The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform
Huilong Duan - One of the best experts on this subject based on the ideXlab platform.
-
aligning event logs to task time matrix clinical pathways in bpmn for Variance Analysis
Biomedical and Health Informatics, 2018Co-Authors: Hui Yan, Pieter Van Gorp, Uzay Kaymak, Choo Chiap Chiau, H H M Korsten, Huilong DuanAbstract:Clinical pathways (CPs) are popular healthcare management tools to standardize care and ensure quality. Analyzing CP compliance levels and Variances is known to be useful for training and CP redesign purposes. Flexible semantics of the business process model and notation (BPMN) language has been shown to be useful for the modeling and Analysis of complex protocols. However, in practical cases one may want to exploit that CPs often have the form of task-time matrices. This paper presents a new method parsing complex BPMN models and aligning traces to the models heuristically. A case study on Variance Analysis is undertaken, where a CP from the practice and two large sets of patients data from an electronic medical record (EMR) database are used. The results demonstrate that automated Variance Analysis between BPMN task-time models and real-life EMR data are feasible, whereas that was not the case for the existing Analysis techniques. We also provide meaningful insights for further improvement.
-
Variance Analysis in task time matrix clinical pathways
IEEE-EMBS International Conference on Biomedical and Health Informatics, 2017Co-Authors: Hui Yan, Pieter Van Gorp, Uzay Kaymak, Choo Chiap Chiau, H H M Korsten, Huilong DuanAbstract:Clinical pathways are popular healthcare management tools to standardise care and ensure quality. Measuring pathway conformance and analysing Variances gives valuable feedback in the context of care improvement trajectories. The Business Process Model and Notation (BPMN) language and Task-Time matrices are popular ways to model clinical pathways. A key step in Variance Analysis involves the computation of optimal alignments between the pathway model and patient-specific traces. This paper presents for this step a new algorithm which reduces the time for finding deviations from hours to minutes. A case study on Variance Analysis is undertaken, where a clinical pathway from the practice and a large set of patients data from an EMR database are used. The results demonstrate that automated Variance Analysis between BPMN Task-Time models and real-life EMR data is feasible. We also provide meaningful insights for further improvement.
-
BHI - Variance Analysis in Task-Time matrix clinical pathways
2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2017Co-Authors: Hui Yan, Pieter Van Gorp, Uzay Kaymak, Choo Chiap Chiau, H H M Korsten, Huilong DuanAbstract:Clinical pathways are popular healthcare management tools to standardise care and ensure quality. Measuring pathway conformance and analysing Variances gives valuable feedback in the context of care improvement trajectories. The Business Process Model and Notation (BPMN) language and Task-Time matrices are popular ways to model clinical pathways. A key step in Variance Analysis involves the computation of optimal alignments between the pathway model and patient-specific traces. This paper presents for this step a new algorithm which reduces the time for finding deviations from hours to minutes. A case study on Variance Analysis is undertaken, where a clinical pathway from the practice and a large set of patients data from an EMR database are used. The results demonstrate that automated Variance Analysis between BPMN Task-Time models and real-life EMR data is feasible. We also provide meaningful insights for further improvement.
S A Finkler - One of the best experts on this subject based on the ideXlab platform.
-
Variance Analysis. Part I, Extending flexible budget Variance Analysis to acuity.
The Journal of nursing administration, 1991Co-Authors: S A FinklerAbstract:The author reviews the concepts of flexible budget Variance Analysis, including the price, quantity, and volume Variances generated by that technique. He also introduces the concept of acuity Variance and provides direction on how such a Variance measure can be calculated. Part II in this two-part series on Variance Analysis will look at how personal computers can be useful in the Variance Analysis process.
-
Variance Analysis. Part II, The use of computers.
The Journal of nursing administration, 1991Co-Authors: S A FinklerAbstract:This is the second in a two-part series on Variance Analysis. In the first article (JONA, July/August 1991), the author discussed flexible budgeting, including the calculation of price, quantity, volume, and acuity Variances. In this second article, the author focuses on the use of computers by nurse managers to aid in the process of calculating, understanding, and justifying Variances.
Hui Yan - One of the best experts on this subject based on the ideXlab platform.
