Question

Hospital Administration and Management
In the healthcare industry, everything is measured. From drip rates to dosages, it seems as though numbers are everywhere. But how does this reflect the care given to the patients?, reflect on the following:

Which type of data (qualitative or quantitative) do you think yields the most information? Why?
Which type of data (qualitative or quantitative) is most effective for forecasting future trends? Why?
Which practices can a healthcare manager use to ensure that the data used for forecasting trends is accurate?
Provide examples of data evaluation in different types of facilities. 
Provide examples of data evaluation for different types of issues, such as billing or loss of revenue.

Reference Your textbook may be one page used as a reference.

The APA format for your text is as follows:

Langabeer, J. R., & Helton, J. (2016). Health care operations management: A systems perspective (2nd ed.). Burlington, MA: Jones & Bartlett Learning

Answer 1

Which type of data (qualitative or quantitative) do you think yields the most information? Why?

Qualitative data. As it gives information of more depth and helps to understand your research questions . it brings you the details and to understand their implications wheras, quantitaive data gives us the fact sheets and the numbers to prove your general points in research.

Which type of data (qualitative or quantitative) is most effective for forecasting future trends? Why?

Quantitative data is most effective for forecasting future as it is appropriate to use if the old data is present. we can assume that it may continue the same pattern in future. whereas, the qualitative data is subjective based on the opinion of the consumers.

Which practices can a healthcare manager use to ensure that the data used for forecasting trends is accurate?

Selecting the forecast horizon which fits the organization

Driver-based forecast planning model

Retention of prior period forecasting

Cultural shift in an organization.

Provide examples of data evaluation in different types of facilities. 

Time series method

A simple naive method

Simple moving average method

Exponential smoothing

Qualitative techniques such as:

Grass roots

Market research

Panel consensus

Historical Analogy

Delphi method