Python in Healthcare – Good Health now depends on Code too!!

We have always known Python as an object-oriented, high-level programming language with dynamic semantics. It has attracted users from different platforms for its advantages in rapid application development and its dynamic building options. Little did we know that it is considered to be one of the “safest” programming languages, too, apart from all the popularity because of its functionality. Also, Python plays an important role in the healthcare sector.

Although it is tough for a normal person to believe that programming languages like Python are important in healthcare. There’s not only one reason that makes Python in the limelight of healthcare. There are several reasons which make Python an important asset for those researching in the healthcare department.

Let’s explore, what the importance of Python is in healthcare and why it is considered to be one of the safest languages.

Before moving ahead in the Python in Healthcare article, read a little about the Python Frameworks that are Django and Flask.

Django and Flask – The Python Frameworks

The performance of Python is appreciated against abilities like meeting deadlines, quality, and amount of code. To achieve the same, Python is present with a framework Django.

Its trustworthy modules are so effective that you don’t need to develop them yourself. Also, the built-in maintenance against the web-app attack adds to its utility. The Django framework allows developers to meet the requirements of any business idea related to eHealth or telemedicine projects.

There is also Flask, again a Python-based framework often used for building prototypes because of its great efficiency, and it can be extended to a full-stack framework with existing extensions. Its uses are still fewer than those of Django because it requires more time for configuration.

Why Python in Healthcare is Important?

Hospitals store mountains of patient data, and Python turns that raw text, scans, and sensor streams into clear answers. Doctors feed X-ray images through Python deep-learning models to spot early signs of cancer faster than the human eye alone. Using libraries like TensorFlow and PyTorch, teams build diagnostic tools that flag risk in seconds.

Benefits of using Python in healthcare:

• Fast diagnosis: Diseases like cancer and heart attacks can be easily diagnosed by a blood test and scan with high accuracy.
• Better patient care: The necessity of treatment can be predicted sooner in patients.
• Smart research: Scientists use it to discover new medicines and test DNA in a faster way.
• Reduced paperwork: Tasks like scheduling appointments and filling out insurance saves time in hospitals.

Below are some important reasons for using Python in the healthcare sector. Have a look –

1. Python and its frameworks work on principles that are equally grounded and agreed upon in the HIPAA checklist.

2. A full look at big data healthcare allows the organization to exchange information for seeking patient outcomes.

3. The performance of the platforms made with Python is focused on their availability on phones and the web.

How Medical Startups are using Python?

1. Roam Analysis

Uses machine learning (artificial intelligence) and comprehensive contextual data to take over biopharmaceutical and medical device companies that need to make decisions, suggest treatments, and get the best possible patient outcomes.

Roam’s platform is powered by a proprietary data asset called Health Knowledge Graph, which is continuously enriched using natural language processing to gather information and make connections with new data.

According to the official description, “Roam’s machine learning and data platform powers rich analysis of patient journeys to reveal the factors affecting treatment decisions and outcomes.”

2. AiCure

It is an NIH and VC-funded healthcare startup in New York. AiCure automates the process of ensuring that patients are taking their medicines, and that too at their assigned time. It has combined artificial intelligence and mobile technology.

For example, it uses computer vision to identify the patient (face recognition) and verify the right pill for the specific patient (using pill recognition) and they are actually consuming them (action recognition). They develop their backend applications using Django framework and use Python-based coding and research engineers to develop it.

Amazed by the magic of Python in Healthcare? Here are some more startups –

3. Drchrono

It is a software-as-a-service patient care platform that consists of a web and cloud-based app. This American company is for doctors and patients who make electronic health records available digitally and provides management and medical billing services. This is also a phone and web-concentrated platform.

4. Fathom Health

Again a Healthcare startup with deep learning NLP system for reading and understanding electronic health records. This startup with headquarters in San Francisco, California, is backed up by Google. Their employees are familiar with Flask for API programming, and data engineers prefer Python’s NLTK.

Summary

As we saw, Python is not only suitable for programming and web-based applications, but it is also helpful in the healthcare sector. Python is in a continuous development phase. That is one of the major reasons why Python got such a big hand in the healthcare department. This application of Python will lead to a better future and the betterment of healthcare. Healthcare is a challenging field, and Python is performing very well here.

Python’s role in Healthcare is not limited to here; many more applications of Python will lead towards a better and more high-tech future. Many of us are unknown from the fact that Iron Man’s Jarvis is made up of Python.

So you must start thinking of your future in Python. As Python is the most trending language, you must start learning Python on your own to secure your future.

Happy learning 😊