scholarly journals Benefits and Limitations of Business Process Model Notation in Modeling Patient Healthcare Trajectory: A Scoping Review Protocol

2021 ◽  
Author(s):  
Kassim Said Abasse ◽  
Jean-Baptiste Gartner ◽  
Laurence Labbé ◽  
Paolo Landa ◽  
Catherine Paquet ◽  
...  
Keyword(s):  
Decision Making ◽  
Business Process ◽  
Scoping Review ◽  
Trajectory Optimization ◽  
Process Model ◽  
Data Extraction ◽  
Grey Literature ◽  
Business Process Model ◽  
Wide Range ◽  
Healthcare Trajectory

Introduction: The adoption of business process model notation (BPMN) in modeling healthcare trajectory can enhance the efficiency and efficacy of healthcare organizations and ultimately improve patient outcomes while restraining costs. However, existing systematic reviews have been inconclusive regarding the effectiveness of BPMN in modeling healthcare trajectory. The aims of this scoping review are to map and aggregate existing evidence on the main benefits and limitations associated with BPMN in healthcare trajectory and highlight areas of improvement on using BPMN and its extensions in healthcare practices, which have not been systematically scoped. Methods and Analysis: The proposed scoping review will be performed in accordance with the methodological framework suggested by Arksey and O’Malley and further refined by Levac et al. A wide range of electronic databases and grey literature sources will be systematically searched using predefined keywords, from 2004 onwards. The review will include any study design with a focus on the application of the BPMN approach applied for optimizing healthcare trajectories (e.g., diagnostic, and therapeutic process, decision making, cost, and resources), published in either English or French. Two reviewers will independently screen titles, abstracts, and full-text articles and select studies meeting the inclusion criteria. A customized data extraction form will be used to extract data from the included studies. The results will be presented in tabular format developed iteratively by the research team.Ethics and dissemination: Research ethics approval is not required as exclusively secondary data will be used. Review findings will be used to advance understanding about BPMN, its extensions and its application in healthcare trajectory optimization. The review will develop recommendations about how to tailor BPMN strategies at optimizing care pathways and decision-making processes. Our findings will be disseminated in peer-reviewed journals and presentations and through discussions with relevant organizations and stakeholders.

scholarly journals Benefits and Limitations of Business Process Model Notation in Modeling Patient Healthcare Trajectory: A Scoping Review Protocol

2021 ◽  
Author(s):  
Kassim Said Abasse ◽  
Jean-Baptiste Gartner ◽  
Laurence Labbé ◽  
Paolo Landa ◽  
Catherine Paquet ◽  
...  
Keyword(s):  
Decision Making ◽  
Business Process ◽  
Scoping Review ◽  
Trajectory Optimization ◽  
Process Model ◽  
Data Extraction ◽  
Grey Literature ◽  
Business Process Model ◽  
Wide Range ◽  
Healthcare Trajectory

Abstract Introduction: The adoption of business process model notation (BPMN) in modeling healthcare trajectory can enhance the efficiency and efficacy of healthcare organizations and ultimately improve patient outcomes while restraining costs. However, existing systematic reviews have been inconclusive regarding the effectiveness of BPMN in modeling healthcare trajectory. The aims of this scoping review are to map and aggregate existing evidence on the main benefits and limitations associated with BPMN in healthcare trajectory and highlight areas of improvement on using BPMN and its extensions in healthcare practices, which have not been systematically scoped. Methods and Analysis : The proposed scoping review will be performed in accordance with the methodological framework suggested by Arksey and O’Malley and further refined by Levac et al. A wide range of electronic databases and grey literature sources will be systematically searched using predefined keywords, from 2004 onwards. The review will include any study design with a focus on the application of the BPMN approach applied for optimizing healthcare trajectories (e.g., diagnostic, and therapeutic process, decision making, cost, and resources), published in either English or French. Two reviewers will independently screen titles, abstracts, and full-text articles and select studies meeting the inclusion criteria. A customized data extraction form will be used to extract data from the included studies. The results will be presented in tabular format developed iteratively by the research team. Ethics and dissemination : Research ethics approval is not required as exclusively secondary data will be used. Review findings will be used to advance understanding about BPMN, its extensions and its application in healthcare trajectory optimization. The review will develop recommendations about how to tailor BPMN strategies at optimizing care pathways and decision-making processes. Our findings will be disseminated in peer-reviewed journals and presentations and through discussions with relevant organizations and stakeholders.

scholarly journals Business Process Models in the Context of Predictive Process Monitoring

2021 ◽  
Vol 28 (1) ◽  
pp. 39-46
Author(s):  
Florian Spree
Keyword(s):  
Process Monitoring ◽  
Business Process ◽  
Process Model ◽  
Academic Research ◽  
Research Area ◽  
Process Models ◽  
Business Process Model ◽  
Business Process Models ◽  
Wide Range ◽  
Predictive Process

