Using data to support health care change
HCA 699 Topic 8 DQ 2
There is power in having data to support change. The EBP process is one way of advancing improvements in health care. Identify three strategies that you will now incorporate into your role in health care based on this course. Explain your rationale.
ADDITIONAL DETAILS
Using data to support health care change
Introduction
The health care business is in need of change. And that’s not just a platitude; it’s a fact. Health care systems have been slow to adopt new technology and make changes that will improve outcomes for patients, but the time for change is here. The good news is that you can use data to help spur those changes—and get better results for your patients!
Health care leaders can use data to spur change
Data can help you:
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See where the problems are. If you’re not sure what’s going on in your organization, data will help you identify issues and make decisions about how to address them.
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Make better decisions. Data analysis is a powerful tool for making strategic decisions—and it doesn’t need to be performed by an expert with years of experience in the field before it can be useful. In fact, if used correctly (which means using only relevant information), data analysis can yield insights quickly and effectively!
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Communicate with others effectively—whether that’s internally or externally within your organization or externally with other organizations/companies/etc., as well as stakeholders outside of health care who need information on how things are changing within our industry so they know what changes might happen next year too (or sooner rather than later).
Find out what data you need
Before you can use data to support health care change, you need to know what data you need. The answer depends on what kind of changes are taking place and who will be affected by them.
For example: If I want my employer’s employees’ health insurance premiums lowered because they are paying too much for their monthly premiums in comparison with other employers in the same industry, then I would likely need accurate information about how much each employee pays in terms of monthly premiums (or more specifically, how much per month). This can be obtained through an employee survey or through tracking individual expenses over time.
Alternatively: If my employer wants better outcomes for its patients who have been hospitalized recently due to heart disease or diabetes (both common conditions), then they would probably look at outcomes such as length of stay in hospital and complications related specifically to these types of diseases—in addition to using other metrics like quality indicators like mortality rates among those admitted with heart disease versus those admitted without it; whether or not an operation was recommended before discharge; etcetera…
Create a healthy culture for data analytics
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Create a healthy culture for data analytics.
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Champion the use of data to improve health care, patient care and health outcomes.
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Identify opportunities to collect better quality data without compromising patient privacy or confidentiality.
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Use information from your organization’s past experience with growth management practices to inform future decisions about how best to manage change in your organization – for example: what type of organizational structure would be most effective at managing culture change; how do we implement agile planning techniques within our organization?
Consider process and outcomes
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Consider process and outcomes. Data is a tool, not the goal. It can be used to improve processes in both internal and external settings, but it’s important to remember that data is not the end-all of your efforts; it should complement other efforts rather than replace them entirely.
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Consider what kind of information you want to collect about each process or outcome: raw numbers for metrics such as mortality rate or annual revenue? Or more detailed data points like date of birth? If so, how much time do you have before getting approval from leadership (or legal) on how they want this information displayed?
Communicate your results
When communicating your results, it’s important to make sure you’re talking with the right people. This can be hard if you’re presenting your data in a classroom setting. In this case, think about how you can use visuals and other forms of communication like graphs and charts to help your audience understand what you’ve found out.
Also worth noting: don’t forget that there will likely be questions after you present! You might have some new information that needs further explanation or clarification; this is where being prepared comes into play again—make sure everyone knows what questions they should ask so as not to leave anyone hanging (or confused).
Data helps health care systems make better decisions.
Data helps health care systems make better decisions.
Data helps you find and fix problems. It can help you see where you’re going wrong, and it can also help you improve. It’s valuable in identifying opportunities for improvement by showing which elements of your system are working well or not working well—and why those elements may need some attention.
Conclusion
The next time you meet with your health care team, consider how much data they have about their products and services. Perhaps you can find a way to share that information between teams so that everyone is talking to each other about the same thing at the same time. It’s important for all parties involved—doctors, nurses, administrators—to feel comfortable sharing information with each other so they can work together effectively on improving patient care.
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