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Overview
Step 1: Capture the Data
Step 2: Analyze the Data
Step 3: Present the Data
Step 4: Act on the Data

QCMitt

QCMetrix, understanding the demands of the Surgical Clinical Nurse Reviewers and the effort involved in manually collecting and entering all the clinical data, developed QCMitt (“The Catcher’s Mitt”) as a way for hospitals to automatically extract the required variables directly from their information systems into the secure ACS NSQIP database.

QCMitt is a data automation tool that allows a medical site to export and transmit ACS NSQIP information to a remote data capture interface, which in turn is integrated into the core ACS NSQIP database. QCMitt reads the export document (written to a specified XML schema), parses the data, and delivers the HIPAA-compliant data to the central repository while storing the non-HIPAA data in a local database within the medical site.

QCMitt increases the productivity of the nurse reviewer by streamlining the data collection process while improving the quality of the data being captured by allowing the nurse reviewer more time to use their clinical judgment in assessing the quality of the data.

Key Facts

  • Enables automated entry of electronically available clinical data directly into the ACS NSQIP database.
  • Was developed utilizing XML and other standards-based technologies.
  • Is currently in use at New York Presbyterian Hospital - Columbia, Salem Hospital, Union Hospital, Barnes-Jewish Hospital, the University of Utah Health Sciences Center, Massachusetts General Hospital, the University of Kentucky Chandler Medical Center, and the University of Florida SHANDS Medical Center.
  • Reduces the nurse reviewer’s workload by 30%, according to a Barnes-Jewish Hosptial presentation to the American Medical Informatics Association.