint (Jeonghoon Lee, MD, Won Chul Cha, MD)

#66: Validation of Real World Data: Case study in hepatitis C (Craig Mayer, Nick Williams, Sigfried Gold, Kin Wah Fung, Vojtech Huser)

#67: Homogeneity Within and Between the Study Cohort and the Potentially Eligible: A Case Study for a Liver Transplant Clinical Trial (James R Rogers, MS, Chunhua Weng, PhD)

#68: Risk of bacterial pneumonia in patients with proton pump inhibitors versus histamine-2 receptor antagonist: A Korean single center-based long-term cohort study using OMOP-CDM Common Data Model (Seung In Seo, M.D., Seung Chan You, M.D., You Sang Ko, M.D., Ye Rim Kim, M.D., Jong Jin Yoo, M.D., Woon Geon Shin, M.D.)

#69: An algorithm for classification of ovarian cancer histopathology images and prediction of genetic variants (Seo Jeong Shin, MS, Jin Roh, MD, Ph.D, Seng Chan You, MD, MS, Ho kyun Jeon, Kwang Soo Jeong, Suk-Joon Chang, MD, Hee-Sug Ryu, MD, Jang-Hee Kim, MD, Rae Woong Park, MD, Ph.D) * CO-WINNER – Best Contribution in Clinical Applications

#70: The Association Between Preoperative 3D Rendering Prior to an Elective Total Knee, Shoulder or Hip Arthroplasty and Postoperative Outcomes: Real World Evidence from the OHDSI Network (Matthew E. Spotnitz, M.D., M.P.H., Edward Burn, Ph.D., Thomas W. Hamilton M.D. D.Phil., Jeffrey A. Geller, M.D., Kristin Kostka, M.P.H., Karthik Natarajan, Ph.D)

#71: Relative Risk of Cervical Neoplasms Among Copper and Levonorgestrel Intrauterine Device Users (Matthew E. Spotnitz, M.D., M.P.H., Karthik Natarajan Ph.D., Patrick B. Ryan, Ph.D., and Carolyn L. Westhoff, M.D., M.Sc.)

#72: The Association Between Image Guided Endoscopic Sinus Surgery and Postoperative Revision Incidence: Real World Evidence from Columbia University Medical Center (Matthew E. Spotnitz, M.D., M.P.H., Karthik Natarajan, Ph.D., Jonathan B. Overdevest, M.D. Ph.D)

#73: Comparing Performance Characteristics of Phenotype Algorithms for Dermatological and Renal Diseases (Joel N. Swerdel, PhD MS MPH; Patrick B. Ryan, PhD)

#74: Treatment pathways of oral anticoagulants for stroke prevention in atrial fibrillation patients – Patterns from multiple countries (Pareen Vora, MSc, Henry Morgan Stewart, MSc, Beth Russell, MRes, Alex Asiimwe, PhD, Gunnar Brobert, PhD)

#75: Net Clinical Benefit of Ticagrelor Compared to Clopidogrel in patients with Acute Coronary Syndrome (Seng Chan You; Yeunsook Rho; Jiwoo Kim; Anastasios Siapos; Ajit Londhe; Jaehyeong Cho; Jimyung Park; Martijn Schuemie; Marc A Suchard, MD, PhD; David Madigan PhD; George Hripcsak MD; Christian G. Reich; Patrick B. Ryan; Rae Woong Park, MD, PhD; Harlan M. Krumholz, MD)

#76: Validation of Machine Learning-based Models for Estimating Low-Density Lipoprotein Cholesterol using OHDSI network (Sora Youn, Suk Jung, TaehoonKo, Gyu Chul Oh, Kwangsoo Kim, Sae Won Choi, Yeseul Bae, Hae Young Lee, Hyung Jin Yoon, Kyung Hwan Kim)

#77: Comparing 102 psychotropic drug regimens for diabetes mellitus risk (Anastasiya Nestsiarovich, M.D., Ph.D.,Berit Kerner, M.D., Aurélien J. Mazurie, Ph.D., Daniel C. Cannon, Yiliang Zhu, Ph.D., Stuart J. Nelson, M.D., Tudor I. Oprea, M.D., Ph.D., Annette S. Crisanti, Ph.D., Mauricio Tohen, M.D., Dr.PH., MBA, Douglas J. Perkins, Ph.D., Christophe G. Lambert, Ph.D.)

#79: Delivering on-demand evidence via an informatics consultation service (Alison Callahan, PhD, Saurabh Gombar, MD, Kenneth Jung, PhD, Ethan Steinberg, MSc, Vladimir Polony, AM, Robert Harrington, MD, Nigam H. Shah, MBBS, PhD) * CO-WINNER – Best Contribution in Clinical Applications

#80: Development and validation of patient-level prediction models for adverse outcomes following total knee arthroplasty (Ross D. Williams, MSc, Jenna M. Reps PhD, Peter R. Rijnbeek, Dani Prieto Alhambra PhD, Patrick B. Ryan PhD)

#81: OHDSI-enabled distributed network analysis for clinical trial feasibility: a collaborative case study to inform a pediatrics randomized trial (Rupa Makadia, PhD, MS, Hanieh Razzaghi, MPH, Patrick B. Ryan, PhD, L. Charles Bailey, MD, PhD)


#102: ICARUS WINGS (Youjin Park, Pharm.D, Seng Chan You, MD, MS, Youngsoo Lee, MD, Hyun Young Lee, Ph.D, Eun Young Lee, MS, Hae-Sim Park, M.D, Ph.D, Rae Woong Park, MD, Ph.D)

#105: OHDSI Gold Standard Phenotype Library Architecture (Aaron Potvien, Andrew E. Williams, Austin Himschoot, Christian Reich, Erica Voss, James Weaver, Jill Hardin, Joel Swerdel, Juan M. Banda, Luke Rasmussen, Matthew E. Spotnitz, Patrick Ryan, Jon Duke)

#106: DQUEEN (Junghyun Byun, BE, Dongsu Park, BE, SongHeui Oh, MS, Rae Woong Park, MD, Ph.D) * WINNER – Best Contribution in Open-Source Analytics Development

#107: Software Demo: Introduction To ATLAS (Christopher Knoll, Anthony Sena)

#108: OMOP Abstractor (Michael J. Gurley, Daniel H. Schneider, Martin Borsje, Prasanth Nannapaneni, Firas Wehbe)

#109: SOCRATex: Staged Optimization of Curation, Regularization, and Annotation of Clinical Text (Jimyung Park, Seng Chan You M.D. M.S., Jin Roh M.D. Ph.D, Rae Woong Park M.D. Ph.D)

#110: The EHDEN Academy: Enabling Large-Scale Community Training (Peter Rijnbeek, Luis H. John, Jelle Praet, Anthony Sena, Erica Voss, Clair Blacketer, Nigel Hughes, The EHDEN Consortium)