OHDSI KOREA


OHDSI KOREA

OHDSI 컨소시엄에 소속된 스탠포드대학교, 콜롬비아대학교, 홍콩대학교, UCLA, 존슨앤존슨 등과 함께 범세계적으로 다기관의 임상데이터를 활용하여 연구를 활발히 수행하고 있습니다.

  • Korean
  • Global
  • A Framework (SOCRATex) for Hierarchical Annotation of Unstructured Electronic Health Records and Integration Into a Standardized Medical Database: Development and Usability Study
    Park, Jimyung; You, Seng Chan; Jeong, Eugene; Weng, Chunhua; Park, Dongsu; Roh, Jin; Lee, Dong Yun; Cheong, Jae Youn; Choi, Jin Wook; Kang, Mira;
    JMIR Medical Informatics. 2021 9(3): e23983

  • An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations
    Mun, Yongseok; Kim, Jooyoung; Noh, Kyoung Jin; Lee, Soochahn; Kim, Seok; Yi, Soyoung; Park, Kyu Hyung; Yoo, Sooyoung; Chang, Dong Jin; Park, Sang Jun;
    BMC Medical Informatics and Decision Making. 2021 21(1): 44205

  • Association of serum lipid parameters with the SCORAD index and onset of atopic dermatitis in children
    Kim, Ju Hee; Lee, Seung Won; Yon, Dong Keon; Ha, Eun Kyo; Jee, Hye Mi; Sung, Myongsoon; Sim, Hyeon Jeong; Yoon, Jung Won; Choi, Sun‐Hee; Shin, Youn Ho;
    Pediatric Allergy and Immunology. 2021 32(2): 322-330

  • Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study
    Jeon, Hokyun; You, Seng Chan; Kang, Seok Yun; Seo, Seung In; Warner, Jeremy L; Belenkaya, Rimma; Park, Rae Woong;
    JMIR medical informatics. 2021 9(4): e25035

  • COVID-19 International Collaborative Research by the Health Insurance Review and Assessment Service Using Its Nationwide Real-world Data: Database, Outcomes, and Implications
    Rho, Yeunsook; Son, Yejin; Lee, Yu Jin; Kim, Ji Woo; Lee, Hye Jin; You, Seng Chan; Park, Rae Woong; Lee, Jin Yong;
    Journal of Preventive Medicine and Public Health. 2021 54(1): 44424

  • Effect of renin-angiotensin-aldosterone system inhibitors on Covid-19 patients in Korea
    Park, Jungchan; Lee, Seung-Hwa; You, Seng Chan; Kim, Jinseob; Yang, Kwangmo;
    PloS one. 2021 16(3): e0248058

  • Estimation of sodium‐glucose cotransporter 2 inhibitor–related genital and urinary tract infections via electronic medical record–based common data model
    Ko, SooJeong; Kim, HyungMin; Shinn, Jiwon; Byeon, Sun‐ju; Choi, Jeong‐Hee; Kim, Hun‐Sung;
    Journal of Clinical Pharmacy and Therapeutics. 2021 ():

  • Incidence and management patterns of alcohol-related liver disease in Korea: a nationwide standard cohort study
    Kim, Ha Il; Park, Seo Young; Shin, Hyun Phil;
    Scientific reports. 2021 11(1): 44207

  • Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcomes Partnership Vocabulary
    Seong, Yeonchan; You, Seng Chan; Ostropolets, Anna; Rho, Yeunsook; Park, Jimyung; Cho, Jaehyeong; Dymshyts, Dmitry; Reich, Christian G; Heo, Yunjung; Park, Rae Woong;
    Healthcare Informatics Research. 2021 27(1): 29-38

  • Non-steroidal anti-inflammatory agent use may not be associated with mortality of coronavirus disease 19
    Park, Jungchan; Lee, Seung-Hwa; You, Seng Chan; Kim, Jinseob; Yang, Kwangmo;
    Scientific Reports. 2021 11(1): 44203

  • Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials
    Kim, Jae Hyun; Ta, Casey N; Liu, Cong; Sung, Cynthia; Butler, Alex M; Stewart, Latoya A; Ena, Lyudmila; Rogers, James R; Lee, Junghwan; Ostropolets, Anna;
    Journal of the American Medical Informatics Association. 2021 28(1): 14-22

  • Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership's Common Data Model: a pilot feasibility study
    Kim, Jeong-Whun; Kim, Seok; Ryu, Borim; Song, Wongeun; Lee, Ho-Young; Yoo, Sooyoung;
    Scientific reports. 2021 11(1): 44206

  • Analysis of antiseizure drug‐related adverse reactions from the electronic health record using the common data model
    Choi, Sun Ah; Kim, Hunmin; Kim, Seok; Yoo, Sooyoung; Yi, Soyoung; Jeon, Yonghoon; Hwang, Hee; Kim, Ki Joong;
    Epilepsia. 2020 61(4): 610-616

  • Application of a Common Data Model (CDM) to rank the paediatric user and prescription prevalence of 15 different drug classes in South Korea, Hong Kong, Taiwan, Japan and Australia: an observational, descriptive study
    Brauer, Ruth; Wong, Ian Chi Kei; Man, Kenneth KC; Pratt, Nicole L; Park, Rae Woong; Cho, Soo-Yeon; Li, Yu-Chuan Jack; Iqbal, Usman; Nguyen, Phung-Anh Alex; Schuemie, Martijn;
    BMJ open. 2020 10(1): e032426

  • Application of Epidemiological Geographic Information System: An Open-Source Spatial Analysis Tool Based on the OMOP Common Data Model
    Cho, Jaehyeong; You, Seng Chan; Lee, Seongwon; Park, DongSu; Park, Bumhee; Hripcsak, George; Park, Rae Woong;
    International journal of environmental research and public health. 2020 17(21): 7824

  • Application of Healthcare ‘Big Data’in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN)
    Ilomäki, Jenni; Bell, J Simon; Chan, Adrienne YL; Tolppanen, Anna-Maija; Luo, Hao; Wei, Li; Lai, Edward Chia-Cheng; Shin, Ju-Young; De Paoli, Giorgia; Pajouheshnia, Romin;
    CNS drugs. 2020 34(9): 897-913

  • Association between use of hydrochlorothiazide and nonmelanoma skin cancer: Common data model cohort study in Asian population
    Lee, Seung Min; Kim, Kwangsoo; Yoon, Jihoon; Park, Sue K; Moon, Sungji; Lee, Sang Eun; Oh, JiSeon; Yoo, Sooyoung; Kim, Kwang-Il; Yoon, Hyung-Jin;
    Journal of clinical medicine. 2020 9(9): 2910

  • Characterization of Anti-seizure Medication Treatment Pathways in Pediatric Epilepsy Using the Electronic Health Record-Based Common Data Model
    Kim, Hunmin; Yoo, Sooyoung; Jeon, Yonghoon; Yi, Soyoung; Kim, Seok; Choi, Sun Ah; Hwang, Hee; Kim, Ki Joong;
    Frontiers in Neurology. 2020 11(): 409

  • Common causes and characteristics of adverse drug reactions in older adults: a retrospective study
    Woo, Seong-Dae; Yoon, Jiwon; Doo, Go-Eun; Park, Youjin; Lee, Youngsoo; Lee, So-Hee; Lee, Young-Hee; Ye, Young-Min;
    BMC Pharmacology and Toxicology. 2020 21(1): 44205

  • Common data model-based real-world data for practical clinical practice guidelines: clinical pharmacology perspectives
    Jeon, Yoomin; Choi, Yoona; Kim, Esther Hehsun; Oh, SeonYeong; Lee, Howard;
    Translational and Clinical Pharmacology. 2020 28(2): 67

  • Comparative risk of Clostridium difficile infection between proton pump inhibitors and histamine‐2 receptor antagonists: A 15‐year hospital cohort study using a common data model
    Seo, Seung In; You, Seng Chan; Park, Chan Hyuk; Kim, Tae Joon; Ko, You Sang; Kim, Yerim; Yoo, Jong Jin; Kim, Jinseob; Shin, Woon Geon;
    Journal of gastroenterology and hepatology. 2020 35(8): 1325-1330

  • Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis
    Yeesuk, Kim; Yuxi, Tian; Jianxiao, Yang; Vojtech, Huser; Peng, Jin; Lambert, Christophe G; Hojun, Park; Chan, You Seng; Park, Rae Woong; Rijnbeek, Peter R;
    Scientific Reports (Nature Publisher Group). 2020 10(1):

  • Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis
    Kim, Yeesuk; Tian, Yuxi; Yang, Jianxiao; Huser, Vojtech; Jin, Peng; Lambert, Christophe G; Park, Hojun; You, Seng Chan; Park, Rae Woong; Rijnbeek, Peter R;
    Scientific reports. 2020 10(1): 44206

  • Comparison of first-line dual combination treatments in hypertension: real-world evidence from multinational heterogeneous cohorts
    You, Seng Chan; Jung, Sungjae; Swerdel, Joel N; Ryan, Patrick B; Schuemie, Martijn J; Suchard, Marc A; Lee, Seongwon; Cho, Jaehyeong; Hripcsak, George; Park, Rae Woong;
    Korean circulation journal. 2020 50(1): 52

  • Construction of Artificial Intelligence Training Platform for Multi-Center Clinical Research
    Lee, Chung-Sub; Kim, Ji-Eon; No, Si-Hyeong; Kim, Tae-Hoon; Yoon, Kwon-Ha; Jeong, Chang-Won;
    KIPS Transactions on Computer and Communication Systems. 2020 9(10): 239-246

  • Converting clinical document architecture documents to the common data model for incorporating health information exchange data in observational health studies: CDA to CDM
    Ji, Hyerim; Kim, Seok; Yi, Soyoung; Hwang, Hee; Kim, Jeong-Whun; Yoo, Sooyoung;
    Journal of Biomedical Informatics. 2020 107(): 103459

  • Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network
    Kashyap, Mehr; Seneviratne, Martin; Banda, Juan M; Falconer, Thomas; Ryu, Borim; Yoo, Sooyoung; Hripcsak, George; Shah, Nigam H;
    Journal of the American Medical Informatics Association. 2020 27(6): 877-883

  • Development of Machine Learning Model to Predict the 5-Year Risk of Starting Biologic Agents in Patients with Inflammatory Bowel Disease (IBD): K-CDM Network Study
    Choi, Youn I; Park, Sung Jin; Chung, Jun-Won; Kim, Kyoung Oh; Cho, Jae Hee; Kim, Young Jae; Lee, Kang Yoon; Kim, Kwang Gi; Park, Dong Kyun; Kim, Yoon Jae;
    Journal of Clinical Medicine. 2020 9(11): 3427

  • Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study
    Choi, Youn I; Kim, Yoon Jae; Chung, Jun-Won; Kim, Kyoung Oh; Kim, Hakki; Park, Rae Woong; Park, Dong Kyun;
    JMIR medical informatics. 2020 8(4): e15124

  • Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation
    Reps, Jenna M; Williams, Ross D; You, Seng Chan; Falconer, Thomas; Minty, Evan; Callahan, Alison; Ryan, Patrick B; Park, Rae Woong; Lim, Hong-Seok; Rijnbeek, Peter;
    BMC medical research methodology. 2020 20(): 44206

  • Longitudinal outcomes of severe asthma: real-world evidence of multidimensional analyses
    Lee, Youngsoo; Park, Youjin; Kim, Chungsoo; Lee, Eunyoung; Lee, Hyun Young; Woo, Seong-Dae; You, Seng Chan; Park, Rae Woong; Park, Hae-Sim;
    The Journal of Allergy and Clinical Immunology: In Practice. 2020 ():

  • Machine-learning model to predict the cause of death using a stacking ensemble method for observational data
    Kim, Chungsoo; You, Seng Chan; Reps, Jenna M; Cheong, Jae Youn; Park, Rae Woong;
    Journal of the American Medical Informatics Association. 2020 ():

  • MARIE: A Context-Aware Term Mapping with String Matching and Embedding Vectors
    Kim, Han Kyul; Choi, Sae Won; Bae, Ye Seul; Choi, Jiin; Kwon, Hyein; Lee, Christine P; Lee, Hae-Young; Ko, Taehoon;
    Applied Sciences. 2020 10(21): 7831

  • Mo1921 COMPARATIVE RISK OF CLOSTRIDIUM DIFFICILE INFECTION BETWEEN PROTON PUMP INHIBITORS AND HISTAMINE-2 RECEPTOR ANTAGONISTS: A-15 YEAR HOSPITAL COHORT STUDY USING A COMMON DATA MODEL
    Seo, Seung In; You, Seng Chan; Park, Chan Hyuk; Kim, Tae Jun; Shin, Woon Geon;
    Gastroenterology. 2020 158(6): S-978

  • Prediction of major depressive disorder following beta-blocker therapy in patients with cardiovascular diseases
    Jin, Suho; Kostka, Kristin; Posada, Jose D; Kim, Yeesuk; Seo, Seung In; Lee, Dong Yun; Shah, Nigam H; Roh, Sungwon; Lim, Young-Hyo; Chae, Sun Geu;
    Journal of personalized medicine. 2020 10(4): 288

  • Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models
    Jeon, Seungho; Seo, Jeongeun; Kim, Sukyoung; Lee, Jeongmoon; Kim, Jong-Ho; Sohn, Jang Wook; Moon, Jongsub; Joo, Hyung Joon;
    Journal of Medical Internet Research. 2020 22(11): e19597

  • Real-World Use of Colonoscopy in an Older Population: A Nationwide Standard Cohort Study Using a Common Data Model
    Kim, Ha Il; Yoon, Jin Young; Kwak, Min Seob; Cha, Jae Myung;
    Digestive Diseases and Sciences. 2020 (): 44204

  • Risk of Mortality in Elderly Coronavirus Disease 2019 Patients With Mental Health Disorders: A Nationwide Retrospective Study in South Korea
    Lee, Dong Yun; Cho, Jaehyeong; You, Seng Chan; Park, Rae Woong; Kim, Chung Soo; Lee, Eun Young; Aizenstein, Howard; Andreescu, Carmen; Karim, Helmet; Hong, Chang Hyung;
    The American Journal of Geriatric Psychiatry. 2020 28(12): 1308-1316

  • Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer
    Ryu, Borim; Yoon, Eunsil; Kim, Seok; Lee, Sejoon; Baek, Hyunyoung; Yi, Soyoung; Na, Hee Young; Kim, Ji-Won; Baek, Rong-Min; Hwang, Hee;
    Journal of medical Internet research. 2020 22(12): e18526

  • 우울증 환자에서 항우울제 단독요법과 항정신병제와 항우울제의 병용요법의 자살위험비교: 정신건강의학 공통 데이터 모델을 활용한 파일럿 연구
    하재호; 이은영; 이동윤; 조용혁; 이혜림; 박범희; 손상준;
    Journal of Korean Neuropsychiatric Association. 2020 59(3): 243-249

  • Automatic trial eligibility surveillance based on unstructured clinical data
    Meystre, Stéphane M; Heider, Paul M; Kim, Youngjun; Aruch, Daniel B; Britten, Carolyn D;
    International journal of medical informatics. 2019 129(): 13-19

  • Genomic Common Data Model for Biomedical Data in Clinical Practice.
    Shin, Seo Jeong; You, Seng Chan; Roh, Jin; Park, Yu Rang; Park, Rae Woong;
    Studies in health technology and informatics. 2019 264(): 1843-1844

  • Genomic common data model for seamless interoperation of biomedical data in clinical practice: retrospective study
    Shin, Seo Jeong; You, Seng Chan; Park, Yu Rang; Roh, Jin; Kim, Jang-Hee; Haam, Seokjin; Reich, Christian G; Blacketer, Clair; Son, Dae-Soon; Oh, Seungbin;
    Journal of medical Internet research. 2019 21(3): e13249

  • 공통 데이터 모델과 분산연구망: 오딧세이 컨소시엄 (Observational
    박래웅;
    대한내과학회지. 2019 94(4):

  • Applying a common data model to Asian databases for multinational pharmacoepidemiologic studies: opportunities and challenges
    Lai, Edward Chia-Cheng; Ryan, Patrick; Zhang, Yinghong; Schuemie, Martijn; Hardy, N Chantelle; Kamijima, Yukari; Kimura, Shinya; Kubota, Kiyoshi; Man, Kenneth KC; Cho, Soo Yeon;
    Clinical epidemiology. 2018 10(): 875

  • Association of hemoglobin A1c levels with use of sulfonylureas, dipeptidyl peptidase 4 inhibitors, and thiazolidinediones in patients with type 2 diabetes treated with metformin: analysis from the observational health data sciences and informatics initiative
    Vashisht, Rohit; Jung, Kenneth; Schuler, Alejandro; Banda, Juan M; Park, Rae Woong; Jin, Sanghyung; Li, Li; Dudley, Joel T; Johnson, Kipp W; Shervey, Mark M;
    JAMA network open. 2018 1(4): e181755-e181755

