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

Design and Usability of Clinical Software and EHRs (163) Focus Groups and Qualitative Research with Users (589) Clinical Information and Decision Making (902) Participatory Medicine & E-Patients (576) Visualization in eHealth (51) Consumer & Patient Education and Shared-Decision Making (517) Ethics, Privacy, and Legal Issues (366) Decision Support for Health Professionals (736) Clinical Informatics (539)

Published on in Vol 9 , No 2 (2022) :Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29118, first published .
Effective Communication of Personalized Risks and Patient Preferences During Surgical Informed Consent Using Data Visualization: Qualitative Semistructured Interview Study With Patients After Surgery

Effective Communication of Personalized Risks and Patient Preferences During Surgical Informed Consent Using Data Visualization: Qualitative Semistructured Interview Study With Patients After Surgery

Effective Communication of Personalized Risks and Patient Preferences During Surgical Informed Consent Using Data Visualization: Qualitative Semistructured Interview Study With Patients After Surgery

Authors of this article:

Undina Gisladottir 1 Author Orcid Image ;   Drashko Nakikj 1 Author Orcid Image ;   Rashi Jhunjhunwala 2 Author Orcid Image ;   Jasmine Panton 2, 3 Author Orcid Image ;   Gabriel Brat 1, 2 Author Orcid Image ;   Nils Gehlenborg 1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics
Undina Gisladottir 1 , MBI ;   Drashko Nakikj 1 , PhD ;   Rashi Jhunjhunwala 2 , MA, MD ;   Jasmine Panton 2, 3 , MBE ;   Gabriel Brat 1, 2 * , MPH, MD ;   Nils Gehlenborg 1 * , PhD

1 Department of Biomedical Informatics , Harvard Medical School , Harvard University , Boston , MA , US

2 Department of Surgery , Beth Israel Deaconess Medical Center , Boston , MA , US

3 Geisel School of Medicine , Dartmouth College , Hanover , NH , US

*these authors contributed equally

Corresponding Author:

  • Nils Gehlenborg, PhD
  • Department of Biomedical Informatics
  • Harvard Medical School
  • Harvard University
  • 10 Shattuck Street
  • Suite 514
  • Boston, MA
  • US
  • Phone: 1 6174321535
  • Email: nils@hms.harvard.edu