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Barriers to adequate healthcare in rural areas remain a grand challenge for local healthcare systems. In addition to patients' travel burdens, lack of health insurance, and lower health literacy, rural healthcare systems also experience significant resource shortages, as well as issues with recruitment and retention of healthcare providers, particularly specialists. These factors combined result in complex change management-focused challenges for rural healthcare systems. Change management initiatives are often resource intensive, and in rural health organizations already strapped for resources, it may be particularly risky to embark on change initiatives. One way to address these change management concerns is by leveraging socio-technical simulation models to estimate techno-economic feasibility (e.g., is it technologically feasible, and is it economical?) as well as socio-utility feasibility (e.g., how will the changes be utilized?). We present a framework for how healthcare systems can integrate modeling and simulation techniques from systems engineering into a change management process. Modeling and simulation are particularly useful for investigating the amount of uncertainty about potential outcomes, guiding decision-making that considers different scenarios, and validating theories to determine if they accurately reflect real-life processes. The results of these simulations can be integrated into critical change management recommendations related to developing readiness for change and addressing resistance to change. As part of our integration, we present a case study showcasing how simulation modeling has been used to determine feasibility and potential resistance to change considerations for implementing a mobile radiation oncology unit. Recommendations and implications are discussed.

The purpose of this paper is to identify, analyze and develop a model to measure the interactions among different factors of organizational readiness for change in service sector specific to healthcare organization. The total interpretive structural modeling (TISM)-based readiness for change is to build a theoretical framework to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.

TISM is used to identify factors that contribute to analyze the readiness state before starting a change implementation process in healthcare. Matrice d’Impacts croises-multiplication applique´ a classement analysis is used to find the driving and dependent factors of change in healthcare.

This paper identified 12 factors of readiness for change from literature review followed by expert interview to understand the inner connection of factors and study inner relationships. The result says that state of affairs, recent trends in healthcare sector, technology advancement and interdependence among departments are key factors for readiness of change.

This research mainly focused on readiness factors for change in the healthcare sector.

This study will be useful for researcher and practitioners to understand the readiness factors for change.

In this research work, TISM-based readiness for the change framework structural model has been proposed for healthcare organizations which is a new effort in the area of organizational change management in this sector.

The outbreak of the COVID-19 pandemic has significantly impacted healthcare systems, presenting unforeseen challenges that necessitated the implementation of change management strategies to adapt to the new contextual conditions. This study aims to analyze organizational changes within the total hip replacement (THR) surgery pathway at multiple levels, including macro, meso and micro. It employs data triangulation from various sources to gauge the complexity of the change process and comprehend how multi-level decision-making influenced an unexpected shift.

A multicentric, single in-depth case study was conducted using a mixed-methods approach. Data sources included patient-reported outcome measures specific to the THR pathway and carefully structured in-depth interviews administered to managers and clinicians in two healthcare organizations serving the same population.

Decisions made at the macro level resulted in an overall reduction in surgical activities. Organizational changes at the meso level led to a complete cessation or partial reorganization of activities. Micro-level actions for change and adaptation revealed diverse and fragmented change management strategies.

Organizations with segmented structures may require a robust and structured department for coordinating change management responses to prevent the entire system from becoming stuck in the absorptive phase of change. However, it is important to recognize that absorptive solutions can serve as a starting point for genuine innovations in change management.

The utilization of data triangulation enables the authors to visualize how specific changes implemented in response to the pandemic have influenced the observed outcomes. From a managerial perspective, it provides insights into how future innovations could be introduced.

The purpose of this paper is to explore the learner styles of a healthcare institution transition team and its respective members within a change management context. In particular we focus on the role of learner style in the success of change efforts within a team setting.

This paper presents a case study that employs a questionnaire survey, non‐participant observation, and semi‐structured interviews as part of a larger study of healthcare change management.

Findings suggest that a mix of learning styles is ideal for successful healthcare change management. Specifically, this limited study suggests a learner ratio that favors convergers and assimilators over divergers and accommodators may be the most effective staffing strategy for change leadership teams in a healthcare environment.

Managing change in healthcare has been researched from a process perspective but few studies examine the individual team members' learner styles and the impact of these learning styles over time. Implications for human resources and change implementation are discussed.

The purpose of this paper is to determine the readiness factors that are critical to the application and success of lean operating principles in healthcare organizations through a review of relevant literature.

A comprehensive review of literature focussing on lean and lean healthcare was conducted.

Leadership, organizational culture, communication, training, measurement, and reward systems are all commonly attributed readiness factors throughout general change management and lean literature. However, directly related to the successful implementation of lean in healthcare is that a setting is able to authorize a decentralized management style and undertake an end-to-end process view. These can be particularly difficult initiatives for complex organizations such as healthcare settings.

The readiness factors identified are based on a review of the published literature. The external validity of the findings could be enhanced if tested using an empirical study.

The readiness factors identified will enable healthcare practitioners to be better prepared as they begin their lean journeys. Sustainability of the lean initiative will be at stake if these readiness factors are not addressed.

