How to improve healthcare? Identify, nurture and embed individuals and teams with "deep smarts".

Purpose 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.

Trialability, observability and risk reduction accelerating individual innovation adoption decisions.

Purpose: The purpose of this paper is to provide a retrospective analysis of computer simulation's role in accelerating individual innovation adoption decisions. The process innovation examined is Lean Systems Thinking, and the organizational context is the imaging department of an Australian public hospital.

Design/methodology/approach: Intrinsic case study methods including observation, interviews with radiology and emergency personnel about scheduling procedures, mapping patient appointment processes and document analysis were used over three years and then complemented with retrospective interviews with key hospital staff.

Combining patient journey modelling and visual multi-agent computer simulation: a framework to improving knowledge translation in a healthcare environment.

This article focuses on a framework that will investigate the integration of two disparate methodologies: patient journey modelling and visual multi-agent simulation, and its impact on the speed and quality of knowledge translation to healthcare stakeholders. Literature describes patient journey modelling and visual simulation as discrete activities. This paper suggests that their combination and their impact on translating knowledge to practitioners are greater than the sum of the two technologies.

Linking team competences to organisational capacities in health care.

Palliative care is a complex environment in which teams of healthcare professionals are constantly challenged to match the configuration of care delivery to suit the dynamics of the patient's bio-medical, social and spiritual situations as they change during the end-of-life process. In such an environment these teams need to engage in ongoing interaction between different professional disciplines, incremental improvement in care delivery, learning and radical innovation. This is aimed at combining operational effectiveness, strategic flexibility, exploitation and exploration, in a way that ensures the best possible care for the patient.