---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "POC Ultrasound Guide"
developer_entity: "Ohio State University"
bundle_id: "edu.osu.pocultrasoundguide"
app_store_id: "590234691"
category: "Education"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2016-12-22"
report_date: "2026-08-14"
last_verified: "2026-08-14T00:00:00.000Z"
report_version: "3.0.1"
total_reviews: 8
overall_rating: 4.9
sentiment: "Thrilled"
sentiment_score: 90
confidence: "low"
confidence_score: 0.3
top_praise_theme: "Step by step image acquisition guides help novice sonographers learn bedside ultrasound scanning techniques effectively"
review_sample_size: 2
total_review_count: 2
analyzed_review_count: 2
data_age_days: 2
momentum_velocity: "zombie"
intelligence_version: 3
tags: ["education", "free", "thrilled sentiment", "mobile app", "app review", "app analysis", "medical", "students,", "ultrasonography"]
canonical_url: "https://marlvel.ai/apps/poc-ultrasound-guide"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

## ⚠ Content Warning

This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here.

---

# POC Ultrasound Guide Intelligence Report

## TL;DR {#tldr}

- **Category**: Education · Free
- **Signal**: Rating 4.88 · Sentiment Thrilled
- **Recent focus**: Step by step image acquisition guides help novice sonographers learn bedside ultrasound scanning techniques effectively (top praise)

> **TL;DR:** POC Ultrasound Guide is a education app by Ohio State University, rated 4.88/5 by 8 users, with Thrilled user sentiment (90/100), available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** POC Ultrasound Guide maintains Thrilled user sentiment (4.88/5 from 8 reviews), with users consistently praising step by step image acquisition guides help novice sonographers learn bedside ultrasound scanning techniques effectively.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.88/5 (8 reviews) |
| **User Mood** | Thrilled |
| **Category** | Education |
| **Developer** | Ohio State University |
| **Pricing** | Free |
| **Platforms** | iOS |
| **Confidence** | Low (0.3/1.0) |
| **Data Age** | 2d |

## Metadata & Market Performance
- **Publisher:** Ohio State University
- **Category:** Education
- **Target Audience:** Medical students, ultrasonography students, residents, and physicians requiring point-of-care ultrasound guidance.
- **Platforms:** iOS
- **Version Reviewed:** 3.0.1
- **Report Date:** 2026-08-14
- **Signal Count:** 2 reviews analyzed
- **Confidence:** Low (0.3/1.0)
- **App Store ID (iOS):** 590234691
- **Bundle ID:** edu.osu.pocultrasoundguide
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-08-14

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** POC Ultrasound Guide is an educational reference app for medical students and physicians, offering step-by-step ultrasound acquisition workflows on iOS.
**Why users hire it:** The app removes the cognitive friction of recalling specific probe selections and view requirements during bedside ultrasound training.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Point of Care Ultrasound Guide:** Step-by-step instructions for obtaining specific ultrasound views across seven clinical categories.
  * *User Intent:* Users need clear guidance to understand and adopt the product quickly.
- **[Standard] Probe Selection Guidance:** Directs users to the correct ultrasound probe for each specific clinical view.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Differentiator] Clinical Parameter Calculator:** Provides integrated tools for calculating clinical parameters within the ultrasound workflow.
  * *User Intent:* Users seek enhanced value through premium features.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

POC Ultrasound Guide maintains a 4.875 rating across 8 reviews, reflecting its utility as a niche educational tool. The lack of updates since 2016 signals that it functions as a static reference rather than an evolving clinical platform.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free
- **Analysis:** Distributed as a free educational resource by Ohio State University with no visible monetization.

<!-- section:sentiment -->
## 🟢 User Sentiment (Low Confidence: 2 of 2 reviews analyzed) {#user-sentiment}
- **Overall Rating:** 4.88/5
- **Platform Split:** iOS 4.9/5 (8 ratings)
- **Overall Sentiment:** Thrilled

### Top Praises
- **Step by step image acquisition guides help novice sonographers learn bedside ultrasound scanning techniques effectively**
- **Visual sample images provide clear references for what sonographers should look for during scans**

<!-- /section:sentiment -->
<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Step-by-step acquisition guides provide structured learning for novice sonographers
- Visual sample images offer clear anatomical references for bedside scanning
- Integrated clinical parameter calculators provide utility within the ultrasound workflow

**Growth Levers:**
- Modernizing the interface could improve usability for residents
- Adding video-based tutorials would address visual learning needs


<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The app's competitive profile has shifted from a candidate for web-migration to a recognized legacy reference tool, with SWOT analysis now explicitly documenting technical weaknesses and competitive threats. Review volume grew from 2 to 8, confirming the stability of the 4.875 rating.

