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

Health Risk and Perception in Cognitive Reasoning (15) Focus Groups and Qualitative Research for Human Factors Research (764) Clinical Information and Decision Making (1315) Participatory Medicine & E-Patients (758) Visualization in eHealth (54) Consumer & Patient Education and Shared-Decision Making (636) Ethics, Privacy, and Legal Issues (456) Decision Support for Health Professionals (1129) Clinical Informatics (904) Design and Usability of Clinical Software and EHRs (242)

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 Gisladottir1 Author Orcid Image ;   Drashko Nakikj1 Author Orcid Image ;   Rashi Jhunjhunwala2 Author Orcid Image ;   Jasmine Panton2, 3 Author Orcid Image ;   Gabriel Brat1, 2 Author Orcid Image ;   Nils Gehlenborg1 Author Orcid Image
Article Authors Cited by (6) 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, United States

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

3 Geisel School of Medicine, Dartmouth College, Hanover, NH, United States

*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, 02115
  • United States
  • Phone: 1 6174321535
  • Email: nils@hms.harvard.edu