Inpatient Preanalytic Process Improvements

被引:4
|
作者
Wagar, Elizabeth A. [1 ]
Phipps, Ron [2 ]
Del Guidice, Robert [1 ]
Middleton, Lavinia P. [3 ]
Bingham, John [4 ]
Prejean, Cheryl [1 ]
Johnson-Hamilton, Martha [2 ]
Philip, Pheba [5 ]
Ngoc Han Le [2 ]
Muses, Waheed [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Lab Med, Houston, TX 77030 USA
[2] Univ Texas MD Anderson Canc Ctr, Dept Pathol & Lab Med Qual Improvement, Houston, TX 77030 USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Pathol, Houston, TX 77030 USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Performance Improvement, Houston, TX 77030 USA
[5] Univ Texas MD Anderson Canc Ctr, Dept Qual Measurement & Engn, Houston, TX 77030 USA
关键词
PATHOLOGISTS Q-PROBES; PATIENT SAFETY; IDENTIFICATION ERRORS; LABORATORY MEDICINE;
D O I
10.5858/arpa.2012-0458-OA
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Context.-Phlebotomy services are a common target for preanalytic improvements. Many new, quality engineering tools have recently been applied in clinical laboratories. However, data on relatively few projects have been published. This example describes a complete application of current, quality engineering tools to improve preanalytic phlebotomy services. Objectives.-To decrease the response time in the preanalytic inpatient laboratory by 25%, to reduce the number of incident reports related to preanalytic phlebotomy, and to make systematic process changes that satisfied the stakeholders. Design.-The Department of Laboratory Medicine, General Services Section, at the University of Texas MD Anderson Cancer Center (Houston) is responsible for inpatient phlebotomy in a 24-hour operation, which serves 689 inpatient beds. The study director was project director of the Division of Pathology and Laboratory Medicine's Quality Improvement Section and was assisted by 2 quality technologists and an industrial engineer from MD Anderson Office of Performance Improvement. Results.-After implementing each solution, using well-recognized, quality tools and metrics, the response time for blood collection decreased by 23%, which was close to meeting the original responsiveness goal of 25%. The response time between collection and arrival in the laboratory decreased by 8%. Applicable laboratory-related incident reports were reduced by 43%. Conclusions.-Comprehensive application of quality tools, such as statistical control charts, Pareto diagrams, value-stream maps, process failure modes and effects analyses, fishbone diagrams, solution prioritization matrices, and customer satisfaction surveys can significantly improve preset goals for inpatient phlebotomy.
引用
收藏
页码:1753 / 1760
页数:8
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