Medical Secretaries: Time Management and Organizational Skills in The Digital Era-An Updated Review.
Main Article Content
Abstract
Background: The role of medical secretaries in healthcare settings, particularly within diagnostic departments like radiology and medical practices, has gained significance over time, yet their contributions remain underexplored. With the digitization of healthcare services and the introduction of collaborative electronic information systems, secretaries are increasingly central to the workflow in diagnostic procedures. Their involvement in managing patient information, scheduling, and clinical decision-making has evolved, impacting the overall diagnostic process.
Aim: This study investigates the evolving role of medical secretaries in the digital era, focusing on their integration within collaborative systems such as OPUS-OCW and RIS-PACS. It aims to explore their influence on diagnostic workflows and the complexities of balancing administrative and clinical tasks.
Methods: This review examines existing literature and theoretical frameworks, coupled with an analysis of real-world scenarios within medical and radiology departments. The study explores how secretaries use electronic systems to support diagnostic procedures and patient care, with a focus on their influence in four key tasks: evaluating patient conditions, making clinical decisions, ensuring appropriate follow-up, and monitoring patient progress.
Results: The integration of OPUS-OCW and RIS-PACS systems has redefined the role of medical secretaries. Their responsibilities have expanded from mere administrative tasks to core activities that directly impact clinical decision-making and patient care. These systems have streamlined communication between departments and enabled secretaries to handle more complex clinical duties efficiently.
Conclusion: Medical secretaries are integral to the healthcare system, bridging clinical and administrative duties. Their role has evolved with technological advancements, requiring them to adapt to new systems and take on more responsibilities in patient management. A deep understanding of their function within diagnostic workflows is essential for optimizing healthcare delivery.