Hybrid method to assist business process reengineering in developing countries

Public institution spending in developing countries is constantly increasing in the last decades, and the available data shows that there is a lack of efficiency in resource consumption not reflected in efficiency improvement. This necessitates the need to reengineer business process that will increase efficiency at a lower cost. To address this, the researcher employed interview and observation data collection strategy where 50 employees from the central registration team of Yobe State University and 22 Health practitioners including doctors, nurses and radiologists from Sani Abatcha Specialist Hospital, Damaturu-Nigeria were interviewed and observed respectively. In this research, the approach based on design science that integrates Knowledge Map, Enterprise Ontology and lean using approach to find unnecessary transactions that must be reengineered to improve the organizational efficiency was adopted. This approach was chosen as a basis for finding a solution because it provides a better understanding of the dynamics of an organization, and allows a good alignment between the enterprise design and operation. Demonstrations of the processes collected from Yobe State University and Radiology Department of Sani Abatcha Specialist Hospital, Damaturu-Nigeria, making it possible to find transactions that can be refined or improved. Evaluation was carried out by means of descriptions and the Four Principles from Österle. Findings indicated that the number of transactions were reduced by 25% in the case of Yobe State University registration process and also reduced by 41.7% in the case of Radiology Department of Sani Abatcha Specialist Hospital. In conclusion, the results proved that the approach yields an adequate and clear process view and is reliable when it comes to reengineering organizational operational processes

A Method for Improving Healthcare Management Using Enterprise Ontology

ABSTRACT The global healthcare spending has constantly increased in the last decades, and there is data showing inefficiency in resource consumption that is not reflected in healthcare improvement. The need to introduce new ways to do the same at a lower cost is rational. To address this, we propose a method based on Enterprise Ontology to find non value-added transactions that must be redesigned to improve the healthcare management. This methodology was chosen as a basis for our solution because it provides a better understanding of the dynamics of an organization, and allows a good alignment between the enterprise design and operation. Demonstrations were accomplished within National Health System, making it possible to find transactions that can be refined or improved. Evaluation was carried out by means of interviews, the Four Principles from Österle et al., the Moody and Shanks Quality Framework, the framework from Pries-Heje et al., and the feedback from the scientific community. Results prove that the method yields an adequate and clear process view and is reliable when it comes to improving healthcare operational processes

Knowledge-driven Migration to Services

Vliet, J.C. [Promotor]Lago, P. [Copromotor

A Research Review on Building Information Modeling in Construction―An Area Ripe for IS Research

This article presents a review of the research on Building Information Modeling (BIM) in construction, with the aim of identifying areas in this domain where IS research can contribute. The concept of BIM comprises an infrastructure of IT tools supporting collaborative and integrated design, assembly, and operation of buildings. This integrated construction approach, with all stakeholders editing or retrieving information from commonly shared models, requires major changes to well-established processes, organizational roles, contractual practices, and collaborative arrangements in the construction industry. Through a review of 264 research articles on BIM, we found that this research spans a wide area of technological and organizational topics, of which many have a clear resonance to focal areas in IS research. Our analysis shows that IS, to some extent, serves as a reference discipline and that theories used in IS research are also informing contemporary BIM research. The following areas in need of further IS research were identified: studies on the relationship between BIM’s functional affordance and human agency, adoption and use of BIM for inter-organizational collaboration, the influence of organizational culture on BIM practices, the capabilities of BIM for transforming industry practice, and identifying the business value of BIM. Considering that a well-established knowledge base in IS research can be drawn upon for studying these issues, combined with the exciting potential of BIM for transforming a major industry such as building construction, we conclude that BIM is an area ripe for IS research

Business Process Management for optimizing clinical processes: A systematic literature review

Business Process Management is a new strategy for process management that is having a major impact today. Mainly, its use is focused on the industrial, services, and business sector. However, in recent years, it has begun to apply for optimizing clinical processes. So far, no studies that evaluate its true impact on the healthcare sector have been found. This systematic review aims to assess the results of the application of Business Process Management methodology on clinical processes, analyzing whether it can become a useful tool to improve the effectiveness and quality of processes. We conducted a systematic literature review using ScienceDirect, Web of Science, Scopus, PubMed, and Springer databases. After the electronic search process in different databases, 18 articles met the pre-established requirements. The findings support the use of Business Process Management as an effective methodology to optimize clinical processes. Business Process Management has proven to be a feasible and useful methodology to design and optimize clinical processes, as well as to automate tasks. However, a more comprehensive follow-up of this methodology, better technological support, and greater involvement of all the clinical staff are factors that play a key role for the development of its true potential.This work was supported by the Ministerio de Economía y Competitividad of the Spanish Government (ref. TIN2014-53067-C3-1-R) and co-financed by FEDER

