PERFORM Publications

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Title		Authors	PubMed ID
1	Individual differences in empathy-related responses in early childhood: A person-centred approach	Bullinger J; Christner N; Urian R; Kellermann CM; Beaulieu S; Steinbeis N; Dunfield KA; Paulus M;	41888065 PSYCHOLOGY
2	Mapping the distribution of contaminants identified by non-targeted screening of passively sampled urban air	Liu L; Gillet AP; Akiki C; Tian L; Ma Y; Zhang X; Bowman DT; Wania F; Delbès G; Apparicio P; Bayen S;	41033295 CHEMBIOCHEM
3	Activating Group II Metabotropic Glutamate Receptors in the Basolateral Amygdala Inhibits Increases in Reward Seeking Triggered by Discriminative Stimuli in Rats	LeCocq MR; Mainville-Berthiaume A; Laplante I; Samaha AN;	40341317 CSBN
4	Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting	Ahmed U; Mahmood A; Khan AR; Kuhlmann L; Alimgeer KS; Razzaq S; Aziz I; Hammad A;	40185800 PHYSICS
5	On the nature, predictors, and outcomes of work passion profiles: A generalisability study across distinct types of employees	Gillet N; Morin AJS; Brault S; Becker M; Verbeke I;	39499627 PSYCHOLOGY
6	Comparative Analysis of the Functions Work Groups and Informal Subgroups Carry out in Relation to their Members: The Essence, Conditions of Implementation, Effects, and Dysfunctions	Sidorenkov AV; Borokhovski EF;	38492193 CONCORDIA
7	Do trauma cue exposure and/or PTSD symptom severity intensify selective approach bias toward cannabis cues in regular cannabis users with trauma histories?	DeGrace S; Romero-Sanchiz P; Tibbo P; Barrett S; Arenella P; Cosman T; Atasoy P; Cousijn J; Wiers R; Keough MT; Yakovenko I; O' Connor R; Wardell J; Rudnick A; Nicholas Carleton R; Heber A; Stewart SH;	37625353 PSYCHOLOGY
8	Coping and Conformity Motives Mediate the Joint Effects of the Behavioral Inhibition and Approach Systems on Alcohol Problems in Young Adults	Morris V; Keough MT; Stewart SH; O' Connor RM;	36943012 PSYCHOLOGY
9	Supporting pregnant and parenting women who use alcohol during pregnancy: A scoping review of trauma-informed approaches	Morton Ninomiya ME; Almomani Y; Dunbar Winsor K; Burns N; Harding KD; Ropson M; Chaves D; Wolfson L;	36744547 CONCORDIA
10	The Sugar Metabolic Model of Aspergillus niger Can Only Be Reliably Transferred to Fungi of Its Phylum	Li J; Chroumpi T; Garrigues S; Kun RS; Meng J; Salazar-Cerezo S; Aguilar-Pontes MV; Zhang Y; Tejomurthula S; Lipzen A; Ng V; Clendinen CS; Tolic N; Grigoriev IV; Tsang A; Mäkelä MR; Snel B; Peng M; de Vries RP;	36547648 BIOLOGY
11	Combining elements of the CO-OP Approach™ with education to promote healthy eating among older adults: A pilot study	Dawson DR; Bar Y; Ajwani F; Rotenberg S; Atlas B; Ricupero M; Greewood C; Parrott MD;	36338514 PERFORM
12	The Role of Context Conditioning in the Reinstatement of Responding to an Alcohol-Predictive Conditioned Stimulus	LeCocq MR; Sun S; Chaudhri N;	34852244 PSYCHOLOGY
13	Evaluation of System Modelling Techniques for Waste Identification in Lean Healthcare Applications.	Alkaabi M, Simsekler MCE, Jayaraman R, Al Kaf A, Ghalib H, Quraini D, Ellahham S, Tuzcu EM, Demirli K	33447104 ENCS
14	Integrative approach for detecting membrane proteins.	Alballa M, Butler G	33349234 CSFG
15	Empirically Derived Profiles of Health-Related Quality of Life in Youth and Young Adults with Sickle Cell Disease.	Keenan ME, Loew M, Berlin KS, Hodges J, Alberts NM, Hankins JS, Porter JS	33249456 PSYCHOLOGY

Title:	Evaluation of System Modelling Techniques for Waste Identification in Lean Healthcare Applications.
Authors:	Alkaabi M, Simsekler MCE, Jayaraman R, Al Kaf A, Ghalib H, Quraini D, Ellahham S, Tuzcu EM, Demirli K
Link:	https://www.ncbi.nlm.nih.gov/pubmed/33447104
DOI:	10.2147/RMHP.S283189
Publication:	Risk management and healthcare policy
Keywords:	healthcare operations; kaizen; lean healthcare; system approaches; system modelling techniques; value stream map; waste identification;
PMID:	33447104	Category:	Risk Manag Healthc Policy	Date Added:	2021-01-16
Dept Affiliation:	ENCS 1 Department of Industrial and Systems Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates. 2 Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates. 3 Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Canada.

Description:

Evaluation of System Modelling Techniques for Waste Identification in Lean Healthcare Applications.

Risk Manag Healthc Policy. 2020; 13:3235-3243

Authors: Alkaabi M, Simsekler MCE, Jayaraman R, Al Kaf A, Ghalib H, Quraini D, Ellahham S, Tuzcu EM, Demirli K

Abstract

Purpose: Waste identification plays a vital role in lean healthcare applications. While the value stream map (VSM) is among the most commonly used tools for waste identification, it may be limited to visualize the behaviour of dynamic and complex healthcare systems. To address this limitation, system modelling techniques (SMTs) can be used to provide a comprehensive picture of various system-wide wastes. However, there is a lack of evidence in the current literature about the potential contribution of SMTs for waste identification in healthcare processes.

Methods: This study evaluates the usability and utility of six types of SMTs along with the VSM. For the evaluation, interview-based questionnaires were conducted with twelve stakeholders from the outpatient clinic at the Heart and Vascular Institute at Cleveland Clinic Abu Dhabi.

Results: VSM was found to be the most useful diagram in waste identification in general. However, some SMTs that represent the system behaviour outperformed the VSM in identifying particular waste types, e.g., communication diagram in identifying over-processing waste and flow diagram in identifying transportation waste.

Conclusion: As behavioural SMTs and VSM have unique strengths in identifying particular waste types, the use of multiple diagrams is recommended for a comprehensive waste identification in lean. However, limited resources and time, as well as limited experience of stakeholders with SMTs, may still present obstacles for their potential contribution in lean healthcare applications.

PMID: 33447104 [PubMed]

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