Public standards and patients' control: how to keep electronic medical records accessible but private.

By K. D. Mandl, David Markwell, Rhona MacDonald, Peter Szolovits, Isaac S. Kohane. British medical journal, 2001

303 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Health Information Management, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/705c3207c283ce786d6a47390553d80b9247955a

How researchers see this paper

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

In Artificial Intelligence

1. Gautam Srivastava
2. A. Lippman
3. Asaph Azaria
4. Ariel Ekblaw
5. Dong Zheng

In Health Information Management

1. Gautam Srivastava

Citations in the corpus

• A Decentralized Privacy-Preserving Healthcare Blockchain for IoT (2019, background): “The patient records should be consistent and available across institutional boundaries [18,19].”
• Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective (2020, unknown): “Building and maintaining trust and ensuring privacy are essential for continued participation of patients in a healthcare delivery system [72].”
• MedRec: Using Blockchain for Medical Data Access and Permission Management (2016, background): “This lack of coordinated data management and exchange means health records are fragmented, rather than cohesive [3].”
• Secure Attribute-Based Signature Scheme With Multiple Authorities for Blockchain in Electronic Health Records Systems (2018, background): “Without coordinated data management and exchange, the health records are fragmented instead of cohesive [2].”
• Principles of Health Interoperability HL7 and SNOMED (2009, background): “Unfortunately, most existing EHR systems have incompatible means of acquiring, processing, storing, and communicating data (Mandl et al. 2001).”
• The Emergence of National Electronic Health Record Architectures in the United States and Australia: Models, Costs, and Questions (2005, background): “However, in the realm of health information, the needs of those delivering, regulating, and paying for health care may be at odds with the principles of privacy and confidentiality [12,13].”
• Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption (2019, unknown): “Furthermore, the patient shall always retain the right to not only grant, but also revoke access privileges when they feel it is necessary [7].”
• A Case Study for Blockchain in Healthcare : “ MedRec ” prototype for electronic health records and medical research data (2016, background): “This lack of coordinated data management and exchange means health records are fragmented, rather than cohesive [3].”