Factors Contributing to Business Process Reengineering Implementation Success

Organizational leaders continue to use business process reengineering (BPR) as a process improvement methodology even though BPR implementations have had low success rates. To increase BPR success rates, organizational leaders must understand what specific factors contribute to successful BPR implementations. Grounded in Lewin\u27s field theory, the purpose of this nonexperimental, cross-sectional study was to examine the impact of gender and education on BPR. Data collection consisted of nonprobability convenience sample of 122 members from the professional networking website LinkedIn and the professional organizational website American Society for Quality. Data were gathered from a 6-point Likert-type scale survey instrument based on Hammer and Stanton\u27s pre-identified BPR failure factors. The MANOVA results indicated no significant gender, education, or gender and education interaction effect on a linear combination of perception of BPR success factors, F (33.00, 318.00) = .591, p \u3e 0.05, partial eta squared =.058. The results of this study might contribute to social change by helping organizational leaders understand factors that do not appear to be related to successful BPR implementations. The elimination of these factors could allow organizational leaders to focus on other factors for successful BPR implementations. Successful BPR implementations might lead to increased organizational profits, which could allow organizational leaders more opportunity and increase corporate social responsibility, all of which may directly affect the quality of life in a community

Analyzing the Effects of Tactical Dependence for Business Process Reengineering and Optimization

Implementing business and manufacturing process reengineering is challenging and poses major issues. The dependence issues between process functions during the implementation phase are the main reason for the high failure rate of process reengineering. The incompetence in identifying the dependence makes existing business process reengineering approaches static for modern business and manufacturing process structures. This paper has implemented a new process reengineering approach called the Khan–Hassan–Butt (KHB) methodology that incorporates the process interdependence algorithm to identify the dependence issues. The KHB method is a hybrid process reengineering approach to identify dependence issues before implementing changes; thus significantly reducing the failure rate of implementing business process reengineering. The KHB method has been implemented in a Bangladesh fabric manufacturing facility. The mapping and verification of the process have been completed using the WITNESS Horizon 22.5 simulation package. The case study has investigated the fabric production process and identified the dependence issues between each function and suggested changes to optimize the process. The outcome has shown significant improvement in production output and process efficienc

Dynamic enterprise modelling: a methodology for animating dynamic social networks

PhD ThesisSince the introduction of the Internet and the realisation of its potential companies have either transformed their operation or are in the process of doing so. It has been observed, that developments in I.T., telecommunications and the Internet have boosted the number of enterprises engaging into e-commerce, e-business and virtual enterprising. These trends are accompanied by re-shaping, transformation and changes in an enterprise's boundaries. The thesis gives an account of the research into the area of dynamic enterprise modelling and provides a modelling methodology that allows different roles and business models to be tested and evaluated without the risk associated with committing to a change

Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years

[EN] Objective To evaluate the effects of Process-Reengineering interventions on the Electronic Health Records (EHR) of a hospital over 7 years. Materials and methods Temporal Variability Assessment (TVA) based on probabilistic data quality assessment was applied to the historic monthly-batched admission data of Hospital La Fe Valencia, Spain from 2010 to 2016. Routine healthcare data with a complete EHR was expanded by processed variables such as the Charlson Comorbidity Index. Results Four Process-Reengineering interventions were detected by quantifiable effects on the EHR: (1) the hospital relocation in 2011 involved progressive reduction of admissions during the next four months, (2) the hospital services re-configuration incremented the number of inter-services transfers, (3) the care-services re-distribution led to transfers between facilities (4) the assignment to the hospital of a new area with 80,000 patients in 2015 inspired the discharge to home for follow up and the update of the pre-surgery planned admissions protocol that produced a significant decrease of the patient length of stay. Discussion TVA provides an indicator of the effect of process re-engineering interventions on healthcare practice. Evaluating the effect of facilities¿ relocation and increment of citizens (findings 1, 3¿4), the impact of strategies (findings 2¿3), and gradual changes in protocols (finding 4) may help on the hospital management by optimizing interventions based on their effect on EHRs or on data reuse. Conclusions The effects on hospitals EHR due to process re-engineering interventions can be evaluated using the TVA methodology. Being aware of conditioned variations in EHR is of the utmost importance for the reliable reuse of routine hospitalization data.F.J.P.B, C.S., J.M.G.G. and J.A.C. were funded Universitat Politecnica de Valencia, project "ANALISIS DE LA CALIDAD Y VARIABILIDAD DE DATOS MEDICOS". www.upv.es. J.M.G.G.is also partially supported by: Ministerio de Economia y Competitividad of Spain through MTS4up project (National Plan for Scientific and Technical Research and Innovation 2013-2016, No. DPI2016-80054-R); and European Commission projects H2020-SC1-2016-CNECT Project (No. 727560) and H2020-SC1-BHC-2018-2020 (No. 825750). The funders did not play any role in the study design, data collection and analysis, decision to publish, nor preparation of the manuscript.Perez-Benito, FJ.; Sáez Silvestre, C.; Conejero, JA.; Tortajada, S.; Valdivieso, B.; Garcia-Gomez, JM. (2019). Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years. PLoS ONE. 14(8):1-19. https://doi.org/10.1371/journal.pone.0220369S119148Aguilar-Savén, R. S. (2004). Business process modelling: Review and framework. International Journal of Production Economics, 90(2), 129-149. doi:10.1016/s0925-5273(03)00102-6Poulymenopoulou, M. 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