**Overall trend**: Stable
**Compared at**: 2026-08-14

### High-impact changes
- **[Added] Expanded SWOT Analysis** (swot)

### Medium-impact changes
- **[Shifted] Strategic Outlook Pivot** (positioning)

### Low-impact changes
- **[Improved] Review Volume Increase** (sentiment)

<!-- section:whats-new -->
## What's New

- **Latest (v3.0.1, 9 years ago):** Technical maintenance update focused on iOS 10 compatibility.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

- No feature updates in 117 months.
- Last release occurred in 2016.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 3522 days since last update

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

POC Ultrasound Guide is an education app that is completely free.
It holds a 4.88/5 rating from 8 reviews.

<!-- speakable-start -->
> **Bottom Line:** Maintaining the current codebase as a legacy educational resource preserves existing value, but the lack of updates leaves the tool vulnerable to obsolescence as clinical standards evolve.
<!-- speakable-end -->

**Best for:** Medical students, ultrasonography students, residents, and physicians requiring point-of-care ultrasound guidance.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [MAINTAIN] Audit compatibility with modern iOS versions because the app has not been updated since 2016 → prevent potential launch failures
<!-- /section:pm-actions -->

<!-- section:outlook -->
### Outlook: Stable

Medical education tools are increasingly shifting toward video-first, cloud-synced platforms that update alongside clinical guidelines. POC Ultrasound Guide remains a static, stable reference that serves a specific niche, but its lack of development limits its long-term relevance in a fast-moving clinical environment.

- ⚪ The app has been silent for 117 months, indicating it serves as a static reference rather than an active clinical product.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.88/5 |
| Total Reviews | 8 |
| Sentiment | Thrilled (90/100) |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Trend | Stable |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **POC Ultrasound Guide** (this app) | 4.88/5 | Thrilled | Ohio State University |
| [AlgoApp - Flashcards](https://marlvel.ai/apps/algoapp-flashcards) | 4.5/5 | n/a | AlgoApp Inc |
| [Elevate - Brain Training Games](https://marlvel.ai/apps/elevate-brain-training-games) | 4.7/5 | n/a | The Mind Company |
| [Flashcards Deluxe](https://marlvel.ai/apps/flashcards-deluxe) | 4.5/5 | N/A | OrangeOrApple.com |
| [Flash Cards Flashcards Maker](https://marlvel.ai/apps/flash-cards-flashcards-maker) | 4.0/5 | Mixed | Infinite Wave Media, LLC |
| [Flashcards maker - AI generate](https://marlvel.ai/apps/flashcards-maker-ai-generate) | 4.1/5 | Mixed | Teleprompter LLC |

## Company Profile
- **Developer:** Ohio State University

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/poc-ultrasound-guide/id590234691?uo=4)
- **Sources:** App store metadata, User reviews.

## Related Intel Reports
- [*AlgoApp - Flashcards*](https://marlvel.ai/apps/algoapp-flashcards) (AlgoApp Inc) · 4.5/5 Rating
- [*Elevate - Brain Training Games*](https://marlvel.ai/apps/elevate-brain-training-games) (The Mind Company) · 4.7/5 Rating
- [*Flashcards Deluxe*](https://marlvel.ai/apps/flashcards-deluxe) (OrangeOrApple.com) · 4.5/5 Rating
- [*Flash Cards Flashcards Maker*](https://marlvel.ai/apps/flash-cards-flashcards-maker) (Infinite Wave Media, LLC) · 4.0/5 Rating
- [*Flashcards maker - AI generate*](https://marlvel.ai/apps/flashcards-maker-ai-generate) (Teleprompter LLC) · 4.1/5 Rating
- [*Impulse - Brain Training*](https://marlvel.ai/apps/impulse-brain-training) (GMRD Apps Limited) · 4.6/5 Rating
- [*Peak - Brain Training*](https://marlvel.ai/apps/peak-brain-training) (Synaptic Labs) · 4.7/5 Rating
- [*자주 틀리는 우리말*](https://marlvel.ai/apps/app--424) (DaolSoft, Co., Ltd.) · N/A Rating
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- [*타요콘 - 타요 아바타 놀이동화*](https://marlvel.ai/apps/com-kigle-project-tayocon) (KIGLE) · 3.1/5 Rating

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes).
4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.3/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 2
- **Data Sources:** user reviews, App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 2 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/poc-ultrasound-guide)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.