On-demand webinar

AI for Medical Coding Explained

Increase coding efficiency and generate better quality data

AI for Medical Coding Explained will provide an introduction to Artificial Intelligence and evaluate how it can be introduced to medical coding workflows to benefit North American hospitals. It is designed for leaders looking to identify solutions that will reduce coding backlogs, improve data quality, and enable more valuable work for coders.

Learning Goals:

  • Evaluate current medical coding processes at North American hospitals today and see how your hospital compares;
  • Explore how AI-assisted medical coding works and the primary benefits for coding teams;
  • Assess the long-term, hospital-wide benefits of adopting an AI-powered solution at your organization;
  • Identify key steps to adoption and follow the roadmap from evaluation to implementation.

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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AI for Medical Coding Explained

Increase coding efficiency and generate better quality data

November 3, 2021 1:00 PM

Watch now

Learning Goals:

  • Evaluate current medical coding processes at North American hospitals today and see how your hospital compares;
  • Explore how AI-assisted medical coding works and the primary benefits for coding teams;
  • Assess the long-term, hospital-wide benefits of adopting an AI-powered solution at your organization;
  • Identify key steps to adoption and follow the roadmap from evaluation to implementation.

AI for Medical Coding Explained will provide an introduction to Artificial Intelligence and evaluate how it can be introduced to medical coding workflows to benefit North American hospitals. It is designed for leaders looking to identify solutions that will reduce coding backlogs, improve data quality, and enable more valuable work for coders.

Watch now

Improve Medical Coding, Data Quality Auditing, or Both!

Semantic Coder

✔️ AI software reviews patient charts as they are created
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✔️ 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

© 2022 Semantic Health. All rights reserved.

Questions? Email us at contact@semantichealth.ai.

© 2022 Semantic Health. All rights reserved.