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Innovative approaches are needed for managing risk and system change in healthcare. This paper presents a case study of a project that took place over two years, taking a systems approach to managing the risk of healthcare acquired infection in an acute hospital setting, supported by an Access Risk Knowledge Platform which brings together Human Factors Ergonomics, Data Science, Data Governance and AI expertise. Evidence for change including meeting notes and use of the platform were studied. The work on the project focused on first systematically building a rich picture of the current situation from a transdisciplinary perspective. This allowed for understanding risk in context and developing a better capability to support enterprise risk management and accountability. From there a linking of operational and risk data took place which led to mapping of the risk pattern in the hospital.

Innovative ways of supporting the processes for managing risk, developing accountability and building resilience and system change in healthcare are needed.This paper presents a study that took place over two years, taking a systems approach to managing the risk of healthcare acquired infection in an acute hospital setting, supported by Human Factors Ergonomics, Data Science, Data Governance and AI.The work focused on systematically building a proactive capability to understand all data sources and harness their ability to support the proactive management of the risk of healthcare acquired infection.

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According to historical statistical data, management and organizational factors (MOFs) contribute more to process accidents than technique factors. Under the umbrella of socio-tech system theory, human reliability analysis (HRA) has become a critical part of systemic probability risk analysis. In many HRA techniques, MOFs are among the performance shaping factors (PSFs). However, the interactions and causality of MOFs to human errors are still difficult to quantify and lack validation. To fill these gaps, a framework is proposed, considering data source selection, CBN construction algorithm comparison, and results validation. The case study employed the open access eMARS database as a data source. The optimized hybrid structure learning algorithm and Bayesian criteria parameter learning algorithm are employed to build a Causal Bayesian Network (CBN) of (MOFs) that lead to human error. The proposed kernel CBN is validated through prediction accuracy and sensitivity analysis. For theoretical contribution, the validated kernel BN could generally serve as the heart part of more specific CBNs as a basis for future works. For practical applications, an application shows the model's ability to quantify the contribution of MOFs to system reliability. The results show that human-machine interacting system reliability is most sensitive to organizational factors such as adequate training and procedures.

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Despite growing interest in automated (or algorithmic) decision-making (ADM), little work has been done to conceptually clarify the term. This article aims to tackle this issue by developing a conceptualization of ADM specifically tailored to organizational contexts. It has two main goals: (1) to meaningfully demarcate ADM from similar, yet distinct algorithm-supported practices; and (2) to draw internal distinctions such that different ADM types can be meaningfully distinguished. The proposed conceptualization builds on three arguments: First, ADM primarily refers to the automation of practical decisions (decisions to φ) as opposed to cognitive decisions (decisions that p). Second, rather than referring to algorithms as literally making decisions, ADM refers to the use of algorithms to solve decision problems at an organizational level. Third, since algorithmic tools by nature primarily settle cognitive decision problems, their classification as ADM depends on whether and to what extent an algorithmically generated output p has an action triggering effect-i.e., translates into a consequential action φ. The examination of precisely this p-φ relationship, allows us to pinpoint different ADM types (suggesting, offloading, superseding). Taking these three arguments into account, we arrive at the following definition: ADM refers to the practice of using algorithms to solve decision problems, where these algorithms can play a suggesting, offloading, or superseding role relative to humans, and decisions are defined as action triggering choices.

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The growing use of digital technologies (DTs) has a myriad of implications to socio-technical systems, which are not yet fully recognised. This paper investigates the contributions and drawbacks of DTs to resilient performance (RP), an aspect that so far has received less attention in comparison to others such as efficiency. To this end, a survey questionnaire was applied to 79 academics and practitioners linked to resilience engineering. Data analysis involved descriptive statistics and a thematic analysis of the open-text responses to the survey. Mixed impacts were identified, with 10 themes related to contributions and 16 to drawbacks. Regarding the contributions, the results highlighted the use of DTs for monitoring and anticipating system performance. Machine learning seems to be the most promising approach for this purpose. A key drawback is the need for developing new skills across the workforce so that they can make sense of the outputs of DTs and are aware of their strengths and weaknesses. The human role is expected to remain crucial for RP, which makes the current coordination difficulties with DTs even more important to address. A research agenda composed of five topics is proposed, encompassing description, prescription, and assessment. The agenda emphasizes the need for mapping the attributes or functionalities of DTs onto resilience concepts, models, and frameworks.

