Multi-Criteria Decision Making for Optimal Configuration of Business Process Model Families

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.

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

Revista Brasileira de Enfermagem ◽

10.1590/0034-7167-2020-0145 ◽

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.

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

10.31219/osf.io/768qy ◽

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.

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

10.21203/rs.3.rs-1153488/v1 ◽

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.

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