Compare Healthcare Data Analytics vs. VSClinical

Over 70% of healthcare information is contained within clinical documents, including reports, patient charts, clinician notes, and discharge summaries, allowing our specialized Natural Language Processing and AI Engine to extract essential concepts, attributes, and contextual information that drive business insights, enhance billing processes, assess and categorize patient risks, calculate quality metrics, and gather patient sentiment and outcome data. By tapping into difficult-to-access or previously unused data sources, you can significantly improve your clinical research or business intelligence efforts. Our extensive database features thousands of clinical concepts, including genomic biomarkers, symptoms, side effects, and medications, enabling the identification of disease characteristics and risk factors from clinical documents to better stratify patients and elevate the standard of care. Moreover, we ensure the protection of data subjects' identities while preserving the usefulness of the data through effective document de-identification strategies. This approach not only safeguards privacy but also empowers healthcare organizations to make informed decisions based on the most comprehensive data available.

VSClinical facilitates the clinical analysis of genetic variants in accordance with ACMG and AMP guidelines. Its structured workflow supports adherence to the American College of Medical Genetics (ACMG) standards, which are essential for identifying and categorizing pathogenic variants related to inherited disease risk, cancer susceptibility, and rare disease diagnosis. The combined ACMG/AMP guidelines for variant interpretation establish a framework for scoring variants and categorizing them into one of five classification levels. Implementing these guidelines necessitates a thorough examination of annotations, genomic contexts, and pre-existing clinical insights for each variant. VSClinical streamlines this process by offering a customized workflow that evaluates each relevant criterion and supplies comprehensive bioinformatics, literature references, and clinical knowledgebase evidence to aid in the scoring and interpretation of variants. This innovative approach is designed to enhance the efficiency of variant scientists as they navigate the complexities of variant processing and analysis. Overall, VSClinical stands out as a vital tool for accelerating the understanding and classification of genetic variants in clinical settings.