In contrast to a single doctor-patient relationship, there are several departments in a hospital. Thus health data may be scattered and can be termed as islands of information. Electronic health records (EHRs) can make healthcare organizations operate more efficiently. These will help in reducing

Electronic Health Records (EHRs) and other temporal databases contain hidden patterns that reveal important cause-and-effect phenomena. Finding these patterns is a challenge when using traditional query languages and tabular displays. We present an interactive visual tool that complements query

platform described in this paper contains tools for dynamic designing of data models and electronic questionnaires, multiple user interfaces for data entry and a universal query engine for filtered output. The platform enables to make database and questionnaire changes on the fly without any manual

to build new templates/forms for data collection over an ex-isting EHR system through a user interface. The system automatically translates the forms to underlying databases while shielding the user from knowing the technical details. A key contribution is that the generated databases are high

. The features of the proposed approach are an embedded fast blocking method with a string matching function that accounts for keystroke mistakes made during data entry of a patient’s name and the addition of a module that dynamically generates blocks of possible associated and unique records. Methods

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of context must be very rich and must encompass a deep understanding of the user and his or her needs and preferences, as well as the availability of resources in a dynamically reconfiguring environment. The spontaneous interaction of devices and the wealth of sensors providing data and detecting events make

an example of use with electronic health records based on our ongoing collaboration with hospital physicians. Then we report on a controlled experiment with 18 participants that compared query-by-filters and query-by-example features. We report on the advantages and disadvantages of each approach

Specifying timestamped event sequence queries is challenging even for skilled computer professionals familiar with SQL. Most graphical user interfaces for database search use a exact search approach, which is often effective, but applies an exact match criteria. We describe a new similarity-based

ABSTRACT: Online databases, also called web databases, comprise the deep web tag and value. Compared with WebPages in the surface web, which can be accessed by using a unique URL, pages in the deep web are dynamically generated in response to a user query submitted through the query interface of a