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GapAI™ Knowledge Engine

GapAI™ Knowledge Engine

Machine learned AI technology to power better decision-making & workflows.

GapAI™ Knowledge Engine2024-07-08T01:43:12-06:00
Custom AI Solution for Hospitals and Payers

AI Models
Trained on RCM Gaps

Billions of medical claims and billing data points, along with tens of thousands of patient charts, drive exceptional results.

How it works
  • Historical Machine Learning: Trained on extensive datasets including claims, billing, and chart data, uncovering optimal query and coding opportunities.

  • Natural Language Processing (NLP): Our algorithms meticulously scan patient charts to pinpoint critical phrases and insights.

  • Ongoing Machine Learning: Regular updates on guidelines and tailored analyses for individual hospitals ensure continuously customized results.

Custom AI Modeling

AI Models Based On
Large, Relevant Data Sets

With 20 years of RCM experience, TMD’s machine learning models are sophisticated and industry-leading.

300B

Data points

25K

Patient charts

250

Organizations

Frequently asked questions

Why rely on GapAI™?

What makes your AI algorithms powerful?2024-06-28T20:59:54-06:00

Our AI algorithms are powered by a robust foundation in the healthcare revenue cycle business. We utilize tens of thousands of opportunities across diverse coding and query scenarios to enhance our models. Additionally, our consulting unit continuously updates these models with the latest coding guidelines, ensuring ongoing relevance and effectiveness.

Many companies boast about their AI capabilities. Why should we trust TogetherMD?2024-06-28T21:00:10-06:00

TogetherMD’s payment model is based on success. If our AI doesn’t deliver proven results, you owe nothing.

What data requirements are necessary to power your AI models?2024-06-28T21:00:28-06:00

TogetherMD offers a unique approach by enabling you to begin with our effective consulting models without needing extensive data initially. However, to fully utilize our software that analyzes patient charts and provides machine-learned recommendations for queries and coding opportunities, comprehensive data sets encompassing billing, coding, and patient chart information are required.

What is the typical timeline from onboarding to achieving impact?2024-06-28T21:00:46-06:00

Typically, clients achieve impact within a matter of days. We initiate with a minimalist data structure and iteratively refine our AI algorithms as we accumulate comprehensive data sets, ensuring customized AI optimization and maximized results.

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