Examining the Components and Indicators of the Smart Health-Oriented Product-Service System for Older Adults: A Review Study

The world population is rapidly aging and according to the World Health Organization report, the number of people aged 60 and over will reach two billion in 2050. Because of this, an important issue is emerging. It defines a new generation of healthcare platforms with the ability to monitor people's quality of life. In recent years, an increasing interest in product-service systems has been recorded in many industries. Various companies have recently introduced new services related to their products to meet customers' new and higher expectations. This interest increased with the introduction of new technologies and developments brought about by the Fourth Industrial Age. In this research, after presenting an introduction about the health-oriented smart product-service system, its importance has been examined for the components and indicators of the health-oriented smart product-service system for older adults.

In this qualitative study, by analyzing and reviewing the content of the studies conducted regarding the health-oriented smart product-service system and by obtaining the opinion of a focus group including 10 managers and experts in this field, the conceptual model of the smart product-service system The health of older adults was presented.

According to the review of the literature on the subject and the study of past research, the components and indicators of the smart health-oriented product-service system in a comprehensive manner (taking into account all the models and opinions raised in this field) present and the components of the system consisting of 10 main components; Actors and integration network, cost of system implementation and management, cloud platform and platform, physical platform, connectivity, personalization and customization, experience management and user interface (UI, UX), user feedback systems, drug management and clinical review. It is an educational guide and rules, and each component's indicators and system parameters are also mentioned.

The most important achievement of this research is a general initial model for this, which can be used as a basic architecture and structure by public and private organizations in the field of health, and especially technology-oriented startup companies to design a health-oriented intelligent product-service system. Also, the design of smart health-oriented product-service systems based on the cognitive factors of older adults and insurance systems based on the components and indicators proposed are topics for future research.