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Economics of radiology report editing using voice recognition technology
1Department of Radiology, Temple University Medical Center, Philadelphia, Pennsylvania 19140, USA. reinusw@tuhs.temple.edu
Journal of the American College of Radiology : JACR
|December 1, 2007
Summary
Radiologists can potentially replace transcriptionists in voice recognition-assisted radiology reporting. An econometric model helps practices evaluate the economic feasibility of this shift, considering various constraints.
Area of Science:
- Medical informatics
- Health economics
- Radiology practice management
Background:
- Voice recognition technology is increasingly adopted in radiology.
- Practices must decide whether radiologists or transcriptionists should edit reports.
- This decision involves complex political, budgeting, psychosocial, and economic factors.
Purpose of the Study:
- To present an econometric model for analyzing the economic implications of report-editing responsibilities in radiology.
- To aid academic and private practices in making informed decisions regarding transcriptionist elimination.
Main Methods:
- Development of an econometric model to assess cost-benefit scenarios.
- Analysis of economic factors influencing the decision-making process.
Main Results:
- The model provides a framework for evaluating the economic viability of eliminating transcriptionists.
- The decision's economic sense is not always immediately apparent and depends on specific practice constraints.
Conclusions:
- Radiology practices can utilize this econometric model to determine the most cost-effective report-editing strategy.
- The integration of voice recognition technology necessitates a careful economic evaluation of staffing models.
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