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Article
Publication date: 1 October 2006

S.G. Elkhuizen, M. Limburg, P.J.M. Bakker and N.S. Klazinga

Business process redesign (BPR) is used to implement organizational transformations towards more customer‐focused and cost‐effective care. Ideally, these innovations should be…

3573

Abstract

Purpose

Business process redesign (BPR) is used to implement organizational transformations towards more customer‐focused and cost‐effective care. Ideally, these innovations should be carefully described and evaluated so that “best practices” can be re‐applied. To investigate this, available evidence was collected on patient care redesign projects.

Design/methodology/approach

The Ebsco Business Source Premier, Embase and Medline databases were searched. Studies on innovations related to re‐engineering patient care that used before‐after design as minimum prerequisites were selected. General characteristics, logistic parameters and other outcome measures to determine the objectives and results and interventions used were looked at.

Findings

A total of 86 studies that conformed to the criteria were found: a minority mentioned measurable parameters in their objectives. In the majority of studies, multiple interventions were combined within single studies, making it impossible to compare the effects of individual interventions. Only three randomized controlled trials were found. Furthermore, inconsistencies were noted between the study objectives and the reported results. Many more issues were reported in the results than were mentioned in the study aims. It would appear that publications were hard to find owing to a lack of specific MeSH headings. Nearly 7,500 abstracts were scanned and from these it was concluded that clear and univocal research methods, terms and reporting guidelines are advisable and must be developed in order to learn and benefit from BPR innovations in health care organizations.

Originality/value

This appears to be the first time available evidence about redesign projects in hospitals has been systematically collected and assessed.

Details

International Journal of Health Care Quality Assurance, vol. 19 no. 6
Type: Research Article
ISSN: 0952-6862

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Article
Publication date: 4 May 2010

J.R.C. van Sambeek, F.A. Cornelissen, P.J.M. Bakker and J.J. Krabbendam

The purpose of this article is to find decision‐making models for the design and control of processes regarding patient flows, considering various problem types, and to find out…

2681

Abstract

Purpose

The purpose of this article is to find decision‐making models for the design and control of processes regarding patient flows, considering various problem types, and to find out how usable these models are for managerial decision making.

Design/methodology/approach

A systematic review of the literature was carried out. Relevant literature from three databases was selected based on inclusion and exclusion criteria and the results were analyzed.

Findings

A total of 68 articles were selected. Of these, 31 contained computer simulation models, ten contained descriptive models, and 27 contained analytical models. The review showed that descriptive models are only applied to process design problems, and that analytical and computer simulation models are applied to all types of problems to approximately the same extent. Only a few models have been validated in practice, and it seems that most models are not used for their intended purpose: to support management in decision making.

Research limitations/implications

The comparability of the relevant databases appears to be limited and there is an insufficient number of suitable keywords and MeSH headings, which makes searching systematically within the broad field of health care management relatively hard to accomplish.

Practical implications

The findings give managers insight into the characteristics of various types of decision‐support models and into the kinds of situations in which they are used.

Originality/value

This is the first time literature on various kinds of models for supporting managerial decision making in hospitals has been systematically collected and assessed.

Details

International Journal of Health Care Quality Assurance, vol. 23 no. 4
Type: Research Article
ISSN: 0952-6862

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Article
Publication date: 7 September 2015

Premaratne Samaranayake, Ann Dadich, Kate J Hayes and Terrence Sloan

The purpose of this paper is to present a business process reengineering (BPR) framework of process and data integration with patient journey as the basis for process evaluation…

976

Abstract

Purpose

The purpose of this paper is to present a business process reengineering (BPR) framework of process and data integration with patient journey as the basis for process evaluation and the improvement of patient-flow.

Design/methodology/approach

A BPR framework is developed using a mixed-method research design, which incorporated a case study to demonstrate a healthcare scenario with associated processes and data elements, using process models based on event-driven process chain methodology as well as patient and data models, based on unitary structuring technique. The framework includes key processes including patient booking and rebooking, and associated inputs, outputs, and control parameters. In this case, the framework is demonstrated through application to computed tomography (CT) services in a hospital to improve patient-flow, with numerical simulation of CT data collected over time.

Findings

The framework supports flexible patient scheduling and the associated planning of healthcare operations and logistics – this in turn helps to improve patient-flow. Furthermore, mathematical modelling and simulation precisely reveal the impact of booking and rebooking on the performance of the CT department.

Research limitations/implications

This innovative framework has potential value for other services, within and beyond the hospital setting.

Originality/value

The proposed framework of process modelling, data, and patient journey addresses the lack of a holistic approach to monitoring and evaluating service performance in hospital settings. Patient journey modelling is an integral part of process and data models that can be implemented in an integrated system environment such as an enterprise resource planning system for real-time monitoring of patient-flow under dynamic conditions.

