Diabetes and obesity are chronic diseases that need continuous follow-up. Analysis of the large volumes of patient data collected over time is time consuming and effortful for the physician. Automatic data abstraction and providing a summary of important events in the patient's follow-up history saves the physician's time and helps in making more informed decisions. The purpose of this study was to design an interpreter system that generates a tailored textual report about patients' adherence to a therapeutic regimen. The system has been designed in three phases: determining report structure, interpreting data, and generating textual-graphical reports for the patient and physician. The output report was evaluated by 12 diabetes nutrition specialists and eight diabetic patients. We used a questionnaire and a semi-structured interview approach to assess the quality of the report in terms of content validity, understandability, and practicality.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 email@example.com
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 firstname.lastname@example.org