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°³¿ä ¿ë¾îÀÇ ±âº»°³³ä ÇàÁ¤¿ë¾îü°è ÀÓ»ó¿ë¾îü°è ÀÎÅÍÆäÀ̽º ¿ë¾î biomedical dataÀÇ °³¿ä data acquisition, storage, and use biomedical data
gathering data and interpreting their meaning are central to the health care process
genome information (individual¡¯s risks, prognosis, and likely response to therapy) ¡°big data¡±
clinical/public-health and genomic/proteomic data
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textual data (°ú°Å·Â, ½Åü°ËÁø ¼Ò°ß µî), numerical measurements (°Ë»ç°á°úÄ¡, È°·Â¡ÈÄ µî), genetic information, recorded signals, drawings, photographs or other images
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methods of data acquisition data collection issue what data are needed how frequently are data needed who supplies the data how do you collects the needed data how reliable are the data
1.what data are needed
data content patient id, demographic data diagnostic code, clinical data charge and cost level of detail (granularity)
2.how frequently are data needed
icu: minute ?
lab data hospital vs.long-term care
3.who supplies the data
rn: 47.4%
an: 21.9%
physician: 11.1%
monitoring device: 1.4%
medical information bus (mib) data entry vs.data use
4.how do you collects the needed data
interfaces with the (end) user unstructured: free text
structured data entry forms (templates): free text or coded data
interfaces with devices and instruments ieee medical information bus (p1073)
laboratory, icus, ekg, eeg, radiology, etc.
interfaces with bed-side monitors and devices intelligent (ad-hoc) processes text / image / voice recognition natural language processing (nlp)
5.how reliable are the data
data missing or incorrect (ÀÌÇÏ »ý·«)
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0/5
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