東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

The clinical document architecture: ...

Smith, Catherine Arnott.

FindBook

Google Book

Amazon

博客來

The clinical document architecture: XML semantic markup for enhanced clinical information retrieval.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The clinical document architecture: XML semantic markup for enhanced clinical information retrieval./
作者:	Smith, Catherine Arnott.
面頁冊數:	388 p.
附註:	Adviser: Ellen Detlefsen.
Contained By:	Dissertation Abstracts International64-01A.
標題:	Health Sciences, Health Care Management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3078880

The clinical document architecture: XML semantic markup for enhanced clinical information retrieval.
Smith, Catherine Arnott.

The clinical document architecture: XML semantic markup for enhanced clinical information retrieval. - 388 p.

Adviser: Ellen Detlefsen.

Thesis (Ph.D.)--University of Pittsburgh, 2002.

<italic>Purpose</italic>. It is proposed that retrieval of clinical documents is facilitated and enhanced when these records conform to a semantic markup structure, specifically that proposed in HL7's Clinical Document Architecture (CDA) model. Hypothesis I: that tagging document elements will result in enhanced retrieval; Hypothesis II: that tagging document elements will result in a difference in relevance scores of two different question tasks.Subjects--Topical Terms:

1017922
Health Sciences, Health Care Management.

The clinical document architecture: XML semantic markup for enhanced clinical information retrieval.
LDR:03583nam 2200313 a 45 001 928312
005 20110426
008 110426s2002 eng d
035 $a (UnM)AAI3078880
035 $a AAI3078880
040 $a UnM $c UnM
100 1 $a Smith, Catherine Arnott. $3 1251773
245 1 0 $a The clinical document architecture: XML semantic markup for enhanced clinical information retrieval.
300 $a 388 p.
500 $a Adviser: Ellen Detlefsen.
500 $a Source: Dissertation Abstracts International, Volume: 64-01, Section: A, page: 0009.
502 $a Thesis (Ph.D.)--University of Pittsburgh, 2002.
520 $a <italic>Purpose</italic>. It is proposed that retrieval of clinical documents is facilitated and enhanced when these records conform to a semantic markup structure, specifically that proposed in HL7's Clinical Document Architecture (CDA) model. Hypothesis I: that tagging document elements will result in enhanced retrieval; Hypothesis II: that tagging document elements will result in a difference in relevance scores of two different question tasks.
520 $a <italic>Setting/subjects</italic>. Ten subjects with varying clinical experience, nine males and one female; 6 were fellows, 2 residents, 1 graduate of medical school beginning residency, and 1 an attending physician/faculty member. Three specialized in internal medicine, two in family medicine, and one each in infectious diseases, geriatrics, and medical informatics; two indicated they did not have a specialization. All were located at the University of Pittsburgh Medical Center.
520 $a <italic>Methodology</italic>. Crossover information retrieval study in which subjects served as their own controls; the document base consisted of 1000 deidentified clinical documents of 8 commonly occurring types in the MARS (Medical Archival Record) System in use at the University of Pittsburgh Medical Center.
520 $a <italic>Results</italic>. Hypothesis I was not supported. No statistically significant differences were found between the control (339.5 seconds ± 287.8) and treatment conditions (400 seconds ± 311.9) in mean time elapsed or the mean number of records in the final result set (control, 4.1 ± 7.8; treatment, 5.2 ± 10.5). However, tasks performed in the tagged treatment condition required a mean number of more steps in the search sequence to a degree that was statistically significant (control, 3.6 ± 2.9; treatment, 21.2 ± 13.2). Differences in precision were additionally investigated. The treatment condition tasks had a statistically significant lower rate of mean precision (control, .92 ± .231; treatment, .79 ± .383). Hypothesis II was also not supported. There was no statistically significant difference between the means of relevance of Type I and Type II questions tasks (Type I, .72 ± .388; Type II, .67 ± .345).
520 $a <italic>Discussion</italic>. The implications of this experiment are primarily for the development of the data model. Inadequacy of existing section headings—labels—for representation of clinical content may account for these negative results. Complex tag sets cannot ultimately resolve problems of unstandardized structure; the lack of structure is itself a significant limitation.
590 $a School code: 0178.
650 4 $a Health Sciences, Health Care Management. $3 1017922
650 4 $a Information Science. $3 1017528
690 $a 0723
690 $a 0769
710 2 0 $a University of Pittsburgh. $3 958527
773 0 $t Dissertation Abstracts International $g 64-01A.
790 $a 0178
790 1 0 $a Detlefsen, Ellen, $e advisor
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3078880