Healthcare.AI: Chart Abstraction

1. The Challenge

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2. Our Approach

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3. Benefits

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Technical

The Healthcare.AI: Chart Abstraction application transforms the manual abstraction process into an efficient, technology- enabled workflow. The tool automatically populates structured data fields—such as demographics, labs, and ADT information—directly from the EMR with 100% accuracy once tested. For unstructured or interpretive fields, our advanced AI suggests precise answers based on patient notes, surfacing relevant clinical evidence so abstractors can quickly verify and accept data with confidence. This hybrid automation approach reduces abstraction time by over 40%, improves data quality, and enables existing teams to manage higher volumes without additional staffing—empowering healthcare organizations to meet deadlines, control costs, and focus on performance improvement.

The Challenge

Health systems that have acquired ambulatory care practices—and independent ambulatory practices alike—face tremendous financial pressures and challenges to financial sustainability. If you’re an ambulatory care leader, you’re looking to improve the efficiency of the services you provide and find cost savings without negatively impacting patient outcomes, the community, or the integrity of the organization. Yet it can be difficult to access data that brings actionable insights to inform decisions to improve patient access, panel management, provider productivity, referral management, or quality scores.

Our Approach

The Healthcare.AI: Chart Abstraction application transforms the manual abstraction process into an efficient, technology-enabled workflow. The tool automatically populates structured data fields—such as demographics, labs, and ADT information—directly from the EMR with 100% accuracy once tested. For unstructured or interpretive fields, our advanced AI suggests precise answers based on patient notes, surfacing relevant clinical evidence so abstractors can quickly verify and accept data with confidence. This hybrid automation approach reduces abstraction time by over 40%, improves data quality, and enables existing teams to manage higher volumes without additional staffing—empowering healthcare organizations to meet deadlines, control costs, and focus on performance improvement.

Benefits

  • Automated EMR data extraction. Clinical Data Importer prepopulates structured fields (e.g., demographics, labs) with 100% tested accuracy.
  • AI-powered abstraction suggestions. Generative AI recommends answers for fields using relevant patient notes.
  • 40% faster abstraction. Combined automation reduces manual effort and increases throughput without compromising quality.
  • Built-in clinical evidence review. Abstractors can validate AI-suggested answers quickly using the excerpts from relevant clinical notes displayed in the application.
  • Scalable with existing teams. Supports higher volumes of registry abstraction without increasing headcount.
  • Improved data quality and compliance. Reduces errors, data gaps, and time spent on validation for registry submissions.

Proven Outcomes

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