Patient data and security: an overview

Barber, Barry

doi:10.1016/s1386-5056(98)00006-9

Cited by 15 publications

(8 citation statements)

References 5 publications

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“…According to the main goal of Health Information Exchange (HIE) systems, semantic interoperability is a significant issue in the integration of EHR data in different repositories, and the review articles proposed different methods to provide such interoperability. Policies, such as CEN prENV 1306 policy, required mandating and formulating to be able to provide interoperability (Blobel & Pharow 2007;Barber 1998 (Hsieh & Chen 2012). Broker-based composite EHR authorisation provides interoperability by establishing a small system, and then the Health Information System Broker (HISB) organises the patient data in the local and public databases (Aljarullah & El-Masri 2012).…”

Section: Interoperabilitymentioning

confidence: 99%

A Systematic Literature Review on Security and Privacy of Electronic Health Record Systems: Technical Perspectives

Rezaeibagha

Win

Susilo

2015

HIM J

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Section: Interoperabilitymentioning

confidence: 99%

A Systematic Literature Review on Security and Privacy of Electronic Health Record Systems: Technical Perspectives

Rezaeibagha

Win

Susilo

2015

HIM J

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“…Clinical data exchange within GUA-PA raised several concerns regarding confidentiality of data, particularly in the face of deficient legislation. However, current electronic medical record technology offers the same or greater security and confidentiality of data as do paper records (18)(19)(20) and should suffice to protect data transfer between Mexico and the United States. Also, international regulations of electronic medical records (21) and standardization of laboratory data are being developed (22).…”

Section: Discussionmentioning

confidence: 99%

Technology evaluation of a USA-Mexico health information system for epidemiological surveillance of Mexican migrant workers

Velasco-Mondragón¹,

Martin²,

Chacón-Sosa³

2000

Rev Panam Salud Publica

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From 1994 through 1996, federal, state, and nongovernmental organizations in Mexico and in the United States of America developed and piloted a Binational Health Information System for Epidemiological Surveillance of Mexican migrant workers. The system allowed data exchange for epidemiological surveillance between the state of Guanajuato in Mexico and the Commonwealth (state) of Pennsylvania in the United States, for case detection, prevention, and treatment, through shared contact investigation and case management of communicable diseases. The target population consisted of migrant workers traveling between Guanajuato and Pennsylvania to work mainly in the mushroom industry, and their sexual partners in their Mexican communities of origin. Computerized migrant health information modules were set up in Guanajuato and in Pennsylvania. Patient information and epidemiological surveillance data were encrypted and communicated electronically between the modules, using the WONDER communications system of the U.S. Centers for Disease Control and Prevention. Evaluation of the Guanajuato-Pennsylvania Binational Health Information System showed that major barriers to binational epidemiological surveillance and control are: a) lack of communication binationally; b) interrupted medical care due to migration; c) inconsistent diagnosis and treatment criteria between the two countries; d) lack of referral clinical records from one country to the other; and e) deficient legal regulations concerning binational clinical data transfer. To our knowledge, this is the first project that has successfully demonstrated the technological feasibility of a binational disease control system linking a state in the interior of one country with a state in the interior of another country, rather than just states in the border region. The project also advanced the understanding of health service organizational issues that facilitate or hinder communication, outreach, disease prevention, and organization of health care services for migrant workers in both Mexico and the United States. Despite the unprecedented success and potential bilateral benefits demonstrated by this project, serious structural and organizational deficits in the public health systems of both countries must be addressed before epidemiological surveillance can be achieved binationally.

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“…This scenario can improve the security level of the fingerprint authentication system because the server can be more secure than the client. A server should be protected by the security experts, while a client maintained by an individual user may be more vulnerable to several attacks such as Trojan Horse [12][13][14]. On the other hand, the computational workload of the server in this scenario increases as the number of clients increases.…”

Section: Fingerprint Verification Scenarios For the Large-scale Clienmentioning

confidence: 99%

“…In general, the visible information on the health card may contain the cardholder's name, identification number, birth date, photo, and the card serial number. The contents inside the card can be divided into four segments: basic data, health insurance data, medical data, and public health administration data [13,14]. The basic data segment stores the identification information for both the cardholder and the card itself.…”

Section: Introductionmentioning

confidence: 99%

Integrating Fingerprint Verification into the Smart Card-Based Healthcare Information System

Moon

Chung

Pan

et al. 2009

EURASIP J. Adv. Signal Process.

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Recommended by Stephanie SchuckersAs VLSI technology has been improved, a smart card employing 32-bit processors has been released, and more personal information such as medical, financial data can be stored in the card. Thus, it becomes important to protect personal information stored in the card. Verification of the card holder's identity using a fingerprint has advantages over the present practices of Personal Identification Numbers (PINs) and passwords. However, the computational workload of fingerprint verification is much heavier than that of the typical PIN-based solution. In this paper, we consider three strategies to implement fingerprint verification in a smart card environment and how to distribute the modules of fingerprint verification between the smart card and the card reader. We first evaluate the number of instructions of each step of a typical fingerprint verification algorithm, and estimate the execution time of several cryptographic algorithms to guarantee the security/privacy of the fingerprint data transmitted in the smart card with the client-server environment. Based on the evaluation results, we analyze each scenario with respect to the security level and the real-time execution requirements in order to implement fingerprint verification in the smart card with the client-server environment.

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Patient data and security: an overview

Cited by 15 publications

References 5 publications

A Systematic Literature Review on Security and Privacy of Electronic Health Record Systems: Technical Perspectives

A Systematic Literature Review on Security and Privacy of Electronic Health Record Systems: Technical Perspectives

Technology evaluation of a USA-Mexico health information system for epidemiological surveillance of Mexican migrant workers

Integrating Fingerprint Verification into the Smart Card-Based Healthcare Information System

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