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How Is Automation Testing Enhancing The Healthcare Industry During COVID-19 Pandemic?

Rapid advances in healthcare technology over the last decade have provided hospitals and health related sectors with efficient software solutions, applications, patient management devices and tools for transforming the way services are offered. Healthcare sectors can now continuously update services and collect more data than ever before, providing patients with more streamlined and effective care. With the growth of software solutions in healthcare, the popularity of Automation testing in QA has also gained momentum—not as a trend, but prominently because of the ongoing COVID-19 pandemic. This is mainly because automation testing allows QA healthcare teams to perform more test cycles in a short period of time than manual testing. It also focuses on the tiresome test case scenario where the tester has to identify and correct errors by themselves. With automation testing frameworks, the test scenarios are capable of identifying & correcting bugs for healthcare applications, freeing testers to perform exploratory and regression testing.

Automation Enhancing Healthcare Industry

What Is Automation Testing?

To overcome the competition of today's digital marketplace, industries must continually update and enhance their services or products based on user demands. They must also ensure that the monolithic application will stay true to its legacy and newer updates will not only preserve but improve the efficiency. This situation will surely increase the strain on developers but more importantly, it will pressurize manual testers as they must ensure that the application is ready for deployment. With continuous client demands, release cycles are compressed and the time to market is reduced, but the testing effort expected to detect errors still remains the same. Test automation services experts are significantly challenged to lessen the time and cost taken to complete a testing cycle while improving the quality of the application/software, and Automation Testing can do exactly that. Automation testing guarantees that regression testing is executed with logical frameworks, while significantly reducing the time taken. 

What Makes Automation Testing Relevant During COVID-19?

The COVID-19 pandemic is ongoing, and without the proper utilization of digital services, it will be too difficult to respond to this crisis and inform the general public about the latest reports. Healthcare conglomerates all around the globe are either updating monolithic applications with Microservice, Kubernetes, or cloud technology to meet the emerging demand or developing newer applications to keep up with the competition. While application development companies can develop efficient applications, most of them are not able to meet the growing client demands or technology implementations such as AI or ML. Because at the end of the day, these are healthcare applications and they should be inevitably accurate, efficient, and secure as patients' well being are dependent on these applications. Currently, the healthcare industry cannot function without proper healthcare applications or software, which is why it becomes important to be efficient, secure, and capable of handling large quantities of data. The industries must also ensure that these solutions comply with the Health Insurance Portability and Accountability Act (HIPAA) and other regulations set by governments during the pandemic. Therefore, in order to meet rigorous evaluation standards, implement ethical frameworks, meet time to market and much more, the solutions must be exhaustively tested, and that’s through automation testing.

Various Healthcare Use Cases Where test automation is absolutely necessary

As we have already learned, digital technologies are being implemented to encourage the public-health response to the coronavirus pandemic worldwide. Governments and healthcare sectors have utilized various digital methods including surveillance, thermal scanning, contact tracing, and interventions using mobile applications or software. These accelerated responses are made by leveraging mobile application data from millions of users, patient healthcare datasets, connected devices, relatively cloud computing and advancements in artificial intelligence and natural language processing (NLP). To ensure that patient well-being is safeguarded, enterprises must ensure the application works effectively before they are handed over to the healthcare sectors. Below are various healthcare use cases where test automation is absolutely necessary.

Online Data Sources For Early Disease Detection

Due to the covid, 19 crises both healthcare sectors, as well as government agencies, have established population-surveillance systems that analyze and scan millions of people at a time. People are scanned for abnormal heat readings or other thermal radiations and can be detained if their reading is different from others. These health-related data are then transferred to laboratories, clinicians and syndromic surveillance networks. These data/information are then precisely updated on news channels or websites, COVID-19 based mobile applications, and social media platforms. Therefore, the data sources have to be increasingly accurate and must be capable of being integrated into the formal surveillance landscape.

From the applications used to analyze the situation to the applications that convey information to millions of users, each functionality or module must work without fail. Therefore, without accurate testing, these applications/software can suffer from selection bias, over-interpretation of findings and lack of integration with official national surveillance that report established surveillance metrics. Since these applications are urgently required, manual testing will take a lot of time and several resources or testers working non-stop. This is why most companies depend on automation testing to ensure that these software or applications would be beneficial to the millions of people that download them and must only provide precise as well as relevant information.

Data-visualization Software for Decision Support

Information and data passing dashboards are being utilized rigorously during the pandemic. These dashboards are capable of analyzing real-time health data, which includes the total number of confirmed cases, deaths and testing in each region individually. These precise and trustworthy information is used to keep the public notified and support policymakers in refining interventions. The COVID pandemic report/analytics dashboards can be integrated into any software or application and incorporate regional maps, statistics charts as well as in some cases the vaccine availability. Therefore, implementation with any software or the possibility to make rapid changes in UI/UX or frameworks is crucial for these applications. Developers must ensure that these dashboards are platform-independent and can be integrated with any operating system (OS). Manual testing of these applications under huge bandwidth, multiple OS, or platforms can be not only time-consuming but also expensive. With automation testing, enterprises can write and develop frameworks that can stimulate the real-world usage of the applications. Test infrastructures can generate millions of users to use the application at the same time, therefore determining how well the application works in real use cases.

The future of health sectors is likely to be increasingly digital, even after the whole COVID-19 pandemic situation. Governments, healthcare industries and even enterprises have recognized the inevitable significance of digital technology in this sector. Relevant enterprises in the digital transformation journey, such as IT companies, should be long-term partners in preparation rather than being partners only when emergencies are ongoing. Above all, every domain must realize that it doesn't end with just developing efficient software, you must ensure that it is properly tested and verified before deployment.

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