To the best of the knowledge, this is the first paper that provides a consolidated list of key lean readiness factors that can guide practice, as well as future theory and empirical research.

Taking a business lens of telehealth, this article aims to review and provide a state-of-the-art overview of telehealth research.

This research conducts a systematic literature review using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol and a collection of bibliometric analytical techniques (i.e. performance analysis, keyword co-occurrence, keyword clustering and content analysis).

Using performance analysis, this article unpacks the publication trend and the top contributing journals, authors, institutions and regions of telehealth research. Using keyword co-occurrence and keyword clustering, this article reveals 10 major themes underpinning the intellectual structure of telehealth research: design and development of personal health record systems, health information technology (HIT) for public health management, perceived service quality among mobile health (m-health) users, paradoxes of virtual care versus in-person visits, Internet of things (IoT) in healthcare, guidelines for e-health practices and services, telemonitoring of life-threatening diseases, change management strategy for telehealth adoption, knowledge management of innovations in telehealth and technology management of telemedicine services. The article proposes directions for future research that can enrich our understanding of telehealth services.

This article offers a seminal state-of-the-art overview of the performance and intellectual structure of telehealth research from a business perspective.

Given the pace of industry change and the rapid diffusion of high reliability organization (HRO) approaches, lags and divergences have arisen between research and practice in healthcare. The purpose of this paper is to explore several of these theory-practice gaps and propose implications for research and practice.

Classic and cutting-edge HRO literature is applied to analyze two industry trends: delivery system integration, and the confluence of patient-as-consumer and patient-centered care.

Highly reliable integrated delivery systems will likely function very differently from classic HRO organizations. Both practitioners and researchers should address conditions such as how a system is bounded, how reliable the system should be and how interdependencies are handled. Additionally, systems should evaluate the added uncertainty and variability introduced by enhanced agency on the part of patients/families in decision making and in processes of care.

Dramatic changes in the sociotechnical environment are influencing the coupling and interactivity of system elements in healthcare. Researchers must address the maintenance of reliability across organizations and the migration of decision-making power toward patients and families.

As healthcare systems integrate, managers attempting to apply HRO principles must recognize how these systems present new and different reliability-related challenges and opportunities.

This paper provides a starting point for the advancement of research and practice in high-reliability healthcare by providing an in-depth exploration of the implications of two major industry trends.

The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry.

Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms.

The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets.

This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.

Clinical governance and leadership concepts can lead to more or less successful implementations of new clinical practice. The purpose of this paper is to examine how Fiery Spirits, as institutional entrepreneurs can, working in a team, implement sustained change in hospital clinical practice.

This paper describes two case studies, conducted at two Swedish hospitals over a period of two years, in which changes in clinical practice were implemented. In both cases, key-actors, termed Fiery Spirits, played critical roles in these changes. The authors use a qualitative approach and take an intra-organizational perspective with semi-structured in-depth interviews and document analysis.

The new clinical practices were successfully implemented with a considerable influence of the Fiery Spirits who played a pivotal role in the change efforts. The Fiery Spirits persuasively, based on their structural and normative legitimacy and the adoption of learning processes, advocated, and supported change.

Fiery Spirits, given flexibility and opportunity, can be powerful forces for change outside the trajectory of management-inspired and management-directed change. Team members, when inspired and encouraged by Fiery Spirits, are less resistant to change and more willing to test new clinical practices.

The paper complements literature on how the Fiery Spirit concept aligns with concepts of clinical governance and leadership and how change can be achieved. Additionally, the findings show the effects of legitimacy and learning processes on change in clinical practice.

Many healthcare institutions, such as hospitals, have recently implemented quality improvement initiatives such as Lean Six Sigma (LSS). However, only a few have sustained the initiatives and remained successful. One of the main reasons for the failure of LSS implementation is that managers tend to view LSS as individual projects. Managers lack a Change Management (CM) focus during the implementation. The primary purpose of this study is to document the implementation of LSS through a CM approach to improve sustainability.

Define-Measure-Analyse-Improve-Control (DMAIC) and the Awareness-Desire-Knowledge-Ability-Reinforcement (ADKAR), a popular CM approach, are combined to propose a new framework. The usefulness of the proposed framework is demonstrated using a case study in a multispeciality hospital located in southern India.

The study found that several factors are responsible for the high Length of Stay (LOS) for patients in the Emergency Department (ED). By implementing this proposed model to implement LSS and taking corrective actions, the average LOS was reduced from 267 to 158 min (a 40% reduction approximately).

The complete step-by-step approach is explained, and the LOS was considerably reduced during the pilot project. The findings will provide valuable insights for healthcare practitioners to understand the steps involved in the combined DMAIC-ADKAR model. The findings would also give healthcare practitioners the confidence to identify suitable tools and implement LSS in organisations where the practitioners work.

According to the authors' knowledge, this is the first study that synergises two models (DMAIC and ADKAR) into a single framework to implement in a hospital.