Title:	IDENTIFYING INFORMATION QUALITY PROBLEMS IN A HEALTHCARE SCENARIO
Author(s):	Mary Levis , Malcolm Brady , Markus Helfert
ISBN:	978-972-8924-57-7
Editors:	Miguel Baptista Nunes, Pedro Isaías and Philip Powell
Year:	2008
Edition:	Single
Keywords:	Information Quality, Data Quality, information systems
Type:	Full Paper
First Page:	91
Last Page:	98
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	In addition to adequate healthcare services, patients expect the healthcare service to be supported by effective high quality information systems. However, ensuring information quality is challenging, particularly in the healthcare sector, - an environment composed of a complex set of departments, with stringent needs for Information Quality (IQ). Much evidence exists of widespread poor IQ. On a daily basis the media reports on the impact of poor quality in the healthcare sector. Research provides us with a number of models to assist in management of IQ. This study will focus on the ‘DeLone and McLean’ (D&M) model, because the D&M model has a specific information quality element. We will use this model as a means of highlighting and identifying IQ problems with the information system in a healthcare delivery scenario that indicates lower levels of patients' satisfaction with healthcare services. Our paper also provides an illustrative mapping of a real life scenario onto the D&M Model for IS success, which indicates that many IQ problems are attributed to human factors i.e. resistance to change by some professionals. However while the DM model shows that a variety of relevant attributes of the information system in a healthcare context can be assigned to the six dimensions of the D&M framework, some attributes, in the case of the external user (the patient) did not fit any of the categories and conclude that the patient element which is an important part of an information system is missing from this model.
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