Medical Record Abstraction for Quality Improvement in Sepsis Care Using Artificial Intelligence: A Cluster - Scorecard - MDSpire
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Utilizing Artificial Intelligence for Quality Enhancement in Sepsis Management through Medical Record Abstraction: A Cluster Analysis

  • By

  • Aaron Boussina

  • Claire Allison

  • Kimberly Quintero

  • Sonia Jain

  • Chad VanDenBerg

  • Michael Hogarth

  • Amy M. Sitapati

  • Karandeep Singh

  • Atul Malhotra

  • Michael T. McCurdy

  • Christopher A. Longhurst

  • James S. Ford

  • Theodore Chan

  • Paul Ishimine

  • Richard Childers

  • Shamim Nemati

  • Gabriel Wardi

  • June 25, 2026

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Clinical Scorecard: Utilizing Artificial Intelligence for Quality Enhancement in Sepsis Management through Medical Record Abstraction: A Cluster Analysis

At a Glance

CategoryDetail
ConditionSepsis Management
Key MechanismsArtificial Intelligence for quality measurement and performance feedback
Target PopulationPatients with severe sepsis and septic shock
Care SettingEmergency Departments

Key Highlights

  • AI-enabled scaling of SEP-1 measurement can improve compliance
  • Study conducted in two academic medical centers
  • Timely feedback provided to intervention group using LLM
  • SEP-1 compliance baseline was 65%
  • Quality measurement challenges include high costs and poor interrater reliability

Guideline-Based Recommendations

Diagnosis

  • Use clinical encounter diagnosis for identifying sepsis cases

Management

  • Implement AI systems for real-time feedback on sepsis care

Monitoring & Follow-up

  • Evaluate SEP-1 compliance at the time of discharge

Risks

  • Potential for noncompliance cases in standard reporting

Patient & Prescribing Data

Patients with severe sepsis and septic shock in emergency departments

AI systems can enhance the quality of sepsis care through timely feedback

Clinical Best Practices

  • Utilize LLMs for abstraction of quality measures
  • Conduct regular training for physicians on sepsis management
  • Ensure timely reporting and feedback mechanisms are in place

Related Resources & Content

Original Source(s)

Medical Record Abstraction for Quality Improvement in Sepsis Care Using Artificial Intelligence: A Cluster

  • by Aaron Boussina, Claire Allison, Kimberly Quintero, Sonia Jain, Chad VanDenBerg, Michael Hogarth, Amy M. Sitapati, Karandeep Singh, Atul Malhotra, Michael T. McCurdy, Christopher A. Longhurst, James S. Ford, Theodore Chan, Paul Ishimine, Richard Childers, Shamim Nemati, Gabriel Wardi

  • June 25, 2026

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