ABSTRACT
Pediatric obstructive sleep apnea (OSA) has been shown to not only affect the quality of sleep, but also overall health in general. Untreated or inadequately treated OSA can lead to long-term sequelae involving cardiovascular, endothelial, metabolic, endocrine, neurocognitive, and psychological consequences. The physiological effects of pediatric OSA eventually become pathological. As the complex effects of pediatric OSA are discovered, they must be identified early so that healthcare providers can be better equipped to treat and even prevent them. Ultimately, adequate management of OSA improves overall quality of life.
ABSTRACT
Web-based personal health records (PHRs) are being widely deployed. To improve PHR's capability and usability, we proposed the concept of intelligent PHR (iPHR). In this paper, we use automatic home medical product recommendation as a concrete application to demonstrate the benefits of introducing intelligence into PHRs. In this new application domain, we develop several techniques to address the emerging challenges. Our approach uses treatment knowledge and nursing knowledge, and extends the language modeling method to (1) construct a topic-selection input interface for recommending home medical products, (2) produce a global ranking of Web pages retrieved by multiple queries, and (3) provide diverse search results. We demonstrate the effectiveness of our techniques using USMLE medical exam cases.
Subject(s)
Equipment and Supplies , Health Records, Personal , Home Care Services/organization & administration , Internet , Medical Records Systems, Computerized/organization & administration , Algorithms , Artificial Intelligence , Humans , Patient Satisfaction , User-Computer Interface , Vocabulary, ControlledABSTRACT
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.
Subject(s)
Artificial Intelligence , Health Records, Personal , Consumer Health Information , Home Nursing , Humans , Information Storage and Retrieval/methods , InternetABSTRACT
Web-based, consumer-centric electronic medical records (CEMRs) are currently undergoing widespread deployment. Existing CEMRs, however, have limited intelligence and cannot satisfy users' many needs. This paper proposes the concept of intelligent CEMR. We introduce and extend expert system and web search technology into the CEMR domain. The resulting intelligent CEMRs can automatically provide users with personalized healthcare information to facilitate their daily activities. We use automatic home medical product recommendation as a concrete application to demonstrate the benefits offered by intelligent CEMRs.