Value and organisational implications of big data and advanced analytics in healthcare: a case survey analysis
by Nishita Mehta; Sharvari Shukla
International Journal of Healthcare Technology and Management (IJHTM), Vol. 19, No. 1, 2022

Abstract: Despite the possibilities of big data and advanced analytics in healthcare, very few organisations have been able to exploit its potential. One of the key reasons is inadequate practical evidence on the clinical and business impact of advanced analytics. To address the issue, this study proposes an advanced analytics healthcare value creation model. The model suggests that well-defined objectives for utilising the technology and readiness of big data analytics capability (BDAC) are rudimentary for organisations' performance enhancement. It establishes four dimensions of robust BDAC - BDA infrastructure, personnel, management and relational BDA capability. In order to test the theoretical model, case survey method was employed. Data from 254 case studies was used to verify its validity. The findings from case synthesis confirm the need of strategic intent and strong BDAC for effective implementation. The results also illuminate the implications of BDA in terms of improved clinical, research and business value.

Online publication date: Tue, 28-Jun-2022

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