Government Transformation Projects-The Role of E-Health Polymathic Secured Implementation (GTP-REHPSI)

This article illustrates the role and how to design and implement an Government Transformation Projects (GTP) in-house E-Health Polymathic Secured Implementation (GTP-REHPSI, or simply e-health) that can uses the authors’ previous works, like the Enterprise’s Holistic Security e-health (ETP-HSC) [1,2,3]. In this article the focus is on e-health in the context of the comparison of major Governmental Health Systems (GHS) to be adapted for the Kingdom of Saudi Arabia’s (KSA) health system. e-health includes interfaces to practically all major domains, like Traditional health domains, electronic/web-based health, AI based health modules.... e-health uses the author’s Polymathic transformation framework and included methodology that supports the GTP-REHPSI [7]. Knowing that GTPs (and other types of transformations initiatives) are complex and have very high level of failure rates (at about 95 percent). GTP’s main problem is in the acceptance and integration of a GTP-REHPSI and e-health [7]. The e-health shows how an GTP integrates GTP-REHPSI and AI based health modules to support GHS’ major security breaches. The GTP-REHPSI is supported by the author’s (today usable) Applied Holistic Mathematical Model (AHMM) for e-health (M-Model). This article is a Polymathics research and uses an adapted mixed-research method based on the Heuristic Decision Tree (HDT) [8,9]. The M-Model based e-health supports: 1) A mixed-method empirical Decision-Making System (DMS) and Knowledge Management System (KMS) (simply Intelligence); 2) An Action Research (AR) (ideal for GTP-REHPSIs) method for e-health; 3) Portable generic services’ approach; and 3) An in-house framework for a successful finalization of secured GTPs. The e-health is a new block in the author’s Research and Development Project (RDP) and is a natural evolution and the aim is to offer an example of an In-House Implemented (IHI) Transformation Framework (IHITF). The e-health for the KSA includes many of the author’s research works on the applications of GTPs (simply a Project), global security concepts, Health systems, AI, and Mathematical Models (MM).

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Publication Details

Journal
ARIS2 - Advanced Research on Information Systems Security
Published
2024-12-31
DOI
https://doi.org/10.56394/aris2.v4i2.39
Primary Topic
Software Engineering Techniques and Practices
Type
article
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article

Government Transformation Projects-The Role of E-Health Polymathic Secured Implementation (GTP-REHPSI)

Antoine Trad
ARIS2 - Advanced Research on Information Systems Security
Software Engineering Techniques and Practices
article

Government Transformation Projects-The Role of E-Health Polymathic Secured Implementation (GTP-REHPSI)

Antoine Trad
article en

Abstract

This article illustrates the role and how to design and implement an Government Transformation Projects (GTP) in-house E-Health Polymathic Secured Implementation (GTP-REHPSI, or simply e-health) that can uses the authors’ previous works, like the Enterprise’s Holistic Security e-health (ETP-HSC) [1,2,3]. In this article the focus is on e-health in the context of the comparison of major Governmental Health Systems (GHS) to be adapted for the Kingdom of Saudi Arabia’s (KSA) health system. e-health includes interfaces to practically all major domains, like Traditional health domains, electronic/web-based health, AI based health modules.... e-health uses the author’s Polymathic transformation framework and included methodology that supports the GTP-REHPSI [7]. Knowing that GTPs (and other types of transformations initiatives) are complex and have very high level of failure rates (at about 95 percent). GTP’s main problem is in the acceptance and integration of a GTP-REHPSI and e-health [7]. The e-health shows how an GTP integrates GTP-REHPSI and AI based health modules to support GHS’ major security breaches. The GTP-REHPSI is supported by the author’s (today usable) Applied Holistic Mathematical Model (AHMM) for e-health (M-Model). This article is a Polymathics research and uses an adapted mixed-research method based on the Heuristic Decision Tree (HDT) [8,9]. The M-Model based e-health supports: 1) A mixed-method empirical Decision-Making System (DMS) and Knowledge Management System (KMS) (simply Intelligence); 2) An Action Research (AR) (ideal for GTP-REHPSIs) method for e-health; 3) Portable generic services’ approach; and 3) An in-house framework for a successful finalization of secured GTPs. The e-health is a new block in the author’s Research and Development Project (RDP) and is a natural evolution and the aim is to offer an example of an In-House Implemented (IHI) Transformation Framework (IHITF). The e-health for the KSA includes many of the author’s research works on the applications of GTPs (simply a Project), global security concepts, Health systems, AI, and Mathematical Models (MM).

ARIS2 - Advanced Research on Information Systems SecurityVol. 4(2)
Openalex Percentile: Top 51%
Software Engineering Techniques and Practices
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Government Transformation Projects-The Role of E-Health Polymathic Secured Implementation (GTP-REHPSI) — Antoine Trad · ARIS2 - Advanced Research on Information Systems Security (2024) | TGRS Research Map | TGRS