Literature DB >> 20839502

Comparing manual and automated coding of physicians quality reporting initiative measures in an ambulatory EHR.

Denni McColm1, Anita Karcz.   

Abstract

The objective of this study was to compare the completeness and accuracy of Physicians Quality Reporting Initiative (PQRI) quality measure code assignment by manual coding and the automated system. Documentation for 62 PQRI quality measures was built into the electronic health record (EHR) system used in 15 rural ambulatory clinics with 70,000 patient encounters per year. The documentation systems and processes within the ambulatory EHR were standardized so data required for quality measurement would be available as extractable data. Completeness and accuracy of coding was compared between an expert coder and an automated system. Automated coding was significantly more complete and accurate than manual coding for the quality measures examined.

Entities:  

Mesh:

Year:  2010        PMID: 20839502

Source DB:  PubMed          Journal:  J Med Pract Manage        ISSN: 8755-0229


  2 in total

1.  Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records.

Authors:  J MacRae; B Darlow; L McBain; O Jones; M Stubbe; N Turner; A Dowell
Journal:  BMJ Open       Date:  2015-08-21       Impact factor: 2.692

2.  Childhood respiratory illness presentation and service utilisation in primary care: a six-year cohort study in Wellington, New Zealand, using natural language processing (NLP) software.

Authors:  Anthony Dowell; Ben Darlow; Jayden Macrae; Maria Stubbe; Nikki Turner; Lynn McBain
Journal:  BMJ Open       Date:  2017-08-01       Impact factor: 2.692

  2 in total

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