QASource Blog

No healthcare software platform is on its own island. All technology must work together and communicate with consistent clarity in the healthcare industry, no matter what company develops which product. And that technology must provide accurate results to all end-users in any kind of circumstance.

That’s because the stakes are high for healthcare software. A failure in meeting strict patient data security and privacy requirements for HIPAA compliance can lead to expensive legal consequences for your company. Even worse, gaps in the software system can be vulnerable to security threats or transmitting insufficient data when patients need it most.

Thanks to artificial intelligence, impossible ideas of the past have become the reality of today. With AI, we have discovered more about the greatness of outer space as well as the micro-complexity of diseases and the possibilities for more value remain endless. In everyday life, we interact with AI when talking to our smartphones, shopping online and streaming our favorite TV shows and songs.

So, it should be no surprise that software QA is quickly shifting towards integrating AI in QA testing. In fact, the AI industry is rapidly growing year after year and predicted to be one of the biggest software testing trends of this year.

So, you want to be a DevOps team? You’re ready to create a culture at your company that unites development and testing with operations. You want to see measurable results from projects benefiting both your business and your customers. You’re eager to speed up development cycles to remain competitive in your industry without sacrificing security or software reliability.

DevOps can make that happen. But first, you will likely have to make some changes. Let's explore 6 must-haves for your ultimate DevOps Testing Success.

Time to market and superior quality are the two key factors you need to lead in the digital industry today. The most diligent development teams take many steps to shorten their product release cycle in order to improve productivity, reduce time-to-market, and drive workforce efficiency.

As headlined in The New York Times only a couple of weeks ago, the Iowa Caucus debacle was “a systemwide disaster…” and the “app used to tabulate votes may have been inadequately tested.” While additional facts are still coming out, the entire nation watched as there were major delays obtaining and reporting on the Iowa results. And then there was uncertainty as to whether or not they were accurate. While the intent of creating this app was supposed to be positive – to enable simpler more streamlined reporting, faster – we know that’s not at all what happened. And, that’s not exactly how you want your new mobile app rollout and brand to be remembered.

As your business grows, data storage becomes one of the biggest challenges that you will likely face at some point. Among the myriad of big data challenges, the most notable are shortage of server capacity, sharing issues, security and file backup.

QA test execution can only be as strong as the strategy you have in place. One of the best QA practices we’ve noticed across many software companies actually happens before any testing begins. By implementing a strong plan with thorough processes, every member on your QA team knows what to deliver, when to deliver it by and why it's important. 

But how do you know if your strategy is sound?

Developing a comprehensive test strategy means never having to ask, “Where do we begin?”

A test plan vs test strategy comparison is useful in defining the role each plays in your SDLC. The test strategy defines your QA best practices. The test plan outlines how you will practically implement them toward getting a finished product to market.

Software quality assurance testing creates customers.

Its value lies hidden within the smooth flow of your UI, the ease with which a problem turns into a solution and the reliability and security that customers come to take for granted.

Software quality assurance is how you turn development innovation into customer experience execution.