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

An exploratory method of data retrie...

Baldwin, Karen Brandt.

FindBook

Google Book

Amazon

博客來

An exploratory method of data retrieval from the electronic medical record for the evaluation of quality in healthcare.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An exploratory method of data retrieval from the electronic medical record for the evaluation of quality in healthcare./
作者:	Baldwin, Karen Brandt.
面頁冊數:	116 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1242.
Contained By:	Dissertation Abstracts International65-03B.
標題:	Health Sciences, Nursing. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3126810

An exploratory method of data retrieval from the electronic medical record for the evaluation of quality in healthcare.
Baldwin, Karen Brandt.

An exploratory method of data retrieval from the electronic medical record for the evaluation of quality in healthcare. - 116 p.

Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1242.

Thesis (Ph.D.)--University of Illinois at Chicago, Health Sciences Center, 2004.

Health care organizations are under increasing demands to demonstrate the level of quality in the services they provide from federal, state, regulatory agencies and third party payers. Most healthcare organizations are ill equipped to handle these demands due to the costs in time and manpower needed to retrieve data from health care databases.Subjects--Topical Terms:

1017798
Health Sciences, Nursing.

An exploratory method of data retrieval from the electronic medical record for the evaluation of quality in healthcare.
LDR:03229nmm 2200337 4500 001 1863385
005 20041214145728.5
008 130614s2004 eng d
035 $a (UnM)AAI3126810
035 $a AAI3126810
040 $a UnM $c UnM
100 1 $a Baldwin, Karen Brandt. $3 1950910
245 1 3 $a An exploratory method of data retrieval from the electronic medical record for the evaluation of quality in healthcare.
300 $a 116 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1242.
500 $a Chairperson: Suzanne Feetham.
502 $a Thesis (Ph.D.)--University of Illinois at Chicago, Health Sciences Center, 2004.
520 $a Health care organizations are under increasing demands to demonstrate the level of quality in the services they provide from federal, state, regulatory agencies and third party payers. Most healthcare organizations are ill equipped to handle these demands due to the costs in time and manpower needed to retrieve data from health care databases.
520 $a The medical record is considered a 'gold standard' of clinical databases in health care due to the breadth and depth of clinically relevant data. Data from the electronic medical record (EMR) are often required to demonstrate quality of health care services, although these data are difficult to retrieve without incurring the costs related to the traditional method of manual data retrieval.
520 $a Natural language processing (NLP) presents a framework for understanding and retrieving narrative data from the medical record. Based on concepts of semantics and syntax of language, this framework provides a means for organizing data retrieval using an automated software technology.
520 $a The study method incorporated principles of NLP to guide the automated retrieval of quality of care data from electronic medical records. The purpose of the study was to evaluate the efficiency and effectiveness of the study NLP method, as well as test the reliability and validity of the retrieved data compared to manual retrieval of the same data.
520 $a The study NLP method used a qualitative software program (Nudist) to retrieve and code narrative quality of care data from the EMR. The study NLP method performed with acceptable reliability (.73) when the narrative variables were documented in a consistent format in the EMR. The format of the EMR and consistent narrative format of the documented variables were key factors related to accurate data retrieval using the study NLP system. Although the study NLP method did not perform as well as manual data retrieval in terms of efficiency and accuracy, subsequent trials with the study NLP method data may demonstrate levels of efficiency and reliability to rival manual data retrieval methods. This study demonstrated the potential usefulness of NLP in the retrieval of quality of care data from the EMR.
590 $a School code: 0806.
650 4 $a Health Sciences, Nursing. $3 1017798
650 4 $a Health Sciences, Obstetrics and Gynecology. $3 1020690
650 4 $a Computer Science. $3 626642
650 4 $a Health Sciences, Health Care Management. $3 1017922
690 $a 0569
690 $a 0380
690 $a 0984
690 $a 0769
710 2 0 $a University of Illinois at Chicago, Health Sciences Center. $3 1021703
773 0 $t Dissertation Abstracts International $g 65-03B.
790 1 0 $a Feetham, Suzanne, $e advisor
790 $a 0806
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3126810