Aiomic360 is a software platform designed to optimize clinical data abstraction for hospitals through integrated tools for case selection, data abstraction, and reporting. It leverages AI to recommend procedure and diagnosis codes from clinical notes, streamlining case selection and reducing manual errors. During abstraction, Aiomic360 uses AI to surface relevant data and suggest values for complex variables, significantly accelerating the process. Its reporting features offer a consolidated view of quality metrics, connecting clinical outcomes with operational indicators like readmissions and length of stay

AutonomizeAI's Medical Chart Review Copilot streamlines chart review by transforming patient data into better structured, searchable information. It consolidates data from multiple sources and formats, allowing healthcare professionals to efficiently summarize and analyze patient records.

Pharos Health provides an AI-powered analytics platform tailored for hospital quality and risk management teams. It automates data gathering, reporting, and chart abstraction for clinical registries like TQIP and NSQIP. The platform aids in rapidly completing root cause analyses, conducting audits, and monitoring hospital performance against regulatory metrics.