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Luke V Rasmussen

Showing results (81-90 of 105) with videos related to

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Applied Clinical Informatics|September 22, 2016
Practical considerations for implementing genomic information resources. Experiences from eMERGE and CSERLuke V Rasmussen, Casey L Overby, John Connolly, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|July 17, 2020
Participant choices for return of genomic results in the eMERGE NetworkChristin Hoell, Julia Wynn, Luke V Rasmussen, et al.
Health Affairs (Project Hope)|April 3, 2018
Primary Care Practices' Abilities And Challenges In Using Electronic Health Record Data For Quality ImprovementDeborah J Cohen, David A Dorr, Kyle Knierim, et al.
Journal of Biomedical Informatics|July 21, 2019
Facilitating phenotype transfer using a common data modelGeorge Hripcsak, Ning Shang, Peggy L Peissig, et al.
Journal of Biomedical Informatics|September 23, 2019
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE networkNing Shang, Cong Liu, Luke V Rasmussen, et al.
Journal of Personalized Medicine|December 24, 2021
Applicability of Pharmacogenomically Guided Medication Treatment during Hospitalization of At-Risk Minority PatientsLoren Saulsberry, Keith Danahey, Merisa Middlestadt, et al.
BMC Medical Informatics and Decision Making|January 29, 2022
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitionsJingzhi Yu, Jennifer A Pacheco, Anika S Ghosh, et al.
Molecular Vision|October 30, 2014
Electronic medical records and genomics (eMERGE) network exploration in cataract: several new potential susceptibility lociMarylyn D Ritchie, Shefali S Verma, Molly A Hall, et al.
Journal of the American Medical Informatics Association : JAMIA|December 7, 2022
Characterizing variability of electronic health record-driven phenotype definitionsPascal S Brandt, Abel Kho, Yuan Luo, et al.
Journal of the American Medical Informatics Association : JAMIA|August 21, 2018
A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environmentsJennifer A Pacheco, Luke V Rasmussen, Richard C Kiefer, et al.
Pageof 11

Showing results (81-90 of 105) with videos related to

Sort By:
Pageof 11
Applied Clinical Informatics|September 22, 2016
Practical considerations for implementing genomic information resources. Experiences from eMERGE and CSERLuke V Rasmussen, Casey L Overby, John Connolly, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|July 17, 2020
Participant choices for return of genomic results in the eMERGE NetworkChristin Hoell, Julia Wynn, Luke V Rasmussen, et al.
Health Affairs (Project Hope)|April 3, 2018
Primary Care Practices' Abilities And Challenges In Using Electronic Health Record Data For Quality ImprovementDeborah J Cohen, David A Dorr, Kyle Knierim, et al.
Journal of Biomedical Informatics|July 21, 2019
Facilitating phenotype transfer using a common data modelGeorge Hripcsak, Ning Shang, Peggy L Peissig, et al.
Journal of Biomedical Informatics|September 23, 2019
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE networkNing Shang, Cong Liu, Luke V Rasmussen, et al.
Journal of Personalized Medicine|December 24, 2021
Applicability of Pharmacogenomically Guided Medication Treatment during Hospitalization of At-Risk Minority PatientsLoren Saulsberry, Keith Danahey, Merisa Middlestadt, et al.
BMC Medical Informatics and Decision Making|January 29, 2022
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitionsJingzhi Yu, Jennifer A Pacheco, Anika S Ghosh, et al.
Molecular Vision|October 30, 2014
Electronic medical records and genomics (eMERGE) network exploration in cataract: several new potential susceptibility lociMarylyn D Ritchie, Shefali S Verma, Molly A Hall, et al.
Journal of the American Medical Informatics Association : JAMIA|December 7, 2022
Characterizing variability of electronic health record-driven phenotype definitionsPascal S Brandt, Abel Kho, Yuan Luo, et al.
Journal of the American Medical Informatics Association : JAMIA|August 21, 2018
A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environmentsJennifer A Pacheco, Luke V Rasmussen, Richard C Kiefer, et al.
Pageof 11