  • Data discovery with DATS: exemplar adoptions and lessons learned
    Gonzalez-Beltran, Alejandra N; Campbell, John; Dunn, Patrick; Guijarro, Diana; Ionescu, Sanda; Kim, Hyeoneui; Lyle, Jared; Wiser, Jeffrey; Sansone, Susanna-Assunta; Rocca-Serra, Philippe;
    Journal of the American Medical Informatics Association. 2018 25(1): 13-16

  • Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals
    Jeong, Eugene; Park, Namgi; Choi, Young; Park, Rae Woong; Yoon, Dukyong;
    PloS one. 2018 13(11): e0207749

  • A Framework (SOCRATex) for Hierarchical Annotation of Unstructured Electronic Health Records and Integration Into a Standardized Medical Database: Development and Usability Study
    Park, Jimyung; You, Seng Chan; Jeong, Eugene; Weng, Chunhua; Park, Dongsu; Roh, Jin; Lee, Dong Yun; Cheong, Jae Youn; Choi, Jin Wook; Kang, Mira;
    JMIR Medical Informatics. 2021 9(3): e23983

  • A Knowledge Base of Clinical Trial Eligibility Criteria
    Liu, Hao; Chi, Yuan; Butler, Alex; Sun, Yingcheng; Weng, Chunhua;
    Journal of Biomedical Informatics. 2021 (): 103771

  • An empirical characterization of fair machine learning for clinical risk prediction
    Pfohl, Stephen R; Foryciarz, Agata; Shah, Nigam H;
    Journal of biomedical informatics. 2021 113(): 103621

  • An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations
    Mun, Yongseok; Kim, Jooyoung; Noh, Kyoung Jin; Lee, Soochahn; Kim, Seok; Yi, Soyoung; Park, Kyu Hyung; Yoo, Sooyoung; Chang, Dong Jin; Park, Sang Jun;
    BMC Medical Informatics and Decision Making. 2021 21(1): 44205

  • Association of serum lipid parameters with the SCORAD index and onset of atopic dermatitis in children
    Kim, Ju Hee; Lee, Seung Won; Yon, Dong Keon; Ha, Eun Kyo; Jee, Hye Mi; Sung, Myongsoon; Sim, Hyeon Jeong; Yoon, Jung Won; Choi, Sun‐Hee; Shin, Youn Ho;
    Pediatric Allergy and Immunology. 2021 32(2): 322-330

  • At baseline patients treated with esketamine have higher burden of disease than other patients with treatment resistant depression: Learnings from a population based study
    Cepeda, M Soledad; Kern, David M; Canuso, Carla M;
    Depression and anxiety. 2021 ():

  • Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study
    Jeon, Hokyun; You, Seng Chan; Kang, Seok Yun; Seo, Seung In; Warner, Jeremy L; Belenkaya, Rimma; Park, Rae Woong;
    JMIR medical informatics. 2021 9(4): e25035

  • Clinical profile at diagnosis with youth‐onset type 1 and type 2 diabetes in two pediatric diabetes registries: SEARCH (United States) and YDR (India)
    Hockett, Christine W; Praveen, Pradeep A; Ong, Toan C; Amutha, Anandakumar; Isom, Scott P; Jensen, Elizabeth T; D'Agostino Jr, Ralph B; Hamman, Richard F; Mayer‐Davis, Elizabeth J; Lawrence, Jean M;
    Pediatric diabetes. 2021 22(1): 22-30

  • COVID-19 International Collaborative Research by the Health Insurance Review and Assessment Service Using Its Nationwide Real-world Data: Database, Outcomes, and Implications
    Rho, Yeunsook; Son, Yejin; Lee, Yu Jin; Kim, Ji Woo; Lee, Hye Jin; You, Seng Chan; Park, Rae Woong; Lee, Jin Yong;
    Journal of Preventive Medicine and Public Health. 2021 54(1): 44424

  • Dermatologic Research Potential of the Observational Health Data Sciences and Informatics (OHDSI) Network
    Sivesind, Torunn Elise; Runion, Taylor; Branda, Megan; Schilling, Lisa M; Dellavalle, Robert P;
    Dermatology. 2021 (): 44205

  • Effect of renin-angiotensin-aldosterone system inhibitors on Covid-19 patients in Korea
    Park, Jungchan; Lee, Seung-Hwa; You, Seng Chan; Kim, Jinseob; Yang, Kwangmo;
    PloS one. 2021 16(3): e0248058

  • Estimation of sodium‐glucose cotransporter 2 inhibitor–related genital and urinary tract infections via electronic medical record–based common data model
    Ko, SooJeong; Kim, HyungMin; Shinn, Jiwon; Byeon, Sun‐ju; Choi, Jeong‐Hee; Kim, Hun‐Sung;
    Journal of Clinical Pharmacy and Therapeutics. 2021 ():

  • Evaluating the Impact of Covariate Lookback Times on Performance of Patient-Level Prediction Models
    Hardin, Jill; Reps, Jenna M;
    . 2021 ():

  • Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study
    Reps, Jenna M; Kim, Chungsoo; Williams, Ross D; Markus, Aniek F; Yang, Cynthia; Duarte-Salles, Talita; Falconer, Thomas; Jonnagaddala, Jitendra; Williams, Andrew; Fernández-Bertolín, Sergio;
    JMIR Medical Informatics. 2021 9(4): e21547

  • Improving prediction for medical institution with limited patient data: Leveraging hospital-specific data based on multicenter collaborative research network
    Li, Jin; Tian, Yu; Li, Runze; Zhou, Tianshu; Li, Jun; Ding, Kefeng; Li, Jingsong;
    Artificial Intelligence in Medicine. 2021 113(): 102024

  • Incidence and management patterns of alcohol-related liver disease in Korea: a nationwide standard cohort study
    Kim, Ha Il; Park, Seo Young; Shin, Hyun Phil;
    Scientific reports. 2021 11(1): 44207

  • Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcomes Partnership Vocabulary
    Seong, Yeonchan; You, Seng Chan; Ostropolets, Anna; Rho, Yeunsook; Park, Jimyung; Cho, Jaehyeong; Dymshyts, Dmitry; Reich, Christian G; Heo, Yunjung; Park, Rae Woong;
    Healthcare Informatics Research. 2021 27(1): 29-38

  • Mapping Food Allergy Data to a Standard Data Model
    Wlodarski, Mark; Gupta, Ruchi; Bilaver, Lucy; Sehgal, Shruti; Starren, Justin; Gurley, Michael; Wehbe, Firas;
    Journal of Allergy and Clinical Immunology. 2021 147(2): AB118

  • Metformin Is Associated with a Lower Risk of Atrial Fibrillation and Ventricular Arrhythmias Compared to Sulfonylureas: An Observational Study
    Ostropolets, Anna; Elias, Pierre A; Reyes, Michael V; Wan, Elaine Y; Pajvani, Utpal B; Hripcsak, George; Morrow, John P;
    Circulation: Arrhythmia and Electrophysiology. 2021 ():

  • Non-steroidal anti-inflammatory agent use may not be associated with mortality of coronavirus disease 19
    Park, Jungchan; Lee, Seung-Hwa; You, Seng Chan; Kim, Jinseob; Yang, Kwangmo;
    Scientific Reports. 2021 11(1): 44203

  • Patient Cohort Identification on Time Series Data Using the OMOP Common Data Model
    Maier, Christian; Kapsner, Lorenz A; Mate, Sebastian; Prokosch, Hans-Ulrich; Kraus, Stefan;
    Applied Clinical Informatics. 2021 12(1): 057-064

  • Prediction of Drug-Induced Long QT Syndrome Using Machine Learning Applied to Harmonized Electronic Health Record Data
    Simon, Steven T; Mandair, Divneet; Tiwari, Premanand; Rosenberg, Michael A;
    Journal of Cardiovascular Pharmacology and Therapeutics. 2021 (): 1074248421995340

  • Real‐world reproducibility study characterizing patients newly diagnosed with multiple myeloma using Clinical Practice Research Datalink, a UK‐based electronic health records database
    Seesaghur, Anouchka; Petruski‐Ivleva, Natalia; Banks, Victoria; Wang, Jocelyn Ruoyi; Mattox, Pattra; Hoeben, Edwin; Maskell, Joe; Neasham, David; Reynolds, Shannon L; Kafatos, George;
    Pharmacoepidemiology and drug safety. 2021 30(2): 248-256

