Impact of the COVID-19 pandemic on pediatric utilization patterns in claims data (Alan Andryc, Rachel Weinstein, Steven Sacavage, Marsha Tharakan, Rupa Makadia) 

Short-term mortality in patients undergoing colorectal cancer surgery: A prediction study (Karoline Bendix Bräuner,  Mikail Gögenur, Viviane Annabelle Lin, Andreas Weinberger Rosen, Johan Clausen, Eldar Allakhverdiiev, Rasmus Peuliche Vogelsang, Ismail Gögenur)

Prediction of early acute readmission after colorectal cancer surgery using only clinical preoperative variables (Johan Clausen, Andreas Weinberger Rosen, Karoline Bendix Bräuner, Mikail Gögenur, Viviane Annabelle Lin, Eldar Allakhverdiiev, Julie Sparholt Walbech, Ismail Gögenur)

Diagnostic Accuracy of Code-Based Algorithms to Identify Urinary Tract Infection in U.S. Administrative Claims Databases (Stephen P Fortin, Jeroen Geurtsen, Michal Sarnecki, Joachim Doua, Jamie Colasurdo, Joel Swerdel)

Predicting risk of recurrence after surgery for colorectal cancer (Mikail Gögenur, Viviane Lin, Adamantia Tsouchnika, Eldar Allakhverdiiev, Andreas Weinberger Rosen, Karoline Bendix Bräuner, Julie Sparholt Walbech, Ismail Gögenur)

Examination of Characteristics and Treatments in Pediatric and Adult Hidradenitis Suppurativa (Jill Hardin, Rupa Makadia, Emily Brouwer, Shawn Black, Irene Lara-Corrales, Lucia Z Diaz, Joslyn Sciacca Kirby, Cynthia Marie Carver DeKlotz)

Development of a Machine-learning Model to Predict Antibiotic Resistance using Urine Culture and Antibiotic Susceptibility Data (Chungsoo Kim, Sandy Jeong Rhie, Rae Woong Park)

Quantitative analysis on the development of musculoskeletal adverse effects of corticosteroids using common data model (Sun Geu Chae, Sang-Heon Kim, Yoon-Kyoung Sung, Yeesuk Kim)

Predicting complications after surgery for colorectal cancer – Identifying patients at risk (Viviane Lin, Adamantia Tsouchnika, Eldar Allakhverdiiev, Andreas Weinberger Rosen, Mikail Gögenur, Johan Clausen, Karoline Bendix Bräuner; Ismail Gögenur)

Treatment heterogeneity in comparative effectiveness of teriparatide vs bisphosphonates: multi-database cohort study (Alexandros Rekkas, Annika M. Jodicke, David van Klaveren, Daniel Prieto-Alhambra, Peter R. Rijnbeek)

Evaluating Patient Count Vs Hospitalization Risk for Common Clinical Trial Eligibility Criteria: A Case Study for Relapsed/Refractory Lymphoma/Leukemia (James Rogers, Casey N. Ta, Cong Liu, Ali Soroush, Ying Kuen Cheung, George Hripcsak, Chunhua Weng)

Predicting 1- 3-, and 5-year mortality after surgery for colorectal cancer using a Danish quality assurance database (Andreas Weinberger Rosen, Karoline Bendix Bräuner, Mikail Gögenur, Viviane Annabelle Lin, Johan Clausen, Eldar Allakhverdiiev, Adamantia Tsouchnika, Rasmus Peuliche Vogelsang, Ismail Gögenur)

Characterization of Antiepileptic Drug Treatment Pathways with the Common Data Model: Pilot Results from Columbia University Irving Medical Center (Matthew Spotnitz, Anna Ostropolets, Karthik Natarajan, Victor G. Castano, Genna J. Waldman, Michael Argenziano, Ruth Ottman, George Hripcsak, Hyunmi Choi, Brett E. Youngerman)

From type 2 diabetes diagnosis to developing complications: a multi-country approach to understanding patients journey (David Vizcaya, George Argyriou, Jingsong Cui, Sarah Seager, Henry Morgan-Stewart, Christian Reich)

Proof-of-concept model targeting patient-level prediction of 90-day mortality after colorectal cancer surgery kickstarts OHDSI journey (Rasmus Peuliche Vogelsang, Andreas Weinberger Rosen, Eldar Allakhverdiiev, Ismail Gögenur)

Lightning Talk: Detection of prone positioning in hospitalized COVID patients using NLP (Patrick R. Alba, Jose Posada, Jason Weatherald, Kristine Lynch, Annie Bowles, Nigam Shah, Olga V. Patterson, Scott L. DuVall, Evan Minty)

Lightning Talk: From metrics to intelligence using the OMOP CDM and the Patient-Level-Prediction package as a foundation decision support tool (Adamantia Tsouchnika, Andreas Weinberger Rosen, Ismail Gögenur)

Lightning Talk: Detecting PTSD and self-harm among US Veterans using positive unlabeled Learning (Praveen Kumar, Nicolas R. Lauve, Sharon E. Davis, Sharidan K. Parr, Daniel Park, Michael E. Matheny, Gerardo Villarreal, George Uhl, Yiliang Zhu, Mauricio Tohen, Douglas J. Perkins, Christophe G. Lambert) * 2021 Recipient of Best Community Contribution Award

Lightning Talk: Revealing unknown benefits of existing medications to aid the discovery of new treatments for post-traumatic stress disorder (David Kern, Rachel E. Teneralli, Christopher M. Flores, James P. Gilbert, Christopher Knoll, Gayle M. Wittenberg, Patrick B. Ryan, M. Soledad Cepeda)

Lightning Talk: The European Health Data & Evidence Network (EHDEN) Sharing the OHDSI Journey and a Vision of Evidence Today, Not in Several tomorrows (Nigel Hughes, Daniel Prieto Alhambra, Carlos Diaz, Peter Rijnbeek)

Lightning Talk: Long term outcomes of prostate cancer patients managed by watchful waiting: results from the PIONEER/EHDEN/OHDSI study-a-thon (Kees van Bochove, Carl Steinbeiber, Asieh Golozar, Bertrand De Meulder, Susan Evans Axelsson, Giorgio Gandaglia, Katharina Beyer, Muhammad Imran Omar, James N’Dow, Anders Bjartell, Nazanin Zounemat Kermani, Ronald Herrera, Sebastiaan Remmers, Christian Reich, Shilpa Ratwani, Alex Asiimwe, Femke van Diggelen, Ketharini Senthilkumar, Robert Snijder, Ariel H. Achtman, Monique J. Roobol, Nigel Hughes, Peter Rijnbeek, Maxim Moinat, Emma Jane Smith and the PIONEER consortium)

Lightning Talk: Covid-19 Pandemic impacts on mental health Related conditions Via multi-database network: a Longitudinal Observational study (CERVELLO) (Carmen Olga Torre, Kenneth Man, Hao Luo, Wallis Lau, Ian Wong)

Lightning Talk: Large Scale Dissemination of OHDSI Methods and Tools: Introducing a New Community Resource, the OHDSI Center at the Roux Institute at Northeastern University (Kristin Kostka, Justin Manjourides, Andrew Williams, Christian Reich, David Madigan)