Healthcare & Life Sciences / Monitoring, Imaging & Diagnostics Tech

Best Radiology Workflow Automation Companies

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What is Radiology Workflow Automation?

The radiology workflow automation market improves the efficiency and accuracy of radiology processes through technology. This includes tasks such as patient scheduling, exam and procedure ordering, patient document management, report generation, and communications. Software solutions and platforms integrate with radiology information systems and picture archiving and communication systems to automate and orchestrate workflows. By reducing manual processes and improving efficiency, this market aims to enhance productivity, reduce turnaround times, improve patient care, and optimize resource utilization in radiology departments.

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Top Radiology Workflow Automation Companies

Viz.ai logo
Viz.ai

United States / Founded Year: 2016

Viz.ai provides artificial intelligence (AI) enabled care coordination solutions in the healthcare sector. Their services include analyzing medical imaging data with cleared algorithms to provide insights and assessments for diagnosis and treatment decisions. Viz.ai serves healthcare providers and collaborates with life sciences partners. It was founded in 2016 and is based in San Francisco, California.

Known Partners

Illuminate, Microsoft, HOPPR, and 2 more

Key People

Christopher Mansi, David Golan, Manoj Ramachandran, and 2 more

Rad AI logo
Rad AI

United States / Founded Year: 0000

Rad AI provides artificial intelligence solutions for the radiology sector. It focuses on helping physician workflows and patient care. The company offers a suite of products that automate radiology reporting, impressions, worklist prioritization, and patient follow-ups, aiming to save time for radiologists and reduce burnout. It serves the healthcare sector. It was founded in 2018 and is based in San Francisco, California.

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Key People

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Sirona Medical logo
Sirona Medical

United States / Founded Year: 0000

Sirona Medical specializes in providing a cloud-native radiology operating system known as RadOS, which serves the healthcare sector by modernizing radiology practices. The company offers an AI-powered platform that integrates various radiology IT applications, such as diagnostic viewing, reporting, and image archiving, accessible from anywhere to enhance workflow efficiency and productivity. Sirona Medical's solutions cater to radiology practices looking to streamline operations and leverage advanced technology for improved patient care. It was founded in 2018 and is based in San Francisco, California.

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Known Customers

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Key People

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All Companies in Radiology Workflow Automation

Agamon Health logo
Agamon Health

Israel / Founded Year: 0000

Agamon Health is a digital health company that provides AI-powered solutions in the healthcare sector. The company's offerings include follow-up management and care gap closure using generative AI, aimed at improving staff productivity and patient adherence to follow-up care. Agamon Health serves healthcare systems, imaging centers, and cancer centers, offering customizable solutions to address various clinical needs. It was founded in 2019 and is based in Tel Aviv-Yafo, Israel.

Known Partners

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Key People

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Core Sound Imaging logo
Core Sound Imaging

United States / Founded Year: 0000

Core Sound Imaging provides medical imaging workflow solutions within the healthcare technology sector. The company has a cloud-based PACS system that allows access to diagnostic and procedural images, sharing, and integration with AI, EMR, and RIS systems. Core Sound Imaging serves hospitals, clinical specialties, teleradiology, research, education programs, veterinary services, and point-of-care facilities. It was founded in 2007 and is based in Raleigh, North Carolina.

Key People

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NeuralMed logo
NeuralMed

Brazil / Founded Year: 0000

NeuralMed is a healthcare company that leverages artificial intelligence to transform structured and unstructured data into essential information for improving patient quality of life and optimizing healthcare sector outcomes. The company's main offerings include intelligent patient triage through automatic analysis of medical imaging and reports, as well as identifying patients of high relevance by analyzing clinical progress and test results without altering existing medical workflows. It was founded in 2018 and is based in Sao Paulo, Brazil.

Key People

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Oxipit logo
Oxipit

Lithuania / Founded Year: 0000

Oxipit focuses on artificial intelligence for medical imaging within the healthcare sector. Its main offerings include an AI-powered tool for double-checking radiologist reports to identify errors and an autonomous imaging product that generates patient reports for cases with no detected abnormalities. These solutions aim to improve diagnostic quality and reduce radiologists' workload by automating certain processes. It was founded in 2017 and is based in Vilnius, Lithuania.

Known Partners

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Key People

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PaxeraHealth logo
PaxeraHealth

United States / Founded Year: 0000

PaxeraHealth provides medical imaging solutions and AI-assisted imaging technology within the healthcare sector. The company offers products including enterprise imaging systems, radiology information systems (RIS), and picture archiving and communication systems (PACS), aimed at improving radiology workflows and diagnostic accuracy. PaxeraHealth's AI authoring platform supports the development of clinically validated imaging AI algorithms, which are integrated into radiologists' workflows. It was founded in 2009 and is based in Newton Center, Massachusetts.

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RedBrick AI logo
RedBrick AI

United States / Founded Year: 0000

RedBrick AI specializes in medical data annotation tools for the radiology AI sector. The company provides a platform for rapid and collaborative annotation of radiological images, such as CT, MRI, and ultrasound scans, with a focus on building high-quality training datasets for AI development. RedBrick AI's services are primarily utilized by healthcare AI teams and professionals involved in medical imaging AI. It was founded in 2020 and is based in Claymont, Delaware.

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See-Mode Technologies logo
See-Mode Technologies

Australia / Founded Year: 0000

See-Mode Technologies focuses on AI-enhanced ultrasound reporting within the medical imaging sector. The company provides software that analyzes ultrasound images to produce radiology reports, including the detection and characterization of thyroid nodules and breast lesions. See-Mode's technology serves healthcare institutions by contributing to ultrasound reporting. It was founded in 2017 and is based in Melbourne, Australia.

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Smart Reporting logo
Smart Reporting

Germany / Founded Year: 0000

Smart Reporting specializes in medical reporting and documentation software within the healthcare sector. The company offers solutions that streamline the reporting process for radiology and pathology, enhancing productivity and communication through features such as speech recognition, template-based inputs, and interoperability with existing medical systems. Its tools are designed to improve the quality of medical reports and facilitate better patient care. Smart Reporting was formerly known as SMART Radiology. It was founded in 2014 and is based in Munich, Germany.

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Our Methodology

The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.

What is Radiology Workflow Automation?

The radiology workflow automation market improves the efficiency and accuracy of radiology processes through technology. This includes tasks such as patient scheduling, exam and procedure ordering, patient document management, report generation, and communications. Software solutions and platforms integrate with radiology information systems and picture archiving and communication systems to automate and orchestrate workflows. By reducing manual processes and improving efficiency, this market aims to enhance productivity, reduce turnaround times, improve patient care, and optimize resource utilization in radiology departments.

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Market Map

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Do you compete within Radiology Workflow Automation?

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