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

Canada Health Infoway e-Collection Benefits Evaluation (35) Ethics, Privacy, and Legal Issues (485) Participatory Medicine & E-Patients (781) Consumer & Patient Education and Shared-Decision Making (688) Digital Health Reviews (1315)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42507, first published .
Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review

Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review

Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review

Authors of this article:

Iman Kassam1, 2 Author Orcid Image ;   Daria Ilkina3 Author Orcid Image ;   Jessica Kemp1, 2 Author Orcid Image ;   Heba Roble1, 2 Author Orcid Image ;   Abigail Carter-Langford3 Author Orcid Image ;   Nelson Shen1, 2 Author Orcid Image
Article Authors Cited by (11) Tweetations (33) Metrics

Journals

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  2. Panadés Zafra R, Amorós Parramon N, Albiol-Perarnau M, Yuguero Torres O. Análisis de retos y dilemas que deberá afrontar la bioética del siglo xxi, en la era de la salud digital. Atención Primaria 2024;56(7):102901 View
  3. Botha N, Ansah E, Segbedzi C, Dumahasi V, Maneen S, Kodom R, Tsedze I, Akoto L, Atsu F. Artificial intelligent tools: evidence-mapping on the perceived positive effects on patient-care and confidentiality. BMC Digital Health 2024;2(1) View
  4. Northwood M, Saari M, Heckman G, Alexander T, Eastway B, Gerantonis P, Gillies D, Gregg S, McKinnon Wilson J, Morrison A, Sultan H, Turcotte L. Use of an electronic wellness instrument in the integrated health and social care of older adults: a group concept mapping study. BMC Health Services Research 2024;24(1) View
  5. Bilal A, Pagoni K, Iliadis S, Papadopoulos F, Skalkidou A, Öster C. Exploring User Experiences of the Mom2B mHealth Research App During the Perinatal Period: Qualitative Study. JMIR Formative Research 2024;8:e53508 View
  6. Zainal H, Hui X, Thumboo J, Fong W, Yong F. Patients’ Expectations of Doctors’ Clinical Competencies in the Digital Health Care Era: Qualitative Semistructured Interview Study Among Patients. JMIR Human Factors 2024;11:e51972 View
  7. Yusuf Z, Dixon W, Sharp C, Cook L, Holm S, Sanders C. Building and Sustaining Public Trust in Health Data Sharing for Musculoskeletal Research: Semistructured Interview and Focus Group Study. Journal of Medical Internet Research 2024;26:e53024 View
  8. Elliott M, Fiest K, Love S, Birdsell D, Loth M, Dumka H, Rana B, Shommu N, Benterud E, Gil S, Acharya D, Harrison T, Pannu N, James M. Patient Preferences and Priorities for the Design of an Acute Kidney Injury Prevention Trial. Kidney360 2024;5(10):1455 View
  9. Heavner S, Kumar V, Anderson W, Al-Hakim T, Dasher P, Armaignac D, Clermont G, Cobb J, Manion S, Remy K, Reuter-Rice K, Haendel M. Critical Data for Critical Care: A Primer on Leveraging Electronic Health Record Data for Research From Society of Critical Care Medicine’s Panel on Data Sharing and Harmonization. Critical Care Explorations 2024;6(11):e1179 View
  10. Welzel C, Brückner S, Brightwell C, Fenech M, Gilbert S, Ayatollahi H. A transparent and standardized performance measurement platform is needed for on-prescription digital health apps to enable ongoing performance monitoring. PLOS Digital Health 2024;3(11):e0000656 View
  11. Trotsyuk A, Waeiss Q, Bhatia R, Aponte B, Heffernan I, Madgavkar D, Felder R, Lehmann L, Palmer M, Greely H, Wald R, Goetz L, Trengove M, Vandersluis R, Lin H, Cho M, Altman R, Endy D, Relman D, Levi M, Satz D, Magnus D. Toward a framework for risk mitigation of potential misuse of artificial intelligence in biomedical research. Nature Machine Intelligence 2024 View