Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4966587 | International Journal of Medical Informatics | 2017 | 40 Pages |
Abstract
The pathways of patients on chemotherapy are complex. An iterative approach to addressing semantic and data quality issues enabled the effective use of routinely collected patient records to produce accurate models of the real-life experiences of chemotherapy patients and generate clinically useful information. Very few patients experience the idealised patient pathway that is used to plan their care. A better understanding of real-life clinical pathways through process mining can contribute to care and data quality assurance, identifying unmet needs, facilitating quantification of innovation impact, communicating with stakeholders, and ultimately improving patient care and outcomes.
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Authors
Karl Baker, Elaine Dunwoodie, Richard G. Jones, Alex Newsham, Owen Johnson, Christopher P. Price, Jane Wolstenholme, Jose Leal, Patrick McGinley, Chris Twelves, Geoff Hall,