On-demand webinar
Join Semantic Health as we dive into the numbers and break down exactly where you will see the ROI for adopting AI-assisted medical coding and auditing. We’ll also review a case study illustrating how one large Canadian hospital could earn $15.5 million in return over five years.
Nicola Sahar, MD is the Co-Founder and Chief Executive Officer at Semantic Health. He leads a team of experienced medical coders, engineers, and machine learning researchers in transforming medical coding and auditing with machine learning. Before starting Semantic Health, Nicola was a clinical NLP researcher at the University of Toronto and a consultant at Bain & Company in their healthcare practice. He is passionate about making health data more actionable so that providers can improve the quality and cost of healthcare.
✔️ AI software reviews patient charts as they are created
✔️ Medical codes are automatically suggested for coder approval
✔️ Access a clear evidence trail in the documentation for suggested codes
✔️ Patient summaries, code suggestions, and all other tools are accessible in one interface
✔️ Simple charts are automatically coded
✔️ Long and complex charts are significantly streamlined
✔️ AI software audits coded charts to determine if assigned codes are supported by the clinical documentation
✔️ Auditors are directed to the exact location in the documentation requiring review
✔️ AI software is compatible with charts from your team or an external vendor
✔️ Insights can be used to spin up new data-driven, high-quality, and relevant clinical documentation improvement programs
✔️ Unlock the full benefits of both Semantic Coder and Semantic Auditor in one convenient and easy-to-use interface