Challenge: Renal Dose Adjustment Tool
As you have learned, adjusting medication dosages for patients with renal impairment is a crucial aspect of pharmacy practice. This ensures safety and effectiveness, as reduced kidney function can affect how drugs are processed in the body. You previously explored how to represent patient and medication data using Python dictionaries and lists, and how to perform calculations such as multiplying a standard dose by a renal adjustment factor.
When handling multiple patients, you often need to iterate through a list of patient data, apply calculations to each entry, and summarize or report key findings. This challenge will reinforce your ability to process lists of dictionaries, perform calculations for each item, and identify important results, such as the patient with the lowest adjusted dose.
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Create a function that processes a list of patients, each represented by a dictionary with keys 'name', 'standard_dose', and 'renal_factor'. The function must:
- Calculate the adjusted dose for each patient by multiplying the
'standard_dose'by the'renal_factor'. - Return a list of dictionaries, each containing
'name'and the corresponding'adjusted_dose'for each patient. - Identify and print the patient with the lowest adjusted dose, showing both the patient's name and the adjusted dose.
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Can you show me an example of how to process a list of patient data for renal dose adjustments?
How do I find the patient with the lowest adjusted dose in a dataset?
Can you explain how to summarize key findings after adjusting doses for multiple patients?
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As you have learned, adjusting medication dosages for patients with renal impairment is a crucial aspect of pharmacy practice. This ensures safety and effectiveness, as reduced kidney function can affect how drugs are processed in the body. You previously explored how to represent patient and medication data using Python dictionaries and lists, and how to perform calculations such as multiplying a standard dose by a renal adjustment factor.
When handling multiple patients, you often need to iterate through a list of patient data, apply calculations to each entry, and summarize or report key findings. This challenge will reinforce your ability to process lists of dictionaries, perform calculations for each item, and identify important results, such as the patient with the lowest adjusted dose.
Swipe to start coding
Create a function that processes a list of patients, each represented by a dictionary with keys 'name', 'standard_dose', and 'renal_factor'. The function must:
- Calculate the adjusted dose for each patient by multiplying the
'standard_dose'by the'renal_factor'. - Return a list of dictionaries, each containing
'name'and the corresponding'adjusted_dose'for each patient. - Identify and print the patient with the lowest adjusted dose, showing both the patient's name and the adjusted dose.
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