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Comparing risk management information: An invitation to disaster?
Author(s) -
West John C.
Publication year - 2000
Publication title -
journal of healthcare risk management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.221
H-Index - 16
eISSN - 2040-0861
pISSN - 1074-4797
DOI - 10.1002/jhrm.5600200105
Subject(s) - terminology , risk management , work (physics) , health care , risk analysis (engineering) , data management , computer science , emergency management , best practice , data science , knowledge management , business , data mining , engineering , mechanical engineering , philosophy , linguistics , management , finance , economics , law , political science , economic growth
While many healthcare entities want to compare their risk management data with other entities, most such projects fail. This is usually due to weaknesses in terminology and differences in work practices. In addition, virtually all data in healthcare risk management are subjective and may readily be manipulated. To benchmark their data, facilities should be careful to understand what their data represents, and how the data compare with the data generated by other facilities. This usually requires an in‐depth review of work practices and procedures, coverages, and culture. Risk management data can be shared, but it must be done carefully.