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A Novel Customizable Datamart and Tableau Dashboard to Monitor Multiple Enhanced Recovery After Surgery Programs:

Sunitha Margaret Singh1, Susannah Oster2, Efrat Bolze3

  • 1Department of Perioperative Surgical Services, Stony Brook University Medical Center, 101 Nichols Road, Stony Brook, NY, United States, 1 6314442166, 1 6314442907.

JMIR Perioperative Medicine
|February 11, 2026
PubMed
Summary
This summary is machine-generated.

This study developed a novel ERAS Datamart and Tableau dashboard to monitor Enhanced Recovery After Surgery (ERAS) program compliance and outcomes. The system enables continuous data analysis directly from electronic medical records, improving quality improvement efforts.

Keywords:
ERASdata monitoringenhanced recoveryenhanced recovery after surgeryperioperative outcomesquality improvementweb platform

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Area of Science:

  • Healthcare Informatics
  • Surgical Quality Improvement
  • Data Management in Healthcare

Background:

  • Enhanced Recovery After Surgery (ERAS) programs standardize care but face challenges in monitoring compliance and outcomes.
  • Manual data abstraction is infeasible, and reliance on IT for reports is difficult.
  • A novel ERAS Datamart system was developed to address these unmet needs.

Purpose of the Study:

  • To develop a novel Datamart and Tableau dashboard for continuous analysis of ERAS program data.
  • To enable measurement of compliance and outcomes directly from electronic medical records (EMR).
  • To allow end-users to create customized reports based on procedure types, variables, and date ranges.

Main Methods:

  • Data metrics were identified and categorized by care phase (preoperative, intraoperative, postoperative).
  • A multidisciplinary team used International Classification of Diseases, Tenth Revision codes to capture EMR data for ERAS patients.
  • Validations were performed against known ERAS patient populations.

Main Results:

  • The ERAS Datamart and Tableau dashboard are functional, containing data for over 17,000 patients across 5 service lines.
  • 56 perioperative metrics have been validated.
  • Customizable reports and patient-level data export for statistical analysis are available.

Conclusions:

  • Discrete EMR fields can be captured into a novel Datamart.
  • A custom Tableau dashboard facilitates stakeholder feedback, quality improvement, and pathway auditing.
  • This system effectively supports ERAS program monitoring and enhancement.