HEALTH SERVICES ARCHITECTURAL DESIGN USING THE PSKVE-S APPROACH AND INTERNET OF THINGS TECHNOLOGY FOR PATIENTS IN BEDRIDDEN CONDITIONS

• Main Author: Taruna Oliver, Presa
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/81543
• Institution: Institut Teknologi Bandung

Indonesia has undergone fundamental changes across various aspects of life since the emergence of the Coronavirus Disease 2019 (Covid-19) pandemic. The Indonesian government has implemented decisive measures to control the virus's spread through policies and regulations. This situation has posed serious challenges to Indonesia's existing healthcare system, particularly regarding limited hospital capacity and public unpreparedness for the pandemic. Recognizing the importance of being prepared for such emergencies, the public has begun to adapt by utilizing information technology to manage life during the pandemic. Many homes have transformed into smart homes to support isolated living from the outside world. However, many people remain unaware of the importance of home healthcare services, despite the potential of information technology to develop these services. This study aims to design a healthcare service architecture that integrates Internet of Things (IoT) technology with a Product-Service-Knowledge-Value-Environment System (PSKVE-S) approach, specifically to support bedridden patients. By leveraging IoT technology, this research proposes solutions for patient health monitoring, providing early warnings, and supporting remote care services. PSKVE-S is adopted as a framework to optimize the integration of services, knowledge, value, and environment in designing sustainable and growing health solutions. With the implementation of health parameter measurement systems using NEWS2 scoring, evaluation results show improvements in monitoring patient health conditions. This architecture provides the necessary early warnings and supports clinical decisions for patients, ensuring that bedridden patients receive optimal care.