====== 2016 OHDSI Symposium Posters ======

Anyone who presented a poster at the 2016 OHDSI Symposium is welcome and encouraged to share their full poster here. For more information about how to upload your poster, instructions are available on the [[resources: OHDSI library|OHDSI Library]] main page. If you have any questions, please contact Maura Beaton at <beaton@ohdsi.org>

Please note that while all presenters are welcome to share their posters, **uploading your poster is not required**.

===== Posters: =====

Observational Data Management
  * 1. {{:symposium_2016:mimic_cdm_ohdsi_symposium_2016.pdf|Conversion of MIMIC to OMOP CDM}}
  * 2. {{:resources:ohdsionfhir_gatech_v1.pdf|OHDSI on FHIR Platform Development with OMOP CDM Mapping to FHIR Resources}}
  * 3. {{:resources:Rijnbeek_EMIF_Poster.pdf|Implementation of the OMOP CDM and OHDSI tools in the European Medical Information Framework (EMIF)}}
  * 4. {{:symposium_2016:poster_ohdsi_symposium_2016_auh_v2_3_.pdf|Automatic Mapping of Drug Concepts to the RxNorm Vocabulary}}
  * 5. {{:symposium_2016:ohdsi_gis_rmiller.pdf|OHDSI GIS: Gaia}}
  * 6. BEST POSTER: {{:symposium_2016:transforming_the_2.33m-patient_medicare_synthetic_public_use_files_to_the_omop_cdmv5_-_etl-cms_software_and_processed_data_available_and_feature-complete.pdf|Transforming the 2.33M-patient Medicare synthetic public use files to the OMOP CDMv5: ETL-CMS software and processed data available and feature-complete}}
  * 7. {{:resources:ohdsi_2016_cho_natarajan.pdf|Comparison and Evaluation on Online Geocoding Services}}
  * 8. {{:resources:ims_odhsi_2016_poster.pdf|Assessing Data Availability for Pharmacoepidemiology Research 
in 3 US Healthcare Databases Using the OMOP Common Data Model}}
  * 9. {{:resources:doseform-poster-v04.pdf|Analysis of drug use by dose form in large healthcare databases: Data granularity issues and CDM considerations (Huser V)
}}


Methodological Research
  * 1. {{:resources:ohdsi_2016_csccs_james_weaver.pdf|Evaluating the Comparative Self-Controlled Case Series Method}}
  * 2. Comparing lagged linear methods for uncovering associations in EHR data: {{:symposium_2016:laggedcorrelations_ohdsi_poster.pdf}}
  * 3. {{:resources:Rijnbeek_PLP_Poster.pdf|Best Practices for Patient-Level Prediction in OHDSI}}
  * 4. {{:resources:ohdsi_symposium_2016_yahi_final.pdf|Natural Language Processing in Clinical and Translational Research: Of the Importance of Section Headers for Accurate Modifiers Assignments}}
  * 5. {{:symposium_2016:ohdsi_symposium_2016_poster_hsu.pdf|Scalable Cohort Construction}}
  * 6. BEST POSTER: {{:symposium_2016:local_control_for_bias_correction_of_time-to-event_observational_studies.pdf|Local Control for bias correction of time-to-event observational studies}}
  * 7. {{:resources:ohdsi_2016_MIMIC_causal_benchmark_ver_for_print.pdf|An Open Benchmark for Causal Inference Using the MIMIC-III and Philips Datasets}}
  * 8. {{:symposium_2016:large_scale_analysis_presented.pdf|Utilizing the OHDSI collaborative network for large-scale prognostic model validation}}
  * 9. {{:symposium_2016:oa_poster_final.pdf|A framework to efficiently identify potential prognostic factors}}


  

Analytics, Technology and Infrastructure
  * 1. BEST POSTER: {{:resources:chronos_poster.pdf|CHRONOS, patient profile poster}}
  * 2.{{:symposium_2016:mobile_health_iphone_app_for_precision_medicine_alzheimer_s_research_using_omop_cdm.pdf|Mobile Health iPhone App for Precision Medicine Alzheimer's Research Using OMOP CDM}}
  * 3. {{:resources:ohdsi_symposium_2016_broadsea_poster.pdf|BROADSEA - Docker Containers For Cross-Platform Installation of OHDSI Tools}}
  * 4. {{:symposium_2016:code_generator_sungjae.pdf|A web based integrated code generating system for cohort analysis}}
  * 5. {{:symposium_2016:ohdsi_2016_fdefalco_architectural_considerations.pdf|Architectural Considerations to Enable Large Scale Analytics from the OHDSI Web Platform}} 


Clinical Applications: Clinical Characterization
  * 1. {{:resources:Comparative Effectiveness Research Opportunities using the OHDSI Network v6.0.pdf|Comparative Effectiveness Research Opportunities using the OHDSI Network}}
  * 2. BEST POSTER: {{:resources:using_ohdsi_tools_makadia_forlenza_v3.pdf|}}|Using OHDSI tools for clinical trial feasibility
  * 3. {{:resources:poster_rohit_updated.pdf|Learning Effective Clinical Treatment Pathways from Observational Data}}
  * 4. {{:symposium_2016:ohdsi_sca_2016_ver1.2.pdf|A descriptive study on sudden cardiac arrest based on OMOP CDM in Korea}}