Draft a Discharge Summary From a Recorded Dictation
This tool turns a dictated discharge consultation into a transcript and an AI-drafted summary you can edit. Record on your phone or in the browser, or upload an audio or video file you already have, and start from a draft instead of writing the summary from nothing.
ScreenApp is not HIPAA compliant and does not sign a Business Associate Agreement (BAA). Use it for de-identified dictation: describe the case using a case number or initials instead of the patient’s name or other identifying details, and add those back in yourself, in a HIPAA-compliant system, when the document needs to go in the chart.
What you get:
- A transcript with timestamps, in 100+ languages
- AI chat with any recording, so you can ask it to expand a section, rewrite it in plain language, or pull out the medication list
- AI templates and documents, including a structure you can adapt for a discharge-summary draft
- custom vocabulary for transcription, so drug names and clinical terms come out spelled correctly
- Export the transcript and draft as PDF, DOCX, TXT, SRT and VTT
- Free plan: 2 transcriptions of recordings up to 45 minutes each, with AI chat
How to Draft a Discharge Summary
- Record or upload the dictation: Record the discharge consultation on your phone or in the browser, or upload an audio or video file (MP3, WAV, M4A, MP4, MOV) you already have. Keep it de-identified: use a case number or initials instead of the patient’s name.
- Ask the AI for a draft: Once the transcript is ready, use AI chat to ask for a discharge-summary structure: reason for admission, hospital course, medications, and follow-up. The AI drafts the text from what is in the transcript.
- Review and finish it: Read the draft against the transcript, add the patient’s identifying details back in inside your own system, and correct anything the AI got wrong before it goes in the chart.
Accuracy depends on the recording: a clear dictation into a phone microphone in a quiet room transcribes well, and a hallway conversation with background noise will have gaps. See how we measure accuracy.
AI Discharge Summary Generator vs Other AI Notetaking Tools
| Feature | ScreenApp | Otter.ai | Rev Voice Recorder | Notability |
|---|---|---|---|---|
| Free recording | 2 transcriptions, up to 45 min each | 300 min/month, 30 min per conversation | Recording free, transcription paid | Needs Plus ($15.99/year) |
| Transcription | Included | Included within the minute cap | $25.49/mo (AI, billed annually), $1.99/min (human) | Included with Plus |
| Languages | 100+ | 6 | Not stated | Not stated |
| Paid plan | $19/month annual | $8.33/month annual | $25.49/month annual | $15.99/year |
Sources, checked 2026-10-01: screenapp.io/accuracy#languages, ScreenApp pricing, otter.ai/pricing, notability.com/pricing, rev.com/pricing
- vs Otter.ai: Otter’s free plan caps you at 300 minutes a month and 30 minutes per conversation. Otter does not publish a discharge-summary or clinical-note template; ScreenApp can draft one from the transcript on request.
- vs Rev Voice Recorder: Rev’s recorder is free but transcription is pay per minute at $25.49/month (billed annually) for AI transcripts, and it has no AI drafting step. ScreenApp’s plans include transcription, AI chat, and templates.
- vs Notability: Notability is a handwriting and note-taking app. Audio recording and transcription need the Plus plan at $15.99 a year, and there is no AI draft.
None of these three publish HIPAA compliance for clinical use either, so like ScreenApp they are general recorders, not clinical documentation systems.
Who Drafts Discharge Summaries With ScreenApp
Hospitalists and inpatient physicians dictate the discharge consultation between patients and use the AI draft as a starting point for the hospital course, medications, and follow-up plan, then add the patient’s details back in inside their own system before it goes in the chart.
Residents and trainees practice writing structured discharge summaries: dictate a de-identified case, get a first draft, and compare it against what a supervising physician expects.
Nursing staff and case managers dictate a de-identified example of a patient education handout, then adapt the wording for a real patient by hand in their own systems.
Medical educators record a mock discharge conversation for teaching, then use the transcript and the AI draft as a worked example for students learning documentation structure.
Writers of training material and documentation templates working in NHS, US, or Australian formats dictate a de-identified example case and get a structured draft to adapt into a template.
