Web Technology and Architecture for Personal Health Records

Ogbuji, Chimezie; Gomadam, Karthik; Petrie, Charles

doi:10.1109/mic.2011.99

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…Other scholars have gone beyond that, noting that "simply providing online access to medical records is not useful unless the technology is integrated with the patient's existing health and psychosocial support infrastructure" (Archer et al, 2011). That said, one must remember that only healthcare providers can access and maintain EHRs, while patients themselves access and maintain PHRs (Ogbuji et al, 2011).…”

Section: % Of Physiciansmentioning

confidence: 99%

Using the technology acceptance model to predict patient attitude toward personal health records in regional communities

Razmak

Bélanger

2018

ITP

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Purpose The purpose of this paper is to statistically measure (quantify) how a sample of Canadians perceives the usability of electronic personal health records (PHRs) and, in the process, to increase Canadian patients’ awareness of PHRs and improve physicians’ confidence in their patients’ ability to manage their own health information through PHRs. Design/methodology/approach The authors surveyed 325 Canadian patients living in Northern Ontario to assess a research model consisting of seven perceptions of PHR systems used to manage personal health information electronically, and to assess their perceived ability to use PHR systems. The survey questions were adapted from the 2014 National Physician Survey in Canada. The authors compared the patients’ results with physicians’ own perceptions of their patients’ ability to use PHR systems. Findings First, there was a positive relationship between surveyed patients’ prior experiences, needs, values, and their attitude toward adopting the PHR system. Second, how patients saw a PHR system’s user-friendliness was the strongest predictor of how useful they considered it would be. Finally, of the 243 physician respondents, 90.3 percent believed their patients would not be able to manage their own e-health information via a PHR system, but 54.8 percent of the 325 patient respondents indicated they would be able to do so. Originality/value This study is unique in that the authors know of no other Canadian study that purports to predict, using the technology acceptance model factors, people’s attitudes toward adopting a PHR system. As well, this is the first Canadian study to compare the perspectives of healthcare providers and their patients on e-health applications.

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Section: % Of Physiciansmentioning

confidence: 99%

Using the technology acceptance model to predict patient attitude toward personal health records in regional communities

Razmak

Bélanger

2018

ITP

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“…A number of recent efforts have summarized the current implementations and remaining challenges [30,31], and documented new techniques and approaches to improve PHR [32,33] and PHS [29]. Brennan et al [31], for example, reported on the Project HealthDesign approach to developing personal health records as a platform for action in support of personal health.…”

Section: Personal Health Information Systemsmentioning

confidence: 99%

Toward Patient-Centered, Personalized and Personal Decision Support and Knowledge Management: A Survey

Leong¹

2012

Yearb Med Inform

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SummaryThis paper summarizes there cent trends and highlights the challenges and opportunities in decision support and knowledge management for patient-centered, personalized, and personal healthcare.The discussions are based on a broad survey of related references, focusing on the most recent publications. Major advances are examined in the areas of i) shared decision making paradigms, ii) continuity of care infrastructures and architectures, iii) human factors and system design approaches, iv) knowledge management innovations, and v) practical deployment and change considerations.Many important initiatives, projects, and plans with promising results have been identified. The common themes focus on supporting the individual patients who are playing an increasing central role in their own care decision processes. New collaborative decision making paradigms and information infrastructure sare required to ensure effective continuity of care. Human factors and usability are crucial for the successful development and deployment of the relevant systems, tools, and aids. Advances in personalized medicine can be achieved through integrating genomic, phenotypic and other biological, individual, and population level information, and gaining useful insights from building and analyzing biological and other models at multiple levels of abstraction. Therefore, new Information and Communication Technologies and evaluation approaches are needed to effectively manage the scale and complexity of biomedical and health information, and adapt to the changing nature of clinical decision support.Recent research in decision support andknowledge management combines heterogeneous information and personal data to provide cost-effective, calibrated, personalized support in shared decision making at the point of care. Current and emerging efforts concentrate on developing or extendingconventional paradigms, techniques, systems,and architectures for the newpredictive, preemptive, and participatory healthcare model for patient-centered, personalized medicine. There is also an increasing emphasis on managing complexity with changing care models, processes, and settings.

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“…Major EHR vendors provide a host of conventional client/server offerings, but more Cloud-based health IT options are becoming available. Based on this situation, Personal Health Record (PHR) has been proposed, and has greatly captured our attentions [1]. In particular, in the industry Google Health [2] and Microsoft HealthVault [3] were launched (However, Google Health was discontinued as of January 2, 2012).…”

Section: Introductionmentioning

confidence: 99%

Cloud Computing Based PHR Architecture Using Multi Layers Model

Kikuchi¹,

Sachdeva²,

Bhalla³

2012

JSEA

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There are important requirements for the adoption of innovative practices in the medical area. In this context, Personal Health Records have been proposed and some services have already been launched. However so far, there have been only a few studies in regards to applying Cloud architecture for PHR, despite the occurrence of a large volume of data. In particular, the existing studies tend to remain at applying them partly, instead of a full adoption based on the architectural characteristics of the service models. In this paper, we clarify the result of the general architecture design by applying the Cloud components for supporting healthcare record areas and highlight the required conditions to realize it. Through the proposed considerations the requirement for the new techniques of query processing has been identified as one of the critical factors, that are combined with several items such as managing semantic interoperability, managing service level agreement and secret sharing, Accordingly, we propose the primary work for building the standardized, detailed and more sophisticated architecture

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Web Technology and Architecture for Personal Health Records

Cited by 5 publications

References 4 publications

Using the technology acceptance model to predict patient attitude toward personal health records in regional communities

Using the technology acceptance model to predict patient attitude toward personal health records in regional communities

Toward Patient-Centered, Personalized and Personal Decision Support and Knowledge Management: A Survey

Cloud Computing Based PHR Architecture Using Multi Layers Model

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