HealthPass: Fine-Grained Access Control to Portable Personal Health Records

Steele, Robert; Min, Kyongho

doi:10.1109/aina.2010.176

Cited by 18 publications

(11 citation statements)

References 25 publications

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“…Whilst the LPHS limits the amount of detail of the data flowing to the central server in the interests of maintaining anonymity, this does not preclude the maintenance of far more detailed health-related data on the individual's local device or portable personal health record [20]. More complex analysis of this data can also be carried out locally to benefit the healthcare of that individual [21], without transmitting this more complete data to the LPHS server.…”

Section: Discussion and Future Workmentioning

confidence: 99%

A Sensor-based Learning Public Health System

Steele¹,

Clarke²

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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New smartphone technologies for the first time provide a platform for a new type of on-person, public health data collection and also a new type of informational public health intervention. In such interventions, it is the device via automatically collecting data relevant to the individual's health that triggers the receipt of an informational public health intervention relevant to that individual. This will enable far more targeted and personalized public health interventions than previously possible. However, furthermore, sensorbased public health data collection, combined with such informational public health interventions provides the underlying platform for a novel and powerful new form of learning public health system. In this paper we provide an architecture for such a sensor-based learning public health system, in particular one which maintains the anonymity of its individual participants, we describe its algorithm for iterative public health intervention improvement, and examine and provide an evaluation of its anonymity maintaining characteristics.

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Section: Discussion and Future Workmentioning

confidence: 99%

A Sensor-based Learning Public Health System

Steele¹,

Clarke²

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…However, they mostly do not discuss architectural details. HealthPass [9,10] is a mobile-based PHR system that enables the exchange of PHR data with a physician at the pointof-care. The system uses a Health Certificate Authority to authenticate the entity (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…For access to the mobile PHR, the system uses a Health Certificate Authority to enable the patient and physician to verify and validate each other. The main focus of Steele and Min [10] is to define fine-grained access control to the mobile PHR. Various sensitivity levels are associated with different sections in the PHR.…”

Section: Introductionmentioning

confidence: 99%

A mobile-based architecture for integrating personal health record data

Aboelfotoh

Martin

Hassanein

2014

2014 IEEE 16th International Conference on E-Health Networking, Applications and Services (Healthcom)

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Personal Health Record (PHR) systems provide patients with access to their own records, as well as control over who accesses their record. There are many PHR system providers available on the market. These PHR systems, however, have little means to integrate with healthcare facilities in the healthcare system network. This paper proposes a Personal Health Record (PHR) system solution which allows for exchange of patient data at the point-of-care using the patient's mobile device. The objective is to outline and address the issues that arise when adopting an hybrid PHR architecture that comprises a mobile component and an online remote server component. Preliminary tests are conducted in order to assess the system's usability.

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“…The Markle Foundation () has defined PHR as “an electronic application through which individuals can access, manage and share their health information, and that of others for whom they are authorized, in a private, secure, and confidential environment.” As its definition is still evolving (AHIMA, ; Markle Foundation, ; Pratt, Unruh, Civan, & Skeels, ), currently there is no concrete specification over all the functionalities and objectives that should be included in a PHR. Furthermore, there are several variations as to how it has been named, for example, electronic Personal Health Records (ePHRs) (Bourgeois, Taylor, Emans, Nigrin, & Mandl, ; Choemprayong, Oh, & Sheble, ; Markle Foundation, ; Pagliari, Detmer, & Singleton, ; Simons, Mandl, & Kohane, ; Steele & Min, ; Steinbrook, ; Zeng, Bodenreider, & Nelson, ) or Personal Health Information Management System (PHIMS) (Pratt et al., ; Wang, Lau, Matsen, & Kim, ) or Personally Controlled Electronic Health Records (PCEHR) (DoHA, ).…”

Section: Introductionmentioning

confidence: 99%

Personal health record architectures: Technology infrastructure implications and dependencies

Steele

Min

2012

J Am Soc Inf Sci Tec

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The existing literature in relation to electronic personal health records (PHRs) has typically focused on the discussion of several key issues-namely, their design, functional evaluation, privacy, security and architecture. The benefits of PHRs and barriers preventing their adoption are also widely discussed. These issues are affected by technology infrastructure, and current and planned technology infrastructure deployment will be key determinants in the selection and design of PHR architectures. Assumptions about the community-wide deployment of required technologies such as hardware and internet accessibility are implicit in the architectural selection of PHRs and these dependencies have not been fully appreciated or addressed in the existing literature. This review article introduces and describes two infrastructural drivers-ubiquitous technology baseline for PHRs and connectivity coverage-and examines their inter-relationships with the selected PHR architectures. Eleven functional capabilities are also described, providing a basis for the analysis of the relationships between the two infrastructural drivers and architectural selection.

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HealthPass: Fine-Grained Access Control to Portable Personal Health Records

Cited by 18 publications

References 25 publications

A Sensor-based Learning Public Health System

A Sensor-based Learning Public Health System

A mobile-based architecture for integrating personal health record data

Personal health record architectures: Technology infrastructure implications and dependencies

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