This paper is in the following e-collection/theme issue:

Recruitment of Research Participants (296) Secondary Use of Clinical Data for Research and Surveillance (366) Formative Studies and eHealth/mHealth Development (524) Precision Medicine (75) Ethics, Privacy, and Legal Issues (479) Clinical Communication, Electronic Consultation and Telehealth (590) Email Communication, Web-Based Communication, Secure Messaging (160) Research Infrastructures and Registries (59) Demographics of Users, Social & Digital Divide (739)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31121, first published .
An Integrated, Scalable, Electronic Video Consent Process to Power Precision Health Research: Large, Population-Based, Cohort Implementation and Scalability Study

An Integrated, Scalable, Electronic Video Consent Process to Power Precision Health Research: Large, Population-Based, Cohort Implementation and Scalability Study

An Integrated, Scalable, Electronic Video Consent Process to Power Precision Health Research: Large, Population-Based, Cohort Implementation and Scalability Study

Authors of this article:

Clara Lajonchere1 Author Orcid Image ;   Arash Naeim2 Author Orcid Image ;   Sarah Dry3 Author Orcid Image ;   Neil Wenger4 Author Orcid Image ;   David Elashoff4 Author Orcid Image ;   Sitaram Vangala4 Author Orcid Image ;   Antonia Petruse5 Author Orcid Image ;   Maryam Ariannejad1 Author Orcid Image ;   Clara Magyar3 Author Orcid Image ;   Liliana Johansen5 Author Orcid Image ;   Gabriela Werre5 Author Orcid Image ;   Maxwell Kroloff4 Author Orcid Image ;   Daniel Geschwind1 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Journals

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  2. Johnson R, Ding Y, Venkateswaran V, Bhattacharya A, Boulier K, Chiu A, Knyazev S, Schwarz T, Freund M, Zhan L, Burch K, Caggiano C, Hill B, Rakocz N, Balliu B, Denny C, Sul J, Zaitlen N, Arboleda V, Halperin E, Sankararaman S, Butte M, Lajonchere C, Geschwind D, Pasaniuc B. Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative. Genome Medicine 2022;14(1) View
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  4. Kassam I, Ilkina D, Kemp J, Roble H, Carter-Langford A, Shen N. Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review. Journal of Medical Internet Research 2023;25:e42507 View
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  6. Caggiano C, Boudaie A, Shemirani R, Mefford J, Petter E, Chiu A, Ercelen D, He R, Tward D, Paul K, Chang T, Pasaniuc B, Kenny E, Shortt J, Gignoux C, Balliu B, Arboleda V, Belbin G, Zaitlen N. Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region. Nature Medicine 2023;29(7):1845 View
  7. Venkateswaran V, Boulier K, Ding Y, Johnson R, Bhattacharya A, Pasaniuc B. Polygenic scores for tobacco use provide insights into systemic health risks in a diverse EHR-linked biobank in Los Angeles. Translational Psychiatry 2024;14(1) View
  8. Fu M, Valiente-Banuet L, Wadhwa S, Pasaniuc B, Vossel K, Chang T. Improving genetic risk modeling of dementia from real-world data in underrepresented populations. Communications Biology 2024;7(1) View