Predictive process monitoring is a subject of growing interest in academic research. As a result, an increased number of papers on this topic have been published. Due to the high complexity in this research area a wide range of different experimental setups and methods have been applied which makes it very difficult to reliably compare research results. This paper's objective is to investigate how business process models and their characteristics are used during experimental setups and how they can contribute to academic research. First, a literature review is conducted to analyze and discuss the awareness of business process models in experimental setups. Secondly, the paper discusses identified research problems and proposes the concept of a web-based business process model metric suite and the idea of ranked metrics. Through a metric suite researchers and practitioners can automatically evaluate business process model characteristics in their future work. Further, a contextualization of metrics by introducing a ranking of characteristics can potentially indicate how the outcome of experimental setups will be. Hence, the paper's work demonstrates the importance of business process models and their characteristics in the context of predictive process monitoring and proposes the concept of a tool approach and ranking to reliably evaluate business process models characteristics.

scholarly journals How methodological frameworks are being developed: Evidence from a scoping review

2019 ◽  
Author(s):  
Nicola McMeekin ◽  
Olivia Wu ◽  
Evi Germeni ◽  
A Briggs
Keyword(s):  
Scoping Review ◽  
Data Extraction ◽  
Descriptive Analysis ◽  
Grey Literature ◽  
Methodological Framework ◽  
Data Synthesis ◽  
Wide Range ◽  
Study Characteristics ◽  
Subject Areas ◽  
Definition Of

Abstract Background A methodological framework is a structured guide to completing a process or procedure. Although the benefits of using methodological frameworks are increasingly recognised, to date, there is no formal definition of what constitutes a ‘methodological framework’, nor is there any published guidance on how to develop one. This study sought to: (a) map the existing landscape on the use of methodological frameworks; (b) identify approaches used for the development of methodological frameworks; and (c) recommend guidance for developing future methodological frameworks. We took a broad view and did not limit our study to methodological frameworks in research and academia. Methods A scoping review was conducted, drawing on Arksey and O’Malley’s methodological framework and more recent guidance. We systematically searched two major electronic databases (MEDLINE and Web of Science), as well as grey literature sources and the reference lists of key papers. Study characteristics and approaches used for development of methodological frameworks were extracted from included studies. Descriptive analysis was conducted. Results We included a total of 28 studies, representing a wide range of subject areas. The most commonly reported approach for developing a methodological framework was ‘Based on existing methods and guidelines’ (64.3%), followed by ‘Refined and validated’ (35.7%), ‘Experience and expertise’ (32.1%), ‘Literature review’ (28.6%), ‘Data synthesis and amalgamation’ (25.0%), ‘Data extraction’ (10.7%), ‘Iteratively developed’ (7.1%) and ‘Lab work results’ (3.6%). There was no consistent use of terminology; the studies included a range of terms for ‘methodological framework’, which were also used interchangeably within studies. Conclusions Although no formal guidance exists on how to develop a methodological framework, this scoping review found an overall consensus in approaches used, which can be broadly divided into three phases: (a) identifying data to inform the methodological framework; (b) developing the methodological framework; and (c) validating, testing and refining the methodological framework. Based on these phases, we provide recommendations to facilitate the development of future methodological frameworks.

Decision-Making Support for the Correctness of Input Data at Runtime in Business Processes

2014 ◽  
Vol 23 (04) ◽  
pp. 1450003 ◽  
Author(s):  
María Teresa Gómez-López ◽  
Rafael M. Gasca ◽  
José Miguel Pérez-Álvarez
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Business Process ◽  
Process Model ◽  
Input Data ◽  
Business Processes ◽  
Business Process Model ◽  
Programming Paradigm ◽  
Business Process Execution ◽  
Data Constraints

In a business process, the information that flows between the activities can be introduced by those users who interact with the process. This introduced information could be incorrect due to a lack of knowledge or a mistake. For this reason and to make the business process execution consistent, we propose a Decision Support System (DSS) to inform the user about the possible and correct values that the input data can take. The DSS takes into account the business process model and the policy of the company. The policy concerning the input data and dataflow that the company manages can be represented by constraints (called Business Data Constraints (BDCs)). In order to ascertain all the possible values of the input data that permit the execution of the process following the defined goals, the DSS analyzes the business process model and the BDC, using the constraint programming paradigm.

scholarly journals Optimising prescribing practices in older adults with multimorbidity: a scoping review of guidelines

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e049072
Author(s):  
Penny Lun ◽  
Felicia Law ◽  
Esther Ho ◽  
Keng Teng Tan ◽  
Wendy Ang ◽  
...  
Keyword(s):  
Older Adults ◽  
Decision Making ◽  
Scoping Review ◽  
Data Extraction ◽  
Grey Literature ◽  
Cochrane Library ◽  
Prescribing Practices ◽  
Usable Knowledge ◽  
Study Selection ◽  
The Cochrane Library

