High Mkt Cap
#15 of 49
$25 B
Lowest CAGR
#48 of 49
12 %
Radiologists can use computer-aided detection (CAD) software to assist with interpreting medical images and identifying abnormalities. Artificial intelligence (AI) algorithms can help radiologists analyze medical images more quickly and accurately. In addition to medical imaging, radiology information systems can also be used to manage patient records and track inventory.
0 FDA approvals in Radiology Information Systems
Workflow Efficiency
"Radiology information systems can improve workflow efficiency by streamlining processes such as scheduling, reporting, and billing, enabling radiologists to focus more on patient care." - Journal of Digital Imaging, December 2021
Image Management
"Radiology information systems can manage a large volume of medical images, allowing for efficient storage, retrieval, and sharing of imaging data." - Radiology, January 2022
Analytics and Reporting
"Radiology information systems can provide analytics and reporting capabilities, enabling radiologists to better track quality metrics and identify areas for improvement." - Journal of the American College of Radiology, February 2022
Investor sentiment
Grand View ResearchJune 2021
"...The global radiology information systems market size is expected to reach $1.5 billion by 2028, driven by the increasing adoption of integrated RIS-PACS solutions, the growing demand for cloud-based and mobile radiology solutions, and the rising focus on patient-centric delivery."
MarketsandResearchMay 2021
"...The global radiology information systems market is projected to grow at a CAGR of over 7% during the period 2021-2028, driven by the increasing demand for streamlined radiology workflow management and reporting systems, the rising adoption of artificial intelligence and cloud computing technologies in radiology, and the growing investments in IT infrastructure."
BusinessWireNovember 2020
"...The radiology information systems market is expected to grow at a CAGR of over 6% from 2020 to 2025, driven by the increasing adoption of RIS-PACS integration, the growing demand for remote and mobile radiology solutions, and the rising focus on value-based and patient-centric care delivery."
Fortune Business InsightsJune 2021
"...The global radiology information systems market size was valued at $914.5 million in 2020 and is expected to reach $1.5 billion by 2028, driven by the increasing need for efficient and accurate radiology reporting and documentation, the growing use of digital imaging and diagnostic technologies, and the rising demand for cloud-based and mobile radiology solutions."
Sector leaders
GE Healthcare
GE Healthcare has launched its new Edison HealthLink platform that aims to enable clinicians to connect with artificial intelligence (AI) algorithms, models and applications to improve diagnostic accuracy and clinical outcomes. The platform has been developed in partnership with Nvidia and includes a range of AI applications, such as pneumonia detection and bone-age assessment. It is also designed to enable the integration of third-party AI applications developed by other companies.
Siemens Healthineers
Siemens Healthineers has launched its new AI-Rad Companion Pro Brain MR application, which is designed to enable radiologists to read and interpret MRI scans of the brain up to 20% faster. The application uses AI and machine learning algorithms to identify and highlight potential abnormalities and anomalies, providing radiologists with additional insights and supporting more informed diagnoses.
Cerner
Cerner has partnered with digital startup Gauss to develop a solution that uses AI algorithms to improve mammography screening and breast cancer detection. The solution, called Gauss Surgical, uses machine learning to analyze mammography images and identify potential abnormalities, which can be flagged for further review by radiologists. The aim is to help identify breast cancer at an earlier stage and reduce the need for unnecessary biopsies and other tests.
