On-demand webinar

Preparing to Adopt AI-Assisted Medical Coding & Auditing

Learn how AI-assisted medical coding and auditing will solve top business priorities and what results you can expect. After this webinar, you'll also be able to assess your organizational readiness and compare alternative solutions.

Learning Goals:

  • Learn how AI-assisted medical coding & auditing works
  • Identify top business priorities that it can address
  • Evaluate key benefits and results
  • Assess your hospital’s organizational readiness
  • Use a framework for evaluating and comparing software

Watch the webinar replay:

Watch the webinar replay:

About the speaker,

Dr. Nicola Sahar

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.

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Preparing to Adopt AI-Assisted Medical Coding & Auditing

August 17, 2022 11:00 AM

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Learning Goals:

  • Learn how AI-assisted medical coding & auditing works
  • Identify top business priorities that it can address
  • Evaluate key benefits and results
  • Assess your hospital’s organizational readiness
  • Use a framework for evaluating and comparing software

Learn how AI-assisted medical coding and auditing will solve top business priorities and what results you can expect. After this webinar, you'll also be able to assess your organizational readiness and compare alternative solutions.

Watch now

Improve Medical Coding, Data Quality Auditing, or Both!

Semantic Coder

✔️ 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

Semantic Auditor

✔️ 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

Semantic Health Information Platform

✔️ Unlock the full benefits of both Semantic Coder and Semantic Auditor in one convenient and easy-to-use interface