  • The COVID-19 Trial Finder
    Sun, Yingcheng; Butler, Alex; Lin, Fengyang; Liu, Hao; Stewart, Latoya A; Kim, Jae Hyun; Idnay, Betina Ross S; Ge, Qingyin; Wei, Xinyi; Liu, Cong;
    Journal of the American Medical Informatics Association. 2021 28(3): 616-621

  • The Information System for Research in Primary Care (SIDIAP)
    Duarte-Salles, Talita; Aragón, María; Bolíbar, Bonaventura;
    Databases for Pharmacoepidemiological Research. 2021 (): 189-198

  • The National COVID Cohort Collaborative (N3C): rationale, design, infrastructure, and deployment
    Haendel, Melissa A; Chute, Christopher G; Bennett, Tellen D; Eichmann, David A; Guinney, Justin; Kibbe, Warren A; Payne, Philip RO; Pfaff, Emily R; Robinson, Peter N; Saltz, Joel H;
    Journal of the American Medical Informatics Association. 2021 28(3): 427-443

  • The natural history of symptomatic COVID-19 during the first wave in Catalonia
    Burn, Edward; Tebé, Cristian; Fernandez-Bertolin, Sergio; Aragon, Maria; Recalde, Martina; Roel, Elena; Prats-Uribe, Albert; Prieto-Alhambra, Daniel; Duarte-Salles, Talita;
    Nature communications. 2021 12(1): 44208

  • Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials
    Kim, Jae Hyun; Ta, Casey N; Liu, Cong; Sung, Cynthia; Butler, Alex M; Stewart, Latoya A; Ena, Lyudmila; Rogers, James R; Lee, Junghwan; Ostropolets, Anna;
    Journal of the American Medical Informatics Association. 2021 28(1): 14-22

  • Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure
    Papez, Vaclav; Moinat, Maxim; Payralbe, Stefan; Asselbergs, Folkert W; Lumbers, R Thomas; Hemingway, Harry; Dobson, Richard; Denaxas, Spiros;
    JAMIA Open. 2021 ():

  • Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership's Common Data Model: a pilot feasibility study
    Kim, Jeong-Whun; Kim, Seok; Ryu, Borim; Song, Wongeun; Lee, Ho-Young; Yoo, Sooyoung;
    Scientific reports. 2021 11(1): 44206

  • Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS
    Prieto-Alhambra, Daniel; Kostka, Kristin; Duarte-Salles, Talita; Prats-Uribe, Albert; Sena, Anthony; Pistillo, Andrea; Khalid, Sara; Lai, Lana; Golozar, Asieh; Alshammari, Thamir M;
    Research Square. 2021 (): rs. 3. rs-279400

  • Analysis of antiseizure drug‐related adverse reactions from the electronic health record using the common data model
    Choi, Sun Ah; Kim, Hunmin; Kim, Seok; Yoo, Sooyoung; Yi, Soyoung; Jeon, Yonghoon; Hwang, Hee; Kim, Ki Joong;
    Epilepsia. 2020 61(4): 610-616

  • Application of a Common Data Model (CDM) to rank the paediatric user and prescription prevalence of 15 different drug classes in South Korea, Hong Kong, Taiwan, Japan and Australia: an observational, descriptive study
    Brauer, Ruth; Wong, Ian Chi Kei; Man, Kenneth KC; Pratt, Nicole L; Park, Rae Woong; Cho, Soo-Yeon; Li, Yu-Chuan Jack; Iqbal, Usman; Nguyen, Phung-Anh Alex; Schuemie, Martijn;
    BMJ open. 2020 10(1): e032426

  • Application of Epidemiological Geographic Information System: An Open-Source Spatial Analysis Tool Based on the OMOP Common Data Model
    Cho, Jaehyeong; You, Seng Chan; Lee, Seongwon; Park, DongSu; Park, Bumhee; Hripcsak, George; Park, Rae Woong;
    International journal of environmental research and public health. 2020 17(21): 7824

  • Application of Healthcare ‘Big Data’in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN)
    Ilomäki, Jenni; Bell, J Simon; Chan, Adrienne YL; Tolppanen, Anna-Maija; Luo, Hao; Wei, Li; Lai, Edward Chia-Cheng; Shin, Ju-Young; De Paoli, Giorgia; Pajouheshnia, Romin;
    CNS drugs. 2020 34(9): 897-913

  • Assessment of a machine learning model applied to harmonized electronic health record data for the prediction of incident atrial fibrillation
    Tiwari, Premanand; Colborn, Kathryn L; Smith, Derek E; Xing, Fuyong; Ghosh, Debashis; Rosenberg, Michael A;
    JAMA network open. 2020 3(1): e1919396-e1919396

  • Association between use of hydrochlorothiazide and nonmelanoma skin cancer: Common data model cohort study in Asian population
    Lee, Seung Min; Kim, Kwangsoo; Yoon, Jihoon; Park, Sue K; Moon, Sungji; Lee, Sang Eun; Oh, JiSeon; Yoo, Sooyoung; Kim, Kwang-Il; Yoon, Hyung-Jin;
    Journal of clinical medicine. 2020 9(9): 2910

  • Blockchain-authenticated sharing of genomic and clinical outcomes data of patients with cancer: a prospective cohort study
    Glicksberg, Benjamin Scott; Burns, Shohei; Currie, Rob; Griffin, Ann; Wang, Zhen Jane; Haussler, David; Goldstein, Theodore; Collisson, Eric;
    Journal of medical Internet research. 2020 22(3): e16810

  • Can We Rely on Results From IQVIA Medical Research Data UK Converted to the Observational Medical Outcome Partnership Common Data Model? A Validation Study Based on Prescribing Codeine in Children
    Candore, Gianmario; Hedenmalm, Karin; Slattery, Jim; Cave, Alison; Kurz, Xavier; Arlett, Peter;
    Clinical Pharmacology & Therapeutics. 2020 107(4): 915-925

  • Channeling Bias in the Analysis of Risk of Myocardial Infarction, Stroke, Gastrointestinal Bleeding, and Acute Renal Failure with the Use of Paracetamol Compared with Ibuprofen
    Weinstein, Rachel B; Ryan, Patrick B; Berlin, Jesse A; Schuemie, Martijn J; Swerdel, Joel; Fife, Daniel;
    Drug safety. 2020 43(): 927-942

  • Characterization of Anti-seizure Medication Treatment Pathways in Pediatric Epilepsy Using the Electronic Health Record-Based Common Data Model
    Kim, Hunmin; Yoo, Sooyoung; Jeon, Yonghoon; Yi, Soyoung; Kim, Seok; Choi, Sun Ah; Hwang, Hee; Kim, Ki Joong;
    Frontiers in Neurology. 2020 11(): 409

  • Chia, a large annotated corpus of clinical trial eligibility criteria
    Kury, Fabrício; Butler, Alex; Yuan, Chi; Fu, Li-heng; Sun, Yingcheng; Liu, Hao; Sim, Ida; Carini, Simona; Weng, Chunhua;
    Scientific data. 2020 7(1): 44207

  • Common causes and characteristics of adverse drug reactions in older adults: a retrospective study
    Woo, Seong-Dae; Yoon, Jiwon; Doo, Go-Eun; Park, Youjin; Lee, Youngsoo; Lee, So-Hee; Lee, Young-Hee; Ye, Young-Min;
    BMC Pharmacology and Toxicology. 2020 21(1): 44205

  • Common data model-based real-world data for practical clinical practice guidelines: clinical pharmacology perspectives
    Jeon, Yoomin; Choi, Yoona; Kim, Esther Hehsun; Oh, SeonYeong; Lee, Howard;
    Translational and Clinical Pharmacology. 2020 28(2): 67

  • Common Problems, Common Data Model Solutions: Evidence Generation for Health Technology Assessment
    Kent, Seamus; Burn, Edward; Dawoud, Dalia; Jonsson, Pall; Østby, Jens Torup; Hughes, Nigel; Rijnbeek, Peter; Bouvy, Jacoline C;
    PharmacoEconomics. 2020 (): 44207

  • Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods
    Thangaraj, Phyllis M; Kummer, Benjamin R; Lorberbaum, Tal; Elkind, Mitchell SV; Tatonetti, Nicholas P;
    BioData mining. 2020 13(1): 44210

  • Comparative risk of Clostridium difficile infection between proton pump inhibitors and histamine‐2 receptor antagonists: A 15‐year hospital cohort study using a common data model
    Seo, Seung In; You, Seng Chan; Park, Chan Hyuk; Kim, Tae Joon; Ko, You Sang; Kim, Yerim; Yoo, Jong Jin; Kim, Jinseob; Shin, Woon Geon;
    Journal of gastroenterology and hepatology. 2020 35(8): 1325-1330

  • Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis
    Yeesuk, Kim; Yuxi, Tian; Jianxiao, Yang; Vojtech, Huser; Peng, Jin; Lambert, Christophe G; Hojun, Park; Chan, You Seng; Park, Rae Woong; Rijnbeek, Peter R;
    Scientific Reports (Nature Publisher Group). 2020 10(1):

  • Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis
    Kim, Yeesuk; Tian, Yuxi; Yang, Jianxiao; Huser, Vojtech; Jin, Peng; Lambert, Christophe G; Park, Hojun; You, Seng Chan; Park, Rae Woong; Rijnbeek, Peter R;
    Scientific reports. 2020 10(1): 44206

  • Comparison of first-line dual combination treatments in hypertension: real-world evidence from multinational heterogeneous cohorts
    You, Seng Chan; Jung, Sungjae; Swerdel, Joel N; Ryan, Patrick B; Schuemie, Martijn J; Suchard, Marc A; Lee, Seongwon; Cho, Jaehyeong; Hripcsak, George; Park, Rae Woong;
    Korean circulation journal. 2020 50(1): 52

  • Construction of Artificial Intelligence Training Platform for Multi-Center Clinical Research
    Lee, Chung-Sub; Kim, Ji-Eon; No, Si-Hyeong; Kim, Tae-Hoon; Yoon, Kwon-Ha; Jeong, Chang-Won;
    KIPS Transactions on Computer and Communication Systems. 2020 9(10): 239-246

  • Content Coverage Evaluation of the OMOP Vocabulary on the Transplant Domain Focusing on Concepts Relevant for Kidney Transplant Outcomes Analysis
    Cho, Sylvia; Sin, Margaret; Tsapepas, Demetra; Dale, Leigh-Anne; Husain, Syed A; Mohan, Sumit; Natarajan, Karthik;
    Applied clinical informatics. 2020 11(4): 650-658

  • Converting clinical document architecture documents to the common data model for incorporating health information exchange data in observational health studies: CDA to CDM
    Ji, Hyerim; Kim, Seok; Yi, Soyoung; Hwang, Hee; Kim, Jeong-Whun; Yoo, Sooyoung;
    Journal of Biomedical Informatics. 2020 107(): 103459

  • Data Integration into OMOP CDM for Heterogeneous Clinical Data Collections via HL7 FHIR Bundles and XSLT.
    Fischer, Patrick; Stöhr, Mark R; Gall, Henning; Michel-Backofen, Achim; Majeed, Raphael W;
    Studies in health technology and informatics. 2020 270(): 138-142

  • Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records
    Xu, Jie; Wang, Fei; Xu, Zhenxing; Adekkanattu, Prakash; Brandt, Pascal; Jiang, Guoqian; Kiefer, Richard C; Luo, Yuan; Mao, Chengsheng; Pacheco, Jennifer A;
    Learning Health Systems. 2020 4(4): e10246

  • Design for a Modular Clinical Trial Recruitment Support System Based on FHIR and OMOP.
    Reinecke, Ines; Gulden, Christian; Kümmel, Michéle; Nassirian, Azadeh; Blasini, Romina; Sedlmayr, Martin;
    Studies in health technology and informatics. 2020 270(): 158-162

  • Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network
    Kashyap, Mehr; Seneviratne, Martin; Banda, Juan M; Falconer, Thomas; Ryu, Borim; Yoo, Sooyoung; Hripcsak, George; Shah, Nigam H;
    Journal of the American Medical Informatics Association. 2020 27(6): 877-883

  • Development of Machine Learning Model to Predict the 5-Year Risk of Starting Biologic Agents in Patients with Inflammatory Bowel Disease (IBD): K-CDM Network Study
    Choi, Youn I; Park, Sung Jin; Chung, Jun-Won; Kim, Kyoung Oh; Cho, Jae Hee; Kim, Young Jae; Lee, Kang Yoon; Kim, Kwang Gi; Park, Dong Kyun; Kim, Yoon Jae;
    Journal of Clinical Medicine. 2020 9(11): 3427

  • Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study
    Choi, Youn I; Kim, Yoon Jae; Chung, Jun-Won; Kim, Kyoung Oh; Kim, Hakki; Park, Rae Woong; Park, Dong Kyun;
    JMIR medical informatics. 2020 8(4): e15124

  • EHR-Independent Predictive Decision Support Architecture Based on OMOP
    Unberath, Philipp; Prokosch, Hans Ulrich; Gründner, Julian; Erpenbeck, Marcel; Maier, Christian; Christoph, Jan;
    Applied Clinical Informatics. 2020 11(3): 399

  • Empirical assessment of case‐based methods for drug safety alert identification in the French National Healthcare System database (SNDS): Methodology of the ALCAPONE project
    Thurin, Nicolas H; Lassalle, Régis; Schuemie, Martijn; Pénichon, Marine; Gagne, Joshua J; Rassen, Jeremy A; Benichou, Jacques; Weill, Alain; Blin, Patrick; Moore, Nicholas;
    Pharmacoepidemiology and drug safety. 2020 29(9): 993-1000

  • Establishment and evaluation of a multicenter collaborative prediction model construction framework supporting model generalization and continuous improvement: A pilot study
    Tian, Yu; Chen, Weiguo; Zhou, Tianshu; Li, Jun; Ding, Kefeng; Li, Jingsong;
    International Journal of Medical Informatics. 2020 141(): 104173

  • Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation
    Reps, Jenna M; Williams, Ross D; You, Seng Chan; Falconer, Thomas; Minty, Evan; Callahan, Alison; Ryan, Patrick B; Park, Rae Woong; Lim, Hong-Seok; Rijnbeek, Peter;
    BMC medical research methodology. 2020 20(): 44206

  • Ferramentas OHDSI e a medicina de precisão: estudos PLE e PLP
    Abrahão, Maria Tereza Fernandes; Madril, Pablo Jorge;
    Sociedade Brasileira de Computação. 2020 ():

  • Identification of antiviral antihistamines for COVID-19 repurposing
    Reznikov, Leah R; Norris, Michael H; Vashisht, Rohit; Bluhm, Andrew P; Li, Danmeng; Liao, Yan-Shin J; Brown, Ashley; Butte, Atul J; Ostrov, David A;
    Biochemical and biophysical research communications. 2020 ():

  • Incidence, prevalence and prescription patterns of antipsychotic medications use in Asia and US: A cross-nation comparison with common data model
    Su, Chien-Chou; Lai, Edward Chia-Cheng; Yang, Yea-Huei Kao; Man, Kenneth KC; Kubota, Kiyoshi; Stang, Paul; Schuemie, Martijn; Ryan, Patrick; Hardy, Chantelle; Zhang, Yinghong;
    Journal of Psychiatric Research. 2020 131(): 77-84

  • Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction
    Ljubic, Branimir; Roychoudhury, Shoumik; Cao, Xi Hang; Pavlovski, Martin; Obradovic, Stefan; Nair, Richard; Glass, Lucas; Obradovic, Zoran;
    Computer methods and programs in biomedicine. 2020 197(): 105765

  • Longitudinal outcomes of severe asthma: real-world evidence of multidimensional analyses
    Lee, Youngsoo; Park, Youjin; Kim, Chungsoo; Lee, Eunyoung; Lee, Hyun Young; Woo, Seong-Dae; You, Seng Chan; Park, Rae Woong; Park, Hae-Sim;
    The Journal of Allergy and Clinical Immunology: In Practice. 2020 ():

  • Machine-learning model to predict the cause of death using a stacking ensemble method for observational data
    Kim, Chungsoo; You, Seng Chan; Reps, Jenna M; Cheong, Jae Youn; Park, Rae Woong;
    Journal of the American Medical Informatics Association. 2020 ():

  • MARIE: A Context-Aware Term Mapping with String Matching and Embedding Vectors
    Kim, Han Kyul; Choi, Sae Won; Bae, Ye Seul; Choi, Jiin; Kwon, Hyein; Lee, Christine P; Lee, Hae-Young; Ko, Taehoon;
    Applied Sciences. 2020 10(21): 7831

  • Mo1921 COMPARATIVE RISK OF CLOSTRIDIUM DIFFICILE INFECTION BETWEEN PROTON PUMP INHIBITORS AND HISTAMINE-2 RECEPTOR ANTAGONISTS: A-15 YEAR HOSPITAL COHORT STUDY USING A COMMON DATA MODEL
    Seo, Seung In; You, Seng Chan; Park, Chan Hyuk; Kim, Tae Jun; Shin, Woon Geon;
    Gastroenterology. 2020 158(6): S-978

