Automation of doctors prescription's image 2 Computer Vision Project

Here are a few use cases for this project:

1. Medication Transcription: This computer vision model can be used by pharmacies or hospitals to transcribe doctors' handwritten prescriptions into digital form, ensuring that the correct medication and dosage information is captured and understood accurately.

2. Drug Adherence Verification: The model could be employed to verify if patients are taking their prescribed medication on time. It could be used to scan images of medication bottles or packaging, confirming that the correct medication is being taken and identifying any potential medication errors.

3. Pharmaceutical Research: Researchers can use this model to analyze large volumes of prescriptions, helping them understand patterns in medications prescribed for specific diseases. This can lead to valuable insights into treatment outcomes, overprescription, or underprescription practices.

4. Integrated Healthcare Systems: In a more integrated healthcare system, this model could work as part of a comprehensive platform. It could allow the instant uploading of prescriptions into a patient's digital health record, helping doctors to track medication history and potentially flagging drug interactions.

5. Drug Inventory Management: Pharmacies could use the model to automate the process of inventory management by scanning doctors' prescriptions. The system could automatically update stocks of various drugs, helping with demand forecasting and ensuring vital drugs are always available.