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Tech Verse

The global mobile healthcare market is rising and can potentially change the medical industry. As of 2021, the mHealth market has valued at $38.2 billion. Moreover, the predictions reveal that the global mHealth market will grow at a CAGR (Compound Annual Growth Rate) of 11.8% from 2022-2030. The adoption of fitness devices and medical applications to keep track of health using smartphones are the primary reasons for the industry’s growth.

Furthermore, mHealth applications became more prevalent. Many countries’ governments relied on mHealth applications to manage COVID-19 patients and regions affected by it. Launched in India, the Arogya Setu app is a remarkable example of such mHealth applications. Developing mHealth applications is essential, and so does being cautious. Therefore, a good programming language will ensure the functioning and security of an application.

Here are the Top 6 Programming Languages Used in Developing Healthcare Tech

JAVA:

Java is a widely used programming language in developing applications. Around 60% of companies require Java or Java developers around the globe, according to a survey by CodinGame Developer in 2021. The applications and games you use in your routine are most probably designed using Java.

Although Java is one of the oldest programming languages, it is still robust, easy-to-use, secure, and cross-platform capable, which makes it ideal for programming applications. Java is the most preferred language for programming healthcare applications, especially for Electronic Health Record (EHS) systems.

Python:

Python has become a frequently used programming language in the mHealth application industry. Over the years, Python has been used for various purposes, such as mobile app development, game development, the Internet of Things (IoT), data science, and machine learning.

Python is easy to learn as it is free of complex syntaxes. Thus, Python saves time in developing an application or bug fixing. You can run Python code on most of the available operating systems as its decipherers are available for various platforms.

C:

C, the mother of all programming languages, is a language that programmers use to develop operating systems, compilers, applications, games, and graphics. C is compatible with most programming languages. Thus, it is perfect for developing mHealth applications.

C language to easy to learn and has numerous built-in functions. The language is exceptionally portable and uses procedural programming. To this date, some healthcare organizations use old operating systems like LINUX or UNIX. For these systems, the C language is an ideal programming language.

SQL:

Standard Query Language (SQL) is a programming language used to store, manipulate, and retrieve data in a relational database. The data is stored in a tabular form. Moreover, it is the standard language for relational database management systems, according to American National Standards Institute (ANSI).

Some prominent Fortune 500 companies have built their robust database systems using SQL. As healthcare enterprises have to deal with a lot of data, SQL is perfect for managing data. Now, audits will not take much time.

HTML:

HyperText Markup Language or HTML is a standard markup language used to design web pages. Moreover, HTML is mostly used for building a website. With a unique website, hospitals can acquire new patients, do marketing, spread awareness, online appointment bookings, and know about doctors.

HTML is an open-source programming language that is easy to learn and use. The structure of HTML is pretty straightforward. Moreover, it is fast to load, meaning you will get results in no time.

R:

Designed by statisticians, R is a programming language for statistical computing. Therefore, it is also known by another name, ‘lingua franca of statistics.’ Whenever the object is an efficient analysis, R is the primary choice of every coder.

Moreover, R is an open-source language that comes with the capability of designing a suitable user interface (UI). The visual representation of the data matters for every application. Thus, R language can help you create a visually stunning mHealth application for your consumers.

Conclusion:

The mHealth sector is growing at a rapid rate. The sector has a broad scope, and there are even developers and companies significantly specializing in healthcare applications and web development. No programming language is immaculate. The choice depends upon the purpose of the application and the talent of the developers.


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