Abstract
In the last five decades, maturity models have been introduced as reference frameworks for Information System (IS) management in organizations within different industries. In the healthcare domain, maturity models have also been used to address a wide variety of challenges and the high demand for hospital IS (HIS) implementations. The increasing volume of data, is exceeded the ability of health organizations to process it for improving clinical and financial efficiencies and quality of care. It is believed that careful and attentive use of Data Analytics (DA) in healthcare can transform data into knowledge that can improve patient outcomes and operational efficiency. A maturity model in this conjuncture, is a way of identifying strengths and weaknesses of the HIS maturity and thus, find a way for improvement and evolution. This paper presents a proposal to measure Hospitals Information Systems maturity with regard to DA. The outcome of this paper is a maturity model, which includes six stages of HIS growth and maturity progression.
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Notes
- 1.
Design Science Research (or DSR) is a methodology that investigates the generation of knowledge in the artifact design process (highly relevant to information systems research).
- 2.
Data Warehousing - Is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process.
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Carvalho, J.V., Rocha, Á., Vasconcelos, J., Abreu, A. (2018). Health Data Analytics: A Proposal to Measure Hospitals Information Systems Maturity. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_104
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