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Content Provider | IEEE Xplore Digital Library |
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Author | Moncur, W. Masthoff, J. Reiter, E. |
Copyright Year | 2008 |
Description | Author affiliation: Sch. of Comput., Univ. of Aberdeen, Aberdeen (Moncur, W.; Masthoff, J.; Reiter, E.) |
Abstract | There is a vast amount of data associated with any one patient. It is challenging for medical staff to understand all this data. It is even harder for a lay person, who may not even know what medical terms mean. The research project BabyTalk-Clan aims to create personalized summaries of data for a lay audience. It uses sensitive, highly-detailed clinical data relating to a patient. This includes medication given, test results, notes made by medical staff, and continuous physiological signals such as heart rate. We took a qualitative approach to knowledge acquisition for user requirements. Using interviews and a focus group within a Grounded Theory methodology, we discovered that most lay users want only a very high-level summary of the baby's state. What lay users do want is information about how the parents are coping, and what support they need. Findings were cross-validated through a questionnaire. |
Starting Page | 443 |
Ending Page | 448 |
File Size | 461684 |
Page Count | 6 |
File Format | |
ISBN | 9780769531656 |
ISSN | 10637125 |
DOI | 10.1109/CBMS.2008.36 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-06-17 |
Publisher Place | Finland |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Pediatrics Biomedical monitoring Heart rate Knowledge acquisition Weather forecasting Medical tests Heart rate measurement Laboratories Terminology Concrete neonatal intensive care Social networks health informatics Grounded Theory knowledge acquisition personalisation |
Content Type | Text |
Resource Type | Article |
Subject | Radiology, Nuclear Medicine and Imaging Computer Science Applications |
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