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This paper aims to present a systematic literature review (SLR) to investigate how supply chain risk management (SCRM) is applied to the healthcare supply chains and which improvement opportunities are being missed in this segment.

This SLR used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method to answer three research questions: (1) Which are the main gaps concerning healthcare supply chain risk management (HCSCRM)? (2) What is the definition of HCSCRM? and (3) What are the risk management techniques and approaches used in healthcare supply chains?

The authors present a complete summary of the HCSCRM body of research, investigating research strings like clinical engineering and high reliability organizations (HROs) and its relations with HCSCRM; (1) This research revealed the five pillars of HCSCRM; (2) The authors proposed a formal definition for HCSCRM considering all the literature blocks explored and (3) The authors generated a list of risks present in healthcare supply chains resulting from extensive article research.

The authors only reviewed international journal articles (published in the English language), excluding conference papers, dissertations and theses, textbooks, book chapters, unpublished articles and notes. In addition, the study did not thoroughly investigate specific countries' particularities concerning how the healthcare providers are organized.

The contribution of this article is threefold: (1) To the best of authors knowledge, there is no other SLR about HCSCRM published in the scientific literature by the time of realization of authors’ work, suggesting that is the first effort to fulfill this research gap; (2) Following the previous contribution, in this work the authors propose a first formal definition for HCSCRM and (3) The authors analyzed concepts such as clinical engineering and HROs to establish the building blocks of HCSCRM.

Purpose – This paper seeks to look at healthcare service quality from the viewpoint of its negative impact on the industry when there is a deficiency in the delivery of service quality. To measure this impact, the potential loss of customers due to poor quality service is measured. A potential customer loss model is proposed. To address the competitive and financially driven healthcare delivery business, a three‐pillar approach, termed the Excellent Healthcare Service Model (EHSM), is introduced. This approach advocates that the healthcare industry should use a system view to deliver quality healthcare by taking into account quality, cost, and efficiency factors in a holistic manner. Design/methodology/approach – In this paper a survey questionnaire was used to gather data necessary to compute impact of deficient healthcare service. The questionnaire was administered to a sample of 400 people and the survey method used was intercept interview. Customer loss and potential customer loss due to deficient service were computed. Findings – In this paper, findings from the research indicated that, in the healthcare industry, for every 100 customers that experienced deficient service, about 70 customers would be unlikely to patronize the same organization again. In addition, for the same 100 customers who have experienced deficient service, about 75 of them will go on to tell on average nine family members and friends about their experiences. Through word of mouth from these 75 dissatisfied customers, there will eventually be about 465 persons who might have been potential customers but will probably not patronize the organization at all based on what the dissatisfied customers have told them. Practical implications – The ideas presented in this paper provide a new way of looking at service quality performance, through the impact of deficient service. With this knowledge, economic impacts of poor service quality could easily be quantified, and such economic‐based results are usually a better motivator for managers and workers to deploy quality improvement initiatives. Originality/value – The results and ideas presented in this paper are valuable for the healthcare industry. It provides an alternative approach to quantify service quality performance. The paper also proposes a system‐based approach to enhance service process performance.

Strategy scholars have theorized that a firm's strategic leaders play an important role in firm dynamic capabilities (DCs). However, little research to date has studied how leaders shape the development of DCs. This inductive theory-building study sheds new light on the multilevel architecture of DCs by uncovering that the three core DCs – sensing, seizing, and reconfiguring – operate through distinct individual, group, and organizational processes. Further, the role of strategic leadership is critical as organizational processes create DCs only when they are purposefully designed by firms' strategic leaders to enable change and opportunity pursuit. Whether strategic leaders design processes for change and opportunity pursuit, in turn, reflects the extent to which they view change as positive and desirable. Our insights about the role of strategic leaders' positive attitude toward change as an important aspect of firm DCs uncover new interconnections between strategic leadership, organizational design, and the micro-foundations of DCs. Collectively our findings about the role of positive attitude toward change, the purposeful design of processes for change, and the varying manifestations of these processes at different levels of analysis reveal the coupling of strategic and organizational processes in enabling strategic dynamism and change.

Healthcare supply chains (HCSCs) face severe challenges when compared to regular chains. Besides avoiding bankruptcy, they must accomplish their goal which is to save lives. Since 2019 the COVID-19 pandemic evidenced that a HCSC disruption generates disruptions to other SCs. Therefore, the objective of this paper is threefold: conduct a systematic literature review to build a HCSC operational excellence (HSCOE) definition; build a conceptual framework by mapping the antecedents of HSCOE and formulate hypotheses; test the hypotheses using a fuzzy-Set Qualitative Comparative Analysis (fsQCA) combined with partial least squares structural equation modeling (PLS-SEM) techniques to obtain empirical validation.

Given this context, this paper conducted a systematic literature review to build a HSCOE conceptual framework and used a fsQCA combined with PLS-SEM techniques to obtain empirical validation.

The paper revealed a relationship between important variables to achieve HSCOE, such as Supply chain 4.0, SC risk management, SC integration, SC resilience (antecedents) and HSCOE (consequent).

