Jenei István
Jenei István
Jenei István
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<strong>István</strong> <strong>Jenei</strong>: Lean transformation of hospital processes – Structuring foreign and Hungarian experiences,<br />
PhD Dissertation, Corvinus University of Budapest, Doctoral School in Business Administration<br />
service is 8.8%; its adequacy rate is 91.2%, and the rate of fatal error is 0.6%<br />
(adequacy: 99.4%).<br />
In the other services, a quality rate of even 99.9% (which would require the<br />
reduction of all problem cases to 88 th of the current number and the number of fatal<br />
cases to one-sixth of the current value at the hospitals) is already unacceptable: it is<br />
inconceivable, for example, to have two dangerous landing events at O’Hare<br />
international airport or a daily 32,000 debit transactions posted to the wrong accounts in<br />
the US (Leape, 1994).<br />
As addendum to the above, it is worth getting acquainted with the results of a<br />
research project which observed the activity of 26 nurses in 9 hospitals for a total of<br />
239 hours. Records were kept of errors made (i.e. of nonconforming activities, such as<br />
portioning of medication first, inspection of patient data to check over-sensitivity to the<br />
given substance afterwards), and of problems incurred (i.e. external reasons preventing<br />
the personnel to do their work, such as delayed arrival of the ordered medicine or<br />
breakdown of equipment). Data analysis yielded the far-from-surprising result that the<br />
number of problems exceeded by far that of the errors. The rate was 167/24 (Tucker and<br />
Edmondson, 2003). However, one must not forget that, as indicated by West (2000,<br />
cited: New et al., 2008, p.4): “… major problems are generated by the uncontrolled<br />
accumulation of many minor things.” Hence for example a data form put at the wrong<br />
place, a puddle left without supervision or a phone message noted down inaccurately<br />
may have significant consequences. To get a realistic picture of the rate of the daily<br />
occurrence of problems which hinder the activity of the medical staff, but which have<br />
never been in the centre of attention, although they deteriorate service quality and, not<br />
in the last, financial efficiency, the frequency-of-errors data must be complemented with<br />
these observations.<br />
The example of the US is not unique among the advanced countries as far as<br />
quality problems are concerned. Surveys carried out in the National Health Service<br />
hospitals in the United Kingdom showed that one of every 10 hospital patients is the<br />
victim of a negative event of some kind: they get the wrong medication, fall down or off<br />
something, suffer infection or are given the wrong diagnosis (National Audit Office,<br />
2005; Fillingham, 2007). The situation seems even more serious, considering the<br />
research results of Tucker and Edmondson (2003): “…despite intensified attention to<br />
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