Characterizing Patient-Friendly "Micro-Explanations" of Medical Events
Patients' basic understanding of clinical events has been shown to dramatically improve patient care. We propose that the automatic generation of very short , suitable for real-time delivery in clinical settings, can transform patient care by giving patients greater awareness of key events in t...
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Published in | Proceedings of the SIGCHI Conference on Human Factors in Computing Systems Vol. 2011; p. 29 |
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Main Authors | , , , , |
Format | Journal Article Conference Proceeding |
Language | English |
Published |
United States
07.05.2011
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Subjects | |
Online Access | Get full text |
DOI | 10.1145/1978942.1978948 |
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Summary: | Patients' basic understanding of clinical events has been shown to dramatically improve patient care. We propose that the automatic generation of very short
, suitable for real-time delivery in clinical settings, can transform patient care by giving patients greater awareness of key events in their electronic medical record. We present results of a survey study indicating that it may be possible to automatically generate such explanations by extracting individual sentences from consumer-facing Web pages. We further inform future work by characterizing physician and non-physician responses to a variety of Web-extracted explanations of medical lab tests. |
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DOI: | 10.1145/1978942.1978948 |