Intelligent personal health record

Luo, Gang; Tang, Chunqiang; Thomas, Selena B.

doi:10.1145/1882992.1883039

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…Furthermore, it is ideally important to make the series of the above set of processes as a seamless in-process including points for decision making as the market approaches. As concrete instances, they correspond to the processes such as evaluation on adverse effectiveness of new drugs [24], and the acquisition of new knowledge in regards to general healthcare services [25]. The Microsoft CHF architecture includes services for knowledge management and decision support.…”

Section: Mining Functionalitymentioning

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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Section: Mining Functionalitymentioning

confidence: 99%

Cloud Computing Based PHR Architecture Using Multi Layers Model

Kikuchi¹,

Sachdeva²,

Bhalla³

2012

JSEA

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“…There has been considerable work in the area of semantic representation of electronic patient records, both institutional [5] and personal [6], and a variety of different standards exist for the content and structure of these records. Here, we do not intend to prescribe or proscribe any particular standard.…”

Section: Introductionmentioning

confidence: 99%

The SADI Personal Health Lens: A Web Browser-Based System for Identifying Personally Relevant Drug Interactions

Vandervalk¹,

McCarthy²,

Cruz-Toledo³

et al. 2013

JMIR Res Protoc

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BackgroundThe Web provides widespread access to vast quantities of health-related information that can improve quality-of-life through better understanding of personal symptoms, medical conditions, and available treatments. Unfortunately, identifying a credible and personally relevant subset of information can be a time-consuming and challenging task for users without a medical background.ObjectiveThe objective of the Personal Health Lens system is to aid users when reading health-related webpages by providing warnings about personally relevant drug interactions. More broadly, we wish to present a prototype for a novel, generalizable approach to facilitating interactions between a patient, their practitioner(s), and the Web.MethodsWe utilized a distributed, Semantic Web-based architecture for recognizing personally dangerous drugs consisting of: (1) a private, local triple store of personal health information, (2) Semantic Web services, following the Semantic Automated Discovery and Integration (SADI) design pattern, for text mining and identifying substance interactions, (3) a bookmarklet to trigger analysis of a webpage and annotate it with personalized warnings, and (4) a semantic query that acts as an abstract template of the analytical workflow to be enacted by the system.ResultsA prototype implementation of the system is provided in the form of a Java standalone executable JAR file. The JAR file bundles all components of the system: the personal health database, locally-running versions of the SADI services, and a javascript bookmarklet that triggers analysis of a webpage. In addition, the demonstration includes a hypothetical personal health profile, allowing the system to be used immediately without configuration. Usage instructions are provided.ConclusionsThe main strength of the Personal Health Lens system is its ability to organize medical information and to present it to the user in a personalized and contextually relevant manner. While this prototype was limited to a single knowledge domain (drug/drug interactions), the proposed architecture is generalizable, and could act as the foundation for much richer personalized-health-Web clients, while importantly providing a novel and personalizable mechanism for clinical experts to inject their expertise into the browsing experience of their patients in the form of customized semantic queries and ontologies.

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Intelligent Personal Health Record: Experience and Open Issues

Luo¹,

Tang²,

Thomas³

2011

J Med Syst

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Web-based personal health records (PHRs) are under massive deployment. To improve PHR's capability and usability, we previously proposed the concept of intelligent PHR (iPHR). By introducing and extending expert system technology and Web search technology into the PHR domain, iPHR can automatically provide users with personalized healthcare information to facilitate their daily activities of living. Our iPHR system currently provides three functions: guided search for disease information, recommendation of home nursing activities, and recommendation of home medical products. This paper discusses our experience with iPHR as well as the open issues, including both enhancements to the existing functions and potential new functions. We outline some preliminary solutions, whereas a main purpose of this paper is to stimulate future research work in the area of consumer health informatics.

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Intelligent personal health record

Cited by 6 publications

References 19 publications

Cloud Computing Based PHR Architecture Using Multi Layers Model

Cloud Computing Based PHR Architecture Using Multi Layers Model

The SADI Personal Health Lens: A Web Browser-Based System for Identifying Personally Relevant Drug Interactions

Intelligent Personal Health Record: Experience and Open Issues

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