Details

Business Process Management Journal, vol. 21 no. 5
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 2 September 2013

Jian Liu, Peng Liu, Sifeng Liu, Yizhong Ma and Wensheng Yang

Process mining provides a new means to improve processes in a variety of application domains. The purpose of this paper is to abstract a process model and then use the discovered…

382

Abstract

Purpose

Process mining provides a new means to improve processes in a variety of application domains. The purpose of this paper is to abstract a process model and then use the discovered models from process mining to make useful optimization via predictions.

Design/methodology/approach

The paper divides the process model into a combination of “pair-adjacent activities” and “pair-adjacent persons” in the event logs. First, two new handover process models based on adjacency matrix are proposed. Second, by adding the stage, frequency, and time for every activity or person into the matrix, another two new handover prediction process models based on stage adjacency matrix are further proposed. Third, compute the conditional probability from every stage to next stage through the frequency. Finally, use real data to analyze and demonstrate the practicality and effectiveness of the proposed handover optimization process.

Findings

The process model can be extended with information to predict what will actually happen, how possible to reach the next activity, who will do this activity, and the corresponding probability if there are several people executing the same activity, etc.

Originality/value

The contribution of this paper is to predict what will actually happen, how possible it is to reach the following activities or persons in the next stage, how soon to reach the following activities or persons by calculating all the possible interval time via different traces, who will do this activity, and the corresponding probability if there are several people executing the same activity, etc.

Details

Kybernetes, vol. 42 no. 7
Type: Research Article
ISSN: 0368-492X

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Book part
Publication date: 20 July 2017

Elizabeth P. Karam, William L. Gardner, Daniel P. Gullifor, Lori L. Tribble and Mingwei Li

Academic and practitioner attention to the constructs of authentic leadership and work engagement and their implications for organizations has grown dramatically over the past…

Abstract

Academic and practitioner attention to the constructs of authentic leadership and work engagement and their implications for organizations has grown dramatically over the past decade. Consideration of the implications of these constructs for high-performance human resource practices (HPHRP) is limited, however. In this monograph, we present a conceptual model that integrates authentic leadership/followership theory with theory and research on HPHRP. Then, we apply this model to systematically consider the implications of skill-enhancing, motivation-enhancing, and opportunity-enhancing HR practices in combination with authentic leadership for authentic followership, follower work engagement, and follower performance. We contend that authentic leadership, through various influences processes, promotes HPHRP, and vice versa, to help foster enhanced work engagement. By cultivating greater work engagement, individuals are motivated to bring their best, most authentic selves to the workplace and are more likely to achieve higher levels of both well-being and performance.

Details

Research in Personnel and Human Resources Management
Type: Book
ISBN: 978-1-78714-709-6

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Article
Publication date: 20 February 2023

Cristina Fernandes, João Ferreira and Pedro Mota Veiga

The purpose of this study is use a bibliometric analysis to explore the relational nature of knowledge creation in WFM in operations. Companies live under constant pressure to…

333

Abstract

Purpose

The purpose of this study is use a bibliometric analysis to explore the relational nature of knowledge creation in WFM in operations. Companies live under constant pressure to find the best ways to plan their workforce, and the workforce emangement (WFM) is one of the biggest challenges faced by managers. Relevant research on WFM in operations has been published in a several range of journals that vary in their scope and readership, and thus the academic contribution to the topic remains largely fragmented.

Design/methodology/approach

To address this gap, this review aims to map research on WFM in operations to understand where it comes from and where it is going and, therefore, provides opportunities for future work. This study combined two bibliometric approaches with manual document coding to examine the literature corpus of WFM in operations to draw a holistic picture of its different aspects.

Findings

Content and thematic analysis of the seminal studies resulted in the extraction of three key research themes: workforce cross-training, planning workforce mixed methods and individual workforce characteristics. The findings of this study further highlight the gaps in the WFM in operations literature and raise some research questions that warrant further academic investigation in the future.

Originality/value

Likewise, this study has important implications for practitioners who are likely to benefit from a holistic understanding of the different aspects of WFM in operations.

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Book part
Publication date: 7 June 2016

Ashley O’Donoghue, Edel Conway and Janine Bosak

This chapter investigates the relationship between abusive supervision and employee well-being (i.e., job satisfaction, engagement) and ill-being (i.e., burnout, workaholism) and…

Abstract

Purpose

This chapter investigates the relationship between abusive supervision and employee well-being (i.e., job satisfaction, engagement) and ill-being (i.e., burnout, workaholism) and examines whether follower core self-evaluations (CSE) moderate this relationship.

