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Measuring Success

Case Study Thoughts
Success is not always easy to measure. Whilst on the surface it may week that healthcare outcomes are straight forward to measure, it doesn’t take long to realise that the situation can very quickly become complicated. For example, e.g. a patient in the ER would either be saved from a car accident or killed, but which would be more successful – lifetime paralysis or death?

On a macro level, the problem becomes far more complex. Prevalence rates are estimates for how much a particular illness is exists amongst the population of a community. This metric forms the basis for much of the healthcare diagnosis targets, providing a benchmark for how much of an illness is expected to exist. However, there is an increasing number of individuals claiming that such a metric is limited in its accuracy and question the premise of using it to measure outcomes

 Case Study

  • What is a reasonable measure to use when estimating healthcare outcomes?
  • Who should be accountable for meeting the targets? Should doctors be held accountable to how many diagnoses they make?
  • How do you decide where to allocate resources on a macro scale between the treatment of different diseases?

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