Driving Digital Transformation in Healthcare: A Training Registration System for Efficiency and Data-Driven Decision Making

This paper presents the conceptual design of an Employee Training Registration Management System aimed at streamlining training workflows in healthcare. The system addresses the manual way of the hospital staff in registering training sessions. The admin will have the function to generate reports and manage submissions. Key features include user-friendly interfaces, centralized data management, role-based access, enhancing operational efficiency, accessibility, and data-driven decision-making. The system’s paperless design also aligns with sustainability goals, reducing environmental impact. Future enhancements, such as mobile app integration and AI-powered analytics, are discussed, along with scalability potential to other departments and industries. This study highlights the system’s contribution to digital transformation, setting a precedent for modernizing workflows and improving organizational effectiveness in healthcare.

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Publication Details

Journal
Journal of Information and Knowledge Management
Published
2025-05-15
DOI
https://doi.org/10.24191/jikm.v15isi1.6156
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Driving Digital Transformation in Healthcare: A Training Registration System for Efficiency and Data-Driven Decision Making

Journal of Information and Knowledge Management
AI and HR Technologies
article

Driving Digital Transformation in Healthcare: A Training Registration System for Efficiency and Data-Driven Decision Making

article en

Abstract

This paper presents the conceptual design of an Employee Training Registration Management System aimed at streamlining training workflows in healthcare. The system addresses the manual way of the hospital staff in registering training sessions. The admin will have the function to generate reports and manage submissions. Key features include user-friendly interfaces, centralized data management, role-based access, enhancing operational efficiency, accessibility, and data-driven decision-making. The system’s paperless design also aligns with sustainability goals, reducing environmental impact. Future enhancements, such as mobile app integration and AI-powered analytics, are discussed, along with scalability potential to other departments and industries. This study highlights the system’s contribution to digital transformation, setting a precedent for modernizing workflows and improving organizational effectiveness in healthcare.

Journal of Information and Knowledge ManagementVol. 15(SI1)
Universiti Malaysia Kelantan (MY)
Universiti Teknologi MARA
Life in Land
Openalex Percentile: Top 33%
AI and HR Technologies
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