ORCID Profile
0000-0002-4470-7695
Current Organisations
University of Sydney
,
Western Sydney University
,
Victoria University
,
Asia Pacific International College
,
Kent Institute Australia Pty Ltd
,
Swinburne University of Technology
,
SP Jain School of Global Management - Sydney Campus
,
Southern Cross University
,
Project Management Institute
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Publications
Exponential random graph modeling of emergency collaboration networks
Publisher: Elsevier BV
Date: 03-2015
Network effects on learning during emergency events
Publisher: Informa UK Limited
Date: 11-2014
DOI: 10.1057/KMRP.2012.65
Social connectedness and adaptive team coordination during fire events
Publisher: Elsevier BV
Date: 07-2013
Coordination Challenges for Global Disease Outbreaks Security
Publisher: Springer Berlin Heidelberg
Date: 2012
Mapping and modeling of physician collaboration network
Publisher: Wiley
Date: 07-03-2013
DOI: 10.1002/SIM.5770
Abstract: Effective provisioning of healthcare services during patient hospitalization requires collaboration involving a set of interdependent complex tasks, which needs to be carried out in a synergistic manner. Improved patients' outcome during and after hospitalization has been attributed to how effective different health services provisioning groups carry out their tasks in a coordinated manner. Previous studies have documented the underlying relationships between collaboration among physicians on the effective outcome in delivering health services for improved patient outcomes. However, there are very few systematic empirical studies with a focus on the effect of collaboration networks among healthcare professionals and patients' medical condition. On the basis of the fact that collaboration evolves among physicians when they visit a common hospitalized patient, in this study, we first propose an approach to map collaboration network among physicians from their visiting information to patients. We termed this network as physician collaboration network (PCN). Then, we use exponential random graph (ERG) models to explore the microlevel network structures of PCNs and their impact on hospitalization cost and hospital readmission rate. ERG models are probabilistic models that are presented by locally determined explanatory variables and can effectively identify structural properties of networks such as PCN. It simplifies a complex structure down to a combination of basic parameters such as 2-star, 3-star, and triangle. By applying our proposed mapping approach and ERG modeling technique to the electronic health insurance claims dataset of a very large Australian health insurance organization, we construct and model PCNs. We notice that the 2-star (subset of 3 nodes in which 1 node is connected to each of the other 2 nodes) parameter of ERG has significant impact on hospitalization cost. Further, we identify that triangle (subset of 3 nodes in which each node is connected to the rest 2 nodes), alternative k-star (subset of k nodes in which 1 node is connected to each of other k - 1 nodes), and alternative k - 2 path (subset of k nodes in which, between a specific pair of nodes, there exists k - 2 paths of length 2) parameters of ERG have impact on the hospital readmission rate. Our findings can have implications for healthcare administrators or managers who could potentially improve the practice cultures in their organizations by following these outcomes.
Effects of networks on learning during emergency events
Publisher: Emerald
Date: 09-11-2012
DOI: 10.1108/09653561211278716
Abstract: This paper aims to explore the relationship between learning and the social networks employed within the context of emergency management. It hypothesises, using social network theory as a framework for analysis, that changes to interconnectedness between actors are implicated in the potential for those actors to learn and improvise in dynamically changing and emergent conditions. To test the hypotheses, survey data were investigated which were collected as part of a research study with the support of the Australian Bushfire Co‐operative Research Centre (CRC). This survey was completed by experienced personnel reflecting on a number of indicators in an emergency event. Results show that increases in actors’ involvement within the social emergency management network influences the ability of those actors to engage in learning‐related work activity. The paper infers that by developing learning related resources within the context of their social interactions these emergency personnel are better able to adapt and improvise in complex emergency events. As an area of further research, it would be useful to apply the existing theoretical model to the context of another domain, preferably one that shares characteristics of uncertainty and unstable environments. Most existing studies of learning theory in human networks have focused on learning in situations requiring stable working relationships with no environmental uncertainties. In this paper, it is argued that the designs of existing models are useful as a building block, yet flawed for application within the context of disaster management. By presenting a model of learning‐related work activity, as an ongoing aspect of network connectedness, personnel within emergency services organisations can strengthen their capacity to be flexible and adaptable.
A study of physician collaboration through social network and exponential random graph
Publisher: Springer Science and Business Media LLC
Date: 26-06-2013
Social networks perspective of firefighters' adaptive behaviour and coordination among them
Publisher: IEEE
Date: 12-2010
Exponential random graph modeling of communication networks to understand organizational crisis
Publisher: ACM
Date: 19-05-2011
Exploring communication networks to understand organizational crisis using exponential random graph models
Publisher: Springer Science and Business Media LLC
Date: 25-11-2013
Related Organisations
SP Jain School Of Global Management - Sydney Campus
Location: Australia
Related Funding Activities
No related grants have been discovered for Jafar hamra.