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What is Synapsica?

Cutting-edge AI solutions that seamlessly integrate with your PACS and radiology workflows enable radiologists to optimize their processes and improve the quality of patient care. With the increasing demand for medical imaging, radiologists frequently find themselves inundated by vast amounts of data, which can result in more reporting errors, heavier workloads, and chaotic processes. AI technology alleviates this strain by automating repetitive tasks and standardizing measurements, allowing radiologists to generate high-quality, evidence-based reports more efficiently. This improvement not only supports referring doctors and physicians in making better-informed decisions but also cultivates a more streamlined workflow, ultimately enhancing patient care. Moreover, these systems are adept at accurately identifying, characterizing, and classifying critical elements while ensuring the highest standards of image quality and fast loading times. The integration of intelligent suggestions during report template searches, along with the option for pre-filled or customizable templates, significantly boosts standardized clinical communication and reporting efficiency. The adoption of such innovative tools empowers radiologists to devote more time to patient engagement and less to administrative tasks, fostering a more patient-centered approach in their practice. In addition, as the landscape of healthcare continues to evolve, embracing these technologies will be essential for radiology departments aiming to maintain their effectiveness and responsiveness to patient needs.

What is MiNNOVAA?

MiNNOVAA is a company focused on advancing medical information technology, particularly in medical imaging software and the sharing of medical images. Emphasizing "medical imaging innovation," we distinguish ourselves through agility and cutting-edge technology in the development of our solutions. Our primary focus areas include creating medical image viewers, optimizing radiology workflows, and integrating artificial intelligence into diagnostic reporting. Our dynamic team consists of approximately 20 talented programmers and product managers, along with experts in marketing, sales, technical support, call center operations, and administration, all committed to initiating significant changes in medical imaging and improving healthcare experiences for individuals. We provide a holistic clinical imaging IT solution specifically designed for mid-sized hospitals and imaging clinics, offering a comprehensive suite of features such as core PACS software on-premise, a DICOM web viewer, multi-platform imaging workstation software, seamless integration with EHR/EMR/HIS systems, and a robust workflow engine/RIS. Our dedication to innovation and all-encompassing solutions ultimately seeks to transform the approach and application of medical imaging within healthcare environments. By continuously evolving our offerings, we aim to not only meet current needs but also anticipate future advancements in healthcare technology.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Synapsica

Company Location

India

Company Website

synapsica.com

Company Facts

Organization Name

MiNNOVAA

Date Founded

2022

Company Location

Estonia

Company Website

minnovaa.com

Categories and Features

Healthcare AI

Not specified

Radiology

Not specified

Categories and Features

DICOM Viewers

Not specified

Medical Imaging

Not specified

PACS

Not specified

Radiology

Not specified

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