NFQL: the natural forms query language
ACM Transactions on Database Systems (TODS)
Fundamentals of Database Systems
Fundamentals of Database Systems
An Expert Database Design System Based on Analysis of Forms
IEEE Transactions on Software Engineering
An approach to developing complex database schemas using form types
Software—Practice & Experience
WYSIWYG development of data driven web applications
Proceedings of the VLDB Endowment
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
User-designed information tools to support communication and care coordination in a trauma hospital
Journal of Biomedical Informatics
A hierarchical approach to model web query interfaces for web source integration
Proceedings of the VLDB Endowment
Understanding deep web search interfaces: a survey
ACM SIGMOD Record
Automatically mapping and integrating multiple data entry forms into a database
ER'11 Proceedings of the 30th international conference on Conceptual modeling
Exploiting semantic structure for mapping user-specified form terms to SNOMED CT concepts
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
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Clinicians are becoming increasingly dependent on health information technologies (HIT) in their daily activities, like data collection. However, currently, most HITs are vendor designed systems, which are often inconsistent and inflexible with respect to the needs of the clinicians. Consequently, time and again, the HITs are found to be unfit for the healthcare workflow. A better HIT design is to empower the clinicians with the ability to modify system functionality as per their needs. In this paper, we propose a flexible Electronic Health Record (fEHR) system, which allows clinicians to build new templates/forms for data collection over an existing 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-quality with desirable properties. To test the system usability, we conducted a user study with clinicians working in a nurse-managed health services center. The participants performed the given tasks with 100% effectiveness, within a short span of time, in all but one case; and exhibited an improvement in their understanding of the system. Our study demonstrates that the fEHR system has the potentials of incorporating flexibility into HITs to make them more effective and efficient for healthcare. We show that the fEHR is a favorable environment for clinicians to develop and improve their need-modeling skills.