NDLI: Discovering Blood Donor Arrival Patterns Using Data Mining: A Method to Investigate Service Quality at Blood Centers

Content Provider	Springer Nature Link
Author	Testik, Murat Caner Ozkaya, Banu Yuksel Aksu, Salih Ozcebe, Osman Ilhami
Copyright Year	2010
Abstract	Blood centers without fixed appointments for collecting blood often experience nonconstant donor arrival rates, which vary due to time-of-day, day-of-week, etc. When a constant workforce size is employed in such blood centers, there is either idle personnel, or donor satisfaction is compromised due to long waiting times, or both conditions alternate over time. Consequently, a method to obtain adaptive workforce requirements might be valuable. This study utilized the Two-Step Cluster method and the Classification and Regression Trees method in succession to identify both daily and hourly donor arrival patterns at Hacettepe University Hospitals’ Blood Center. A serial queuing network model of the donation process was then employed for each of the identified donor arrival patterns. By considering and accomodating variations in the donor arrival patterns, required workforce sizes and their decomposition among process steps were predicted to achieve predetermined target values of expected waiting times and to balance workforce utilizations in the blood donation processes. Although a blood center is considered for the proposed methodology, the approach is general and applications in various operations of healthcare organizations are possible.
Starting Page	579
Ending Page	594
Page Count	16
File Format	PDF
ISSN	01485598
Journal	Journal of Medical Systems
Volume Number	36
Issue Number	2
e-ISSN	1573689X
Language	English
Publisher	Springer US
Publisher Date	2010-05-18
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Arrival patterns Adaptive workforce Blood centers Data mining Clustering Classification Queueing networks Health Informatics Statistics for Life Sciences, Medicine, Health Sciences
Content Type	Text
Resource Type	Article
Subject	Health Information Management Information Systems Health Informatics

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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