Healthcare Statistics

Admission and Discharge Rates for Local Hospital (24-hour period)

Admissions and discharges in hospital	Jan. 1, 2017	Jan. 2, 2017	Jan. 3, 2017
Admissions	896	649	1,503
Discharges	764	543	672

Identify the information above that represents a data set. How do you know this is a data set?

According to Davis and Shiland (2017), a dataset is a set of related data collected under similar conditions and from common subjects. From the table above, the data sets are Admissions and Discharges. This information is related and collected during the same days from the same subjects.

Identify the information above that represents a database. How do you know this is a database?

Admissions and discharges in the hospital are the databases from the above table. Basically, a database is a platform used to store and organize data for later use.

What was the discharge rate for Jan. 2, 2017?

The number of patients discharged on Jan. 2, 2017= 543

What was the admission rate for Jan. 3, 2017?

The number of patients admitted on Jan. 3, 2017=, 1503

Which day had the highest percentage of patients discharged within 24 hours?

The highest recorded number of patients discharged was on Jan. 1, 2017, at 764.

What can you infer from this data? What important information is missing from this data?

We can infer from the data set that the hospital occupancy rate is high, considering the high number of admissions and discharges per day. Also, from the high number of daily discharges over the three days, it is justifiable to infer that the hospital’s services are effective. However, crucial information about discharges, such as transfers and deaths, is missing, which is essential to conclude about the quality of the hospital’s services.

References

Davis, N., & Shiland, B. (2017). Statistics and data analytics for health data management. Elsevier. Retrieved from https://phoenix.vitalsource.com/#/books/9781455753154/cfi/6/2!/4/6@0:0.00

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Question

Healthcare Statistics

Review the following admission and discharge rates from a local hospital within a 24-hour period.

Admissions

896 on Jan. 1, 2017
649 on Jan. 2, 2017
Discharges

764 on Jan. 1, 2017
543 on Jan. 2, 2017

Answer the prompts using the information provided.

Identify the information above that represents a data set. How do you know this is a data set?
Identify the information above that represents a database. How do you know this is a database?
What was the discharge rate for Jan. 2, 2017?
What was the admission rate for Jan. 3, 2017?
Which day had the highest percentage of patients discharged within the 24 hours?
What can you infer from this data? What important information is missing from this data?

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