Literature DB >> 31798215

GRANULAR PATIENT CONTROL OF PERSONAL HEALTH INFORMATION: FEDERAL AND STATE LAW CONSIDERATIONS.

Michael J Saks1, Adela Grando2, Anita Murcko3, Chase Millea4.   

Abstract

The advent of electronic medical records and health information exchanges has facilitated the possibility of patients exercising increasingly granular control over sensitive health information. In principle, patients should be able to control which of their health information is made accessible to which of their healthcare providers. To meet this goal, the architects of any system of granular control of patients' health information face a variety of challenges. In addition to technical, ethical, and prudential considerations, the architects of any effective system must also ensure compliance with applicable legal requirements. The extent of a patient's permissible control depends upon whether governing law prohibits providers from disclosing health information to other providers without a patient's authorization, permits providers to disclose to other providers at the provider's discretion, or requires such disclosure. To inform efforts to design a viable system, this article analyzes U.S. federal and state (Arizona) law in regard to the sharing of the following types of sensitive health information: substance abuse, mental health, genetic, communicable diseases, and sexual and reproductive health.

Entities:  

Year:  2018        PMID: 31798215      PMCID: PMC6890413     

Source DB:  PubMed          Journal:  Jurimetrics        ISSN: 0897-1277


  16 in total

1.  The confidentiality of HIV-related information: responding to the resurgence of aggressive public health interventions in the AIDS epidemic.

Authors:  Roger Doughty
Journal:  Calif Law Rev       Date:  1994-01

2.  HIPAA regulations - a new era of medical-record privacy?

Authors:  George J Annas
Journal:  N Engl J Med       Date:  2003-04-10       Impact factor: 91.245

3.  Health law - genetics - Congress restricts use of genetic information by insurers and employers. - Genetic Information Nondiscrimination Act of 2008, Pub. L. No. 110-233, 122 Stat. 881 (to be codified in scattered sections of 26, 29, and 42 U.S.C.).

Authors: 
Journal:  Harv Law Rev       Date:  2009-01

4.  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
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

5.  HIV and Health Law: Striking the Balance between Legal Mandates and Medical Ethics.

Authors:  Laura Lin; Bryan A Liang
Journal:  Virtual Mentor       Date:  2005-10-01

6.  Designing a patient-centered user interface for access decisions about EHR data: implications from patient interviews.

Authors:  Kelly Caine; Spencer Kohn; Carrie Lawrence; Rima Hanania; Eric M Meslin; William M Tierney
Journal:  J Gen Intern Med       Date:  2015-01       Impact factor: 5.128

7.  Patient preferences in controlling access to their electronic health records: a prospective cohort study in primary care.

Authors:  Peter H Schwartz; Kelly Caine; Sheri A Alpert; Eric M Meslin; Aaron E Carroll; William M Tierney
Journal:  J Gen Intern Med       Date:  2015-01       Impact factor: 5.128

8.  The double-edged sword of electronic health records: implications for patient disclosure.

Authors:  Celeste Campos-Castillo; Denise L Anthony
Journal:  J Am Med Inform Assoc       Date:  2014-07-24       Impact factor: 4.497

9.  Falling short: how state laws can address health information exchange barriers and enablers.

Authors:  Cason D Schmit; Sarah A Wetter; Bita A Kash
Journal:  J Am Med Inform Assoc       Date:  2018-06-01       Impact factor: 4.497

10.  Ethical sharing of health data in online platforms - which values should be considered?

Authors:  Brígida Riso; Aaro Tupasela; Danya F Vears; Heike Felzmann; Julian Cockbain; Michele Loi; Nana C H Kongsholm; Silvia Zullo; Vojin Rakic
Journal:  Life Sci Soc Policy       Date:  2017-08-21
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  6 in total

1.  Pilot evaluation of sensitive data segmentation technology for privacy.

Authors:  Adela Grando; Davide Sottara; Ripudaman Singh; Anita Murcko; Hiral Soni; Tianyu Tang; Nassim Idouraine; Michael Todd; Mike Mote; Darwyn Chern; Christy Dye; Mary Jo Whitfield
Journal:  Int J Med Inform       Date:  2020-03-19       Impact factor: 4.046

2.  State of the art and a mixed-method personalized approach to assess patient perceptions on medical record sharing and sensitivity.

Authors:  Hiral Soni; Adela Grando; Anita Murcko; Sabrina Diaz; Madhumita Mukundan; Nassim Idouraine; George Karway; Michael Todd; Darwyn Chern; Christy Dye; Mary Jo Whitfield
Journal:  J Biomed Inform       Date:  2019-11-11       Impact factor: 6.317

3.  Behavioral Health Professionals' Perceptions on Patient-Controlled Granular Information Sharing (Part 1): Focus Group Study.

Authors:  Julia Ivanova; Tianyu Tang; Nassim Idouraine; Anita Murcko; Mary Jo Whitfield; Christy Dye; Darwyn Chern; Adela Grando
Journal:  JMIR Ment Health       Date:  2022-04-20

4.  Behavioral Health Professionals' Perceptions on Patient-Controlled Granular Information Sharing (Part 2): Focus Group Study.

Authors:  Julia Ivanova; Tianyu Tang; Nassim Idouraine; Anita Murcko; Mary Jo Whitfield; Christy Dye; Darwyn Chern; Adela Grando
Journal:  JMIR Ment Health       Date:  2022-04-20

5.  Mental health professionals' perceptions on patients control of data sharing.

Authors:  Julia Ivanova; Adela Grando; Anita Murcko; Michael Saks; Mary Jo Whitfield; Christy Dye; Darwyn Chern
Journal:  Health Informatics J       Date:  2020-01-08       Impact factor: 2.934

6.  Mental health professional perspectives on health data sharing: Mixed methods study.

Authors:  Adela Grando; Julia Ivanova; Megan Hiestand; Hiral Soni; Anita Murcko; Michael Saks; David Kaufman; Mary Jo Whitfield; Christy Dye; Darwyn Chern; Jonathan Maupin
Journal:  Health Informatics J       Date:  2020-01-11       Impact factor: 2.934

  6 in total

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