Abstract

Formal metrics for monitoring the quality and safety of healthcare have a valuable role, but may not, by themselves, yield full insight into the range of fallibilities in organizations. ‘Soft intelligence’ is usefully understood as the processes and behaviours associated with seeking and interpreting soft data—of the kind that evade easy capture, straightforward classification and simple quantification—to produce forms of knowledge that can provide the basis for intervention. With the aim of examining current and potential practice in relation to soft intelligence, we conducted and analysed 107 in-depth qualitative interviews with senior leaders, including managers and clinicians, involved in healthcare quality and safety in the English National Health Service. We found that participants were in little doubt about the value of softer forms of data, especially for their role in revealing troubling issues that might be obscured by conventional metrics. Their struggles lay in how to access softer data and turn them into a useful form of knowing. Some of the dominant approaches they used risked replicating the limitations of hard, quantitative data. They relied on processes of aggregation and triangulation that prioritised reliability, or on instrumental use of soft data to animate the metrics. The unpredictable, untameable, spontaneous quality of soft data could be lost in efforts to systematize their collection and interpretation to render them more tractable. A more challenging but potentially rewarding approach involved processes and behaviours aimed at disrupting taken-for-granted assumptions about quality, safety, and organizational performance. This approach, which explicitly values the seeking out and the hearing of multiple voices, is consistent with conceptual frameworks of organizational sensemaking and dialogical understandings of knowledge. Using soft intelligence this way can be challenging and discomfiting, but may offer a critical defence against the complacency that can precede crisis.

Highlights

  • Egregious instances of healthcare system failure have occurred globally

  • Our analysis suggests widespread agreement about the importance of soft intelligence among senior leaders of health systems in England, but much less consensus about how best to harvest value from soft data deriving from staff, patients, and carers

  • An unchecked drift into failure (Dekker, 2012) might occur not necessarily through failure to seek out soft data, but rather because of defects in the processes and behaviours involved in generating soft intelligence

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Summary

Introduction

Egregious instances of healthcare system failure have occurred globally They often reach public attention through an event involving a single patientdsuch as the death of Mary McClinton at the Virginia Mason Medical Centre in Seattle, USA (Kaplan and Patterson, 2008)dor sometimes through a catastrophe affecting many, such as the scandal of incompetent surgery at the Bundaberg Hospital in Australia (Van der Weyden, 2005). These kinds of healthcare crisis tend to share structural characteristics with other catastrophic events in demonstrating an unchecked drift into failure (Dekker, 2012). Secrecy and protectionism, and fragmentation of knowledge about problems and responsibility for addressing them, are often implicated in such failures (Turner and Pidgeon, 1997)

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