Literature DB >> 14662803

e-Consent: The design and implementation of consumer consent mechanisms in an electronic environment.

Enrico Coiera1, Roger Clarke.   

Abstract

The effective coordination of health care relies on communication of confidential information about consumers between different health and community care services. However, consumers must be able to give or withhold "e-Consent" to those who wish to access their electronic health information. There are several possible forms for e-Consent. In the general consent model, a patient provides blanket consent for access to his or her information by an organization for all future information requests. Conversely, general denial explicitly denies consent for information to be used in future circumstances, and in each new episode of care, a new consent would be needed to obtain information. In the general consent with specific denial model, a patient attaches specific exclusion conditions to his or her general approval to future accesses. In contrast, in the general denial with explicit consent model, a patient issues a blanket block on all future accesses but allows the inclusion of future use under specified conditions. There also are several alternative functions for an e-Consent system. Consent could be captured as a matter of legal record. E-Consent systems could be more active by prompting clinicians to indicate that they have noted consent conditions before they access a record. Finally, the record of patient consent could be fully active and used as a gatekeeper in a distributed information environment. There probably will need to be some form of data object that is associated with patient information. This e-Consent object (or e-Co) will contain the specific conditions under which the data to which it is attached can be retrieved. Given the complexity of clinical work and the substantial variation we can expect in an individual's desire to make his or her personal medical details available, it is unlikely a "one size fits all" approach to e-Consent will work. Consequently, with a well-chosen consent design, it should be possible to balance the specific need for privacy of some of the population against the desire by others to err on the side of clinical safety, and clinicians desire to minimize the burden that an electronic consent mechanism would impose.

Entities:  

Keywords:  Professional Patient Relationship

Mesh:

Year:  2003        PMID: 14662803      PMCID: PMC353020          DOI: 10.1197/jamia.M1480

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  5 in total

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Journal:  J Am Med Inform Assoc       Date:  2000 Mar-Apr       Impact factor: 4.497

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5.  Communication loads on clinical staff in the emergency department.

Authors:  Enrico W Coiera; Rohan A Jayasuriya; Jennifer Hardy; Aiveen Bannan; Max E C Thorpe
Journal:  Med J Aust       Date:  2002-05-06       Impact factor: 7.738

  5 in total
  19 in total

1.  Consent mechanisms for electronic health record systems: a simple yet unresolved issue.

Authors:  Khin T Win; John A Fulcher
Journal:  J Med Syst       Date:  2007-04       Impact factor: 4.460

2.  Current State of Electronic Consent Processes in Behavioral Health: Outcomes from an Observational Study.

Authors:  Hiral Soni; Adela Grando; Anita Murcko; Mike Bayuk; Pramod Chandrashekar; Madhumita Mukundan; Meredith Abrams; Marcela P Aliste; Megan Hiestand; Julia Varkey; Wentao Zhou; Caroline Horrow; Michael Saks; Richard Sharp; Mary Jo Whitfield; Mark Callesen; Christy Dye; Darwyn Chern
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3.  Smart Technology in Lung Disease Clinical Trials.

Authors:  Nancy L Geller; Dong-Yun Kim; Xin Tian
Journal:  Chest       Date:  2016-01-06       Impact factor: 9.410

4.  Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants.

Authors:  Abhishek Pratap; Elias Chaibub Neto; Phil Snyder; Carl Stepnowsky; Noémie Elhadad; Daniel Grant; Matthew H Mohebbi; Sean Mooney; Christine Suver; John Wilbanks; Lara Mangravite; Patrick J Heagerty; Pat Areán; Larsson Omberg
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5.  Family informatics.

Authors:  Enrico Coiera; Kathleen Yin; Roneel V Sharan; Saba Akbar; Satya Vedantam; Hao Xiong; Jenny Waldie; Annie Y S Lau
Journal:  J Am Med Inform Assoc       Date:  2022-06-14       Impact factor: 7.942

6.  An investigation of the efficacy of electronic consenting interfaces of research permissions management system in a hospital setting.

Authors:  Kapil Chalil Madathil; Reshmi Koikkara; Jihad Obeid; Joel S Greenstein; Iain C Sanderson; Katrina Fryar; Jay Moskowitz; Anand K Gramopadhye
Journal:  Int J Med Inform       Date:  2013-06-10       Impact factor: 4.046

7.  A conceptual framework and principles for trusted pervasive health.

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Journal:  J Med Internet Res       Date:  2012-04-06       Impact factor: 5.428

8.  Consumers' perceptions about and use of the internet for personal health records and health information exchange: analysis of the 2007 Health Information National Trends Survey.

Authors:  Kuang-Yi Wen; Gary Kreps; Fang Zhu; Suzanne Miller
Journal:  J Med Internet Res       Date:  2010-12-18       Impact factor: 5.428

9.  Introduction of shared electronic records: multi-site case study using diffusion of innovation theory.

Authors:  Trisha Greenhalgh; Katja Stramer; Tanja Bratan; Emma Byrne; Yara Mohammad; Jill Russell
Journal:  BMJ       Date:  2008-10-23

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Authors:  Steven R Simon; J Stewart Evans; Alison Benjamin; David Delano; David W Bates
Journal:  J Med Internet Res       Date:  2009-08-06       Impact factor: 5.428

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