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In the digital era, information consumption is predominantly channeled through online news media and disseminated on social media platforms. Understanding the complex dynamics of the news media environment and users' habits within the digital ecosystem is a challenging task that requires, at the same time, large databases and accurate methodological approaches. This study contributes to this expanding research landscape by employing network science methodologies and entropic measures to analyze the behavioral patterns of social media users sharing news pieces and dig into the diverse news consumption habits within different online social media user groups. Our analyses reveal that users are more inclined to share news classified as fake when they have previously posted conspiracy or junk science content and vice versa, creating a series of "misinformation hot streaks". To better understand these dynamics, we used three different measures of entropy to gain insights into the news media habits of each user, finding that the patterns of news consumption significantly differ among users when focusing on disinformation spreaders as opposed to accounts sharing reliable or low-risk content. Thanks to these entropic measures, we quantify the variety and the regularity of the news media diet, finding that those disseminating unreliable content exhibit a more varied and, at the same time, a more regular choice of web-domains. This quantitative insight into the nuances of news consumption behaviors exhibited by disinformation spreaders holds the potential to significantly inform the strategic formulation of more robust and adaptive social media moderation policies.

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Organizational change is a key mechanism to ensure the sustainability of healthcare systems. However, healthcare organizations are persistently difficult to change, and literature is riddled with examples of failed change endeavors. In this chapter, we attempt to unravel the underlying causes for failed organizational change. We distinguish three types of change with different levels of depth that require different change approaches. Transformations are the deepest forms of change where beliefs and principles need to be modified to successfully influence routines. Renewals are deep forms of change where principles need to be modified to successfully influence routines. Improvements are shallow forms of change where only modifications at the level of routines are needed. Using deoxyribonucleic acid (DNA) as our metaphor, we propose a theory of "organizational DNA" to understand organizations and these three types of organizational changes. We posit that organizations are made up of a double helix consisting of a so-called "social string," which contains the "soft" interaction or communication among the organization's members, and a so-called "technical string," which contains "hard" organizational aspects such as structure and technology. Ladders of organizational nucleotides (i.e., Routines, Principles, and Beliefs) connect this double helix in various combinations. Together, the double helix and accompanying nucleotides make up the DNA of an organization. Without knowledge of the architecture of organizational DNA and whether a change addresses beliefs, principles, and/or routines, we believe that organizational change is constrained and based on luck rather than change management expertise. Following this metaphor, we show that organizational change fails when it attempts to change one part of the DNA (e.g., routines) in a way that renders it incompatible with the connecting components (e.g., principles and beliefs). We discuss how the theory can be applied in practice using an exemplar case.

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BACKGROUND: Infection precautions (IP) facilitate standardized and safe patient care. Research has demonstrated several barriers to IP adherence among health care personnel (HCP) but potential exposure risk to SARS-CoV-2 and job role has not been considered. METHODS: Researchers used self-reported baseline surveys with 191 HCPs at a university medical center to examine factors that may have affected IP adherence (eg, personal protective equipment [PPE] and hand hygiene errors) over the 2 weeks prior to the survey. Chi-square tests were used to determine if differences existed first, among job role and IP adherence, and second, the potential risk of exposure to SARS-CoV-2 and IP adherence. A binary logistic regression estimated if PPE nonadherence was associated with COVID-19 stress, job role, and potential exposure risk to SARS-CoV-2. RESULTS: PPE nonadherence varied by job role. Those in the Other group (ie, nonphysician/non-nursing HCP) reported significantly fewer errors (9.6%) compared to Physicians (26.5%) and Registered Nurses (33.3%). Hand/glove hygiene errors between COVID-19 patient rooms varied by job role. Respondents who had higher risks of exposure to SARS-CoV-2 were 5.74 times more likely to experience errors. CONCLUSIONS: The results provide implications for adopting systems-level approaches to support worker knowledge and engagement across job roles to improve IP adherence.

