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

Recruitment of Research Participants (252) Secondary Use of Clinical Data for Research and Surveillance (266) Formative Studies and eHealth/mHealth Development (498) Precision Medicine (43) Ethics, Privacy, and Legal Issues (395) Clinical Communication, Electronic Consultation and Telehealth (415) Email Communication, Web-Based Communication, Secure Messaging (123) Research Infrastructures and Registries (39) Demographics of Users, Social & Digital Divide (587)

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 Lajonchere 1 Author Orcid Image ;   Arash Naeim 2 Author Orcid Image ;   Sarah Dry 3 Author Orcid Image ;   Neil Wenger 4 Author Orcid Image ;   David Elashoff 4 Author Orcid Image ;   Sitaram Vangala 4 Author Orcid Image ;   Antonia Petruse 5 Author Orcid Image ;   Maryam Ariannejad 1 Author Orcid Image ;   Clara Magyar 3 Author Orcid Image ;   Liliana Johansen 5 Author Orcid Image ;   Gabriela Werre 5 Author Orcid Image ;   Maxwell Kroloff 4 Author Orcid Image ;   Daniel Geschwind 1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Johnson R, Ding Y, Bhattacharya A, Knyazev S, Chiu A, Lajonchere C, Geschwind D, Pasaniuc B. The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank. Cell Genomics 2023;3(1):100243 View
  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
  3. Stackpole M, Zeng W, Li S, Liu C, Zhou Y, He S, Yeh A, Wang Z, Sun F, Li Q, Yuan Z, Yildirim A, Chen P, Winograd P, Tran B, Lee Y, Li P, Noor Z, Yokomizo M, Ahuja P, Zhu Y, Tseng H, Tomlinson J, Garon E, French S, Magyar C, Dry S, Lajonchere C, Geschwind D, Choi G, Saab S, Alber F, Wong W, Dubinett S, Aberle D, Agopian V, Han S, Ni X, Li W, Zhou X. Cost-effective methylome sequencing of cell-free DNA for accurately detecting and locating cancer. Nature Communications 2022;13(1) View
  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