HIPAA regulations - a new era of medical-record privacy?
By G. J. Annas. 2003
382 citations recorded by the source corpus.
The new privacy regulations of the Health Insurance Portability and Accountability Act of 1996 (HIPAA) become effective April 14, 2003. This article outlines the implications of the new policy for practicing physicians. The regulations will affect virtually every physician, because they apply to any health care provider who conducts any business electronically, including billing. The regulations require health care providers to provide patients with a privacy notice that informs them who will have access to their records without their explicit consent and about patients' rights to inspect and amend their own records.
Subfields: Pharmacy, Public Health, Environmental and Occupational Health
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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.”
- Survey of Personalization Techniques for Federated Learning (2020, background): “Policies such as the General Data Protection Regulation (GDPR) [1] and Health Insurance Portability and Accountability Act (HIPAA) [2] stipulate provisions that make such movement difficult.”
- The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification (2021, background): “A major hindrance for accessing these datasets is data siloing due to tedious bureaucratic process, data ownership concerns, and legal considerations reflected in patient privacy regulations, such as the American HIPAA [43] and the European GDPR [44].”
- Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data (2020, background): “This study shows that data-private collaborative learning approaches, and particularly FL, can achieve the full learning capacity of the data while obviating the need to share patient data, and hence facilitate large-scale multi-institutional collaborations, while overcoming technical and data owner”
- 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.”