Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework

Abstract

Objectives This study used the Technology-Organization-Environment (TOE) framework to identify the factors involved in the decisions made by integrated medical and healthcare organizations to adopt artificial intelligence (AI) elderly care service resources. Method This study identified the Decision-making Trial and Evaluation Laboratory-Interpretive Structural Modeling (DEMATEL-ISM) method was used to construct a multilayer recursive structural model and to analyze the interrelationships between the levels. A MICMAC quadrant diagram was used for a cluster analysis. Results The ISM recursive structural model was divided into a total of seven layers. The bottom layer contained the four factors of High risk of data leakage (T1), Lack of awareness of the value and benefits of AI healthcare technology (T5), Lack of management leadership support (O1), and Government policies (E1). Having a low dependency but high driving force, these factors are the root causes of adoption by healthcare organizations. The topmost layer contained the most direct factors, which had a high dependency but the low driving force, influencing adoption: Competitive pressures (E2), Lack of patient trust (E5), and Lack of excellent partnerships (E7). Healthcare organizations are more concerned with technology and their environments when deciding to adopt intelligent healthcare resources. Conclusion The combination of the three methods of DEMATEL-ISM-MICMAC construction models provides new ideas for smart healthcare services for hospitals. The DEMATEL method favors the construction dimension of the micro-model, while the ISM method favors the construction dimension of the macro-model. Combining these two methods may reduce the loss of information within the system, simplify the matrix calculation workload, and improve the efficiency of operations while decomposing the complex problems into several sub-problems in a more comprehensive and detailed way. Conducting cluster analysis of the adoption determinants utilizing MICMAC quadrant diagrams may provide strong methodological guidance and decision-making recommendations for government departments, senior decision-makers in healthcare organizations, and policy-makers in associations in the senior care industry.

Impact of perceived ease of use, organizational support mechanism, and industry competitive pressure on physicians’ use of liver cancer screening technology in medical alliances

“…Since the relationship among technological context, organizational context, and environmental context has been confirmed in various studies on technology adoption, such as artificial intelligence health ( 47 ) and mobile health system ( 48 , 49 ), the empirical result of this study also support the point. The qualitative study of commercial health insurance drivers proved that three factors influence each other to achieve the performance configuration of insurance payment ( 50 ).…”

Assessing the Impact of AI Education on Hispanic Healthcare Professionals’ Perceptions and Knowledge

“…Regarding Knowledge based questions, most indicate that AI would be extremely useful in their work area, as shown also by Mahajan et al, 2019, and Yang et al, 2022 [ 23 , 24 ]. Comparing our results on the practical exposure of students to AI applications with the existing literature, our findings align with the current state of AI adoption in other health-related fields.…”

How to Guarantee the Sustainable Operation and Maintenance of Urban Utility Tunnels? From the Perspective of Stakeholder and the Whole Life Cycle

“…The MICMAC method divides the statuses and roles of the influencing factors based on the reachable matrix and helps to analyze the dependent-driving relationships of system factors [50,51]. In recent years, schol-ars have combined and integrated the advantages of the DEMATEL, ISM, and MICMAC methods and continuously optimized and applied them to factor analysis studies, such as analyzing accident causes in safety management [47,52] and factors in system engineering to better serve society [26]. Combining the above methods can provide the following advantages: (1) reducing information loss in the system, simplifying the matrix workload, and revealing the influencing factors from the macro and micro levels; and (2) focusing on elucidating the interaction relationship between system factors in three dimensions: each factor in the system, the levels of the factors, and the factors themselves.…”

“…The proposed methods consist of the following three main stages: the first stage is factor identification, which identifies the factors affecting UUT development through literature research and expert interviews; the second stage is data collection, using semi-structured interviews and questionnaires to determine the correlation between factors; and the third stage is factor analysis following the technical path of the DEMATEI-ISM-MICMAC method. The specific process is as follows: combined and integrated the advantages of the DEMATEL, ISM, and MICMAC and continuously optimized and applied them to factor analysis studies, such as a accident causes in safety management [47,52] and factors in system engineering serve society [26]. Combining the above methods can provide the following advan reducing information loss in the system, simplifying the matrix workload, and reve influencing factors from the macro and micro levels; and (2) focusing on elucida interaction relationship between system factors in three dimensions: each factor in tem, the levels of the factors, and the factors themselves.…”

“…Among them, factor analysis and SEM should be based on large volumes of questionnaires [24,25]. While it is difficult to survey all UUT pilot cities in China due to the high costs, long survey return time, and low data availability, the DEMATEL-ISM-MICMAC method can identify key factors and transform the causal relationships between factors into a visual structural model by constructing a comprehensive relationship matrix using expert knowledge [26]. Therefore, this study adopts the DEMATEL-ISM-MICMAC method and establishes a small sample data research design, which not only retains the scientific rigor of the research method but also saves time and costs.…”