###### Abstract
Similarly, a socio-technical system comprises a social system, including structures and people, and a technical system, including technology and tasks [6; 7; 8]. Recent research has extended [PERSON]'s and [PERSON]'s divisions of subsystems to include process and outcome factors, which, together, help to explain the fit between the work system, processes, and outcomes. In the context of healthcare, [PERSON] and [PERSON] discussed how socio-technical principles guide the design of health information systems to enhance user satisfaction and system usability [9]. Similarly, [PERSON] et al. emphasized how socio-technical approaches can reduce workload stress and improve the usability of health information technologies in high-demand environments like long-term care facilities [10]. [PERSON] and [PERSON] extended this idea by presenting a socio-technical framework for EHR optimization, balancing technology implementation with organizational workflows and user training [11]. Information needs analysis is a complex subject that requires appropriate methods for effective analysis. The suitability of these methods depends mainly on the structural level of the problems that the system addresses and the clarity of requirements. The application of health information technology in long-term care has predominantly focused on improving staff usability and operational efficiency. However, there remains a significant research gap regarding health information technology's impact on nurse aides' quality of work and technical capability outcomes. While metrics such as workflow integration, decision making, and workload management are frequently evaluated, nurse-aide-centric outcomes, including person-centered care and well-being, are often underexplored. Bridging this gap necessitates a shift in research priorities to balance workforce support and deliver high-quality care. Socio-technical frameworks provide a comprehensive approach to addressing these dual priorities by emphasizing the interaction between social and technical components within caregiving systems. Recent studies highlight the importance of collaborative tools and technologies to support care delivery while addressing workforce challenges. Such frameworks ensure that HIT solutions align with the complex dynamics of caregiving environments, ultimately enhancing both staff satisfaction and resident outcomes. The adoption of socio-technical frameworks offers a pathway for advancing HIT in long-term care, addressing workforce challenges while prioritizing resident well-being. Future research should focus on refining these frameworks to achieve sustainable improvements in care delivery. This study aims to develop a decision model for the development of information needs that is aligned with effective workflow adoption, mitigating resistance, and enhancing the productivity and management processes of nursing assistants in long-term care facilities, as needs analysis is a crucial phase in the development of information systems. In addition, the identification of critical drivers from both job satisfaction and work effectiveness perspectives is not only applied to promote organizational success, but also provides a conceptual framework from both practitioner and academic perspectives.