scholarly journals Hospitals as complex adaptive systems: A case study of factors influencing priority setting practices at the hospital level in Kenya

2017 ◽  
Vol 174 ◽  
pp. 104-112 ◽  
Author(s):  
Edwine W. Barasa ◽  
Sassy Molyneux ◽  
Mike English ◽  
Susan Cleary
Keyword(s):  
Priority Setting ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Hospital Level ◽  
Factors Influencing ◽  
Complex Adaptive

Information as Change Agent or Barrier in Health Care Reform?

2013 ◽  
pp. 1-17
Author(s):  
Alan C. Gillies ◽  
John Howard
Keyword(s):  
Health Care ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Process Models ◽  
Value Systems ◽  
Care Services ◽  
Primary Care Services ◽  
Complex Adaptive ◽  
Care Systems

Health care systems across the world are in a state of flux. If the experience of the early 1990s can be used as a model, the recent global economic downturn will lead to very significant pressures to reduce spending and achieve better value. Systems have provided a range of approaches to modeling and evaluating these more complex organizations, from simple process models to complex adaptive systems. This paper considers the pros and cons of such approaches and proposes a new modeling approach that combines the best elements of other techniques. This paper also describes a case study, where the approach has been deployed by the authors. The case study comes from health care services in Ontario, Canada, who are shifting from the traditionally hospital-based system to one that recognizes a greater role for community and primary care services.

A Socio-Technical Interpretation of IT Convergence Services

2009 ◽  
pp. 308-328
Author(s):  
Myeong Ho Lee
Keyword(s):  
Complex Adaptive Systems ◽  
Value Chain ◽  
Adaptive Systems ◽  
Actor Network Theory ◽  
Mobile Banking ◽  
Actor Network ◽  
Case Study Analysis ◽  
Complex Adaptive ◽  
Actor Networks

The trend toward convergence, initiated by advances in ICT, entails the creation of new value chain networks, made up by partnerships between actors in unrelated industries. Such a process of convergence, however, can create a new dimension of network complexity, precipitating dynamic behavior among actors. In this paper we seek to understand how different actors in value chain networks have co-evolved in practice with the development of convergence services. Interpretative case studies on two different converged services in Korea (mobile banking, and One phone services) are undertaken to examine how different actor network adapted in different ways to shape the overall complexity of the converged service. The case study analysis is innovative in being conducted within a combined framework of Complex Adaptive Systems and Actor Network Theory. This synthesis offers a way to characterize the drivers of co-evolutionary behavior, capturing the translation processes undergone by actor networks.

scholarly journals Understanding health professional role integration in complex adaptive systems A multiple-case study of Physician Assistants in Ontario, Canada

2019 ◽  
Author(s):  
Kristen Burrows ◽  
Julia Abelson ◽  
Patricia Miller ◽  
Mitch Levine ◽  
Meredith Vanstone
Keyword(s):  
Complexity Theory ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Healthcare Providers ◽  
Physician Assistants ◽  
Role Integration ◽  
Complex Adaptive ◽  
Multiple Case