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BACKGROUND: The identification of safety incidents and establishment of systematic methodologies in health services to reduce risks and provide quality care was implemented by The World Health Organization. These safety incidents allowed the visualization of a vast panorama, ranging from preventable incidents to adverse events with catastrophic outcomes. In this scenario, the issue of fall(s) is inserted, which, despite being a preventable event, can lead to several consequences for the patient, family, and the healthcare system, being the second cause of death by accidental injury worldwide, this study aims to identify the variability inherent in the daily work in fall prevention, the strategies used by professionals to deal with it and the opportunities for improvement of the management of work-as-imagined. METHOD: A mixed method approach was conducted, through process modeling and semi-structured interviews. The study was conducted in a public university hospital in southern Brazil. Study steps: modeling of the prescribed work, identification of falls, modeling of the daily work, and reflections on the gap between work-as-done and work-as-imagined. Medical records, management reports, notification records, protocols, and care procedures were consulted for modeling the work process, and semi-structured interviews were conducted with 21 Nursing professionals. The study was conducted between March 2019 and December 2020. RESULTS: From July 2018 to July 2019, 447 falls occurred, 2.7% with moderate to severe injury. The variability occurred in the orientation of the companion and the assurance of the accompanied patient's de-ambulation. The professionals identified individual strategies to prevent falls, the importance of multi-professional work, learning with the work team, and the colleague's expertise, as well as suggesting improvements in the physical environment. CONCLUSION: This study addressed the need for fall prevention in the hospital setting as one of the main adverse events that affect patients. Identifying the variability inherent to the work allows professionals to identify opportunities for improvement, understand the risks to which patients are subjected, and develop the perception of fall risk as a way to reduce the gap between work-as-imagined and work-as-done.

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Background: Vessel Traffic Services (VTS) are considered a subsystem of people, whose mission is to improve the effectiveness and efficiency of maritime transport within the maritime system. VTS operate as a control system where Vessel Traffic Services Operators (VTSOs) must cope with a complex environment to make up for safe and efficient maritime transport, so it is essential to understand how these operators maintain control through adapting to the uncertain and dynamic environment of maritime traffic. This multidisciplinary study explores how human factors within this complex sociotechnical system, means VTS, play a role in maritime safety, specifically focusing on fatigue, which is considered a key variable for VTSOs' performance. In this context, the research has focused on the assessment of fatigue with psychological and operational instruments to highlight the importance of the human element in CSSs. Objective: To study the intra and inter-individual differences in fatigue ratings and their relationships with other personal and environmental variables: mental workload, work shifts, reaction time, and hours of usual sleep. Methods: The study was conducted in two of the 19 Spanish Maritime Rescue Coordination Centers (MRCCs) with a sample of 23 active VTSOs (82.14% of the staff). Both objective and standardized subjective measures were used to assess fatigue and associated sleepiness (Borg RPE, Nasa-TLX, Stanford Sleepiness Scale, and Self-Assessment Manikin Scale). Results: A significant positive correlation between fatigue and mental workload was found, being more prevalent in the night shift, which shows a bigger variation in these variables. A significant difference was found in the increase in fatigue experienced throughout the shift depending on the hours of usual sleep, being smaller in the group of subjects reporting to sleep more. Conclusion: The human element is key to maritime safety related to Vessel Traffic Services, so it is of paramount importance to consider certain measures to counteract the negative effects of fatigue. A proper organization of duties on/off periods, assessment of work and rest schedules, and the implementation of fatigue management programs based on sleep education are recommended.

