The SADI Personal Health Lens: A Web Browser-Based System for Identifying Personally Relevant Drug Interactions.
JMIR Res Protoc
; 2(1): e14, 2013 Apr 05.
Article
em En
| MEDLINE
| ID: mdl-23612187
ABSTRACT
BACKGROUND:
The 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.OBJECTIVE:
The 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.METHODS:
We 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.RESULTS:
A 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.CONCLUSIONS:
The 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.
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
1_ASSA2030
Base de dados:
MEDLINE
Aspecto:
Patient_preference
Idioma:
En
Revista:
JMIR Res Protoc
Ano de publicação:
2013
Tipo de documento:
Article