Abstract Background To meet the complex needs of healthcare delivery, the Ministry of Health and Long Term Care (MOHLTC) introduced Physician Assistants (PAs) into the Ontario health care system in 2006 to help increase access to care, decrease wait times, and improve continuity of care. Integration of new health professional roles is often stymied by role resistance and funding barriers. The characterization of healthcare organizations as complex adaptive systems (CAS) may offer insight into the relationships and interactions that optimize and restrict successful PA integration. The aim of this study is to explore the integration of PAs across multiple case settings and to understand the role of PAs within complex adaptive systems.Methods An exploratory, multiple-case study was used to examine PA role integration in four settings: family medicine, emergency, general surgery, and inpatient medicine. Interviews were conducted with 46 healthcare providers and administrators across 13 hospitals and 6 family medicine clinics in Ontario, Canada. Analysis was conducted in three phases: inductive thematic analysis within each of the four cases; a cross-case thematic analysis; and a broader exploration of cross-case patterns pertaining to specific complexity theory principles of interest.Results Support for PA contributions across various health care settings, the importance of role awareness, supervisory relationship attributes, and role vulnerability (in relation to sustainability and funding) are interconnected and dynamic in hospital and community settings. Findings represent the experiences of PAs and other healthcare providers, and demonstrate how the PA’s willingness to work and ability to build relationships within existing health systems allows for the establishment of interprofessional, collaborative, and person-centered care. As a self-organizing agent in complex adaptive systems (i.e. health organizations), PA role exploration revealed patterns of team behavior, non-linear interconnections, open relationships, dynamic systems, and the legacy of role implementation as defined by complexity theory.Conclusions By exploring the role of PAs across multiple sites, the complexity theory lens concurrently fosters an awareness of emerging patterns, relationships and non-linear interactions within the defined context of the Ontario healthcare system. By establishing collaborative, interprofessional care models in community and hospital settings, PAs are making a significant contribution to Ontario healthcare settings.

scholarly journals Understanding health professional role integration in complex adaptive systems A multiple-case study of Physician Assistants in Ontario, Canada

2020 ◽  
Author(s):  
Kristen Burrows ◽  
Julia Abelson ◽  
Patricia Miller ◽  
Mitch Levine ◽  
Meredith Vanstone
Keyword(s):  
Complexity Theory ◽  
Thematic Analysis ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Healthcare Providers ◽  
Physician Assistants ◽  
Role Integration ◽  
Complex Adaptive ◽  
Multiple Case

Abstract Background To meet the complex needs of healthcare delivery, the Ministry of Health and Long Term Care (MOHLTC) introduced Physician Assistants (PAs) into the Ontario health care system in 2006 to help increase access to care, decrease wait times, and improve continuity of care. Integration of new health professional roles is often stymied by role resistance and funding barriers. The characterization of healthcare organizations as complex adaptive systems (CAS) may offer insight into the relationships and interactions that optimize and restrict successful PA integration. The aim of this study is to explore the integration of PAs across multiple settings and to understand the PA role within complex adaptive systems. Methods An exploratory, multiple-case study was used to examine PA role integration in four settings: family medicine, emergency, general surgery, and inpatient medicine. Interviews were conducted with 46 healthcare providers and administrators across 13 hospitals and 6 family medicine clinics in Ontario, Canada. Analysis was conducted in three phases: inductive thematic analysis within each of the four cases; a cross-case thematic analysis; and a broader exploration of cross-case patterns pertaining to specific complexity theory principles of interest. Results Support for PA contributions across various health care settings, the importance of role awareness, supervisory relationship attributes, and role vulnerability (in relation to sustainability and funding) are interconnected and dynamic in hospital and community settings. Findings represent the experiences of PAs and other healthcare providers, and demonstrate how the PA’s willingness to work and ability to build relationships within existing health systems allows for the establishment of interprofessional, collaborative, and person-centered care. As a self-organizing agent in complex adaptive systems (i.e. health organizations), PA role exploration revealed patterns of team behavior, non-linear interconnections, open relationships, dynamic systems, and the legacy of role implementation as defined by complexity theory. Conclusions By exploring the role of PAs across multiple sites, the complexity theory lens concurrently fosters an awareness of emerging patterns, relationships and non-linear interactions within the defined context of the Ontario healthcare system. By establishing collaborative, interprofessional care models in community and hospital settings, PAs are making a significant contribution to Ontario healthcare settings.

scholarly journals Using Complexity Assessment to Inform the Development and Deployment of a Digital Dashboard for Schizophrenia Care: Case Study (Preprint)

2019 ◽  
Author(s):  
Andreas Gremyr ◽  
Boel Andersson Gäre ◽  
Trisha Greenhalgh ◽  
Ulf Malm ◽  
Johan Thor ◽  
...  
Keyword(s):  
Health Care ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Point Of Care ◽  
Scale Up ◽  
Mental Illnesses ◽  
Complex Adaptive ◽  
Complexity Assessment ◽  
Practical Implications