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BACKGROUND: Telemedicine is becoming integral in primary care hypertension management, and is associated with improved blood pressure control, self-management and cost-effectiveness. This study explored the experiences of patients and healthcare professionals and their perceived barriers and facilitators in implementing and using a technology-enabled blood pressure monitoring intervention with teleconsultation in the Singapore primary care setting. METHODS: This was a qualitative study embedded within the Primary Technology-Enhanced Care Hypertension pilot trial. Patients were selected purposively and invited to participate by telephone; healthcare professionals involved in the trial were invited to participate by email. Individual semi-structured interviews were conducted in English or Mandarin with thirteen patients and eight healthcare professionals. Each interview was audio-recorded and transcribed verbatim. Data were analyzed inductively to identify emergent themes which were then grouped into the dimensions of the socio-technical systems model to study the interactions between the technical, individual and organizational factors involved in the process. RESULTS: Several emergent themes were identified. The factors involved in the implementation and use of the intervention are complex and interdependent. Patients and healthcare professionals liked the convenience resulting from the intervention and saw an improvement in the patient-provider relationship. Patients appreciated that the intervention helped form a habit of regular blood pressure monitoring, improved their self-management, and provided reassurance that they were being monitored by the care team. Healthcare professionals found that the intervention helped to manage workload by freeing up time for other urgent matters. Nevertheless, participants highlighted challenges with usability of the equipment and management portal, data access, and some expressed technology anxiety. Participants suggested patient segmentation for the intervention to be more targeted, wished for a more user-friendly equipment and proposed allocating more resources to the intervention. CONCLUSIONS: The implementation and use of telemedicine for hypertension management can engender various benefits and challenges to patients, healthcare professionals and the healthcare system. Stakeholder feedback gathered on the sociotechnical aspects of the technology should be taken into consideration to guide the design, implementation and evaluation of future telemedicine interventions in primary care. TRIAL REGISTRATION: This study was registered on ClinicalTrials.gov on October 9, 2018. ID: NCT03698890.

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New technology that aims to tackle the systemic and societal problems face challenges bringing together diverse stakeholder perspectives effectively. We evaluate how an emotion-led approach, with a Living Lab process may be effective in these situations. We discuss findings and their implications for this in the context of the development and ongoing maintenance of a web app called "Ask Izzy". Ask Izzy supports people who are homeless or are otherwise disadvantaged by providing information and consequently improving their everyday life and wellbeing. We present a mixed-method evaluation of the web app: firstly, we evaluate impact of key design decisions upon engagement. Secondly, we conducted semi-structured interviews with 30 participants who are either homeless, ex-homeless or service providers and used content analysis. Then we demonstrate that our emotion-led approach brings a novel perspective on concerns from key actors influencing the refinement of the app. The results section outlines emotional goals such as a feeling of control that were important to consider in order to meet the needs of both end users and the wider service provision network. Our study provides recommendations and an approach that may inform others in developing and delivering similar health care and related systems and services.

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Background: Defining key barriers to the development of a well-trained clinical research professional (CRP) workforce is an essential first step in identifying solutions for successful CRP onboarding, training, and competency development, which will enhance quality across the clinical and translational research enterprise. This study aimed to summarize barriers and best practices at academic medical centers related to effective CRP onboarding, training, professional development, identify challenges with the assessment of and mentoring for CRP competency growth, and describe opportunities to improve training and professionalization for the CRP career pathway. Materials/Methods: Qualitative data from a series of Un-Meeting breakout sessions and open-text survey questions were analyzed to explore the complex issues involved when developing high-quality onboarding and continuing education opportunities for CRPs at academic medical centers. Results: Results suggest there are several barriers to training the CRP workforce, including balancing foundational onboarding with role-based training, managing logistical challenges and institutional contexts, identifying/enlisting institutional champions, assessing competency, and providing high-quality mentorship. Several of these themes are interrelated. Two universal threads present throughout all themes are the need for effective communication and the need to improve professionalization of the CRP career pathway. Conclusion: Few institutions have solved all the issues related to training a competent and adaptable CRP workforce, although some have addressed one or more. We applied a socio-technical lens to illustrate our findings and the need for NCATS-funded academic medical centers to work collaboratively within and across institutions to overcome training barriers and support a vital, well-qualified workforce and present several exemplars from the field to help attain this goal.

