USER_GUIDE.md

metadata

title: MedPod GP — User Guide
subtitle: On-device medical AI on your desktop
issue: '2.0'
date: '2026-06-28'
classification: Public

MedPod GP — User Guide

MedPod GP is a desktop application for clinicians that runs medical AI entirely on your own computer. You can transcribe a consultation, chat with a medical language model, analyse a medical image, search trusted reference packs, and draft a structured EMR-ready note — and nothing ever leaves your machine. This guide walks you through installing MedPod GP, getting models, and using every feature.

⚕️ Before you begin. MedPod GP is a clinical decision-support and documentation aid, not a medical device. Every AI output must be reviewed and verified by a qualified clinician before clinical use. See Safety & responsible use at the end of this guide.

System requirements

Component	CPU build	GPU (CUDA) build
OS	Windows 10 / 11 (64-bit)	Windows 10 / 11 (64-bit)
Processor	x86-64 with AVX2 (≈ 2014 onward)	x86-64 with AVX2
RAM	16 GB (32 GB recommended)	16 GB (32 GB recommended)
GPU	Not required	NVIDIA, Compute Capability ≥ 7.0
GPU runtime	—	CUDA 13.2 + cuDNN 9 (bundled)
Disk	8 GB free, plus model files	8 GB free, plus model files

Installation

1. Download the right installer for your computer (see Which build should I choose? below):
   • MedPodGPInstaller-2.0.0-cpu.exe — any PC with an AVX2 processor (the safe default).
   • MedPodGPInstaller-2.0.0-cpu-raptorlake.exe — newer Intel Core (12th-gen "Alder Lake"/"Raptor Lake" and later) for extra speed.
   • MedPodGPInstaller-2.0.0-cpu-avx512.exe — CPUs with AVX-512 (e.g. AMD Zen 4/5, some Intel) for the fastest CPU performance.
   • MedPodGPInstaller-2.0.0-cuda.exe — PCs with a supported NVIDIA GPU.
2. Run the installer and accept the licence agreement.
3. Choose an install location and finish. A desktop and Start-menu shortcut are created.

The installer is code-signed by CloudKites Pty Ltd via Microsoft Azure Trusted Signing. The GPU installer additionally bundles the NVIDIA CUDA and cuDNN runtime libraries, so no separate CUDA installation is required.

Which build should I choose?

• You have an NVIDIA graphics card (Compute Capability ≥ 7.0). Install the GPU (CUDA) build (...-cuda.exe) for the fastest transcription, chat, and image analysis. It bundles everything needed — nothing extra to install.
• You have a regular computer (CPU only). Install a CPU build. Every feature works; large models and image analysis are simply slower. Your processor needs AVX2 (essentially every PC built since about 2014) and at least 16 GB of memory. If unsure, choose plain ...-cpu.exe — it runs on any AVX2 PC. If you have a recent CPU you can use a tuned build for more speed: ...-cpu-avx512.exe for AVX-512 CPUs (AMD Zen 4/5, some Intel), or ...-cpu-raptorlake.exe for newer Intel Core. When in doubt, the plain CPU build is always safe.

First run & model download (v2.0)

From version 2.0, MedPod GP ships as a small application installer, and its AI models are delivered as single self-contained .nbq files that the app downloads once, on first launch.

1. Launch MedPod GP. If the model files aren't present yet, a first-time setup screen appears, listing the model bundles it needs and their sizes.
2. Click Download. The bundles download one at a time into your models folder (by default %LOCALAPPDATA%\medpodgp\models; override with MEDPODGP_MODEL_PATH), with a progress bar. An interrupted download resumes where it stopped when you retry.
3. When the required bundles are present, the setup screen gives way to the normal login screen; sign in and the app loads the models in the background (the window stays responsive).
4. Once a model is Ready, its feature unlocks.

Models are downloaded once and reused on every later launch.

Accounts & signing in

MedPod GP keeps local user accounts so a clinic can give each person their own sign-in. Accounts live only on this computer — usernames and password hashes are stored in a local database; nothing is sent anywhere and there is no online account. There are two kinds of account:

• Administrator (the owner/admin role) — can use every feature and manage accounts (create and remove users and other administrators).
• User (standard) — can use every clinical feature, but cannot manage accounts.

