Supply chain automation and the effects on clinician satisfaction and patient care quality in the hospital setting

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Engineering Systems Division.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2006

Author dc:creator

• Xie, Yue, M. Eng. Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Jonathan Byrnes.

• Engineering Systems Division.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/35534

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/35534