BACKGROUND Health care is becoming more complex. For an increasing number of individuals, interacting with health care means addressing more than just one illness or disorder, engaging in more than one treatment, and interacting with more than one care provider. Individuals with severe mental illnesses such as schizophrenia are disproportionately affected by this complexity. Characteristic symptoms can make it harder to establish and maintain relationships. Treatment failure is common even where there is access to effective treatments, increasing suicide risk. Knowledge of complex adaptive systems has been increasingly recognized as useful in understanding and developing health care. A complex adaptive system is a collection of interconnected agents with the freedom to act based on their own internalized rules, affecting each other. In a complex health care system, relevant feedback is crucial in enabling continuous learning and improvement on all levels. New technology has potential, but the failure rate of technology projects in health care is high, arguably due to complexity. The Nonadoption, Abandonment, and challenges to Scale-up, Spread, and Sustainability (NASSS) framework and complexity assessment tool (NASSS-CAT) have been developed specifically to help identify and manage complexity in technology-related development projects in health care. OBJECTIVE This study aimed to use a pilot version of the NASSS-CAT instrument to inform the development and deployment of a point-of-care dashboard supporting schizophrenia care in west Sweden. Specifically, we report on the complexity profile of the project, stakeholders’ experiences with using NASSS-CAT, and practical implications. METHODS We used complexity assessment to structure data collection and feedback sessions with stakeholders, thereby informing an emergent approach to the development and deployment of the point-of-care dashboard. We also performed a thematic analysis, drawing on observations and documents related to stakeholders' use of the NASSS-CAT to describe their views on its usefulness. RESULTS Application of the NASSS framework revealed different types of complexity across multiple domains, including the condition, technology, value proposition, organizational tasks and pathways, and wider system. Stakeholders perceived the NASSS-CAT tool as useful in gaining perspective and new insights, covering areas that might otherwise have been neglected. Practical implications derived from feedback sessions with managers and developers are described. CONCLUSIONS This case study shows how stakeholders can identify and plan to address complexities during the introduction of a technological solution. Our findings suggest that NASSS-CAT can bring participants a greater understanding of complexities in digitalization projects in general.

scholarly journals Infrastructure as a Complex Adaptive System

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Edward J. Oughton ◽  
Will Usher ◽  
Peter Tyler ◽  
Jim W. Hall
Keyword(s):  
Systems Theory ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Energy Transport ◽  
System Of Systems ◽  
Infrastructure Systems ◽  
Complex Adaptive ◽  
Infrastructure System ◽  
National Infrastructure

National infrastructure systems spanning energy, transport, digital, waste, and water are well recognised as complex and interdependent. While some policy makers have been keen to adopt the narrative of complexity, the application of complexity-based methods in public policy decision-making has been restricted by the lack of innovation in associated methodologies and tools. In this paper we firstly evaluate the application of complex adaptive systems theory to infrastructure systems, comparing and contrasting this approach with traditional systems theory. We secondly identify five key theoretical properties of complex adaptive systems including adaptive agents, diverse agents, dynamics, irreversibility, and emergence, which are exhibited across three hierarchical levels ranging from agents, to networks, to systems. With these properties in mind, we then present a case study on the development of a system-of-systems modelling approach based on complex adaptive systems theory capable of modelling an emergent national infrastructure system, driven by agent-level decisions with explicitly modelled interdependencies between energy, transport, digital, waste, and water. Indeed, the novel contribution of the paper is the articulation of the case study describing a decade of research which applies complex adaptive systems properties to the development of a national infrastructure system-of-systems model. This approach has been used by the UK National Infrastructure Commission to produce a National Infrastructure Assessment which is capable of coordinating infrastructure policy across a historically fragmented governance landscape spanning eight government departments. The application will continue to be pertinent moving forward due to the continuing complexity of interdependent infrastructure systems, particularly the challenges of increased electrification and the proliferation of the Internet of Things.

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