-
aligning event logs to task time matrix clinical pathways in bpmn for Variance Analysis
Biomedical and Health Informatics, 2018Co-Authors: Hui Yan, Pieter Van Gorp, Uzay Kaymak, Choo Chiap Chiau, H H M Korsten, Huilong DuanAbstract:Clinical pathways (CPs) are popular healthcare management tools to standardize care and ensure quality. Analyzing CP compliance levels and Variances is known to be useful for training and CP redesign purposes. Flexible semantics of the business process model and notation (BPMN) language has been shown to be useful for the modeling and Analysis of complex protocols. However, in practical cases one may want to exploit that CPs often have the form of task-time matrices. This paper presents a new method parsing complex BPMN models and aligning traces to the models heuristically. A case study on Variance Analysis is undertaken, where a CP from the practice and two large sets of patients data from an electronic medical record (EMR) database are used. The results demonstrate that automated Variance Analysis between BPMN task-time models and real-life EMR data are feasible, whereas that was not the case for the existing Analysis techniques. We also provide meaningful insights for further improvement.
-
Variance Analysis in task time matrix clinical pathways
IEEE-EMBS International Conference on Biomedical and Health Informatics, 2017Co-Authors: Hui Yan, Pieter Van Gorp, Uzay Kaymak, Choo Chiap Chiau, H H M Korsten, Huilong DuanAbstract:Clinical pathways are popular healthcare management tools to standardise care and ensure quality. Measuring pathway conformance and analysing Variances gives valuable feedback in the context of care improvement trajectories. The Business Process Model and Notation (BPMN) language and Task-Time matrices are popular ways to model clinical pathways. A key step in Variance Analysis involves the computation of optimal alignments between the pathway model and patient-specific traces. This paper presents for this step a new algorithm which reduces the time for finding deviations from hours to minutes. A case study on Variance Analysis is undertaken, where a clinical pathway from the practice and a large set of patients data from an EMR database are used. The results demonstrate that automated Variance Analysis between BPMN Task-Time models and real-life EMR data is feasible. We also provide meaningful insights for further improvement.
-
BHI - Variance Analysis in Task-Time matrix clinical pathways
2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2017Co-Authors: Hui Yan, Pieter Van Gorp, Uzay Kaymak, Choo Chiap Chiau, H H M Korsten, Huilong DuanAbstract:Clinical pathways are popular healthcare management tools to standardise care and ensure quality. Measuring pathway conformance and analysing Variances gives valuable feedback in the context of care improvement trajectories. The Business Process Model and Notation (BPMN) language and Task-Time matrices are popular ways to model clinical pathways. A key step in Variance Analysis involves the computation of optimal alignments between the pathway model and patient-specific traces. This paper presents for this step a new algorithm which reduces the time for finding deviations from hours to minutes. A case study on Variance Analysis is undertaken, where a clinical pathway from the practice and a large set of patients data from an EMR database are used. The results demonstrate that automated Variance Analysis between BPMN Task-Time models and real-life EMR data is feasible. We also provide meaningful insights for further improvement.
T.c.e. Cheng - One of the best experts on this subject based on the ideXlab platform.
-
Mean-Variance Analysis of the newsvendor model with stockout cost
Omega, 2009Co-Authors: Shouyang Wang, T.c.e. ChengAbstract:Note: Pre-published version entitled: A Note on Mean-Variance Analysis of the Newsvendor Model with Stockout Cost.
Belinda Pearson - One of the best experts on this subject based on the ideXlab platform.
-
Variance Analysis in clinical pathways for total hip and knee joint arthroplasty.
Journal of quality in clinical practice, 2000Co-Authors: Philip Dalton, David J. Macintosh, Belinda PearsonAbstract:Clinical pathways are being increasingly used for daily patient care. The pathways consist of a sequence of critical treatment events matched to the patient's recovery. Variance Analysis identifies deviations from the pathway and can be used for quality improvement and clinical audit. The aim of this study is to analyse the Variances from clinical pathways in two common elective orthopaedic operations. A prospective Variance Analysis was performed from the clinical pathways of all patients undergoing total hip and total knee arthroplasty over a 12 month period. Variances were categorised according to their source and then further divided into serious and non-serious Variances. A total of 65 patients underwent total knee replacement during the study. Eleven serious Variances were recorded in eight of these patients (12.3%) with a surprisingly high number of cardiac events. A total of 52 patients underwent total hip replacement with nine serious Variances recorded in seven of these patients (13.5%). Clinical pathways can be used as a means of incorporating evidence-based medicine into clinical practice. Variance Analysis of the pathways can be utilised as a process of quality control and to improve patient outcomes. Serious Variances within this study were higher than anticipated.
