# Features Explained This file is a practical operator-oriented overview of major Ped-AI features. It intentionally describes the current fork, not historical browser Whisper behavior. ## Clinical Documentation Ped-AI generates pediatric clinical notes from typed input, dictation, or recorded audio. Major workflows include live encounters, dictation cleanup, sick visits, well visits, SOAP notes, hospital courses, chart review, ED documentation, and developmental milestones. Model selection is available per task where the UI exposes a tab-level selector. Admin defaults provide the baseline model and user/task choices can override that baseline. Generated notes can expose post-note helper panels. Billing suggestions and don't-miss review are clinician-facing. Patient education handouts are parent-facing drafts generated from the edited note, with optional diagnosis, medication, and preferred-language context. The clinician must verify the handout before sharing it. ## Phone Extensions And Pagers The bedside tools include a per-user phone extension and pager directory. Entries support active/trash views, search, soft delete/restore, permanent purge, ZIP export, and JSON/ZIP import. Import preview flags exact active duplicates, exact trashed matches that can be restored, and possible duplicates before committing changes. ## Speech Final transcription is server-side through LiteLLM. Configure upstream STT providers in LiteLLM rather than in Ped-AI. Browser-native Web Speech is only an explicit opt-in preview path. It is not the final clinical transcript and may use browser-vendor cloud services. Browser Whisper and browser-local model workers are removed. Do not expect a pre-download model button, public Whisper worker, or bundled Xenova model path. ## Text To Speech The voice preview button calls LiteLLM TTS and plays the returned audio in the browser. If preview is silent, check that a LiteLLM voice is selected, the gateway is configured, the user is authenticated, and browser autoplay has not blocked playback. ## Learning Hub Learning Hub is both a learner-facing content area and an admin/moderator CMS. - Articles and pearls render sanitized content. - Quizzes support single-answer, multi-select, and true/false questions. - Presentations use Marp-style markdown with preview and PPTX export. - AI generation can use topic text, uploaded source files, or connected Nextcloud WebDAV files. - Categories can organize content without deleting the content when category assignments change. ## Nextcloud WebDAV Users can connect a Nextcloud account with an app password. Learning Hub AI generation can browse files from the connected WebDAV account, and users can set a default browse path to avoid repeatedly navigating to the same clinical content folder. ## Documents And S3 Document upload is optional and depends on S3-compatible storage configuration. Treat uploaded documents as PHI unless you have a separate deployment reason not to. ## Audio Backups Audio backups exist to recover failed transcription attempts. - They are created when transcription fails. - They are encrypted before persistent storage. - They expire automatically. - Users can retry or delete them from Settings. ## My Resources Personal teaching material a user generates for themselves: a presentation or a document, built from a subject and optional instructions, optionally grounded in PubMed, web search, and the clinical corpus, and optionally carrying generated figures. Decks are stored as a typed deck rather than as markdown, and `scripts/render_pptx.py` (python-pptx) renders that deck to PowerPoint; `scripts/render_docx.py` (python-docx) renders the same typed source to Word. Export also offers PDF, via Gotenberg, and plain markdown. An optional vision review pass renders the deck, looks at the slides, and returns layout fixes; it is off by default. Full detail in [`my-resources.md`](my-resources.md). ## Clinical Assistant Answers clinical questions against the indexed corpus rather than from model memory: Ped-AI asks the MCP retrieval service for sources, builds a grounded prompt, and renders the answer with citations and source cards. Answers are deliberately never cached. Full detail in [`clinical-assistant.md`](clinical-assistant.md). ## Admin Panel Admins can manage users, roles, registration, security settings, model defaults, prompts, logs, and Learning Hub content. Production deployments should enable SSO/2FA and restrict admin access. ## Feature Status | Feature | Status | Notes | |---|---|---| | Clinical note generation | Active | Provider depends on `AI_PROVIDER`, defaulting to LiteLLM when a gateway is configured. | | Server transcription | Active | Routed through LiteLLM; the upstream vendor is a gateway choice. | | Browser Web Speech preview | Optional | Explicit opt-in only. | | Browser Whisper | Removed | No public worker or model download path. | | Learning Hub CMS | Active | Articles, pearls, quizzes, presentations. | | Nextcloud WebDAV | Active | Used for file browsing/content import. | | Patient handouts | Active | Parent-facing, note-derived, preferred-language draft. | | Extension transfer | Active | ZIP export plus JSON/ZIP import preview. | | Audio backups | Active | Failure recovery only. | | TTS preview | Active | Depends on configured provider. | | Clinical Assistant | Active | Grounded answers over MCP retrieval, with citations and source cards. | | My Resources | Active | Personal teaching decks and documents, rendered by python-pptx / python-docx. | | Deck vision review | Optional | Off by default; one pass, admin-configurable model. | | Passwordless sign-in codes | Active | Emailed 6-digit code; password sign-in always stays available. | | Personal notes | Active | Including dictation, with trash and restore. | ## Troubleshooting - Check browser console for frontend errors. - Check `docker logs pediatric-ai-scribe -f` for backend errors. - Check `/api/health` for service status. - Check provider credentials and model names before debugging UI state. - For Learning Hub file import failures, verify Nextcloud URL, username, app password, and folder path.