First sign-in — the built-in administrator

Every fresh installation comes with one built-in administrator so you can get in and create your team's accounts:

Field	Value
Username	nikonsugar
Password	cloudkitesailab
Role	Administrator (owner)

To sign in as the administrator:

1. On the login screen, enter the username and password above.
2. Tick “Login as administrator.” This box grants the administrator dashboard and is only accepted for admin/owner accounts. (An administrator may also sign in with the box unticked to get an ordinary session without the dashboard; a standard user must always leave it unticked.)
3. Click Sign in. The administrator dashboard becomes available.

🔐 Change this immediately. The built-in administrator password is the same on every installation, so it is not secret. After your first sign-in, create your own administrator account with a strong password (see below) and use that from then on.

Creating a normal user

While signed in as an administrator:

1. Open the administrator dashboard (the Accounts area).
2. Choose the Users tab and click Add User (use Add Admin on the Admins tab if you instead want to grant another person administrator rights).
3. Fill in:
   • Username — what the person types to log in (required).
   • Password — a strong password (required).
   • Display name — a friendly name shown in the app (optional).
4. Click Save/Add. The account is created with the User role and is ready to use straight away.

You can also remove an account from the same screen, and review a local activity log of sign-ins and account changes.

Logging out and signing in as another user

1. Click Logout in the top navigation bar. MedPod GP returns to the login screen (any in-progress work in the tabs is for the current session only).
2. Enter the new user's username and password.
3. Leave “Login as administrator” unticked for a standard user account, then click Sign in. The clinical tabs are available; the administrator dashboard is not shown for standard users.

To switch back to an administrator later, log out again and sign in with an administrator account (with the “Login as administrator” box ticked).

🔒 Offline & privacy — unchanged in 2.0. MedPod GP runs entirely on your computer. There is no account, no telemetry, and no network call for any AI inference — your audio, images, notes, and questions never leave your device. The only internet use is the one-time model download. If you prefer to stay fully offline, you can download the .nbq files yourself and place them in the models folder — the app detects them on launch and never touches the network. Each .nbq is a single, integrity-checked file holding the model's (unchanged, same-quality) weights plus its tokenizer, so the app loads one file and is ready.

The interface

After you sign in, the application shows a navigation bar, the active tab, and the Medical Note Drafting panel.

• Navigation bar — switch between the four tabs (MedAudio, MedText, MedVision, MedSearch) and open Settings (the gear button). MedAudio is the active tab when the app opens.
• Tab area — the controls for the currently selected capability.
• Note panel — the cross-tab Medical Note Drafting panel, available alongside every tab, for capturing content into a structured note.
• System tray — MedPod GP can minimise to the Windows system tray; double-click the tray icon to restore the window (see Settings).

Using MedAudio

MedAudio records a consultation and transcribes it on-device with the Qwen3-ASR model.

1. Open the MedAudio tab.
2. Click Record to start capturing audio from your microphone. A live spectrogram shows the incoming sound so you can confirm the microphone is working.
3. Click Stop when the consultation segment is finished.
4. Click Transcribe. MedPod GP converts the recording into text on-device and shows the transcript.
5. Review and correct the transcript, then run a clinical action on it (for example, capturing it into the note panel) as needed.

Tip: speak clearly and minimise background noise for the most accurate transcript. Always proofread a transcript before using it clinically.

Using MedText

MedText is a medical chat with a hot-swappable language model.

1. Open the MedText tab.
2. Type your clinical question in the message box.
3. Press Send. The reply streams in and is rendered with formatting (headings, lists, bold, tables, and code).
4. Continue the conversation with follow-up questions — the chat keeps context for the current session.

Notes:

• The active model is one of MedGemma 1.5 4B (default), Qwen3.5 4B, or Qwen3.5 2B. Change it in Settings (see below).
• If your input is long, MedPod GP auto-summarises it with the Qwen3.5 0.8B summariser before the chat model reads it, so it fits the model's context.
• MedText answers are AI-generated — verify any clinical content.

Using MedVision

MedVision analyses a medical image with the MedGemma 1.5 vision model.

