Enhancing Maritime Healthcare: Design Innovations and Technical Contributions of Doctor Assistant Software

Maritime Doctor Assistant Software (DAS) represents a significant technological advancement tailored for healthcare in maritime settings, emphasizing substantial technical contributions. This study evaluates the outcomes of a project undertaken at Pusan National University School of Medicine to develop and deploy an innovative DAS. Leveraging advanced text processing techniques, including natural language processing (NLP), DAS converts unstructured clinical texts into structured data, thereby enhancing diagnostic precision. Its user interface integrates intuitive symptom input and dynamic diagnostic suggestions, underpinned by a comprehensive knowledge base sourced from validated medical literature. The software’s technical design facilitates seamless integration into clinical workflows, accommodating diverse data inputs and supporting informed decision-making by maritime medical professionals. Evaluation through usability testing and clinical validation underscores DAS’s efficacy in improving efficiency, accuracy, and confidence in diagnosing and treating maritime patients, thereby advancing healthcare outcomes in maritime environments.