Compare BeWell Digital vs. Skia

Healthcare professionals, including doctors and radiologists, can access images digitally through an online DICOM viewer, ensuring they receive high-quality images essential for precise diagnoses. This platform facilitates seamless sharing of studies among radiologists, surgeons, doctors, and patients without the need for physical film prints. Offering an intuitive and user-friendly interface, the viewer provides various image manipulation features such as zooming, rotating, annotating, and panning. Users can compare multiple image sets with versatile options, including 2D, sagittal, and coronal views. Regular upgrades and enhancements to the viewer are provided at no additional cost, which helps to improve patient care and boost productivity. By utilizing tailored report templates that feature annotated images, healthcare providers can further refine their documentation process. BeWell Digital streamlines the workflow, reducing technician workload by more than 30%, thanks to its effective integration between various systems, resulting in a more efficient radiology experience. This comprehensive and connected solution ensures that users can focus on what matters most: delivering exceptional patient care.

Skia is a specialized platform for radiology reporting designed for groups and teleradiology services that prioritize high-quality results without sacrificing efficiency. Unlike traditional methods, SkiaQA meticulously reviews each report prior to submission, ensuring it identifies issues such as laterality discrepancies, incorrect or absent comparison dates, contradictions within the report, mismatches between findings and impressions, critical findings that may be overlooked, and incomplete sections, all within mere seconds. Additionally, SkiaReporter revolutionizes the reporting process by eliminating the need for dictation and correction phases; radiologists can simply click on findings, allowing the report to automatically generate in precise clinical language, with impressions derived directly from those selections, ensuring accuracy without speculation or errors. Early implementations indicate that reporting speeds have increased by 30 to 40%, with a remarkable 70 to 90% of impressions generated automatically. Furthermore, SkiaManager facilitates seamless coordination by managing worklist synchronization, automatic assignment based on modality and subspecialty, alerts for critical findings, context from prior studies, and direct submission to PACS. Importantly, Skia maintains strict privacy protocols, as no patient data is stored or transmitted outside your PACS system, ensuring confidentiality and compliance. This innovation not only enhances workflow efficiency but also significantly reduces the likelihood of errors in radiology reporting.