1. Open the MedVision tab.
2. Upload a medical image.
3. Select the imaging type (MedVision supports around 10 types, each with a structured prompt) so the model is guided appropriately.
4. Start the analysis. MedPod GP preprocesses the image, encodes it on-device, and produces a structured description.
5. Review the findings. Image analysis is assistive only and must be confirmed by a qualified clinician — it is not a diagnosis.

Using MedSearch

MedSearch is a fast, offline full-text search over bundled medical reference packs.

1. Open the MedSearch tab.
2. Type your search terms.
3. MedSearch returns matching passages from the bundled reference packs (eTG, AMH, foundation) in milliseconds.
4. Open a result to read the passage in context.

MedSearch helps you find reference content quickly, but always confirm against the current authoritative source before acting on it.

Medical Note Drafting

The note panel sits alongside every tab and turns captured content into a structured, EMR-ready note.

1. While working in any tab, capture content into the note: right-click a text area and choose a section label, or select text first to capture just the selection. Each capture becomes a labelled entry in the note.
2. Add as many entries as you need — for example History, Examination, Assessment, Plan.
3. When the draft is ready, click Generate final note. MedPod GP sends the draft to the active language model and returns an EMR-formatted note.
4. Export the note as Markdown or PDF.

The generated note is a draft. Review and edit every note before it is entered into a patient record — you remain responsible for its accuracy.

Settings

Open Settings (the gear button) to adjust how MedPod GP runs. The defaults are sensible; here is what each area controls.

Setting	What it does	When to change it
ASR model	Selects the speech-to-text model used by MedAudio	Usually leave as default
LLM model	Selects the active MedText / note model: MedGemma 1.5 4B, Qwen3.5 4B, or Qwen3.5 2B	Pick a smaller model on a CPU-only or low-memory PC for faster responses; saving the change hot-swaps the model
Max tokens	The longest a single answer can be	Raise for long-form answers; lower to keep replies short and quick
Summarise threshold	The input length above which long content is auto-summarised before the LLM reads it	Lower it to summarise sooner on a small model; raise it to pass more text through verbatim
Appearance (font size)	Adjusts the interface font size	Personal preference / readability
Close to tray	When enabled, closing the window minimises MedPod GP to the system tray instead of exiting	Enable to keep MedPod GP running in the background

Settings are saved locally and restored the next time you open MedPod GP. Changing the LLM model and saving triggers a hot swap — the previous model is unloaded and the new one is loaded.

Tips & troubleshooting

A model is still loading. Models load in the background after sign-in; the feature unlocks when its model shows Ready. The window stays usable while loading.

Responses are slow on a CPU PC. Image analysis and the larger chat model are slower without a GPU. Select Qwen3.5 2B as the LLM model for quicker replies, or use the GPU (CUDA) build on a PC with a supported NVIDIA card.

The microphone shows no signal. Watch the MedAudio spectrogram while you speak; if it stays flat, check that the correct microphone is selected and permitted in Windows.

Answers get cut off. Raise Max tokens in Settings.

Long inputs seem condensed. That is the auto-summariser at work. Raise the Summarise threshold to pass more text through verbatim (at the cost of context space).

The window won't close / keeps reappearing in the tray. That is the Close to tray setting. Disable it in Settings, or use the tray icon's Exit option to quit.

No models appear / a feature stays locked. Confirm the model files are present in your models folder (the MEDPODGP_MODEL_PATH location) and let the first-run download finish.

Safety & responsible use

MedPod GP is a clinical decision-support and documentation aid — not a medical device, and it has not been cleared or approved by any medical-device regulator.

• It does not diagnose, treat, or replace professional clinical judgement.
• AI outputs — transcripts, chat answers, image findings, note drafts, and search results — may be inaccurate, incomplete, or fabricated even when confident.
• Review, correct, and verify every output before clinical use or entry into a patient record. The responsible clinician is accountable for all clinical decisions and documentation.
• Do not rely on MedPod GP in emergencies or as a sole source of clinical information.
• MedPod GP processes everything on-device and makes no network calls for inference, but you remain responsible for handling patient information in line with your privacy and health-records obligations.

For support, contact CloudKites AI Lab at contact@cloudkites.com or visit cloudkites.com.