All poster abstracts for the 2016 OHDSI Symposium should be uploaded here. For more information about submission guidelines, please check out our 2016 call for posters page or contact Maura Beaton at beaton@ohdsi.org

OHDSI Symposium - 2016 Abstract Submission Template (Abstracts due June 22nd 2016) - SUBMISSIONS CLOSED

OHDSI Symposium - 2016 Poster Template

SUBMISSIONS CLOSED

Instructions: First upload your file using Media Manager link (top right corner) (make good note of the exact file name (e.g., to clipboard)) and then copy previous link and edit it to say your file name and after pipe your submission title.

• Choi, Myung - OHDSI on FHIR Platform Development with OMOP CDM mapping to FHIR Resources
• Huser, Vojtech - Analysis of drug use by dose form in large healthcare databases: Data granularity issues and CDM considerations
• Blacketer, Clair - Converting SEER-Medicare to the OMOP Common Data Model
• Vashisht, Rohit - Learning Effective Clinical Treatment Pathways from Observational Data txpath-ohdsi-2016-nigam.pdf
• Hardin, Jill - Comparative Effectiveness Research Opportunities using the OHDSI Network
• Knoll, Chris - Cohort Definitions using Atlas
• Lee, Seongwon - Conversion of National Health Insurance Service (NHIS) Data of Korea to the Observational Medical Outcomes Partnership (OMOP) Common Data Mode
• Bayzid, Md. Shamsuzzoha - Conversion of MIMIC to OHDSI CDM
• Cho, Soo Yeon - A descriptive study on sudden cardiac arrest based on OMOP CDM in Korea
• Su, Hang - Scalable Cohort Construction for Patient-level Prediction
• Gold, Sigfried - CHRONOS: Cohort exploration through individual patient profiles
• Swerdel, Joel - Assessing the Utility of Patient-level Predictive Models for Patients in Palliative Care
• Moinat, Maxim - Mapping Danish Drug Concepts to the RxNorm Vocabulary
• Reps, Jenna - A framework to efficiently identify potential prognostic factors
• Soleimani, Hossein - Multivariate Longitudinal Models for Electronic Health Records
• Banda, Juan - Advanced Temporal Language Aided Search for the OHDSI community
• Moinat, Maxim - Note: internal publication approval is pending.“Transforming Electronic Health Records from Swedish Registers to the OMOP CDM”
• Ronquillo, Jay - Integrating HealthKit and OMOP CDM V5.0 for Precision Medicine mHealth Research for Alzheimer's Disease
• Chandran, Urmila - Descriptive study of safety outcomes in rheumatoid arthritis patients using OHDSI tools
• DeFalco, Frank - Architectural Considerations to Enable Large Scale Analytics from the OHDSI Web Platform
• DeFalco, Frank - Comparative Cohort Analysis Demonstration
• Sena, Anthony - Automated selection of Negative Control Exposure-Outcome pairs for use in Observational Studies: A capabilities demonstration
• Gill, Mandev - Sparse Coding for Predictive Modeling of Observational Health Outcomes
• Rijnbeek, Peter - Best Practices for Patient-Level Prediction in OHDSI
• Levine, Matthew - Comparing lagged linear methods for uncovering associations in EHR data
• Johnson, Karin - Assessing Data Availability for Pharmacoepidemiology Research in 3 US Healthcare Databases Using the OMOP Common Data Model
• Duke, Jon - TxPath: An Open-Source Tool for Conducting Treatment Pathway Analyses Using the OHDSI Framework
• Abedtash, Hamed - CCD2OMOP: An Interoperable Extract-Transform-Load Package to Support the Implementation of OHDSI Software Tools Across Non-OMOP-based Electronic Health Records
• Schulam, Peter - Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses
• Lambert, Christophe G.; Amritansh; Kumar, Praveen - Transforming the 2.33M-patient Medicare synthetic public use files to the OMOP CDM v5: ETL-CMS software and processed data available and feature-complete
• Lambert, Christophe G.; Lauve, Nicolas R. - Local Control for bias correction of time-to-event observational studies
• O'Hara, Donald, et al - Highly scalable patient-at-a-time transformation of observational databases into OMOP CDM v5 format using cloud-based open source tools
• Rijnbeek, Peter - Implementation of the OMOP CDM and OHDSI tools in the European Medical Information Framework (EMIF)
• Reps, Jenna - Utilizing the OHDSI collaborative network for large-scale prognostic model validation
• Jung, Sungjae - A web based integrated code generating system for cohort analysis
• Reps, Jenna - Patient-Level Prediction Package Demo
• Wu, Yonghui - Using an Open-Source Extract-Transform-Load Package to Convert Cerner Health Facts Dataset to the Common Data Model
• Londhe, Ajit - Comparing the Effectiveness of Percutaneous Transluminal Angioplasty Against Clopidogrel in Peripheral Arterial Disease Patients
• Yahi, Alexandre - Natural Language Processing in Clinical and Translational Research: Integrating Context-Dependent Modifier Combinations Across Diverse Note Types
• Makadia, Rupa - Using OHDSI tools to conduct clinical trial feasibility
• Park, HoJun - AURORA: analytic code managing and distributing tool between researchers and data partners Types
• Evans, Lee; Suchard, Marc; Duke, Jon - BROADSEA: the OHDSI open source standard software stack packaged as Docker container images for cross-platform installation
• Utidjian, Levon - Experience of Developing Computable Phenotypes for Pediatric Chronic Conditions in PEDSnet
• Miller, Robert - OHDSI GIS
• Ferrell, Rebecca; McCormick, Tyler - Bayesian Feature Selection for Interpretable Prediction in Observational Medical Data
• Puntikov, Nikolai; Khoma, Yuriy - Arachne: Automated Execution of distributed OHDSI Network Research
• Ranganath R, Perotte A, Elhadad N, Blei D - Deep Survival Analysis
• Elhadad N - Leveraging Clinical Texts and Enabling Natural Language Processing in OHDSI
• Lewis Fray - c3podysseus.pdf
• Sylvia Cho Comparison and Evaluation of Online Geocoding Services
• Ning Shang Exploring Data Representation of Parsed Unstructured Clinical Data in Phenotyping Variable Retrieval
• Xu, Yanbo A Non-parametric Bayesian Approach for Estimating Treatment-Response Curves from Sparse Time Series
• Dale, Leigh-Anne Advancing Outcomes Analysis Within and Across Transplant Centers Using the OMOP CDM
• Schuemie, Martijn methodslibrarydemo_v01.pdf

SUBMISSIONS CLOSED