  • PCV88 THE APPLICATION OF BAYESIAN HETEROGENEITY TREATMENT EFFECT ANALYSIS FOR ASSESSING VARIATION AND RELIABILITY OF CONGESTIVE HEART FAILURE OUTCOMES IN A LINKED EMR-CLAIMS DATASET
    Rusli, E; Galaznik, A; Berger, M;
    Value in Health. 2020 23(): S107

  • Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction
    Bergquist, Timothy; Yan, Yao; Schaffter, Thomas; Yu, Thomas; Pejaver, Vikas; Hammarlund, Noah; Prosser, Justin; Guinney, Justin; Mooney, Sean;
    Journal of the American Medical Informatics Association. 2020 27(9): 1393-1400

  • PP385 Using Common Data Models And Data Networks For Evidence Generation In Health Technology Assessment
    Kent, Seamus; Bouvy, Jacoline;
    International Journal of Technology Assessment in Health Care. 2020 36(S1): 32-32

  • Prediction of major depressive disorder following beta-blocker therapy in patients with cardiovascular diseases
    Jin, Suho; Kostka, Kristin; Posada, Jose D; Kim, Yeesuk; Seo, Seung In; Lee, Dong Yun; Shah, Nigam H; Roh, Sungwon; Lim, Young-Hyo; Chae, Sun Geu;
    Journal of personalized medicine. 2020 10(4): 288

  • Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models
    Jeon, Seungho; Seo, Jeongeun; Kim, Sukyoung; Lee, Jeongmoon; Kim, Jong-Ho; Sohn, Jang Wook; Moon, Jongsub; Joo, Hyung Joon;
    Journal of Medical Internet Research. 2020 22(11): e19597

  • Prostate Cancer Central Nervous System Metastasis in a Contemporary Cohort
    Boxley, Peter J; Smith, Derek E; Gao, Dexiang; Kessler, Elizabeth R; Echalier, Benjamin; Bernard, Brandon; Ormond, D Ryan; Lam, Elaine T; Kavanagh, Brian D; Flaig, Thomas W;
    Clinical Genitourinary Cancer. 2020 ():

  • Real‐world data in Saudi Arabia: Current situation and challenges for regulatory decision‐making
    Alnofal, Fatemah A; Alrwisan, Adel A; Alshammari, Thamir M;
    Pharmacoepidemiology and Drug Safety. 2020 29(10): 1303-1306

  • Real-World Use of Colonoscopy in an Older Population: A Nationwide Standard Cohort Study Using a Common Data Model
    Kim, Ha Il; Yoon, Jin Young; Kwak, Min Seob; Cha, Jae Myung;
    Digestive Diseases and Sciences. 2020 (): 44204

  • Risk of Mortality in Elderly Coronavirus Disease 2019 Patients With Mental Health Disorders: A Nationwide Retrospective Study in South Korea
    Lee, Dong Yun; Cho, Jaehyeong; You, Seng Chan; Park, Rae Woong; Kim, Chung Soo; Lee, Eun Young; Aizenstein, Howard; Andreescu, Carmen; Karim, Helmet; Hong, Chang Hyung;
    The American Journal of Geriatric Psychiatry. 2020 28(12): 1308-1316

  • The European medical information framework: A novel ecosystem for sharing healthcare data across Europe
    Lovestone, Simon; EMIF Consortium;
    Learning health systems. 2020 4(2): e10214

  • The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR): Unique 1.4 M patient Electronic Health Record cohort
    Fishbein, Howard A; Birch, Rebecca Jeffries; Mathew, Sunitha M; Sawyer, Holly L; Pulver, Gerald; Poling, Jennifer; Kaelber, David; Mardon, Russell; Johnson, Maurice C; Pace, Wilson;
    Healthcare. 2020 8(4): 100458

  • Toolkit to compute time-based Elixhauser comorbidity indices and extension to common data models
    Syed, Shorabuddin; Baghal, Ahmad; Prior, Fred; Zozus, Meredith; Al-Shukri, Shaymaa; Syeda, Hafsa Bareen; Garza, Maryam; Begum, Salma; Gates, Kim; Syed, Mahanazuddin;
    Healthcare informatics research. 2020 26(3): 193-200

  • Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language
    Brandt, Pascal S; Kiefer, Richard C; Pacheco, Jennifer A; Adekkanattu, Prakash; Sholle, Evan T; Ahmad, Faraz S; Xu, Jie; Xu, Zhenxing; Ancker, Jessica S; Wang, Fei;
    Learning Health Systems. 2020 4(4): e10233

  • Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer
    Ryu, Borim; Yoon, Eunsil; Kim, Seok; Lee, Sejoon; Baek, Hyunyoung; Yi, Soyoung; Na, Hee Young; Kim, Ji-Won; Baek, Rong-Min; Hwang, Hee;
    Journal of medical Internet research. 2020 22(12): e18526

  • Transforming French Electronic Health Records into the Observational Medical Outcome Partnership's Common Data Model: A Feasibility Study.
    Lamer, Antoine; Depas, Nicolas; Doutreligne, Matthieu; Parrot, Adrien; Verloop, David; Defebvre, Marguerite-Marie; Ficheur, Grégoire; Chazard, Emmanuel; Beuscart, Jean-Baptiste;
    Applied clinical informatics. 2020 11(1): 13-22

  • Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations
    Averitt, Amelia J; Weng, Chunhua; Ryan, Patrick; Perotte, Adler;
    NPJ digital medicine. 2020 3(1): 44206

  • Treatment Patterns for Chronic Comorbid Conditions in Patients With Cancer Using a Large-Scale Observational Data Network
    Chen, Ruijun; Ryan, Patrick; Natarajan, Karthik; Falconer, Thomas; Crew, Katherine D; Reich, Christian G; Vashisht, Rohit; Randhawa, Gurvaneet; Shah, Nigam H; Hripcsak, George;
    JCO clinical cancer informatics. 2020 4(): 171-183

  • Vascular and metabolic risk factor differences prior to dementia diagnosis: a multidatabase case–control study using European electronic health records
    Perera, Gayan; Rijnbeek, PR; Alexander, Myriam; Ansell, David; Avillach, Paul; Duarte-Salles, Talita; Gordon, Mark Forrest; Lapi, Francesco; Mayer, Miguel Angel; Pasqua, Alessandro;
    BMJ open. 2020 10(11): e038753

  • Wisdom of the CROUD: Development and validation of a patient-level prediction model for opioid use disorder using population-level claims data
    Reps, Jenna Marie; Cepeda, M Soledad; Ryan, Patrick B;
    PloS one. 2020 15(2): e0228632

  • 우울증 환자에서 항우울제 단독요법과 항정신병제와 항우울제의 병용요법의 자살위험비교: 정신건강의학 공통 데이터 모델을 활용한 파일럿 연구
    하재호; 이은영; 이동윤; 조용혁; 이혜림; 박범희; 손상준;
    Journal of Korean Neuropsychiatric Association. 2020 59(3): 243-249

  • A Data Element-Function Conceptual Model for Data Quality Checks
    Rogers, James R; Callahan, Tiffany J; Kang, Tian; Bauck, Alan; Khare, Ritu; Brown, Jeffrey S; Kahn, Michael G; Weng, Chunhua;
    eGEMs. 2019 7(1):

  • ADEpedia-on-OHDSI: A next generation pharmacovigilance signal detection platform using the OHDSI common data model
    Yu, Yue; Ruddy, Kathryn J; Hong, Na; Tsuji, Shintaro; Wen, Andrew; Shah, Nilay D; Jiang, Guoqian;
    Journal of biomedical informatics. 2019 91(): 103119

  • Automatic trial eligibility surveillance based on unstructured clinical data
    Meystre, Stéphane M; Heider, Paul M; Kim, Youngjun; Aruch, Daniel B; Britten, Carolyn D;
    International journal of medical informatics. 2019 129(): 13-19

  • Computational advances in drug safety: Systematic and mapping review of knowledge engineering based approaches
    Natsiavas, Pantelis; Malousi, Andigoni; Bousquet, Cedric; Jaulent, Marie-Christine; Koutkias, Vassilis;
    Frontiers in pharmacology. 2019 10(): 415

