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Work-Sampling: A Statistical Approach to Evaluation of the Effect of Computers on Work Patterns in Health Care

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Part of the book series: Health Informatics ((HI))

Conclusions

This chapter has briefly reviewed several work-evaluation techniques and attempted to describe in detail the concepts behind work sampling, a technique based on sampling theory. As described throughout this chapter, work sampling studies are not without problems. Even the most thorough study can be severely compromised by the seemingly endless random occurrences that are the rule rather than the exception in health care. One should not be dissuaded for these reasons, because the potential information gained is critical in determining the future role of computers in health care.

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Sittig, D.F. (2005). Work-Sampling: A Statistical Approach to Evaluation of the Effect of Computers on Work Patterns in Health Care. In: Anderson, J.G., Aydin, C.E. (eds) Evaluating the Organizational Impact of Healthcare Information Systems. Health Informatics. Springer, New York, NY. https://doi.org/10.1007/0-387-30329-4_7

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  • DOI: https://doi.org/10.1007/0-387-30329-4_7

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-24558-4

  • Online ISBN: 978-0-387-30329-1

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