Supply chain automation and the effects on clinician satisfaction and patient care quality in the hospital setting
Name
72710465-MIT.pdf
Description
Full printable version
Size
3.25 MB
Format
Adobe PDF
Checksum (MD5)
5c87741a65fa5a9a7530b89b9791ba3f
Author(s)
Xie, Yue, M. Eng. Massachusetts Institute of Technology
Advisor(s)
Jonathan Byrnes.
Date Issued
2006
Publisher
Massachusetts Institute of Technology
Abstract
The healthcare industry, more specifically hospitals, has in recent times been experiencing a steady rise in nursing shortages and cost pressures. To offset these problems hospitals have increasingly relied upon supply chain automation and the use of Automated Point of Use systems (APU) to relieve nurses of their supply management responsibilities and allow them to focus more of their time on patient care, and therefore increase nursing job satisfaction and patient care quality. However, previous studies on the effectiveness of APUs have shown mixed results. It has been argued that nursing's attitude towards automation implementations plays a role in determining the success of new technologies adoption. This research, based on interviews conducted at BBC hospital, a well regarded multi-specialty academically affiliated institution, and with the help of its supply chain partner Primera, shows that nursing's perceived success of BBC's APU implementation depends on four factors - the ability of the new technology to show timesaving, the availability of supplies when needed, the accessibility of supplies when needed, and the perceived quality of the products supplied.
(cont.) In sum, automation implementations must use workflow process changes to add tangible values that nursing perceives as helping nurses to perform their jobs better and with less stress. As for both the current BBC implementation and any future implementations, this study further recommends methods in achieving these values and therefore increasing nursing acceptance of new technology implementations.
Description
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2006.
Includes bibliographical references (leaves 61-63).
Subjects
Engineering Systems Division.
MIT Department
Massachusetts Institute of Technology. Engineering Systems Division
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