Towards a Business Intelligence Maturity Model for Healthcare

Brooks, Patti; El‐Gayar, Omar F.; Sarnikar, Surendra

doi:10.1109/hicss.2013.560

Cited by 13 publications

(3 citation statements)

References 26 publications

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“…Maturity Models provide a systematic framework to identify the strengths and weaknesses of an organization and enable continuous enhancement in the efficiency of an organization to achieve strategic goals [24][25] [26]. BI maturity Models provide strategic guidelines to enhance efficiency and assessment criteria for data standards and quality services [27][28] [29].…”

Section: Bi Maturity Modelsmentioning

confidence: 99%

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2015

IJIPHM

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Section: Bi Maturity Modelsmentioning

confidence: 99%

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2015

IJIPHM

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“…Healthcare BI projects face even more significant challenges due to the involvement of diverse stakeholders, and the risk-averse and complex nature of the healthcare setting (Standing and Cripps 2015). Brooks et al (2013) point out that unlike BI systems in other industries, healthcare BI systems need to gather data from multiple siloed systems within the organisation as well as external entities because of interoperability requirements in healthcare practices. Adding to the complexity of healthcare BI is the need to integrate financial data and clinical data which are often stored in various formats and have different definitions.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Critical Success Factors for General and Healthcare Business Intelligence Systems

Nguyen

Meredith²,

Burstein³

2018

Australasian Conference on Information Systems 2018

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Critical Success Factor (CSF) research provides a useful instrument for better managing a project and driving it to success. Research about CSFs for business intelligence (BI) systems and industry-specific CSFs have been noted; however, scant research has been conducted to investigate CSFs for healthcare BI projects. This paper adopted a mixed method approach to investigate differences between CSFs of BI systems in general and BI systems in the healthcare industry. We found that although CSFs of healthcare BI are similar to those of general BI, there is a significant overlap between CSFs for BI development and use. This finding supports the intertwined relationship between success of different BI project phases, which has yet been acknowledged in BI and IS success models.

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“…However, the benefits of modern technology and better methods and tools in healthcare cannot be achieved in undisciplined healthcare processes. These are the reasons why maturity models are useful to manage ICT in healthcare organizations [37,47].…”

Section: Healthcare It Maturitymentioning

confidence: 99%

Methodological support to develop interoperable applications for pervasive healthcare

Moraes¹

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The healthcare model currently being used in most countries will soon be inadequate, due to the increasing care costs of a growing population of elderly people, the rapid increase of chronic diseases, the growing demand for new treatments and technologies, and the relative decrease in the number of healthcare professionals with respect to the population increase. This healthcare model, which is centered on highly specialized people, located in large hospitals, needs to change into a distributed model, in order to produce faster responses and to allow patients to manage their own health. This centralized healthcare model also implies that patients and healthcare professionals have to move to the same place (a hospital or clinic) for the healthcare services to be delivered, and it is often expensive and inefficient. A distributed healthcare model that pervades the daily lives of the citizens is more appropriate to provide less expensive and more effective and timely healthcare, and characterizes Pervasive Healthcare. In Pervasive Healthcare, novel information and communication technologies are applied to support the provision of health services anywhere, at anytime and to anyone.This thesis aims at demonstrating the feasibility of using healthcare standards, ubiquitous computing technologies, service-oriented architecture principles, and software agents, to develop interoperable applications for exchanging messages in Pervasive Healthcare environments. This thesis presents a Reusable Architecture and a Message Generator that employ these technologies for achieving its aim. Our Reusable Architecture and Message Generator also meet the requirements of interoperability between heterogeneous healthcare information systems that are usually found in Pervasive Healthcare environments.In this work, a case study was performed in a realistic distributed healthcare environment, where three usage scenarios were defined in the cardiology domain: delivery of laboratory analysis results, schedule of an appointment for pacemaker evaluation, and support of a medical staff II ABSTRACT meeting to prepare for a cardiac surgery. Using the Reusable Architecture and the Message Generator, three applications were built for these scenarios, and they were employed and evaluated by both healthcare professionals and patients. The experiments were conducted in a distributed environment that consists of three cardiology clinics, one analysis laboratory, and the cardiology department of the Santa Casa Hospital of Marília (São Paulo, Brazil). The evaluation of these applications was carried out using the Technology Acceptance Model (TAM), since this model is generally considered as appropriate to explain technology acceptance. The evaluation involved a limited but representative set of healthcare professionals and patients.We showed that the methodology proposed in this thesis truly facilitates the development of Pervasive Healthcare. The proposed methodology preserves the investment in the legacy healthcare information systems and allow...

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Towards a Business Intelligence Maturity Model for Healthcare

Cited by 13 publications

References 26 publications

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A Comparative Study of Critical Success Factors for General and Healthcare Business Intelligence Systems

Methodological support to develop interoperable applications for pervasive healthcare

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