Python has gained a lot of popularity in recent years and it doesn't seem to be losing momentum anytime soon. According to current trends, Python is currently ranked as the second most popular programming language, with a significant increase in usage over the past year.  And we anticipate another 50 percent increase in its ranking by the end of 2024.

Not too long ago, healthcare was all about personal connections between doctors and patients, using handwritten notes and talking directly. But as healthcare grew and more information about patients came in, it became clear that we needed a better and more organized way of doing things. Hospitals and clinics had to change how they worked, aiming for smoother processes, quicker decision-making, and better communication among healthcare workers.

There are some key DevOps practices that enable organizations to automate and streamline the software development processes. Continuous Integration and Delivery (CI/CD), Continuous Deployment, Microservices, Infrastructure as Code (IaC), Containerization, Monitoring & Logging are a few of them. 

Python has evolved as one of the most versatile programming languages. Introduced in the year 1991, it has become one of the favourite programming languages for developers, startups, and some of the giant tech brands for several reasons. There are thousands of applications built using this server-side programming language.

The healthcare industry is on a constant lookout for digital solutions to conduct the financial, administrative, and clinical operations of a hospital. These days, these are largely carried out by means of a set of informatics tools, collectively known as Hospital Information Systems (HIS). In addition to a  patient's health information, inventory and personnel data are also stored, managed, and transmitted across a HIS.

Fast Healthcare Interoperability Resources (FHIR) is a healthcare data exchange standard created by Health Level Seven or HL7. Having developed advanced tools for safe and secure data exchange such as EMR, Diagnostic Data, or PHI – FHIR has given a boost to the healthcare sector.

The evolution of React Native technology is quite fascinating. What started as Facebook’s internal Hackathon project in 2013 is now one of the trending frameworks for Android and iOS mobile app development. In March 2015, Facebook, in its F8 conference announced the availability of React Native on Github. And now, developers are making the most of modern web techniques on mobile.

User experience (UX) has always been the element of precedence in a mobile app. A lot of efforts are put in to refine usability of an app and all of it starts with the login screen design. 

Cross-platform development toolkits are winning over the developers’ community. Reusable blocks of UI, reactive performance, code usability on multiple platforms are some of the reasons why these cross-platform app development frameworks are gaining ground. One such sought-after framework for mobile app development is Flutter by Google.

The accuracy of deep learning models depends upon the quality, quantity, and contextual meaning of the training data set. However, the scarcity of this up-to-the-market data set is one of the major challenges in building DL models.