Automated data mining of a proprietary database system for physician quality improvement

Int J Radiat Oncol Biol Phys. 2008 Apr 1;70(5):1537-41. doi: 10.1016/j.ijrobp.2007.08.056. Epub 2007 Nov 26.

Abstract

Purpose: Physician practice quality improvement is a subject of intense national debate. This report describes using a software data acquisition program to mine an existing, commonly used proprietary radiation oncology database to assess physician performance.

Methods and materials: Between 2003 and 2004, a manual analysis was performed of electronic portal image (EPI) review records. Custom software was recently developed to mine the record-and-verify database and the review process of EPI at our institution. In late 2006, a report was developed that allowed for immediate review of physician completeness and speed of EPI review for any prescribed period.

Results: The software extracted >46,000 EPIs between 2003 and 2007, providing EPI review status and time to review by each physician. Between 2003 and 2007, the department EPI review improved from 77% to 97% (range, 85.4-100%), with a decrease in the mean time to review from 4.2 days to 2.4 days. The initial intervention in 2003 to 2004 was moderately successful in changing the EPI review patterns; it was not repeated because of the time required to perform it. However, the implementation in 2006 of the automated review tool yielded a profound change in practice. Using the software, the automated chart review required approximately 1.5 h for mining and extracting the data for the 4-year period.

Conclusion: This study quantified the EPI review process as it evolved during a 4-year period at our institution and found that automation of data retrieval and review simplified and facilitated physician quality improvement.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Information Storage and Retrieval / methods*
  • Information Storage and Retrieval / standards
  • Practice Patterns, Physicians' / standards
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Quality of Health Care / standards
  • Radiation Oncology / standards
  • Radiation Oncology / statistics & numerical data*
  • Radiology Information Systems / standards
  • Radiology Information Systems / statistics & numerical data*
  • Software*
  • Time Factors