ABSTRACT
As a result of the deployment of several major Internet companies including Microsoft [1], WebMD [2], and Office Ally [3] over the past few years, Web-based personal health records (PHRs) have now become widely available to ordinary consumers. These PHR systems enable consumers to actively manage their health records and, subsequently, their health through a Web interface but have limited intelligence and can fulfill only a small portion of users’ health care needs. To improve PHR’s capability and usability, we previously proposed the concept of an intelligent PHR (iPHR) [4-6] by introducing and extending expert system technology, Web search technology, natural language generation technology, database trigger technology, and signal processing technology into the PHR domain.
