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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Ambiguity and workarounds as contributors to medical error
Steven J Spear1, Mark Schmidhofer
1Harvard Business School, Boston, Massachusetts 02163, USA. sspear@hbs.edu <sspear@hbs.edu>
High-performing organizations prevent recurring problems by clearly specifying work processes and rapidly responding to deviations. This approach contains errors, deepens understanding, and fosters continuous improvement, unlike error-prone organizations that tolerate ambiguity.
Area of Science:
- Organizational behavior
- Healthcare management
- Patient safety
Background:
- Organizations vary in reliability and adaptability despite similar processes.
- Error-prone organizations tolerate ambiguity, hindering problem identification and learning.
Purpose of the Study:
- To identify key differences between reliable and error-prone organizations.
- To propose a framework for improving healthcare reliability and adaptability.
Main Methods:
- Analysis of medical error reports.
- Comparative study of high-performing non-healthcare organizations (manufacturing, service, military).
Main Results:
- High performers define work expectations (who, what, when, where, how) before execution.
- Deviations from expectations are immediately identified as problems, contained, and investigated.
- This structured approach prevents problem recurrence and enhances process knowledge.
Conclusions:
- Coupling high specification with rapid problem response can significantly improve healthcare.
- This model, successful in other industries, shows promise for broader healthcare implementation.
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