Doctors' handwriting recognition and AI text based E-diagnosis have the potential to significantly improve the efficiency and accuracy of medical documentation and diagnosis in healthcare. The technology involves using artificial intelligence algorithms to transcribe handwritten notes into machine-readable text, reducing the risk of errors and improving the accessibility of medical information as well as detecting the cause of the symptom and prescribing adequate solutions for the problem or disease which reduces the risk of disease neglection and possible delay in treatment or detection. The expected outcomes are to improve patient safety, enhanced collaboration and continuity of care, and cost savings for healthcare organizations. While there are challenges in developing an effective solution, including the need for large amounts of diverse training data, the potential benefits make it a worthwhile endeavor.