The ability to extract health care data

 

 

The ability to extract health care data from online databases is important to identify trends that can lead to better patient care. The Agency for HealthCare Research and Quality (AHRQ) provides a web-based tool for extracting data presented in the National Healthcare Quality and Disparities Reports Links to an external site.. For this discussion, query the database to find data for your assigned state.
In your discussion,
Identify the state you were assigned in your discussion post subject line.
Go to the AHRQ web page National Healthcare Quality and Disparities Reports Links to an external site.. Click on “State Snapshots,” and select the state you were assigned.
Click on the link that says “Review Underlying Data.” Give two examples of measures for each of the categories below:
Measures That Achieved Benchmark or Better
Measures That Are Close to Benchmark
Measures That Are Far from Benchmark
Include the three benchmarks in your initial post.
Investigate one of the measures you noted above that are in the “Measures That Are Far From Benchmark” category.
Examine the data tables and graphs. What trends do you see over time?
Describe how your state compares to the total group. Be specific and provide the comparison data for all the measures you noted above in your discussion. For example, “Florida’s breast cancer death rate was 21.50 compared to 23.5 in all populations.”
Discuss what conclusions you can draw from the data you presented.

 

 

 

 

 

 

 

Sample Solution

regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi

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