Authors:
Lamia Benhiba
;
Asmae Loutfi
and
Mohammed Abdou Janati Idrissi
Affiliation:
Mohamed V University, Morocco
Keyword(s):
Network Dynamics, Structural Analysis, Social Network Analysis, Healthcare Organization, E-health, Healthcare SNA Applications.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Healthcare Management Systems
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
As the web, social networks and the internet of things permeated our daily life; a new perspective for
understanding the complexity of our interconnectedness has become necessary. One approach that has
predominantly proven useful in discovering hidden relationships, connections and trends of complex
systems through mathematical and graphical techniques is Social Network Analysis (SNA). This approach
has become increasingly appeling for Healthcare in particular as many of this domain’s problems examine
systems with dynamic actors that interact with each other and exhibit emergent complex behaviors.
However, due to their multiplicity, the application of SNA methodologies proves to be a complex and
confusing endeavor. In an attempt to support the effort of applying SNA methodologies on Healthcare
research problems, this paper offers firstly a categorization of SNA methodologies (structural and dynamic
analysis), then inventories Healthcare SNA applications and classifies them into organ
izational and e-health
related problems. The resulting categorization helps identify the Healthcare research problems most
auspicious for SNA methodologies and should thus provide a guiding material of adequate SNA
methodologies for a given Healthcare research problem.
(More)