Many organizations are confused on what exactly they should be documenting and how they should be documenting it. Generally speaking, you should record the who, what, when, where, how, and why of everything relating to Protected Health Information (PHI) in your environment.
In general, your documentation will be completeif you include: The correct date and time. The client’s correct name. The tasks you perform with each client and how the client responds to your care. Any changes you notice in a client’s condition.
Another frequent question is “How do I know if my documentation is complete?”.
Complete documentation is thorough and follows your workplace policies. In general, your documentation will be completeif you include: The correct date and time. The client’s correct name. The tasks you perform with each client and how the client responds to your care.
Why is it important to provide documentation?
Today, nurses, doctors, therapists and insurance companies rely heavily on documentation you provide to make important decisions about your client!
Also, do you document everything you do?
Be sure to document EVERYTHING you do—even if you also gave an oral report. Because, if it isn’t documented—it didn’t happen!
What can python do for your business?
For organizations to make the best business decisions, they’ll need to gather a lot of data—and they’ll need to be able to see it, too. Once again, Python provides a plethora of data visualization libraries to help make it easier for you to really see the data you have on hand.
Another thing we wanted the answer to was: what exactly can you do with python?
One of the simplest tasks Python is used for is automatically organizing files on your machine. Operations like renaming, copying, and moving hundreds of files can be done in seconds with a Python script. (Done manually, this process could take hours!).
Then, what are the uses of Python?
Besides web and software development, Python is used for data analytics, machine learning, and even design. We take a closer look at some of the uses of Python, as well as why it’s such a popular and versatile programming language. We’ve also picked out some of our top courses for learning Python, and some ideas for Python projects for beginners.
What can you do with Python for data science?
Data Science — including machine learning, data analysis, and data visualization Let’s talk about each of them in turn. Web frameworks that are based on Python like Django and Flask have recently become very popular for web development. These web frameworks help you create server-side code (backend code) in Python.
Programming applications You can program all kinds of applications using Python. The general-purpose language can be used to read and create file directories, create GUIs and APIs, and more. Whether it’s blockchain applications, audio and video apps, or machine learning applications, you can build them all with Python.
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