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BACKGROUND: The importance of virtual work is growing. Especially in knowledge-intensive, dynamic and international sectors, virtual teams have become an ubiquitous work form, promising more flexibility and higher performance. To solve complex problems they have to share and assimilate knowledge, but it is difficult in virtual contexts to overcome social distance and to avoid communication issues. Knowledge sharing in virtual teams may be more prone to errors and take more time. OBJECTIVE: Current studies mainly consider a one-sided perspective, either focusing on technical or human influencing factors for effective knowledge sharing in virtual teams, but not on the interaction between these. This study addresses that gap by exploring success-critical factors for knowledge sharing by using the socio-technical systems-approach. METHODS: The database of the study consists of 26 in-depth interviews. The interviews were partially structured and based on the Critical Incident Technique. Using a deductive categorization scheme consisting of four main categories and 21 subcategories, the frequencies and overlaps of influencing factors on successful knowledge sharing in virtual teams were examined. RESULTS: Each critical incident reported included factors from all four main categories (technology, structure, people and task) with specific frequencies and connections. Structural influencing factors as well as technological factors are mentioned particularly frequently together. CONCLUSION: The results of the study underline the importance of an integrated socio-technical view on knowledge sharing in virtual teams. Technical and social factors need to be considered simultaneously. The findings can be used for designing and optimizing knowledge sharing processes in virtual teams.

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Environmental sustainability issues have become an increasing concern for enterprises and organizations due to new tendencies in climate change. Green supply chain management (GSCM) practices are growing worldwide in this context. Based on socio-technical systems and institutional theory, the present study develops a conceptual model highlighting a mediating effect between two distinct categories of GSCM dimensions, i.e., technical practices and behavioral practices, along with the moderating effect of institutional pressure on organizational performance. Data were collected from 260 Pakistani manufacturers, and the structural equation modeling (SEM) approach was employed to analyze the hypotheses. The classification of technical and behavioral GSCM practices and findings of this research contributes to the literature on GSCM. Empirical results reveal that behavioral practices of GSCM (top management support, supplier, and customer involvement) mediate the relationship between technical GSCM practices (eco-design, green manufacturing, and reverse logistics) and organizational performance (economic, environmental, and social). The results also demonstrate that institutional pressure positively moderates the relationship between technical practices and organizational performance. These findings suggest that organizations in developing countries must focus on the behavioral dimensions of GSCM first for the successful implementation of technical dimensions of GSCM to gain effective environmental, economic, and social performance.

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The scale and pace of improvement in patient safety in healthcare has been unacceptably slow. A paucity of research into the application of systems-thinking concepts and a failure to appreciate health systems complexity are cited as barriers to sustainable health systems improvement. This study reports on a socio-technical systems analysis, called the CUBE, of the characteristics of a large acute teaching hospital's system for the transport of precious specimens, a system enabled by radio-frequency identification tracking technology. The CUBE proved itself to be an effective analytic tool. The analysis provided a constructive framework to link diverse data and documentation; explicitly inviting consideration of the roles and understandings of different stakeholders; as well as broader cultural factors that could influence current or future activity. The analysis also supported recommendations to improve and extend operations. This study supports the argument for systems understanding and systems thinking being at the core of new approaches to patient safety.

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Anaesthesia handoffs are associated with negative outcomes (e.g. inappropriate treatments, post-operative complications, and in-hospital mortality). To minimise these adverse outcomes, federal bodies (e.g. Joint Commission) have mandated handoff standardisation. Due to the proliferation of handoff interventions and research, there is a need to meta-analyze anaesthesia handoffs. Therefore, we performed meta-analyses on the provider, patient, organisational, and handoff outcomes related to post-operative anaesthesia handoff protocols. We meta-analysed 41 articles with post-operative anaesthesia handoffs that implemented a standardised handoff protocol. Compared to no standardisation, a standardised post-operative anaesthesia handoff changed provider outcomes with an OR of 4.03 (95% CI 3.20-5.08), patient outcomes with an OR of 1.49 (95% CI 1.32-1.69), organisational outcomes with an OR of 4.25 (95% CI 2.51-7.19), handoff outcomes with an OR of 8.52 (95% CI 7.05-10.31). Our meta-analyses demonstrate that standardised post-operative anaesthesia handoffs altered patient, provider, organisational, and handoff outcomes. Practitioner Summary: We conducted meta-analyses to assess the effects of post-operative anaesthesia handoff standardisation on provider, patient, organisational, and handoff outcomes. Our findings suggest that standardised post-operative anaesthesia handoffs changed all listed outcomes in a positive direction. We discuss the implications of these findings as well as notable limitations in this literature base.

