Understanding business intelligence in the context of healthcare

Abstract

In today's fast changing healthcare sector, decision makers are facing a growing demand for both clinical and administrative information in order to comply with legal and customer-specific requirements. The use of business intelligence (BI) is seen as a possible solution to this actual challenge. As the existing research about BI is primarily focused on the industrial sector, it is the aim of this contribution to translate and adapt the current findings for the healthcare context. For this purpose, different definitions of BI are examined and condensed in a framework. Furthermore, the sector-specific preconditions for the effective use and future role of BI are discussed.

The development of an ICT framework for business intelligence at the Brazilian National Cancer Institute: a case study of organizational learning and innovation

“…Business intelligence (BI) systems are designed to deliver decision-support information and have been continually shown to provide value to organizations (Rohloff, 2011). A useful function of BI is to integrate data from a wide variety of internal and external sources, consequently providing an information platform for healthcare decision makers (Mettler and Vimarlund, 2009).…”

“…On the other hand, they can also select their therapeutic decisions based on the cases of patients that have undergone similar treatment in the past. It appears therefore that the health sector is quite intensive in information as stated by Rohloff (2011) and Mettler and Vimarlund (2009).…”

Untitled

“…A healthcare organization should be aimed at treating patient up to their level of satisfaction as well as achieving desired management outcomes. Two different approaches exist for Business Intelligence in Healthcare: data centric approach and process centric approach [11]. The data-centric approach combine operational data with OLAP tools to achieve effective decision making support by improving the quality of inputs to the decision process at reduced access time [12] which allows the firm to better understand its own capabilities [13].…”

State-of-the-Art Review and Critical Success Factors for Mobile Business Intelligence

“…Therefore, there is a burgeoning need to study which factors affect the adoption of mobile BI. A considerable and growing body of literature has been published on BI, live BI, mobile BI and real-time BI by Azvine et al, (2005), Finnie et al, (2005), Azvine et al, (2006), Azvine et al, (2007), Schneider (2006, Ranjan (2007), Sahay et al, (2008), Arnott (2008), Sajjad et al, (2009), Agrawal (2009), Mettler et al, (2009) and Castellanos et al, (2010. However, after a comprehensive review of the literature, we found very few past studies have explored the CSFs that influence the adoption of mobile BI.…”