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01000naa a22002652 4500 |
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NLM098643045 |
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DE-627 |
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20231222112456.0 |
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tu |
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231222s1998 xx ||||| 00| ||eng c |
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|a (NLM)9929186
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a van Mulligen, E M
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Clinical data entry
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| 264 |
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1 |
|c 1998
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 16.03.1999
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| 500 |
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|a Date Revised 13.11.2018
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| 500 |
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|a published: Print
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| 500 |
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|a Citation Status MEDLINE
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| 520 |
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|a Routine capture of patient data for a computer-based patient record system remains a subject of study. Time constraints that require fast data entry and maximal expression power are in favor of free text data entry. However, using patient data directly for decision support systems, for quality assessment, etc. requires structured data entry, which appears to be more tedious and time consuming. In this paper, a prototype clinical data entry application is described that combines free text and structured data entry in one single application and allows clinicians to smoothly switch between these two different input styles. A knowledge base involving a semantic network of clinical data entry terms and their properties and relationships is used by this application to support structured data entry. From structured data, sentences are generated and shown in a text processor together with the free text. This presentation metaphor allows for easy integrated presentation of structured data and free text
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| 650 |
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4 |
|a Journal Article
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| 700 |
1 |
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|a Stam, H
|e verfasserin
|4 aut
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| 700 |
1 |
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|a van Ginneken, A M
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Proceedings. AMIA Symposium
|d 1998
|g (1998) vom: 13., Seite 81-5
|w (DE-627)NLM098642928
|x 1531-605X
|7 nnns
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| 773 |
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|g year:1998
|g day:13
|g pages:81-5
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|b 13
|h 81-5
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