Cookies?
Library Header Image
LSE Research Online LSE Library Services

Organizational and implementation issues of patient data management systems in an intensive care unit

Mitev, Nathalie and Kerkham, Sharon (2001) Organizational and implementation issues of patient data management systems in an intensive care unit. Journal of End User Computing, 13 (3). 20 - 29. ISSN 1546-2234

[img]
Preview
PDF
Download (222kB) | Preview

Abstract

Since the National Health Service reforms were introduced, the NHS has moved towards a greater emphasis on accountability and efficiency of healthcare. These changes rely on the swift delivery of IT systems, implemented into the NHS because of the urgency to collect data to support these measures. The case study details the events surrounding the introduction of a patient data management system into an intensive care unit in a UK hospital. It shows that its implementation was complex and involved organisational issues related to the costing of healthcare, legal and purchasing requirements, systems integration, training and staff expertise, and relationships with suppliers. It is suggested that the NHS is providing an R&D environment which others are benefiting from. The NHS is supporting software development activities that are not recognised, and the true costs of this task are difficult to estimate. It is also argued that introducing PDMS crystallises many different expectations making them unmanageably complex. This could also be due to PDMS being a higher order innovation that attempts to integrate information systems products and services with the core business.

Item Type: Article
Official URL: http://www.igi-global.com/journals/details.asp?id=...
Additional Information: © 2001 Idea Group Publishing
Divisions: LSE
Subjects: R Medicine > R Medicine (General)
Q Science > QA Mathematics > QA76 Computer software
Date Deposited: 29 Jan 2008
Last Modified: 03 Jan 2024 17:24
URI: http://eprints.lse.ac.uk/id/eprint/3030

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics