Towards Multi-perspective conformance checking with fuzzy sets

Conformance checking techniques are widely adopted to pinpoint possible discrepancies between process models and the execution of the process in reality. However, state of the art approaches adopt a crisp evaluation of deviations, with the result that small violations are considered at the same level of significant ones. This affects the quality of the provided diagnostics, especially when there exists some tolerance with respect to reasonably small violations, and hampers the flexibility of the process. In this work, we propose a novel approach which allows to represent actors' tolerance with respect to violations and to account for severity of deviations when assessing executions compliance. We argue that besides improving the quality of the provided diagnostics, allowing some tolerance in deviations assessment also enhances the flexibility of conformance checking techniques and, indirectly, paves the way for improving the resilience of the overall process management system.Comment: 15 pages, 5 figure

Towards Multi-perspective Conformance Checking with Fuzzy Sets

Nowadays organizations often need to employ data-driven techniques to audit their business processes and ensure they comply with laws and internal/external regulations. Failing in complying with the expected process behavior can indeed pave the way to inefficiencies or, worse, to frauds or abuses. An increasingly popular approach to automatically assess the compliance of the executions of organization processes is represented by alignment-based conformance checking. These techniques are able to compare real process executions with models representing the expected behaviors, providing diagnostics able to pinpoint possible discrepancies. However, the diagnostics generated by state of the art techniques still suffer from some limitations. They perform a crisp evaluation of process compliance, marking process behavior either as compliant or deviant, without taking into account the severity of the identified deviation. This hampers the accuracy of the obtained diagnostics and can lead to misleading results, especially in contexts where there is some tolerance with respect to violations of the process guidelines. In the present work, we discuss the impact and the drawbacks of a crisp deviation assessment approach. Then, we propose a novel conformance checking approach aimed at representing actors’ tolerance with respect to process deviations, taking it into account when assessing the severity of the deviations. As a proof of concept, we performed a set of synthetic experiments to assess the approach. The obtained results point out the potential of the usage of a more flexible evaluation of process deviations, and its impact on the quality and the interpretation of the obtained diagnostics

Identify facilitators and challenges in computerized checklist implementation

Safety checklists have been considered as a promising tool for improving patient safety for decades. Computerized checklists have better performance compared with paper-based checklists, though there are barriers to their adoption. Given previous literature, it is still unclear what assists implementations and their challenges. To address this issue, this paper summarizes the implementation of two successful computerized checklist implementations in two countries for two different clinical scenarios and analyzes their facilitators and challenges.</p

Towards Multi-perspective conformance checking with fuzzy sets

A crucial issue for today’s organizations is to ensure that the executions of their processes comply with a set of constraints like, e.g., internal managerial choices or external legal requirements.Conformance checking techniques are widely adopted to monitor the execution of the organization processes and pinpoint possible discrepancies with respect to the prescribed behaviors. However, state of the art approaches adopt a crisp evaluation of deviations, with the result that small violations are considered at the same level of significant ones. This affects the quality of the provided diagnostics, especially when there exists some tolerance with respect to reasonably small violations, and hampers the flexibility of the process. In this work, we propose a novel approach which allows to represent actors’tolerance with respect to violations and to account for severity of deviations when assessing executions compliance. Besides improving the quality of the provided diagnostics, allowing some tolerance in deviation assessment also enhances the flexibility of conformance checking techniques and, indirectly, paves the way for improving the resilience of the overall process management system

Towards Multi-perspective conformance checking with fuzzy sets

A crucial issue for today’s organizations is to ensure that the executions of their processes comply with a set of constraints like, e.g., internal managerial choices or external legal requirements.Conformance checking techniques are widely adopted to monitor the execution of the organization processes and pinpoint possible discrepancies with respect to the prescribed behaviors. However, state of the art approaches adopt a crisp evaluation of deviations, with the result that small violations are considered at the same level of significant ones. This affects the quality of the provided diagnostics, especially when there exists some tolerance with respect to reasonably small violations, and hampers the flexibility of the process. In this work, we propose a novel approach which allows to represent actors’tolerance with respect to violations and to account for severity of deviations when assessing executions compliance. Besides improving the quality of the provided diagnostics, allowing some tolerance in deviation assessment also enhances the flexibility of conformance checking techniques and, indirectly, paves the way for improving the resilience of the overall process management system

Can existing guideline languages meet the requirements of computerized checklist systems?

\u3cp\u3eComputerized safety checklist systems designed for improving care-givers' situation awareness are emerging in recent years. These systems are proved to be effective for improving adherence to guidelines while keeping high user acceptance. However, most of these systems are still hard-coded since it is yet unclear to what extent can existing guideline modeling languages capture the requirements for such a type of systems. This paper answers this research question by carrying out three case studies using three distinct and representative type of guideline languages. The expressiveness, interoperability, and maintainability of these three languages are compared against the requirements of typical computerized safety checklists. The results indicate all of these languages can partially support the requirements of computerized safety checklists. Whereas some important features of computerized checklists are not yet covered these languages.\u3c/p\u3

Using openEHR's guideline definition language for representing percutaneous coronary intervention patient safety rules in a dynamic checklist system

\u3cp\u3eOpenEHR's Guideline Definition Language is designed for standardizing clinical decision support systems. In this study, we use Guideline Definition Language to represent patient safety rules in pre-operation of Percutaneous Coronary Intervention for the dynamic checklist system. After using Guideline Definition Language in this case, we had some results about its expression adaptability to requirements of patient safety rules.\u3c/p\u3

Fuzzy multi-perspective conformance checking for business processes

Conformance checking techniques are widely used to monitor the execution of organization processes and to pinpoint possible violations of the prescribed behavior. State-of-the-art approaches adopt a crisp evaluation of deviations: namely, every step in the execution which is not perfectly compliant with the procedural rules is marked as deviant. However, many real-world processes are driven by decisions taken by human actors, which are often characterized by uncertainty. As a consequence, deviations are often tolerated, within some boundaries. In these contexts, assessing small violations at the same level as significant ones hampers the accuracy of the provided diagnostics. In this work, we propose a novel conformance checking approach which allows to consider actors’ tolerance to violations when assessing the magnitude of detected deviations, taking into account different kinds of deviating behaviors. Experiments conducted on two real-life clinical data sets have shown that taking the extent of deviations into account leads to more fine-grained diagnostics, thus illustrating the value of the approach

Using openEHR's guideline definition language for representing percutaneous coronary intervention patient safety rules in a dynamic checklist system

OpenEHR's Guideline Definition Language is designed for standardizing clinical decision support systems. In this study, we use Guideline Definition Language to represent patient safety rules in pre-operation of Percutaneous Coronary Intervention for the dynamic checklist system. After using Guideline Definition Language in this case, we had some results about its expression adaptability to requirements of patient safety rules

Can existing guideline languages meet the requirements of computerized checklist systems?

Computerized safety checklist systems designed for improving care-givers' situation awareness are emerging in recent years. These systems are proved to be effective for improving adherence to guidelines while keeping high user acceptance. However, most of these systems are still hard-coded since it is yet unclear to what extent can existing guideline modeling languages capture the requirements for such a type of systems. This paper answers this research question by carrying out three case studies using three distinct and representative type of guideline languages. The expressiveness, interoperability, and maintainability of these three languages are compared against the requirements of typical computerized safety checklists. The results indicate all of these languages can partially support the requirements of computerized safety checklists. Whereas some important features of computerized checklists are not yet covered these languages