The literature contributions of this paper are as follows: validating a new scale for each of the constructs; finding evidence of the causal relationships between the latent variables; measuring how the constructs influence the HSCOE; in addition, the results address important literature gaps identified by researchers and serve as a guide to organizations that need to implement these practices. Furthermore, this study recommends that HCSC managers consider the implementation of robust initiatives concerning the latent variables presented in this work.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

Failure to rescue events, or events involving preventable deaths from complications, are a significant contributor to inpatient mortality. While many interventions have been designed and implemented over several decades, this patient safety issue remains at the forefront of concern for most hospitals. In the first part of this study, the development and implementation of one type of highly studied and widely adopted rescue intervention, algorithm-based patient assessment tools, is examined. The analysis summarizes how a lack of systems-oriented approaches in the design and implementation of these tools has resulted in suboptimal understanding of patient risk of mortality and complications and the early recognition of patient deterioration. The gaps identified impact several critical aspects of excellent patient care, including information-sharing across care settings, support for the development of shared mental models within care teams, and access to timely and accurate patient information.

This chapter describes the use of several system-oriented design and implementation activities to establish design objectives, model clinical processes and workflows, and create an extensible information system model to maximize the benefits of patient state and risk assessment tools in the inpatient setting. A prototype based on the product of the design activities is discussed along with system-level considerations for implementation. This study also demonstrates the effectiveness and impact of applying systems design principles and practices to real-world clinical applications.

Describes how two US hospitals, members of an integrated health system, took different routes to achieve radical constructive change, one of them ‐ an urban community hospital ‐ through what is described in detail as core process redesign; the other ‐ a full‐service, research and teaching hospital ‐ devised and implemented a process described, again in step‐by‐step detail, as re‐engineering of clinical services and business operations.

This study aims to compare the impacts of proceedings papers in the fields of social science and humanities (SSH) and science.

This study involved not only citations but also altmetric indexes to compare the impacts of proceedings papers among multiple disciplines with 1,779,166 records from Conference Proceedings Citation Index (CPCI) in the Web of Science (WoS) in the period of 2013–2017. The mean value, concentration ratio, Lorenz curves and correlation analysis are utilized into the comparative analysis.

(1) Proceedings papers in science fields had higher scholarly impacts than those in SSH fields. (2) As for societal impact, clinical, pre-clinical and health still ranked first, whereas physical science and engineering and technologies were transcended by SSH fields, which is different from the scholarly impact of proceedings papers. (3) As for proceedings papers, citations and altmetric indexes have weak or moderate correlations in all six fields, indicating that altmetrics can be supplemented when assessing proceedings papers.

This study is expected to enhance the understanding of proceedings papers and to promote accuracy of evaluation for them by exhibiting the multidisciplinary differences of their scholarly and societal impacts.

This work explores the potential benefits of aligning the strategic planning process with a BPM program in a clinical research center (CRC). The purpose of this paper is to define a process for executing strategic planning oriented towards the promotion of a BPM program.

The method applied is action research. This allowed the solution of a practical problem and at the same time the proposition of a new approach to promote BPM in alignment with strategy, which was synthesized in the model presented.

The analysis and structuring of the strategic planning process, with the assessment of the as-is situation, were adequate as a preparation step for the first cycle of a BPM program in the CRC. Based on lessons learned along the research project, a model was proposed for the strategic planning process oriented towards promoting BPM.

The model was conceived from a single application at a CRC, through a cycle of action research. This is one of the limitations of this work. The model was not yet sufficiently tested in other contexts. This represents opportunities for future research.

The evaluation step in the action research cycle revealed that the organization in focus was satisfied with the results. New management practices in the organizations in focus were implemented as a result of this work.

Process improvement initiatives are a novelty in the CRC context, and this work may serve as a reference for CRC managers seeking to improve overall performance. The proposed model in this work indicates that a BPM program should start with strategic planning. An initial assessment of the as-is situation of the organization in focus was performed based on the analysis of the undesirable effects in the organization’s management practices, using a technique of the Theory of Constraints. The use of this technique facilitated the identification of solutions to the root causes identified in the assessment. The level of the assessment was deeper in comparison to results obtained with traditional tools used in strategic planning processes. The assessment supports the definition of actions oriented to solving the majority of the management dysfunctions of the organization in focus.

Effective maintenance management of medical equipment is one of the major issues for quality of care and cost-effectiveness especially in modern hospitals. An effective medical equipment maintenance management (MEMM) consists of adequate planning, management and implementation. This is essential for providing good health services and saving scarce resources. Considering the importance of the subject, the purpose of this paper is to extract the influential factors on MEMM using a qualitative approach.

Documents review and interviews were main methods for data collection. Semi structured interviews were conducted with a purposive sample of 14 clinical engineers with different degree of education and job levels. Interviews were voice recorded and transcribed verbatim. Qualitative data were analyzed using a content analysis approach (inductive and deductive) to identify the underlying themes and sub-themes.

Factors influencing an effective and efficient MEMM system categorized in seven themes and 19 sub-themes emerged. The themes included: “resources,” “quality control,” “information bank,” “education,” “service,” “inspection and preventive maintenance” and “design and implementation.”

The proposed framework provides a basis for a comprehensive and accurate assessment of medical equipment maintenance. The findings of this study could be used to improve the profitability of healthcare facilities and the reliability of medical equipment.