Methodology/approach

The study uses cross-sectional survey data collected from 111 professional employees across a range of industry sectors.

Findings

Results show that abusive supervision is negatively related to employee well-being (i.e., engagement and job satisfaction) and positively related to employee ill-being, namely burnout. In addition, employees low in CSE are less engaged and less satisfied than employees high in CSE.

Research limitations/implications

The study’s cross-sectional design limits the strength of its conclusions.

Practical implications

This chapter notes the ethical and legal obligations of organizations to provide a safe working environment and identifies the policies and procedures that will signal a commitment to employee well-being.

Originality/value

The study contributes to the leadership and well-being literatures by exploring the influence of abusive leaders on follower well-being and engagement. It also goes beyond merely identifying correlations between leadership style and follower well-being outcomes to investigate how leader and follower attributes can combine to influence these outcomes.

Details

Emotions and Organizational Governance
Type: Book
ISBN: 978-1-78560-998-5

Keywords

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Book part
Publication date: 16 September 2019

Davide de Gennaro

Abstract

Details

Job Crafting
Type: Book
ISBN: 978-1-83867-222-5

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Article
Publication date: 19 September 2016

Sandra G. Leggat, Richard Gough, Timothy Bartram, Pauline Stanton, Greg J. Bamber, Ruth Ballardie and Amrik Sohal

Hospitals have used process redesign to increase the efficiency of the emergency department (ED) to cope with increasing demand. While there are published studies suggesting a…

848

Abstract

Purpose

Hospitals have used process redesign to increase the efficiency of the emergency department (ED) to cope with increasing demand. While there are published studies suggesting a positive outcome, recent reviews have reported that it is difficult to conclude that these approaches are effective as a result of substandard research methodology. The purpose of this paper is to explore the perceptions of hospital staff on the impact of a process redesign initiative on quality of care.

Design/methodology/approach

A retrospective qualitative case study examining a Lean Six Sigma (LSS) initiative in a large metropolitan hospital from 2009 to 2010. Non-probability sampling identified interview subjects who, through their participation in the redesign initiative, had a detailed understanding of the implementation and outcomes of the initiative. Between April 2012 and January 2013 26 in-depth semi-structured interviews were conducted and analysed with thematic content analysis.

Findings

There were four important findings. First, when asked to comment on the impact of the LSS implementation, without prompting the staff spoke of quality of care. Second, there was little agreement among the participants as to whether the project had been successful. Third, despite the recognition of the need for a coordinated effort across the hospital to improve ED access, the redesign process was not successful in reducing existing divides among clinicians and among managers and clinicians. Finally, staff expressed tension between production processes to move patients more quickly and their duty of care to their patients as individuals.

Originality/value

One of the first studies to explore the impact of process redesign through in-depth interviews with participating staff, this study adds further evidence that organisations implementing process redesign must ensure the supporting management practices are in place.

Details

Journal of Health Organization and Management, vol. 30 no. 6
Type: Research Article
ISSN: 1477-7266

Keywords

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Article
Publication date: 20 September 2018

Diana Cordes Feibert and Peter Jacobsen

The purpose of this paper is to refine and expand technology adoption theory for a healthcare logistics setting by combining the technology–organization–environment framework with…

1721

Abstract

Purpose

The purpose of this paper is to refine and expand technology adoption theory for a healthcare logistics setting by combining the technology–organization–environment framework with a business process management (BPM) perspective. The paper identifies and ranks factors impacting the decision to implement instances of technologies in healthcare logistics processes.

Design/methodology/approach

A multiple case study is carried out at five Danish hospitals to investigate the bed logistics process. A combined technology adoption and BPM lens is applied to gain an understanding of the reasoning behind technology adoption.

Findings

A set of 17 factors impacting the adoption of technologies within healthcare logistics was identified. The impact factors perceived as most important to the adoption of technologies in healthcare logistics processes relate to quality, employee work conditions and employee engagement.

Research limitations/implications

This paper seeks to understand how managers can use knowledge about impact factors to improve processes through technology adoption. The findings of this study provide insights about the factors impacting the adoption of technologies in healthcare logistics processes. Differences in perceived importance of factors enable ranking of impact factors, and prioritization of changes to be implemented. The study is limited to five hospitals, but is expected to be representative of public hospitals in developed countries and applicable to similar processes.

Originality/value

The study contributes to the empirical research within the field of BPM and technology adoption in healthcare. Furthermore, the findings of this study enable managers to make an informed decision about technology adoption within a healthcare logistics setting.

Details

The International Journal of Logistics Management, vol. 30 no. 1
Type: Research Article
ISSN: 0957-4093

Keywords

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