  • Correction: KETOS: Clinical decision support and machine learning as a service–A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services
    Gruendner, Julian; Schwachhofer, Thorsten; Sippl, Phillip; Wolf, Nicolas; Erpenbeck, Marcel; Gulden, Christian; Kapsner, Lorenz A; Zierk, Jakob; Mate, Sebastian; Stürzl, Michael;
    Plos one. 2019 14(11): e0225442

  • Criteria2Query: a natural language interface to clinical databases for cohort definition
    Yuan, Chi; Ryan, Patrick B; Ta, Casey; Guo, Yixuan; Li, Ziran; Hardin, Jill; Makadia, Rupa; Jin, Peng; Shang, Ning; Kang, Tian;
    Journal of the American Medical Informatics Association. 2019 26(4): 294-305

  • Data model harmonization for the All Of Us Research Program: Transforming i2b2 data into the OMOP common data model
    Klann, Jeffrey G; Joss, Matthew AH; Embree, Kevin; Murphy, Shawn N;
    PloS one. 2019 14(2): e0212463

  • Désidentification de comptes-rendus hospitaliers dans une base de données OMOP
    Paris, Nicolas; Doutreligne, Matthieu; Parrot, Adrien; Tannier, Xavier;
    TALMED 2019: Symposium satellite francophone sur le traitement automatique des langues dans le domaine biomédical. 2019 ():

  • Development and evaluation of a computable phenotype to identify pediatric patients with leukemia and lymphoma treated with chemotherapy using electronic health record data
    Phillips, Charles A; Razzaghi, Hanieh; Aglio, Taylor; McNeil, Michael J; Salvesen‐Quinn, Mikaela; Sopfe, Jenna; Wilkes, Jennifer J; Forrest, Christopher B; Bailey, L Charles;
    Pediatric blood & cancer. 2019 66(9): e27876

  • Diabetic ketoacidosis in patients with type 2 diabetes treated with sodium glucose co‐transporter 2 inhibitors versus other antihyperglycemic agents: An observational study of four US administrative claims databases
    Wang, Lu; Voss, Erica A; Weaver, James; Hester, Laura; Yuan, Zhong; DeFalco, Frank; Schuemie, Martijn J; Ryan, Patrick B; Sun, Don; Freedman, Amy;
    Pharmacoepidemiology and drug safety. 2019 28(12): 1620-1628

  • DQueST: dynamic questionnaire for search of clinical trials
    Liu, Cong; Yuan, Chi; Butler, Alex M; Carvajal, Richard D; Li, Ziran Ryan; Ta, Casey N; Weng, Chunhua;
    Journal of the American Medical Informatics Association. 2019 26(11): 1333-1343

  • EMIF Catalogue: a collaborative platform for sharing and reusing biomedical data
    Oliveira, José Luís; Trifan, Alina; Silva, Luís A Bastião;
    International journal of medical informatics. 2019 126(): 35-45

  • Fast healthcare interoperability resources (FHIR) as a meta model to integrate common data models: development of a tool and quantitative validation study
    Pfaff, Emily Rose; Champion, James; Bradford, Robert Louis; Clark, Marshall; Xu, Hao; Fecho, Karamarie; Krishnamurthy, Ashok; Cox, Steven; Chute, Christopher G; Taylor, Casey Overby;
    JMIR medical informatics. 2019 7(4): e15199

  • Feasibility of mapping austrian health claims data to the OMOP common data model
    Haberson, Andrea; Rinner, Christoph; Schöberl, Alexander; Gall, Walter;
    Journal of medical systems. 2019 43(10): 44201

  • Finding missed cases of familial hypercholesterolemia in health systems using machine learning
    Banda, Juan M; Sarraju, Ashish; Abbasi, Fahim; Parizo, Justin; Pariani, Mitchel; Ison, Hannah; Briskin, Elinor; Wand, Hannah; Dubois, Sebastien; Jung, Kenneth;
    NPJ digital medicine. 2019 2(1): 44204

  • Frequency of nonaspirin NSAID-relevant coexisting medical conditions in the primary-care setting: a retrospective database review
    Bloom, Leslie; Boyle, Kathleen E; Myers, Andrew E; Blacketer, Claire; Weinstein, Rachel;
    Therapeutics and clinical risk management. 2019 15(): 579

  • Genomic Common Data Model for Biomedical Data in Clinical Practice.
    Shin, Seo Jeong; You, Seng Chan; Roh, Jin; Park, Yu Rang; Park, Rae Woong;
    Studies in health technology and informatics. 2019 264(): 1843-1844

  • Genomic common data model for seamless interoperation of biomedical data in clinical practice: retrospective study
    Shin, Seo Jeong; You, Seng Chan; Park, Yu Rang; Roh, Jin; Kim, Jang-Hee; Haam, Seokjin; Reich, Christian G; Blacketer, Clair; Son, Dae-Soon; Oh, Seungbin;
    Journal of medical Internet research. 2019 21(3): e13249

  • HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model
    Warner, Jeremy L; Dymshyts, Dmitry; Reich, Christian G; Gurley, Michael J; Hochheiser, Harry; Moldwin, Zachary H; Belenkaya, Rimma; Williams, Andrew E; Yang, Peter C;
    Journal of biomedical informatics. 2019 96(): 103239

  • Increasing protected data accessibility for age-related cataract research using a semi-automated honest broker
    Valluripally, Samaikya; Raju, Murugesan; Calyam, Prasad; Lemus, Mauro; Purohit, Soumya; Mosa, Abu; Joshi, Trupti;
    Modeling and Artificial Intelligence in Ophthalmology. 2019 2(3): 115-132

  • Inferring disease severity in rheumatoid arthritis using predictive modeling in administrative claims databases
    Chandran, Urmila; Reps, Jenna; Stang, Paul E; Ryan, Patrick B;
    PloS one. 2019 14(12): e0226255

  • KETOS: Clinical decision support and machine learning as a service–A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services
    Gruendner, Julian; Schwachhofer, Thorsten; Sippl, Phillip; Wolf, Nicolas; Erpenbeck, Marcel; Gulden, Christian; Kapsner, Lorenz A; Zierk, Jakob; Mate, Sebastian; Stürzl, Michael;
    PloS one. 2019 14(10): e0223010

  • Machine learning for phenotyping opioid overdose events
    Badger, Jonathan; LaRose, Eric; Mayer, John; Bashiri, Fereshteh; Page, David; Peissig, Peggy;
    Journal of biomedical informatics. 2019 94(): 103185

  • Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network
    Shang, Ning; Liu, Cong; Rasmussen, Luke V; Ta, Casey N; Caroll, Robert J; Benoit, Barbara; Lingren, Todd; Dikilitas, Ozan; Mentch, Frank D; Carrell, David S;
    Journal of biomedical informatics. 2019 99(): 103293

  • Optimization of electronic medical records for data mining using a common data model
    Kwong, Manlik; Gardner, Heather L; Dieterle, Neil; Rentko, Virginia;
    Topics in companion animal medicine. 2019 37(): 100364

  • PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model
    Glicksberg, Benjamin S; Oskotsky, Boris; Thangaraj, Phyllis M; Giangreco, Nicholas; Badgeley, Marcus A; Johnson, Kipp W; Datta, Debajyoti; Rudrapatna, Vivek A; Rappoport, Nadav; Shervey, Mark M;
    Bioinformatics. 2019 35(21): 4515-4518

  • PCN432 EVALUATION OF MISSING DATA IMPUTATION STRATEGIES IN CLINICAL TRIAL AND EMR DATA USING STANDARDIZED DATA MODELS
    McLean, C; Ransom, J; Galaznik, A;
    Value in Health. 2019 22(): S520

  • PheValuator: development and evaluation of a phenotype algorithm evaluator
    Swerdel, Joel N; Hripcsak, George; Ryan, Patrick B;
    Journal of biomedical informatics. 2019 97(): 103258

  • PND90 REAL WORLD REPLICATION OF CLINICAL TRIAL FINDINGS IN ALZHEIMER'S DISEASE
    Rusli, E; Shilnikova, A; Ahmed, R; Ransom, J; Galaznik, A; Lempernesse, B; Berger, M;
    Value in Health. 2019 22(): S287

  • Predicting future cardiovascular events in patients with peripheral artery disease using electronic health record data
    Ross, Elsie Gyang; Jung, Kenneth; Dudley, Joel T; Li, Li; Leeper, Nicholas J; Shah, Nigam H;
    Circulation: Cardiovascular Quality and Outcomes. 2019 12(3): e004741

  • ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data
    Glicksberg, Benjamin S; Oskotsky, Boris; Giangreco, Nicholas; Thangaraj, Phyllis M; Rudrapatna, Vivek; Datta, Debajyoti; Frazier, Remi; Lee, Nelson; Larsen, Rick; Tatonetti, Nicholas P;
    JAMIA open. 2019 2(1): 44483

  • Standardized Observational Cancer Research Using the OMOP CDM Oncology Module.
    Belenkaya, Rimma; Gurley, Michael; Dymshyts, Dmitry; Araujo, Sonia; Williams, Andrew; Chen, R; Reich, Christian;
    Studies in health technology and informatics. 2019 264(): 1831-1832

  • Standardizing Austrians Claims Data Using the OMOP Common Data Model: A Feasibility Study.
    Haberson, Andrea; Rinner, Christoph; Gall, Walter;
    EFMI-STC. 2019 (): 151-152

  • Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status
    Reps, Jenna M; Rijnbeek, Peter R; Ryan, Patrick B;
    Journal of biomedical informatics. 2019 97(): 103264

  • Test collections for electronic health record-based clinical information retrieval
    Wang, Yanshan; Wen, Andrew; Liu, Sijia; Hersh, William; Bedrick, Steven; Liu, Hongfang;
    JAMIA open. 2019 2(3): 360-368

  • Towards Patient-Driven Phenotyping and Similarity for Precision Medicine
    Callahan, Tiffany J; Bodenreider, Olivier; Kahn, Michael G;
    F1000Research. 2019 8():

  • Using machine learning applied to real-world healthcare data for predictive analytics: an applied example in bariatric surgery
    Johnston, Stephen S; Morton, John M; Kalsekar, Iftekhar; Ammann, Eric M; Hsiao, Chia-Wen; Reps, Jenna;
    Value in Health. 2019 22(5): 580-586

  • 공통 데이터 모델과 분산연구망: 오딧세이 컨소시엄 (Observational
    박래웅;
    대한내과학회지. 2019 94(4):

  • A Clinical Data Warehouse Based on OMOP and i2b2 for Austrian Health Claims Data.
    Rinner, Christoph; Gezgin, Deniz; Wendl, Christopher; Gall, Walter;
    eHealth. 2018 (): 94-99

  • A Methodology to Perform Semi-automatic Distributed EHR Database Queries.
    Fajarda, Olga; Silva, Luís A Bastião; Rijnbeek, Peter R; Van Speybroeck, Michel; Oliveira, José Luís;
    HEALTHINF. 2018 (): 127-134

  • A semantic transformation methodology for the secondary use of observational healthcare data in postmarketing safety studies
    Pacaci, Anil; Gonul, Suat; Sinaci, A Anil; Yuksel, Mustafa; Laleci Erturkmen, Gokce B;
    Frontiers in pharmacology. 2018 9(): 435

  • Analysis of treatment pathways for three chronic diseases using OMOP CDM
    Zhang, Xin; Wang, Li; Miao, Shumei; Xu, Hua; Yin, Yuechuchu; Zhu, Yueshi; Dai, Zuolei; Shan, Tao; Jing, Shenqi; Wang, Jian;
    Journal of medical systems. 2018 42(12): 44208

  • Applying a common data model to Asian databases for multinational pharmacoepidemiologic studies: opportunities and challenges
    Lai, Edward Chia-Cheng; Ryan, Patrick; Zhang, Yinghong; Schuemie, Martijn; Hardy, N Chantelle; Kamijima, Yukari; Kimura, Shinya; Kubota, Kiyoshi; Man, Kenneth KC; Cho, Soo Yeon;
    Clinical epidemiology. 2018 10(): 875

  • Association of hemoglobin A1c levels with use of sulfonylureas, dipeptidyl peptidase 4 inhibitors, and thiazolidinediones in patients with type 2 diabetes treated with metformin: analysis from the observational health data sciences and informatics initiative
    Vashisht, Rohit; Jung, Kenneth; Schuler, Alejandro; Banda, Juan M; Park, Rae Woong; Jin, Sanghyung; Li, Li; Dudley, Joel T; Johnson, Kipp W; Shervey, Mark M;
    JAMA network open. 2018 1(4): e181755-e181755

  • Columbia Open Health Data, clinical concept prevalence and co-occurrence from electronic health records
    Ta, Casey N; Dumontier, Michel; Hripcsak, George; Tatonetti, Nicholas P; Weng, Chunhua;
    Scientific data. 2018 5(1): 44213

  • Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs.
    Liyanage, Harshana; Liaw, Siaw-Teng; Jonnagaddala, Jitendra; Hinton, William; de Lusignan, Simon;
    EFMI-STC. 2018 (): 60-64

  • Curating and integrating user-generated health data from multiple sources to support healthcare analytics
    Kakkanatt, Chris; Benigno, Michael; Jackson, VM; Huang, PL; Ng, Kenney;
    IBM Journal of Research and Development. 2018 62(1): 2: 1-2: 7

  • Data discovery with DATS: exemplar adoptions and lessons learned
    Gonzalez-Beltran, Alejandra N; Campbell, John; Dunn, Patrick; Guijarro, Diana; Ionescu, Sanda; Kim, Hyeoneui; Lyle, Jared; Wiser, Jeffrey; Sansone, Susanna-Assunta; Rocca-Serra, Philippe;
    Journal of the American Medical Informatics Association. 2018 25(1): 13-16

  • Data harmonization and sharing in study cohorts of respiratory diseases
    Sun, YX; Pei, ZC; Zhan, SY;
    Zhonghua liu xing bing xue za zhi= Zhonghua liuxingbingxue zazhi. 2018 39(2): 233-239

  • Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data
    Reps, Jenna M; Schuemie, Martijn J; Suchard, Marc A; Ryan, Patrick B; Rijnbeek, Peter R;
    Journal of the American Medical Informatics Association. 2018 25(8): 969-975

  • Expanding transplant outcomes research opportunities through the use of a common data model
    Cho, Sylvia; Mohan, Sumit; Husain, Syed Ali; Natarajan, Karthik;
    American Journal of Transplantation. 2018 18(6): 1321-1327

  • Finding factors that predict treatment‐resistant depression: Results of a cohort study
    Cepeda, M Soledad; Reps, Jenna; Ryan, Patrick;
    Depression and anxiety. 2018 35(7): 668-673

  • Finding treatment‐resistant depression in real‐world data: How a data‐driven approach compares with expert‐based heuristics
    Cepeda, M Soledad; Reps, Jenna; Fife, Daniel; Blacketer, Clair; Stang, Paul; Ryan, Patrick;
    Depression and anxiety. 2018 35(3): 220-228

  • Honeur (Heamatology Outcomes Network in Europe): A Federated Model to Support Real World Data Research in Hematology
    Bardenheuer, Kristina; Passey, Alun; d'Errico, Maria; Millier, Barbara; Guinard-Azadian, Carine; Aschan, Johan; van Speybroeck, Michel;
    Blood. 2018 132(Supplement 1): 4839-4839

  • Implementation of the OMOP CDM and OHDSI tools in the European Medical Information Framework (EMIF)
    Rijnbeek, PR; Mv, Speybroeck; Tramontan, L;
    Contact: p. rijnbeek@ erasmusmc. nl (accessed 24 FEB 2018). 2018 ():

  • Improving reproducibility by using high-throughput observational studies with empirical calibration
    Schuemie, Martijn J; Ryan, Patrick B; Hripcsak, George; Madigan, David; Suchard, Marc A;
    Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2018 376(2128): 20170356

  • Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals
    Jeong, Eugene; Park, Namgi; Choi, Young; Park, Rae Woong; Yoon, Dukyong;
    PloS one. 2018 13(11): e0207749

  • Methods for examining data quality in healthcare integrated data repositories.
    Huser, Vojtech; Kahn, Michael G; Brown, Jeffrey S; Gouripeddi, Ramkiran;
    PSB. 2018 (): 628-633

  • MIRACUM: medical informatics in research and care in university medicine: a large data sharing network to enhance translational research and medical care
    Prokosch, Hans-Ulrich; Acker, Till; Bernarding, Johannes; Binder, Harald; Boeker, Martin; Boerries, Melanie; Daumke, Philipp; Ganslandt, Thomas; Hesser, Jürgen; Höning, Gunther;
    Methods of information in medicine. 2018 57(Suppl 1): e82

  • Towards implementation of OMOP in a German university hospital consortium
    Maier, C; Lang, L; Storf, H; Vormstein, P; Bieber, R; Bernarding, J; Herrmann, T; Haverkamp, C; Horki, P; Laufer, J;
    Applied clinical informatics. 2018 9(1): 54