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dc.contributor.advisorJonathan Byrnes.en_US
dc.contributor.authorXie, Yue, M. Eng. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2007-01-10T16:34:22Z
dc.date.available2007-01-10T16:34:22Z
dc.date.copyright2006en_US
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/35534
dc.descriptionThesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2006.en_US
dc.descriptionIncludes bibliographical references (leaves 61-63).en_US
dc.description.abstractThe 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.en_US
dc.description.abstract(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.en_US
dc.description.statementofresponsibilityby Yue Xie.en_US
dc.format.extent67 leavesen_US
dc.format.extent3404534 bytes
dc.format.extent3406671 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectEngineering Systems Division.en_US
dc.titleSupply chain automation and the effects on clinician satisfaction and patient care quality in the hospital settingen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc72710465en_US


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