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What is Piccolo Health?

Optimize your echo reporting process with ease. Tailored for small medical practices, this cutting-edge reporting solution is designed to meet the demands of busy clinics. Utilizing Piccolo Health can greatly enhance your reporting efficiency. Take advantage of the automatic import of measurements that comply with ASE 2015 standards, which allows you to view normal ranges in conjunction with your data. This innovation results in significant time savings, typically between 2 to 5 minutes per report. With Piccolo Health's cloud-based platform, you have the flexibility to work from any location, liberating you from the constraints of your office. It is fully compatible with all ultrasound devices, facilitating seamless integration no matter what equipment you use. Accessing historical patient information is straightforward, and you can share studies with referring physicians and patients securely and effortlessly. After a study is finished, it becomes instantly available for reporting within Piccolo Health, ensuring that all necessary images and measurements can be reviewed at your leisure. You can effortlessly analyze images and measurements and fill out study forms to create thorough reports. Moreover, the system automatically generates findings and conclusions for you, streamlining your workflow. Ultimately, this solution revolutionizes echo reporting, making it more efficient and user-friendly than ever before, setting a new standard in the industry.

What is Intelligent Ultrasound?

At Intelligent Ultrasound, we aim to revolutionize the learning and practical use of clinical diagnostic ultrasound, making it more accessible and intuitive for users. We support a philosophy that connects classroom learning with clinical practice, firmly believing that by improving the scanning process through increased support and efficiency, we can expand ultrasound accessibility to all healthcare providers. Our focus is on offering real-time education and training through cutting-edge high-fidelity simulations specifically designed for OBGYN and general ultrasound applications. By utilizing deep-learning algorithms, we significantly improve the accuracy of ultrasound image analysis, resulting in smarter, more user-friendly machines for healthcare professionals. This innovative approach not only enhances the skills and confidence of practitioners, especially in fields like regional anesthesia and analgesia, but also provides AI-driven real-time guidance. Furthermore, our AI-powered image analysis tools are seamlessly integrated into GE Healthcare's VolusonTM SWIFT ultrasound systems, delivering crucial assistance to sonographers throughout OBGYN assessments. Ultimately, we aspire to transform the landscape of ultrasound education and practical use, ensuring that it is both efficient and accessible to a wider audience. By continuously pushing the boundaries of technology, we envision a future where ultrasound becomes an essential tool in every clinician's toolkit.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Piccolo Health

Company Location

United States

Company Website

piccolohealth.com

Company Facts

Organization Name

Intelligent Ultrasound

Company Location

United Kingdom

Company Website

www.intelligentultrasound.com

Categories and Features

Categories and Features

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