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Designing framework of Intelligent Surveillance System for retinopathy of prematurity

Document Type : Research Paper

Authors

1 PhD Graduated, Department of Information Technology Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.

2 Professor, Department of Information Technology Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.Corresponding Author: ar_ Hassanzadeh@modares.ac.ir

3 Professor, Department of Health Systems Engineering, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran

4 Assistant Professor, Tehran university of Medical Scienses, Tehran, Iran.

5 Assistant Professor, Department of Information Technology Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.

Abstract

The rapid advancement of digital technologies and the growing burden of neonatal diseases have underscored the need for intelligent solutions in modern healthcare systems. Retinopathy of Prematurity (ROP), a vision-threatening disorder in preterm infants, requires timely, accurate, and structured interventions; yet existing care systems face persistent challenges in infrastructure, clinical processes, stakeholder coordination, and technology integration.
This study proposes an organizational architecture framework for a smart ROP surveillance system, developed using the TOGAF ADM methodology. A mixed-methods design was employed: theoretical insights were obtained through a systematic literature review, analysis of policy documents, and examination of service identification cards, while semi-structured interviews with experts in healthcare, policy, and information technology helped to identify and refine key system components.
Based on TOGAF 10, a multi-layered framework was constructed across four domains—business, application, data, and technology. The framework incorporates clinical datasets, decision-support tools, secure infrastructures, and governance mechanisms. Its validity was examined through the survey of experts and assessed using Moutinho’s evaluation criteria, ensuring conceptual rigor and practical relevance.
The result of the research is a native and coherent framework that includes informational (clinical and diagnostic data), application (decision support systems), technological (communication and security infrastructure), and institutional (policy-making structures and key stakeholders) components, and provides the necessary platform for improving the quality of care, reducing human errors in diagnosis and therapeutic interventions, and advancing digital health strategies in the treatment of this disease. Finally, in addition to the research presentations, practical suggestions and recommendations for future research are provided.

Keywords

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References

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Business Intelligence Management Studies
Volume 14, Issue 54
December 2026
Pages 283-325
Files
History
  • Receive Date: 06 August 2025
  • Revise Date: 12 October 2025
  • Accept Date: 27 October 2025
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