Privacy Preserving Index for Encrypted Electronic Medical Records

Horng, Gwoboa; Lin, Yi-Jheng; Chen, Kuo-Chang

doi:10.1007/s10916-013-9992-x

Cited by 12 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The goal of these projects is to yield further insights into human health and disease and to build a framework with which to integrate genomics into standard public healthcare programs in the near future. Data continue to increase at an exponential rate and the need for cross-border exchange of biomedical and healthcare data, cloud-storage, and cloud-computing is inevitable [ 69 , 70 ]. Until many issues of data safety and security are solved, however, local solutions will be favored [ 71 ].…”

Section: Technical Challenges Related To Data Analysis and Computing mentioning

confidence: 99%

Making sense of big data in health research: Towards an EU action plan

et al. 2016

View full text Add to dashboard Cite

Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of “big data” for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.

show abstract

Section: Technical Challenges Related To Data Analysis and Computing mentioning

confidence: 99%

Making sense of big data in health research: Towards an EU action plan

et al. 2016

View full text Add to dashboard Cite

show abstract

“…When users provide an encrypted keyword trapdoor (generated by a keyword selected by the user and her secret key), the server will return matching data in an encrypted format to ensure confidentiality during the data retrieval process. Y.-C. Chen et al (67) identified an index for accessing EHRs by patients and clinicians while still preserving patient privacy using a keyword search over encrypted data. This method is susceptible to keyword guessing attack, in which case an attacker can learn the keyword used to generate the trapdoor.…”

Section: Technologymentioning

confidence: 99%

Privacy Policy and Technology in Biomedical Data Science

Arellano

Dai

Wang

et al. 2018

Annu. Rev. Biomed. Data Sci.

View full text Add to dashboard Cite

Privacyis an important consideration when sharing clinical data, which often contain sensitive information. Adequate protection to safeguard patient privacy and to increase public trust in biomedical research is paramount. This review covers topics in policy and technology in the context of clinical data sharing. We review policy articles related to (a) the Common Rule, HIPAA privacy and security rules, and governance; (b) patients’ viewpoints and consent practices; and (c) research ethics. We identify key features of the revised Common Rule and the most notable changes since its previous version. We address data governance for research in addition to the increasing emphasis on ethical and social implications. Research ethics topics include data sharing best practices, use of data from populations of low socioeconomic status (SES), recent updates to institutional review board (IRB) processes to protect human subjects’ data, and important concerns about the limitations of current policies to address data deidentification. In terms of technology, we focus on articles that have applicability in real world health care applications: deidentification methods that comply with HIPAA, data anonymization approaches to satisfy well-acknowledged issues in deidentified data, encryption methods to safeguard data analyses, and privacy-preserving predictive modeling. The first two technology topics are mostly relevant to methodologies that attempt to sanitize structured or unstructured data. The third topic includes analysis on encrypted data. The last topic includes various mechanisms to build statistical models without sharing raw data.

show abstract

“…The digitization of medical measurement equipment (e.g., blood pressure monitors, blood glucose meters) allows for diagnostic information to be stored electronically and transmitted to remote locations for analysis and monitoring, enabling patients to avoid hospital visits while enabling their health care to closely monitor their status. Such electronic medical records (EMR) [1][2][3] has many advantages over conventional paper medical records, such as easy transmission, high efficiency, better accuracy, and ease of storage. However, their increased convenience raises significant security issues such as patient privacy and data integrity.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Three-Party Authentication Scheme for Data Exchange in Medical Environment

Chiou

Lin

2018

Security and Communication Networks

View full text Add to dashboard Cite

Compared with traditional paper medical records, electronic medical records have many advantages such as easy transmission, high efficiency, better accuracy, and easier storage. The further development and penetration of electronic medical records will raise increasingly critical transmitted-data accuracy and security issues. Previous studies have proposed a verifier-based three-party authentication scheme and to provide high efficiency and security, with low computation and transmission costs. However, this protocol fails to achieve anonymity, is vulnerable to tracking attacks, and is inefficient. In this paper, we propose a new authentication scheme which provides patient anonymity and resistance to tracking attacks, while reducing computation and communication costs. The proposed system is easier to implement and is more suitable for use in remote electronic medical record exchange systems.

show abstract

Privacy Preserving Index for Encrypted Electronic Medical Records

Cited by 12 publications

References 17 publications

Making sense of big data in health research: Towards an EU action plan

Making sense of big data in health research: Towards an EU action plan

Privacy Policy and Technology in Biomedical Data Science

An Efficient Three-Party Authentication Scheme for Data Exchange in Medical Environment

Contact Info

Product

Resources

About