mHealth Data Security: The Need for HIPAA-Compliant Standardization

By D. Luxton, Robert A Kayl, M. Mishkind. 2012

172 citations recorded by the source corpus.

Subfields: General Health Professions, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Health Professions

1. Borja Martínez-Pérez

In Sociology and Political Science

1. Otkrist Gupta
2. Ramesh Raskar
3. Tristan Swedish
4. Abhimanyu Dubey
5. Praneeth Vepakomma

Citations in the corpus

• Split learning for health: Distributed deep learning without sharing raw patient data (2018, background): “Collaboration in health is heavily impeded by lack of trust, data sharing regulations such as HIPAA [3, 4, 5, 6, 7] and limited consent of patients.”
• Privacy and Security in Mobile Health Apps: A Review and Recommendations (2014, background): “In addition, there are few researches regarding privacy and security laws for mobile health [33, 34], but many about specific privacy or security techniques in this field [35–39].”
• No Peek: A Survey of private distributed deep learning (2018, background): “They also are unable to share it with external entities (data cannot physically leave the premises) due to limited consent of the patients, and regulations such as HIPAA [5,1,6,7,8] that prevent sharing many aspects of the data to external entities.”