TeleRay
TeleRay stands out as the pioneering telehealth and image management solution in the industry. This cloud-based platform enables users to safely exchange medical images with a variety of professionals, including specialists, clinicians, and referring doctors, as well as with patients. Its robust feature set allows for the importation and conversion of both DICOM and non-DICOM images, along with providing query capability and HL7 connectivity. Additionally, it seamlessly integrates with any electronic medical record (EMR) system, and users can access images via an FDA-approved viewer on any device, regardless of location.
The platform offers comprehensive DICOM image migration services, which encompass setup, training, and implementation support. Options for live streaming and remote control of imaging modalities are also available, allowing professionals to effectively collaborate from virtually anywhere.
TeleRay prioritizes security with peer-to-peer health and data communication, and its application includes useful workflow tools such as waiting rooms, multi-call capabilities, call transfers, and image sharing, making it user-friendly and budget-conscious.
Currently, over 3,000 locations utilize our services, including 38 leading medical centers across more than 20 countries, demonstrating our extensive reach and reliability. Discover the benefits of TeleRay by signing up for a free trial today.
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Imorgon
Significantly improve the speed and quality of Radiology reporting by reducing unnecessary dictation, particularly for ultrasound and DEXA. Imorgon transfers modality measurements into Powerscribe/Fluency/RadAI merge fields/tokens, eliminating manual entry errors.
Imorgon's specialized services offer the following advantages:
- All measurements are always transferred (usually DICOM SR)
- Electronic worksheets capture findings and insert them into Powerscribe/Fluency/RadAI (rather than dictating from a worksheet)
- Worksheets with priors, calculators, and clinical decision support (TI-RADS, O-RADS, etc)
- Integrate into Epic or other EHRs
- Vendor neutral
- Support to ensure everything continues working
Significant improvement in the overhead of reporting with a quick ROI.
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Sirona
Sirona Medical introduces RadOS, an all-encompassing cloud-based radiology platform that integrates essential radiology IT functions such as worklist management, image visualization, archiving, reporting, and artificial intelligence into a single, user-friendly web interface. By leveraging AWS for its cloud infrastructure, RadOS does away with the need for physical servers, software installations, and hardware maintenance, thereby simplifying the operational processes for radiology departments. The platform is accessible via any device with a Chromium-based browser, allowing radiologists the convenience of accessing imaging and patient records from virtually any location around the globe at any hour. In addition, it features a centralized PACS archive that boasts an exceptional 99.99% uptime and rapid data retrieval capabilities, along with a built-in viewer adept at handling imaging inconsistencies through its unique patented ontology. Moreover, RadOS includes a "Pixel-Powered Reporter" that utilizes agentic AI—a specialized large language model in radiology—and advanced natural language processing to assist in the pre-drafting of structured, study-aware reports while also generating tailored impressions for individual radiologists. This rich array of functionalities positions RadOS as an essential asset in improving both the efficiency and precision of radiological workflows, ultimately benefiting healthcare providers and patients alike. As a result, RadOS not only streamlines processes but also enhances overall diagnostic accuracy, making it a vital component in the evolving landscape of medical imaging.
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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.
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