Effective communication between doctors and patients is essential for high-quality healthcare delivery. However, barriers such as time constraints, complex medical terminology, and patients' difficulty articulating symptoms often hinder clear and efficient exchanges. This study aims to enhance patient-doctor communication by introducing a technology-assisted approach that utilizes a graphical interface based on sign values to improve symptom reporting. The proposed system translates patient-reported symptoms into intuitive visual representations, allowing for more precise and structured communication. A structured methodology was applied, including data collection from 74 anonymized patient cases, integration with the Doctor-Aid diagnostic model, and validation against established medical standards. The findings suggest that this approach reduces miscommunication, enhances diagnostic accuracy, and streamlines information exchange between patients and healthcare providers. The study concludes that integrating digital tools into clinical settings can significantly improve communication efficiency and patient outcomes. The practical implications highlight the potential for widespread adoption of graphical communication aids in diverse healthcare settings, ultimately fostering better patient engagement, minimizing errors, and improving the overall quality of care.