How Python is Key to Healthcare Assurance: A Brief Overview

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Python is well-known in the community of data modeling and data science applications. Together with Hadoop Apache, R, and other modern programming languages, enrolling for a Python Training in Bangalore is considered as the first step to growing in web application and database development.  

Why is Python so popular with the programming community?

  • It is open source programming language that has over 1000 libraries and community contributors
  • It is the safest programming language with 99.9% accuracy rates
  • It is the fastest language for A/B testing and Desktop GUI visualization
  • It is compatible for integration with other programming languages and arrays, with basic conversions for building database from lists, data frames and statistics

While most blogs on Python touch the superficial aspect of its applications, this article would specifically connect you with its role in the healthcare industry.

While traditional programming languages such as Java, C++ and C# are still used at many places, their compilation and integration is very complex in data analysis. As Big Data is the core of all industries today, Python is the best option to choose. That’s why healthcare is leading the pack as far as leveraging Python programmed modules are considered.

How Python is used in Healthcare and Medical Industry?

Contextual Data Analysis

Python is used by many medical start-ups to deliver contextual data analysis. These programming teams leverage machine learning to empower bio-pharmaceutical and medical device companies with real-time predictive intelligence. These are used to provide effective treatment and diagnosis of diseases using medical reports based on historical data.

Healthcare and Fitness Apps

Connected devices are disrupting the healthcare industry like no other. Doctors, nurses, surgeons, academicians and patients have direct access to medical files related to their specializations and symptoms, respectively. Python-based apps help to connect smartphones and desktops with database systems. They can generate data from connected devices such as wristbands, pacemakers, cranial sensors, retina scanners, breath analyzers, saliva testing, pathology tests, and DNA analysis.

Patient Recruitment Software

56% of the patients in the developed countries have no direct access to their nearest healthcare centers. These lead to rise in mortality from non-fatal diseases due to untimely diagnosis and poor follow-up check. Thanks to Python applications in healthcare, many nursing centers and hospitals are using Patient Identification and Recruitment software to accurately find those from the population who need immediate medical attention. These are programmed to find old, nursing mothers, pregnant, and new-born babies. It also works in case of emergencies such as accidents, fire, flood and fatal diseases, reported from local agencies.

With the proliferation of new technologies such as AI, machine learning, augmented intelligence, intelligent automation and natural language processing, the role of Python in healthcare will only grow exponentially in the next few quarters.

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