Using less keystrokes to achieve high top-1 accuracy in Chinese clinical text entry
Background As a routine task, physicians spend substantial time and keystrokes on text entry. Documentation burden is increasingly associated with physician burnout. Predicting at top-1 with less keystrokes (TLKs) is a hot topic for smart text entry. In Western countries, contextual autocomplete is...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-05-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076231179027 |