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The purpose of this study is to present a quality improvement approach titled “Picture-Understanding-Action” used in Ireland to enhance the role of healthcare boards in the oversight of healthcare quality and its improvement.

The novel and practical “Picture-Understanding-Action” approach was implemented using the Model for Improvement to iteratively introduce changes across three quality improvement projects. This approach outlines the concepts and activities used at each step to support planning and implementation of processes that allow a board to effectively achieve its role in overseeing and improving quality. This approach matured over three quality improvement projects.

The “Picture” included quantitative and qualitative aspects. The quantitative “Picture” consisted of a quality dashboard/profile of board selected outcome indicators representative of the health system using statistical process control (SPC) charts to focus discussion on real signals of change. The qualitative picture was based on the experience of people who use and work in health services which “people-ised” the numbers. Probing this “Picture” with collective grounding, curiosity and expert training/facilitation developed a shared “Understanding”. This led to “Action(s)” from board members to improve the “Picture” and “Understanding” (feedback action), to ask better questions and make better decisions and recommendations to the executive (feed-forward action). The Model for Improvement, Plan-Do-Study-Act cycles and a co-design approach in design and implementation were key to success.

To the authors’ knowledge, this is the first time a board has undertaken a quality improvement (QI) project to enhance its own processes. It addresses a gap in research by outlining actions that boards can take to improve their oversight of quality of care.

This paper describes a quality improvement project to improve oversight of quality at national board level using statistical process control (SPC) methods, complimented by a qualitative experience of patients and frontline staff. It demonstrates the application of the “Picture-Understanding-Action” approach and shares the lessons learnt.

Using co-design and applying the “Picture-Understanding-Action” approach, the project team supported the directors of the Irish health system to identify and test a qualitative and quantitative picture of the quality of care across the health system. A “Quality Profile” consisting of quantitative indicators, analysed using SPC methods was used to provide an overview of the “critical few” indicators across health and social care. Patient and front-line staff experiences added depth and context to the data. These methods were tested and evolved over the course of six meetings, leading to quality of care being prioritised and interrogated at board level.

This project resulted in the integration of quality as a substantive and prioritised agenda item. Using best practice SPC methods with associated training produced better understanding of performance of the system. In addition, bringing patient and staff experiences of quality to the forefront “people-ised” the data.

The application of the “Picture-Understanding-Action” approach facilitated the development of a co-designed quality agenda item. This is a novel process that shifted the focus from “providing” information to co-designing fit-for-purpose information at board level.

Business intelligence (BI) systems and tools are deemed to be a transformative source with the potential to contribute to reshaping the way different healthcare organizations’ (HCOs) services are offered and managed. However, this emerging field of research still appears underdeveloped and fragmented. Hence, this paper aims to reconciling, analyzing and synthesizing different strands of managerial-oriented literature on BI in HCOs and to enhance both theoretical and applied future contributions.

A literature-based framework was developed to establish and guide a three-stage state-of-the-art systematic literature review (SLR). The SLR was undertaken adopting a hybrid methodology that combines a bibliometric and a content analysis.

In total, 34 peer-review articles were included. Results revealed significant heterogeneity in theoretical basis and methodological strategies. Nonetheless, the knowledge structure of this research’s stream seems to be primarily composed of five clusters of interconnected topics: (1) decision-making, relevant capabilities and value creation; (2) user satisfaction and quality; (3) process management, organizational change and financial effectiveness; (4) decision-support information, dashboard and key performance indicators; and (5) performance management and organizational effectiveness.

To the authors’ knowledge, this is the first SLR providing a business and management-related state-of-the-art on the topic. Besides, the paper offers an original framework disentangling future research directions from each emerged cluster into issues pertaining to BI implementation, utilization and impact in HCOs. The paper also discusses the need of future contributions to explore possible integrations of BI with emerging data-driven technologies (e.g. artificial intelligence) in HCOs, as the role of BI in addressing sustainability challenges.