If documentation feels like it takes as long as the visit itself, you're not alone. Oncology patients tend to have complex histories, multi-system involvement, and lengthy prior treatment courses, all of which end up in the note. Multiply that across a full clinic day and the documentation burden adds up quickly.
The good news: there are two ways Doximity's AI tools can help, depending on where you are in the workflow.
Part 1: Document live visits with Doximity Scribe
Doximity Scribe is an AI medical scribe that listens during your patient visit and generates a structured clinical note automatically. No typing during the encounter. No dictating into a separate app. Just have the conversation, and Scribe produces a draft ready for your review. For oncology visits, which often involve detailed treatment histories, symptom reviews, and multi-part assessments, Scribe can cut the time between seeing a patient and finishing the note significantly.
A few things oncologists find useful about Scribe:
- It works on your existing phone or desktop, with no additional hardware
- It handles oncology-specific language, treatment names, and clinical shorthand
- Notes are generated as editable drafts, so you stay in control of the final version
- Because Scribe is HIPAA-compliant, the full patient conversation is handled securely, something you can't assume with general voice-to-text tools
Scribe is free for all verified Doximity members. If you haven't tried it yet, a routine follow-up visit is a good place to start.
Part 2: Reformat and restructure existing notes with Doximity Ask
For visits that have already happened, or when you're working from prior notes, Doximity Ask is the faster path. You can paste or upload an existing note, a patient summary, an imaging report, or encounter details, and ask the AI to restructure it exactly the way you need it. Because Doximity Ask is HIPAA-compliant, uploading patient records or pasting clinical notes is something you can do with confidence. This is one area where HIPAA compliance really matters: the ability to bring real patient information into your AI workflow is what makes the output actually useful, and it's not something you can do safely with generic AI tools that weren't built for healthcare.
Oncologists are using this workflow to generate:
- SOAP notes with ICD codes based on COC 4.8 guidelines
- Radiation oncology assessments and plans from pasted patient data
- Discharge summaries for complex cases like stage IV carcinosarcoma with recurrent ascites
- Survivorship notes tailored to specific visit types
The most efficient approach is to attach or paste an existing document and give Doximity Ask a specific formatting instruction. Something like "create an A&P," "write this in paragraph form," or "combine assessment and plan, no bullets" can turn a lengthy reformatting task into a quick revision. Short instruction, structured output.