ObjectiveInappropriate polypharmacy occurs when multiple medications are prescribed without clear indications or where harms outweigh their benefits. The aims of this scoping review are to (1) identify prescribing guidelines that are available for older adults with multimorbidity and (2) to identify cross-cutting themes used in these guidelines.DesignScoping review.Data sourcesPubMed, Embase, Web of Science, the Cochrane Library databases, Cumulative Index to Nursing and Allied Health Literature, grey literature sources, six key geriatrics journals, and reference lists of identified review papers. The search was conducted in November 2018 and updated in September 2019.Study selectionGeneral prescribing guidelines tailored to or for adults including older adults with multimorbidity.Data extractionData for publication description, guideline characteristics, information for users and criteria were extracted. The synthesis contains summarised qualitative descriptions of the studies and guideline characteristics as well as identified cross-cutting themes.ResultsOur search strategy yielded 10 427 unique citations, of which 70 fulfilled the inclusion criteria for synthesis. Among these, there were 61 unique guidelines and tools which used implicit, explicit, mixed or other approaches in the prescriber decision-making process. There are 11 cross-cutting themes identified in the guidelines. Prescriber-related themes are: conduct a comprehensive assessment before prescribing, identify patients’ needs, goals and priorities, adopt shared decision-making, consider evidence-based recommendations, use clinical prescribing tools, incorporate multidisciplinary inputs and embrace technology-enabled prescribing. Wider organisation-related and system-related themes related to education, training and the work environment are also identified.ConclusionsFrom guidelines and tools identified, eleven cross-cutting themes provide a usable knowledge base when seeking to optimise prescribing among older adults with multimorbidity. Incorporating these themes in an approach that uses mixed criteria and implementation information could facilitate greater uptake of published prescribing recommendations.

scholarly journals How methodological frameworks are being developed: Evidence from a scoping review

2020 ◽  
Author(s):  
Nicola McMeekin ◽  
Olivia Wu ◽  
Evi Germeni ◽  
A Briggs
Keyword(s):  
Scoping Review ◽  
Data Extraction ◽  
Descriptive Analysis ◽  
Grey Literature ◽  
Methodological Framework ◽  
Data Synthesis ◽  
Wide Range ◽  
Study Characteristics ◽  
Subject Areas ◽  
Definition Of

Abstract Background: A methodological framework is a structured guide to completing a process or procedure. Although the benefits of using methodological frameworks are increasingly recognised, to date, there is no formal definition of what constitutes a ‘methodological framework’, nor is there any published guidance on how to develop one. This study’s aims are to: (a) map the existing landscape on the use of methodological frameworks; (b) identify approaches used for the development of methodological frameworks and terminology used; and (c) provide suggestions for developing future methodological frameworks. We took a broad view and did not limit our study to methodological frameworks in research and academia.Methods: A scoping review was conducted, drawing on Arksey and O’Malley’s methods and more recent guidance. We systematically searched two major electronic databases (MEDLINE and Web of Science), as well as grey literature sources and the reference lists and citations of all relevant papers. Study characteristics and approaches used for development of methodological frameworks were extracted from included studies. Descriptive analysis was conducted.Results: We included a total of 30 studies, representing a wide range of subject areas. The most commonly reported approach for developing a methodological framework was ‘Based on existing methods and guidelines’ (66.7%), followed by ‘Refined and validated’ (33.3%), ‘Experience and expertise’ (30.0%), ‘Literature review’ (26.7%), ‘Data synthesis and amalgamation’ (23.3%), ‘Data extraction’ (10.0%), ‘Iteratively developed’ (6.7%) and ‘Lab work results’ (3.3%). There was no consistent use of terminology; the studies included a range of terms for ‘methodological framework’, which were also used interchangeably within studies.Conclusions: Although no formal guidance exists on how to develop a methodological framework, this scoping review found an overall consensus in approaches used, which can be broadly divided into three phases: (a) identifying data to inform the methodological framework; (b) developing the methodological framework; and (c) validating, testing and refining the methodological framework. Based on these phases, we provide suggestions to facilitate the development of future methodological frameworks.Trial registration: Not applicable

THE NETWORK MODEL OF BUSINESS PROCESSES OF THE IT PROVIDER

2017 ◽  
pp. 100-107
Author(s):  
Alexey Sergeyevich Dobrynin ◽  
Alexander Sergeyevich Koynov ◽  
Stanislav Matveevich Kulakov
Keyword(s):  
Network Model ◽  
Business Process ◽  
Best Management Practices ◽  
Process Model ◽  
Business Processes ◽  
Service Providers ◽  
Assessment System ◽  
High Tech ◽  
Business Process Model ◽  
Wide Range

