Automatic methods to extract prescription status quality measures from unstructured health records

Academic Article

Abstract

  • © 2019 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). Hospital systems frequently implement quality measures to quantify healthcare processes and patient outcomes. One such measure that has previously been used is the Surgical Care Improvement Project (SCIP) quality measure of perioperative beta blocker continuation, SCIP-Card-2. The SCIP-Card-2 measure requires resource-intensive medical chart abstraction, limiting its application to a small sample of eligible patients. This paper describes a natural language processing (NLP) system for automatic extraction of SCIP-Card-2 quality measures in clinical text notes.
  • Digital Object Identifier (doi)

    Pubmed Id

  • 27064279
  • Author List

  • Alba PR; Patterson OV; Richman JS; DuVall SL
  • Start Page

  • 15
  • End Page

  • 19
  • Volume

  • 264