Cargando…

Beyond metrics? Utilizing ‘soft intelligence’ for healthcare quality and safety

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 interpretin...

Descripción completa

Detalles Bibliográficos
Autores principales: Martin, Graham P., McKee, Lorna, Dixon-Woods, Mary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pergamon 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4576210/
https://www.ncbi.nlm.nih.gov/pubmed/26282705
http://dx.doi.org/10.1016/j.socscimed.2015.07.027
_version_ 1782390859728158720
author Martin, Graham P.
McKee, Lorna
Dixon-Woods, Mary
author_facet Martin, Graham P.
McKee, Lorna
Dixon-Woods, Mary
author_sort Martin, Graham P.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4576210
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Pergamon
record_format MEDLINE/PubMed
spelling pubmed-45762102015-10-26 Beyond metrics? Utilizing ‘soft intelligence’ for healthcare quality and safety Martin, Graham P. McKee, Lorna Dixon-Woods, Mary Soc Sci Med Article 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. Pergamon 2015-10 /pmc/articles/PMC4576210/ /pubmed/26282705 http://dx.doi.org/10.1016/j.socscimed.2015.07.027 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Martin, Graham P.
McKee, Lorna
Dixon-Woods, Mary
Beyond metrics? Utilizing ‘soft intelligence’ for healthcare quality and safety
title Beyond metrics? Utilizing ‘soft intelligence’ for healthcare quality and safety
title_full Beyond metrics? Utilizing ‘soft intelligence’ for healthcare quality and safety
title_fullStr Beyond metrics? Utilizing ‘soft intelligence’ for healthcare quality and safety
title_full_unstemmed Beyond metrics? Utilizing ‘soft intelligence’ for healthcare quality and safety
title_short Beyond metrics? Utilizing ‘soft intelligence’ for healthcare quality and safety
title_sort beyond metrics? utilizing ‘soft intelligence’ for healthcare quality and safety
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4576210/
https://www.ncbi.nlm.nih.gov/pubmed/26282705
http://dx.doi.org/10.1016/j.socscimed.2015.07.027
work_keys_str_mv AT martingrahamp beyondmetricsutilizingsoftintelligenceforhealthcarequalityandsafety
AT mckeelorna beyondmetricsutilizingsoftintelligenceforhealthcarequalityandsafety
AT dixonwoodsmary beyondmetricsutilizingsoftintelligenceforhealthcarequalityandsafety