OpenAI’s Code Interpreter is doing wonders ever since it got launched. And if you are eager to learn how to Summarize Medical Records by using the tool, this short blog post is for you.
Let’s get to it…
Using OpenAI’s Code Interpreter to Summarize Medical Records
Below, I will be providing you with 2 different example prompts along with working screenshots so that you can get it done easily.
🎉 You also need to upload the required files (PDF, DOCX, TXT, PNG, JPG, and other image and document files) to the Code Interpreter for this operation. Just click on the small plus (+) icon in the left of the prompt input field to select and upload the files.
Analyze uploaded medical records in PDF or image format, extract relevant information, and summarize in simple terms. You may need to use OCR for this.
This prompt instructs the AI to examine medical records uploaded as PDFs or images, utilize Optical Character Recognition (OCR) to extract data, and summarize the crucial information in an easily understandable manner.
Analyze and extract pertinent information from medical records uploaded in PDF or image formats. Understand and interpret the medical data, including patient details, diagnoses, treatments, medications, lab results, and other relevant information. Extract and organize the data in a structured format, ensuring that the output is accurate, comprehensive, and suitable for further analysis or integration with other healthcare systems.
This prompt instructs the AI to analyze and interpret data from uploaded medical records, extract relevant information, and organize it into a structured format for accuracy and possible integration with other healthcare systems.
🎉 You can modify the above prompts as per your use case to get the desired output. OpenAI’s GPT-4 is powerful and properly understands any prompt you provide.
Also, check some other interesting things that you can do with the OpenAI’s Code Interpreter model:
I have also written a detailed post about the practical use cases of the Code Interpreter model that you may find helpful.
And if you get stuck somewhere, kindly feel free to let me know in the comments below.