Medical records are often scattered across handwritten notes, scanned documents, and disconnected digital files, making them difficult to access and manage efficiently. This fragmentation can delay diagnosis, increase medical errors, and reduce the quality of patient care. To address this issue, an AI‑based system is proposed that converts unstructured records into standardized digital data. By linking all information through a unique patient ID, the system enables quick access to complete medical histories and supports faster, more accurate clinical decision‑making.

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