What is Embedded Python and How Can It Benefit Healthcare?

Python is a versatile programming language that has many applications, including healthcare. This blog post will discuss embedded Python and its applications in the healthcare industry. We will also explore how the IRIS data platform can be used to manage and analyze data collected by embedded Python scripts.

What is embedded Python?

Python is a versatile programming language we use for various tasks, from web development to data science. Python has become increasingly popular as a data platform in recent years due to its powerful data management and analysis capabilities. One of the key advantages of Python is that it can be embedded into existing applications, allowing data analysts and data scientists to work with data directly within their preferred development environment. This makes Python an ideal choice for building data-driven applications and software platforms. Python's popularity as a data platform will only likely increase in the coming years, making it an essential tool for businesses and developers to master.

How is embedded Python used in healthcare?

In healthcare, Python is often used as a data platform to help manage and analyze large data sets. Healthcare organizations can use Python to develop data management systems, data fabric architectures, and data visualization tools. We're also using Python frequently to build machine learning algorithms that we can use to detect and predict disease outbreaks. In short, Python is a powerful tool that can solve a wide variety of healthcare data problems.

How can the IRIS data platform be used with embedded Python?

The IRIS data platform from InterSystems provides a complete data fabric for Python applications. I've been writing about IRIS for three years; for a good reason, it's what healthcare needs now and going forward. Python is a popular data science and analytics programming language, and the IRIS data platform provides native support for Python data types, objects, and libraries. With the IRIS data platform, you can create data-driven applications that are scalable, reliable, and high-performance. The IRIS data platform provides a complete set of tools for working with Python data, including a powerful data manipulation language, an integrated development environment, and a robust set of libraries. In addition, the IRIS data platform supports data sharing across multiple languages, allowing you to create cross-platform applications. With the IRIS data platform, you can take advantage of the full power of Python to build data-driven applications.

Benefits of using embedded Python in healthcare

In recent years, there has been a growing trend in the healthcare industry towards using embedded Python. There are several reasons for this: first, Python is a very user-friendly language that is easy to learn and use. Second, Python is an interpreted language, meaning it can run on any platform without needing a specific compiler. Third, Python is a very versatile language that can perform various tasks. Finally, Python has a wide range of libraries and modules we can use to develop healthcare applications. As a result, embedded Python provides healthcare organizations with many significant benefits.

First and foremost, embedded Python can help reduce the development time and costs associated with healthcare applications. This is because Python is relatively easy to learn and use, and there is no need to compile Python code specifically for each target platform. In addition, using embedded Python can also lead to more reliable and robust healthcare applications. This is because Python code is less likely to contain errors than code written in other languages. Finally, embedded Python can make it easier to develop applications that interface with devices and systems within the healthcare environment. This is because Python provides libraries and modules that allow developers to interact with these devices and systems efficiently.

Here are your takeaways

• Embedded Python is a powerful tool that organizations can use to develop healthcare applications.
• Python's user-friendly syntax, interpreted nature, and wide range of libraries make it an ideal choice for developing healthcare applications.
• The use of embedded Python can help to reduce the development time and costs associated with healthcare applications.

Final thoughts

This week, InterSystems hosted its Global Summit. Summit attendees had an opportunity to experience embedded Python for use with IRIS. I encourage you to check out the benefits of embedded Python in healthcare and especially how InterSystems has put this language to work to tell better patient stories.

If you're new to embedded Python or looking for ways to improve your development process, be sure to check out our resources below. Be sure to follow me on Twitter for more tips

Resources:

- Get started with InterSystems IRIS and Python

- An Introduction to Embedded Python