Build a medical AI library you will actually use again

Build around a recurring question

A useful medical library starts with a job you repeat: preparing a journal club, checking the wording of a local protocol or comparing a new guideline with a previous edition. A folder containing every PDF you have ever downloaded makes that job harder to define. Start with a small collection whose purpose you can explain in one sentence.

MedSafeAI's AI Library lets you upload protocols, guidelines and documents and return to them for later questions. The value is continuity: your next research question can build on the material you have already gathered, instead of beginning with another search for the same files.

Make the source and version obvious

Before uploading, give each document a recognizable name that includes its subject, issuing organization and version or year. Keep the original source link in your research notes. Check that the document is readable and that any tables you need are legible; an unclear scan makes careful comparison difficult.

For a first collection, choose one current guideline, the relevant local protocol and a few research papers connected to your question. Distinguish these roles in your notes. A local policy, a guideline and an individual study answer different questions; storing them together does not make them interchangeable.

• Record the title, issuing organization and publication date.
• Identify the version you intend to use and any edition it replaces.
• Write down the question this document will help answer.
• Keep a source link so you can check for an update later.

Ask questions that point back to the documents

A general request to summarize everything can conceal which document contributed which statement. Ask for a bounded comparison and the location of the supporting passage. Treat any requested table or source location as an output to check against the original, not as a guarantee that every passage was retrieved correctly.

Try this prompt: “Using the documents in this collection, compare how they define [topic]. For each document, give the relevant wording, section or page when identifiable, publication date and important qualifications. Separate explicit statements from your interpretation. Say when the documents do not answer the question.”

For an update, ask: “Compare the earlier and later versions of [document]. What wording changed, what remained the same and which changes need closer reading? Point me to the relevant sections.” This turns a broad summary request into a specific reading task.

Use gaps to guide the next search

Your library reflects what you put in it. When a question is not answered by the collection, label that gap and investigate it with Evidence Search. Keep newly found evidence separate from the original document's statements until you have read it. This helps prevent an answer from silently blending your local material with unrelated research.

When you return to the collection, note which sources you checked and whether a newer edition has appeared. You can maintain that review note alongside your documents; you do not need to assume that uploading a file makes its contents permanently current.

Start with three documents and one useful output

Create your first AI Library collection around one recurring research task. Add three relevant documents, ask a focused comparison question and check the important passages. Keep the resulting source-linked note for the next session. The goal is a collection you can question repeatedly, with enough context to understand its answers. Use material you are authorized to upload and follow your institution's rules for confidential information.