Programming Language Choice for Healthcare Solutions

mHealth apps

Telehealth and health IT systems

Wearables and fitness trackers

Software for medical devices

App type (e.g. mobile, wearable, website, etc.)

Supported device or platform (e.g. iOS, Android, Windows, etc.)

Security features to ensure HIPAA compliance

Maintainability to ensure long-term sustainability

Complexity of the app

The desired app features

JAVA

Stable and economical to maintain

Slow performance

Platform Independent (i.e. runs on any system that supports JVM)

Poor GUI

Cross-platform development capabilities

Verbose and complex syntaxes

Easy to learn, code, and debug

No backup

Built-in security features (e.g. security manager, sandboxing, etc.)

Broad user community

Wide range of APIs

Kotlin

Open-source

Limited learning resources

Can work either natively or with JAVA

Enhanced reliability

Fully Java-interoperable

Improved error messages system that simplifies finding and fixing bugs

Intuitive and succinct syntax

Clear and compact codebase that ensures stability and consistency

Easy to maintain

Enhanced reliability

Improved error messages system that simplifies finding and fixing bugs

SQL

Fast query processing

Some versions are expensive

Easy to learn

Complex interface

Requires minimum coding and writing skills

Users don’t have full control over databases

Portable

Constantly under threat due to the sensitive data it holds

Highly interactive

MySQL

Enhanced security and reliability

Doesn’t support SQL check constraints

Open-source

Poor debugging tool

Portability

Development is not community-driven

Compatible with most operating systems

Certain stability issues

Easy to manage

Robust transactional support

PYTHON

Enhanced security (HIPAA compliance)

Open-source

Automation

Requires extra effort for Android and iOS usage

Readable and easy syntax

High memory usage

Scalable when dealing with huge amounts of data

Extensive community support

Plethora of available libraries and frameworks

Code reusability

Interoperability and versatility

Ideal for prototypes

HTML

Simple to learn

Requires extensive code

Browser-friendly

Restricted security

Open-source

Static language

Straightforward structure

Limited security features

Lightweight and fast to load

Errors tend to be costly

Platform-independent

Each page has to be programmed separately

Huge community support

R

Multiple built-in statistical functions

Slow speed

Straightforward syntax

Poor memory management

Good graphing facilities

Poor security measures

Massive community support

Cross-platform support

It can perform web scraping, data wrangling, and data cleansing

Can be used in ML

Compatible with various programming languages

C

Serves as a building base for other languages such as C++, Java, etc.

Complex code checking

Easy to learn

Lack of exception handling

Numerous built-in functions

No code-reuse

Portable

Prone to memory corruption that affects data security

Dynamic memory allocation

No OOP concepts

Uses procedural programming

Requires manual high-level constructs

Able to extend itself

Low level of abstraction

C++

Scalable

Uses memory-consuming pointers

Can be treated both as a low-level language and a high-level language

Security issues due to features such as pointers or friend functions

Compatible with C

No garbage collector

Full control over memory management

Very complex to learn

Portable

Does not support built-in threads

Multi-paradigm

Very strict syntax

Large community support

Useful for a wide array of apps

SWIFT

Open-source

Limited number of experts to hire

Improves readability and prevents errors

Poor interoperability with IDEs and third-party tools

Interoperability with Objective-C

Compatibility issues

Cross-device support

Easy to maintain

Enhanced safety and performance

Dynamic community support