The subject of the research is to improve the efficiency of business processes for various industries (for example, IT service provision). Constant involvement in the competition is forcing service providers and high-tech product manufacturers to optimize internal and external processes to achieve the desired result. The market information and other services need to obtain an integrated toolkit that allows to perform analysis of existing processes and their metrics and make management decisions. The paper focuses on variable procedural model or network model of the business process as one of the components of the assessment system and the possibility to improve the efficiency of enterprises and organizations. The main actively applied research methods are the system analysis of the elements of set theory and graph theory. Illustration of a business process model has been made with the assistance of a methodological framework of the best management practices in the IT sector. The following developing effective technologies of software systems have also been used: relational databases, object-oriented programming, and unit testing. The novelty of the research is to develop a changeable business process model, which if necessary can be adjusted for a particular subject area. The essence of the elements of the variable model is reflected in the possibility of a flexible dynamic binding of certain roles or assets to the processes of the network schedule or procedures. Thus, the proposed model is sufficiently versatile, which allows using it in a wide range of applications and systems for performance improvement with a comprehensive assessment of costs and resources.

Process modeling: technological innovation to control the risk for perioperative positioning injury

2021 ◽  
Vol 74 (suppl 6) ◽  
Author(s):  
Ana Luzia Rodrigues ◽  
Fernanda Broering Gomes Torres ◽  
Eduardo Alves Portela Santos ◽  
Marcia Regina Cubas
Keyword(s):  
Decision Making ◽  
Technological Innovation ◽  
Business Process ◽  
Process Modeling ◽  
Process Model ◽  
Knowledge Integration ◽  
Nursing Practice ◽  
Business Process Model ◽  
Clinical Nursing ◽  
Operating Room Nurses

ABSTRACT Objectives: to report the construction of a process model to support the decision making of operating room nurses to control the risk for perioperative positioning injury. Methods: experience report on a process model that helps nurses with decision making regarding clients at risk for perioperative positioning injury. By following the steps, it was possible to identify intrinsic and extrinsic variables of the literature and of the workflows of teams involved in the positioning of the client for surgery. The Business Process Model and Notation, the Bizagi Modeler software and terms from the International Classification for Nursing Practice were used in the model. Results: the experience allowed the observation of the knowledge integration between different areas, which enabled the process modeling and its validation. Conclusions: process modeling is an innovative option for the development of support systems for clinical nursing decisions.

scholarly journals How methodological frameworks are being developed: Evidence from a scoping review

2020 ◽  
Author(s):  
Nicola McMeekin ◽  
Olivia Wu ◽  
Evi Germeni ◽  
A Briggs
Keyword(s):  
Scoping Review ◽  
Data Extraction ◽  
Descriptive Analysis ◽  
Grey Literature ◽  
Methodological Framework ◽  
Data Synthesis ◽  
Wide Range ◽  
Study Characteristics ◽  
Subject Areas ◽  
Definition Of

Abstract Background Although the benefits of using methodological frameworks are increasingly recognised, to date, there is no formal definition of what constitutes a ‘methodological framework’, nor is there any published guidance on how to develop one. For the purposes of this study we have defined a methodological framework as a structured guide to completing a process or procedure. This study’s aims are to: (a) map the existing landscape on the use of methodological frameworks; (b) identify approaches used for the development of methodological frameworks and terminology used; and (c) provide suggestions for developing future methodological frameworks. We took a broad view and did not limit our study to methodological frameworks in research and academia. Methods A scoping review was conducted, drawing on Arksey and O’Malley’s methods and more recent guidance. We systematically searched two major electronic databases (MEDLINE and Web of Science), as well as grey literature sources and the reference lists and citations of all relevant papers. Study characteristics and approaches used for development of methodological frameworks were extracted from included studies. Descriptive analysis was conducted.Results We included a total of 30 studies, representing a wide range of subject areas. The most commonly reported approach for developing a methodological framework was ‘Based on existing methods and guidelines’ (66.7%), followed by ‘Refined and validated’ (33.3%), ‘Experience and expertise’ (30.0%), ‘Literature review’ (26.7%), ‘Data synthesis and amalgamation’ (23.3%), ‘Data extraction’ (10.0%), ‘Iteratively developed’ (6.7%) and ‘Lab work results’ (3.3%). There was no consistent use of terminology; diverse terms for methodological framework were used across and, interchangeably, within studies.Conclusions Although no formal guidance exists on how to develop a methodological framework, this scoping review found an overall consensus in approaches used, which can be broadly divided into three phases: (a) identifying data to inform the methodological framework; (b) developing the methodological framework; and (c) validating, testing and refining the methodological framework. Based on these phases, we provide suggestions to facilitate the development of future methodological frameworks.Trial registration: Not applicable

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