Time Series in Health Care
Discussion: Time Series in Health Care
Pam is a healthcare administration leader for a large network of hospitals and health service centers that is attempting to predict future healthcare utilization at their centers over the next 5 years. She obtains data regarding patient use across the hospital network and health service centers and projects forward over the next 5 years to determine which areas might experience continued growth. After applying her time series model, she is able to demonstrate that, indeed, the hospital network and health service centers will experience significant growth. As she prepares to share her results and findings with the board, she also considers advocating for the development of a new regional health service center to fill one of the areas that will experience the most growth according to her forecast projections.
As a current or future healthcare administration leader, you may be asked to assess strategic planning and decision making using time series analysis.
For this Discussion, review the resources for this week, and reflect on time series models and forecasting.
Think about how you might implement these methods for healthcare administration practice.
By Day 3
Post a description of some variables that you might evaluate using time series in your health services organization or one with which you are familiar. Then, explain what types of models might be most appropriate to measure, and analyze these variables. Be specific, and provide examples.
By Day 5
Continue the Discussion and respond to your colleagues in one or more of the following ways:
Ask a probing question, substantiated with additional background information, evidence, or research.
Share an insight from having read your colleagues’ postings, synthesizing the information to provide new perspectives.
Offer and support an alternative perspective, using readings from the classroom or from your own research in the Walden Library.
Validate an idea with your own experience and additional research.
Make a suggestion based on additional evidence drawn from readings or after synthesizing multiple
postings.
Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence
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