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Changes in healthcare tend to be project-based with whole system change, which acknowledges the interconnectedness of socio-technical factors, not the norm. This paper attempts to address the question of whole system change posed by the special issue and brings together other research presented in this special issue. A case study approach was adopted to understand the deployment of a whole system change in the acute hospital setting along four dimensions of a socio-technical systems framework: culture, system functioning, action, and sense-making. The case study demonstrates evidence of whole system improvement. The approach to change was co-designed by staff and management, projects involving staff from all specialities and levels of seniority were linked to each other and to the strategic objectives of the organisation, and learnings from first-generation projects have been passed to second and third-generation process improvements. The socio-technical systems framework was used retrospectively to assess the system change but could also be used prospectively to help healthcare organisations develop approaches to whole system improvement.

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As life expectancy continues to increase in most EU Member States, smart technologies can help enable older people to continue living at home, despite the challenges accompanying the ageing process. The Innovation Action (IA) SHAPES 'Smart and Healthy Ageing through People Engaging in Supportive Systems' funded by the EU under the Horizon 2020 Research and Innovation Programme (grant agreement number 857159) attends to these topics to support active and healthy ageing and the wellbeing of older adults. This protocol article outlines the SHAPES project's objectives and aims, methods, structure, and expected outcomes. SHAPES seeks to build, pilot, and deploy a large-scale, EU-standardised interoperable, and scalable open platform. The platform will facilitate the integration of a broad range of technological, organisational, clinical, educational, and social solutions. SHAPES emphasises that the home is much more than a house-space; it entails a sense of belonging, a place and a purpose in the community. SHAPES creates an ecosystem - a network of relevant users and stakeholders - who will work together to scale-up smart solutions. Furthermore, SHAPES will create a marketplace seeking to connect demand and supply across the home, health and care services. Finally, SHAPES will produce a set of recommendations to support key stakeholders seeking to integrate smart technologies in their care systems to mediate care delivery. Throughout, SHAPES adopts a multidisciplinary research approach to establish an empirical basis to guide the development of the platform. This includes long-term ethnographic research and a large-scale pan-European campaign to pilot the platform and its digital solutions within the context of seven distinct pilot themes. The project will thereby address the challenges of ageing societies in Europe and facilitate the integration of community-based health and social care. SHAPES will thus be a key driver for the transformation of healthcare and social care services across Europe.

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Among many influences that the pandemic has and will have on society and the World System as a whole, one of the most important is the acceleration of the start of a new technological wave and a new technological paradigm in the near future. This impact is determined by the growing need for the development of a number of areas in medicine, bio- and nanotechnology, artificial intelligence and others, which we denote as "MANBRIC convergence". It is shown that the experience of dealing with the COVID-19 pandemic has confirmed that the final phase of the Cybernetic Revolution will begin in the 2030s at the intersection of a number of medical, bio, digital and several other technologies, with medical needs as an integrating link. Among the multitude of self-regulating systems in the economy and life (which, in our opinion, will flourish during the Cybernetic Revolution) socio-technical self-regulating systems (SSSs) will play a special role. Thus, COVID-19 becomes a powerful impetus not only in terms of accelerating technological development and approaching the final phase of the Cybernetic Revolution, but also in changing sociopolitical (and socio-administrative) relations in the forthcoming decades.

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Three key challenges to a whole-system approach to process improvement in health systems are the complexity of socio-technical activity, the capacity to change purposefully, and the consequent capacity to proactively manage and govern the system. The literature on healthcare improvement demonstrates the persistence of these problems. In this project, the Access-Risk-Knowledge (ARK) Platform, which supports the implementation of improvement projects, was deployed across three healthcare organisations to address risk management for the prevention and control of healthcare-associated infections (HCAIs). In each organisation, quality and safety experts initiated an ARK project and participated in a follow-up survey and focus group. The platform was then evaluated against a set of fifteen needs related to complex system transformation. While the results highlighted concerns about the platform's usability, feedback was generally positive regarding its effectiveness and potential value in supporting HCAI risk management. The ARK Platform addresses the majority of identified needs for system transformation; other needs were validated in the trial or are undergoing development. This trial provided a starting point for a knowledge-based solution to enhance organisational governance and develop shared knowledge through a Community of Practice that will contribute to sustaining and generalising that change.

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