چكيده لاتين
Information overload in clinical settings is one of the major challenges in the healthcare domain, significantly impacting clinical decision-making processes and the performance of professionals in this field. This phenomenon can lead to reduced focus, increased medical errors, diminished quality of patient care, and decreased job satisfaction among healthcare professionals. Given the rapid growth of medical knowledge and the necessity for accurate and timely information processing, identifying factors contributing to clinical information overload and proposing effective management strategies is both essential and unavoidable.
This study aims to identify and prioritize causes and factors influencing clinical information overload among clinical practitioners at Isfahan University of Medical Sciences and to offer managerial solutions to mitigate this issue. The research is applied in nature and employs a mixed-methods design with a sequential exploratory approach, conducted in four phases. In the first phase, a conceptual review of information sources was performed to identify contributing factors, consequences, and various management strategies for information overload Data were extracted from Scopus, Web of Science, PubMed, and Emerald databases. In the second phase, semi-structured interviews with 19 clinical experts were conducted, and qualitative data were analyzed using MAXQDA software to identify factors and management strategies from their perspectives. In the third phase, 77 clinical practitioners participated in a modified Delphi method to prioritize the identified factors. Finally, in the fourth phase, based on the findings from previous stages, a conceptual model for managing clinical information overload was developed.
The results revealed that factors influencing clinical information overload include individual factors, informational factors, technological aspects, clinical documentation practices, educational factors, task-related and clinical process factors, as well as managerial and organizational elements. From the perspective of experts, managerial and organizational factors play the most significant role in causing clinical information overload. Proposed managerial solutions were also developed within these seven domains.
Adopting a comprehensive approach that includes optimizing information systems, improving documentation processes, enhancing specialized training programs, and formulating effective managerial policies can significantly reduce clinical information overload and improve the quality of healthcare services.