scholarly journals Re-energising the way we manage change in healthcare: the case for soft systems methodology and its application to evidence-based practice

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Hanna Augustsson ◽  
Kate Churruca ◽  
Jeffrey Braithwaite

Abstract Background Updating, improving and spreading the evidence base for healthcare practices has proven to be a challenge of considerable magnitude – a wicked, multi-dimensional problem. There are many interlinked factors which determine how, why and whether any particular implementation effort or intervention succeeds. Soft Systems Methodology (SSM), strongly grounded in systems ideas and complexity science, offers a structured, yet flexible process for dealing with situations that are perceived as problematical and in need of improvement. The aim of this paper is to propose the use of SSM for managing change in healthcare by way of addressing some of the complexities. The aim is further to illustrate examples of how SSM has been used in healthcare and discuss the features of the methodology that we believe can be harnessed to improve healthcare. Discussion SSM is particularly suited for tackling real world problems that are difficult to define and where stakeholders may have divergent views on the situation and the objectives of change. SSM engages stakeholders in a learning cycle including: finding out about the problematical situation, i.e. the context in which the problem exists, by developing a rich picture of the situation; defining it by developing conceptual models and comparing these with the real world; taking action to improve it by deciding on desirable and feasible improvements; and implementing these in an iterative manner. Although SSM has been widely used in other sectors, it has not been extensively used in healthcare. We make the case for applying SSM to implementation and improvement endeavours in healthcare using the example of getting clinicians at the hospital level to use evidence-based guidelines. Conclusion Applying SSM means taking account of the multi-dimensional nature of care settings, and dealing with entrenched and unique contexts, cultures and socio-political ecosystems – precisely those that manifest in healthcare. There are gains to be made in appreciating complexity and facilitating contextualization of interventions, and by approaching improvements in an iterative learning cycle.

Systems ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 49
Author(s):  
Sadaf Salavati ◽  
Anita Mirijamdotter ◽  
Patrik Elm ◽  
Miguel Perez

This paper discusses the coordinated use of the Soft Systems Methodology (SSM) learning cycle with additional bodies of knowledge. This approach furthers focused understanding and appreciation for taking action within social systems. Adapting the SSM learning cycle extends the richness of the real-world situation understood from an analytic soft systems perspective to encompass the appreciation of a problematical situation using additional bodies of knowledge to explain and explore. Examples illustrate using SSM to foster learning and improve teaching in a research education practice, in a national level research project and, further, in professional in-service at advanced level education.


Soft systems methodology (SSM) is the outcome of a real-world action research program that uses the idea of systems to improve poorly defined, so-called soft problem areas. Theory and practice of SSM arouse interest and encourage discussions from various backgrounds by academics and practitioners. In order to introduce SSM for use in the real world, this chapter begins with different definitions and methodologies of systems thinking. Then, SSM defines the seven technical analysis steps, including the soft systems thinking and the necessary techniques such as rich picture, CATWOE analysis, root definition, and conceptual modeling. SSM has organizational analysis and practical applications in the industry sector that are reviewed and classified.


2020 ◽  
Vol 10 (1) ◽  
pp. 86-99
Author(s):  
Lewis Tsuro ◽  
Stan Hardman

The Soft Systems Methodology (SSM) was developed as a set of tools for identifying and making incremental steps to improve situations with poorly defined causes or solutions. The supply chain forms a key process of any construction project; however, on any given construction site, supply chain inefficiencies could arise from many different avenues. Opinions vary, though, on which of these avenues is more important for increasing supply chain efficiencies; whether any problem even exist across the different aspects of the supply chain; as well as what steps should be taken to resolve them. It was therefore studied, here, whether SSM could be employed as a useful tool to systematically apply in the supply chains of a construction project in South Africa, for understanding and targeting the problematic situations that arise. Following thorough cyclical open-ended interviews with 17 workers, supervisors, foremen, site clerks, senior managers, and the CEO of the principal contractor at a new office park construction project in Rosebank, Johannesburg, and a thematic analysis of the data, SSM was performed to understand the existing challenges, and develop a suitable model for improvement. The study found that SSM was a good tool for understanding the ‘messy’ circumstances surrounding the chosen construction project supply chain, as well as actions that could be taken to improve the supply chain’s efficiency on site. The findings add weight to the argument that SSM could be a good tool for project managers to systematically introduce into their project planning regimens


2012 ◽  
Vol 8 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Geoffrey Karokola ◽  
Louise Yngström ◽  
Stewart Kowalski

E-Government offers many benefits to government agencies, citizens and the business community. However, e-Government services are prone to current and emerging security challenges posing potential threats to critical information assets. Securing it appears to be a major challenge facing governments globally. Based on the international security standards – the paper thoroughly investigates and analyzes eleven e-government maturity models (eGMMs) for security services. Further, it attempts to establish a common frame of reference for eGMM critical stages. The study utilizes the Soft Systems Methodology (SSM) of scientific inquiry/ learning cycle adopted from Checkland and Scholes. The findings show that security services (technical and non-technical) are lacking in eGMMs – implying that eGMMs were designed to measure more quantity of offered e-government services than the quality of security services. Therefore, as a step towards achieving secure e-government services the paper proposes a common frame of reference for eGMM with five critical stages. These stages will later be extended to include the required security services.


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