Literature DB >> 26262116

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.

George Hripcsak1, Jon D Duke2, Nigam H Shah3, Christian G Reich4, Vojtech Huser5, Martijn J Schuemie6, Marc A Suchard7, Rae Woong Park8, Ian Chi Kei Wong6, Peter R Rijnbeek9, Johan van der Lei9, Nicole Pratt10, G Niklas Norén11, Yu-Chuan Li12, Paul E Stang13, David Madigan14, Patrick B Ryan13.   

Abstract

The vision of creating accessible, reliable clinical evidence by accessing the clincial experience of hundreds of millions of patients across the globe is a reality. Observational Health Data Sciences and Informatics (OHDSI) has built on learnings from the Observational Medical Outcomes Partnership to turn methods research and insights into a suite of applications and exploration tools that move the field closer to the ultimate goal of generating evidence about all aspects of healthcare to serve the needs of patients, clinicians and all other decision-makers around the world.

Entities:  

Mesh：

Year:  2015        PMID： 26262116      PMCID： PMC4815923     

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN： 0926-9630


  5 in total

1.  Validation of a common data model for active safety surveillance research.

Authors:  J Marc Overhage; Patrick B Ryan; Christian G Reich; Abraham G Hartzema; Paul E Stang
Journal:  J Am Med Inform Assoc       Date:  2011-10-28       Impact factor: 4.497

2.  Evaluating the impact of database heterogeneity on observational study results.

Authors:  David Madigan; Patrick B Ryan; Martijn Schuemie; Paul E Stang; J Marc Overhage; Abraham G Hartzema; Marc A Suchard; William DuMouchel; Jesse A Berlin
Journal:  Am J Epidemiol       Date:  2013-05-05       Impact factor: 4.897

3.  A 'green button' for using aggregate patient data at the point of care.

Authors:  Christopher A Longhurst; Robert A Harrington; Nigam H Shah
Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

4.  Estimating prognosis with the aid of a conversational-mode computer program.

Authors:  A R Feinstein; J F Rubinstein; W A Ramshaw
Journal:  Ann Intern Med       Date:  1972-06       Impact factor: 25.391

5.  Medication-wide association studies.

Authors:  P B Ryan; D Madigan; P E Stang; M J Schuemie; G Hripcsak
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-09-18
  5 in total
  338 in total

1.  An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model version 5.0.

Authors:  Shreya Chakrabarti; Anando Sen; Vojtech Huser; Gregory W Hruby; Alexander Rusanov; David J Albers; Chunhua Weng
Journal:  J Healthc Inform Res       Date:  2017-06-08

2.  How Confident Are We about Observational Findings in Healthcare: A Benchmark Study.

Authors:  Martijn J Schuemie; M Soledad Cepeda; Marc A Suchard; Jianxiao Yang; Yuxi Tian; Alejandro Schuler; Patrick B Ryan; David Madigan; George Hripcsak
Journal:  Harv Data Sci Rev       Date:  2020-01-31

3.  HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model.

Authors:  Jeremy L Warner; Dmitry Dymshyts; Christian G Reich; Michael J Gurley; Harry Hochheiser; Zachary H Moldwin; Rimma Belenkaya; Andrew E Williams; Peter C Yang
Journal:  J Biomed Inform       Date:  2019-06-22       Impact factor: 6.317

4.  Clinical Databases for Breast Cancer Research.

Authors:  Ki-Tae Hwang
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

5.  WebDISCO: a web service for distributed cox model learning without patient-level data sharing.

Authors:  Chia-Lun Lu; Shuang Wang; Zhanglong Ji; Yuan Wu; Li Xiong; Xiaoqian Jiang; Lucila Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2015-07-09       Impact factor: 4.497

6.  Characterizing treatment pathways at scale using the OHDSI network.

Authors:  George Hripcsak; Patrick B Ryan; Jon D Duke; Nigam H Shah; Rae Woong Park; Vojtech Huser; Marc A Suchard; Martijn J Schuemie; Frank J DeFalco; Adler Perotte; Juan M Banda; Christian G Reich; Lisa M Schilling; Michael E Matheny; Daniella Meeker; Nicole Pratt; David Madigan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-06       Impact factor: 11.205

7.  Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data.

Authors:  Zhaobin Kuang; Peggy Peissig; Vítor Santos Costa; Richard Maclin; David Page
Journal:  KDD       Date:  2017-08

8.  Computable Phenotype Implementation for a National, Multicenter Pragmatic Clinical Trial: Lessons Learned From ADAPTABLE.

Authors:  Faraz S Ahmad; Iben M Ricket; Bradley G Hammill; Lisa Eskenazi; Holly R Robertson; Lesley H Curtis; Cecilia D Dobi; Saket Girotra; Kevin Haynes; Jorge R Kizer; Sunil Kripalani; Mathew T Roe; Christianne L Roumie; Russ Waitman; W Schuyler Jones; Mark G Weiner
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-05-29

9.  Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings.

Authors:  Guan N Guo; Jitendra Jonnagaddala; Sanjay Farshid; Vojtech Huser; Christian Reich; Siaw-Teng Liaw
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

10.  Machine-learning model to predict the cause of death using a stacking ensemble method for observational data.

Authors:  Chungsoo Kim; Seng Chan You; Jenna M Reps; Jae Youn Cheong; Rae Woong Park
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497
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