東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Improving clinical hematopathology q...

Asare, Adam Louis.

Linked to FindBook

Google Book

Amazon

博客來

Improving clinical hematopathology quality using decision support methods.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Improving clinical hematopathology quality using decision support methods./
Author:	Asare, Adam Louis.
Description:	115 p.
Notes:	Source: Dissertation Abstracts International, Volume: 63-05, Section: B, page: 2325.
Contained By:	Dissertation Abstracts International63-05B.
Subject:	Engineering, Biomedical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3052142
ISBN:	0493664475

Improving clinical hematopathology quality using decision support methods.
Asare, Adam Louis.

Improving clinical hematopathology quality using decision support methods. - 115 p.

Source: Dissertation Abstracts International, Volume: 63-05, Section: B, page: 2325.

Thesis (Ph.D.)--University of Missouri - Columbia, 2002.

Clinical hematopathology has the potential to serve as the prototype of the post-genome-era pathology laboratory due to its varied and complex data management needs. Modern hematopathology laboratory testing is multifaceted and includes slide-based image analysis using detection techniques for lymphomas and leukemias, fluid-based sample analysis generating quantitative data, and flow cytometry processing for detection of cell-surface markers. The strategic integration of these analysis techniques for improving decision support to clinical hematopathologists is rarely seen due to a lack of system integration. Current laboratory information systems (LISs) are not effective in providing flexible reporting methods, particularly in integrating various types of data into a single report. Futhermore, LISs are unable to support data exploration (data mining) to further pathology research due to their lack of a cogent data model; much of the data stored within such systems is not readily accessible.

ISBN: 0493664475Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Improving clinical hematopathology quality using decision support methods.
LDR:03425nam 2200301 a 45 001 929996
005 20110427
008 110427s2002 eng d
020 $a 0493664475
035 $a (UnM)AAI3052142
035 $a AAI3052142
040 $a UnM $c UnM
100 1 $a Asare, Adam Louis. $3 1253478
245 1 0 $a Improving clinical hematopathology quality using decision support methods.
300 $a 115 p.
500 $a Source: Dissertation Abstracts International, Volume: 63-05, Section: B, page: 2325.
500 $a Supervisor: Charles W. Caldwell.
502 $a Thesis (Ph.D.)--University of Missouri - Columbia, 2002.
520 $a Clinical hematopathology has the potential to serve as the prototype of the post-genome-era pathology laboratory due to its varied and complex data management needs. Modern hematopathology laboratory testing is multifaceted and includes slide-based image analysis using detection techniques for lymphomas and leukemias, fluid-based sample analysis generating quantitative data, and flow cytometry processing for detection of cell-surface markers. The strategic integration of these analysis techniques for improving decision support to clinical hematopathologists is rarely seen due to a lack of system integration. Current laboratory information systems (LISs) are not effective in providing flexible reporting methods, particularly in integrating various types of data into a single report. Futhermore, LISs are unable to support data exploration (data mining) to further pathology research due to their lack of a cogent data model; much of the data stored within such systems is not readily accessible.
520 $a This research presents the design, implementation, and evaluation of a decision support system for improving outcomes in clinical hematopathology. Integrated reporting among various hematopathology laboratories was achieved through the development of a scalable data model as part of the decision support system (DSS). Using the DSS, laboratory personnel are able to create user-defined data types for clinical, quality assurance, and research endeavors.
520 $a Clinical laboratory quality indicators such as specimen turnaround time, technologist workload, errors and cost were used to measure changes in laboratory performance from the time prior to use of the DSS to the period after implementation. The use of the DSS led to a statistically significant decrease in specimen turnaround time, an increase in workload capacity, and an increase in the number of cases processed per technologist. The application also led to a decrease in cost through a reduction in clerical FTE's. The system's quality assurance algorithms discovered a relationship between specimen processing and flow cytometry data quality that had previously gone unnoticed. The integrated, longitudinal reporting of HIV-1 mRNA viral load and CD4<super>+ </super> T-cell values improved the level of decision support for antiretroviral therapy monitoring in HIV patients. The DSS serves as a foundation for further outcomes based research in clinical hematopathology as newer, higher throughput molecular techniques are used.
590 $a School code: 0133.
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Health Sciences, Pathology. $3 1017854
690 $a 0541
690 $a 0571
710 2 0 $a University of Missouri - Columbia. $3 1017522
773 0 $t Dissertation Abstracts International $g 63-05B.
790 $a 0133
790 1 0 $a Caldwell, Charles W., $e advisor
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3052142