What role does your company play in the healthcare sector? It is no surprise then that competitors are increasingly relying on mobile apps to provide access to medical services, facilitate payment of bills, streamline coordination, centralize medical data, and enable remote monitoring.
The increasing prevalence of the epidemic is likely to result in an increased demand for medical applications on mobile devices. To stay up to date, it is recommended that those who have not yet started using mobile apps should consider doing so.
Both your company and your consumers will benefit from the adjustment.
Making the transition from a stationary to a mobile setup may seem intimidating, as it involves changing the core structure of your organization. However, if you are equipped with the necessary skills, the process is not as daunting as it may appear.
When developing a healthcare app, it is important to consider the programming languages that will be used early on in the process. This will allow you to recruit the developers with the necessary expertise to ensure the app is developed successfully. Therefore, it is essential to understand which programming languages are best suited for healthcare applications. Let us explore this further.
Kotlin is the leading choice for Android application development, as it is the official language used by Google. The prevalence of Android devices is clear, with a market share of 70.1%, and this is a demographic that cannot be ignored. Although Java remains the most widely adopted language, Google have announced plans to replace it with Kotlin in the future.
Our decision to go with Android is largely determined by market share and, despite Google’s plans to move away from Java, this remains a viable option. Java is a popular choice in the healthcare sector, as it is used for diagnostic and interventional systems, record-keeping, cloud and server applications, and online applications. Additionally, Java is the language on which Android was initially built, providing applications with a considerable speed and stability boost. Nevertheless, it is important to note that in the future, it may be necessary to switch from Java to Kotlin for Android applications.
It is essential that your software is available on Apple’s iOS platform, as in certain marketplaces such as the US and Japan, iOS dominates the mobile landscape. The Swift programming language is the standard for developing iPhone apps and is open source, allowing for regular updates. Additionally, the dynamic libraries used by Swift make it straightforward and swift for developers to ensure the libraries are up to date.
XML may not be the first language that comes to mind when considering the creation of mobile applications, however it does provide a structured approach to document encoding which could be highly beneficial for programs requiring specific levels of adherence. XML could be advantageous in applications that administer medical documents.
When considering a new mobile project, Python is often an overlooked language. However, Python is an ideal choice for integrating large datasets and utilizing Artificial Intelligence (AI) or Machine Learning (ML). It is also one of the most popular languages used for the Internet of Things (IoT), ensuring your mobile app is compatible with such devices. With the IoT on the rise, this could be a huge benefit for your business.
In order to ensure that your web applications can effectively communicate with your websites, HTML has been added to the list of requirements. Therefore, it is necessary to hire developers who are proficient in HTML in order to create the websites that will act as communication platforms for the applications.
By 2023, there is expected to be a significant rise in the demand for mobile apps. In order to remain competitive in this busy market, it is recommended that organizations consider incorporating a mobile app into their business strategy. Adapting to meet this requirement should not be too difficult, provided the business is equipped to use one or more of the relevant programming languages.