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How to improve healthcare? Identify, nurture and embed individuals and teams with "deep smarts"
journal contribution
posted on 2018-01-01, 00:00 authored by K Eljiz, D Greenfield, John MolineuxJohn Molineux, T SloanPurpose Unlocking and transferring skills and capabilities in individuals to the teams they work within, and across, is the key to positive organisational development and improved patient care. Using the "deep smarts" model, the purpose of this paper is to examine these issues. Design/methodology/approach The "deep smarts" model is described, reviewed and proposed as a way of transferring knowledge and capabilities within healthcare organisations. Findings Effective healthcare delivery is achieved through, and continues to require, integrative care involving numerous, dispersed service providers. In the space of overlapping organisational boundaries, there is a need for "deep smarts" people who act as "boundary spanners". These are critical integrative, networking roles employing clinical, organisational and people skills across multiple settings. Research limitations/implications Studies evaluating the barriers and enablers to the application of the deep smarts model and 13 knowledge development strategies proposed are required. Such future research will empirically and contemporary ground our understanding of organisational development in modern complex healthcare settings. Practical implications An organisation with "deep smarts" people - in managerial, auxiliary and clinical positions - has a greater capacity for integration and achieving improved patient-centred care. Originality/value In total, 13 developmental strategies, to transfer individual capabilities into organisational capability, are proposed. These strategies are applicable to different contexts and challenges faced by individuals and teams in complex healthcare organisations.
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Journal
Journal of health organisation and managementVolume
32Issue
1Pagination
135 - 143Publisher
Emerald Publishing LimitedLocation
Bingley, Eng.Publisher DOI
eISSN
1758-7247Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2018, Emerald Publishing LimitedUsage metrics
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