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Modern Medical Enterprises Absolutely Need Test Automation. Here’s Why.

3 minutes, 38 seconds read

The healthcare industry is getting a comprehensive digital facelift. Digital Health Systems (DHS) that use new digital technologies like artificial intelligence & robotics are delivering smarter healthcare services and better health outcomes to the masses. Health organizations are increasingly relying on them to improve care coordination, chronic disease management and the overall patient experience. These health systems are also alleviating repetitive administrative tasks from the roles of healthcare professionals, allowing them more time to practice actual healthcare.

The Modern Medical Enterprise draws on digital-enabled technologies such as telemedicine, AR/VR and remote-monitoring wearables to diagnose diseases and promote self-care. These applications rely on high-volume processing of patient data on a frequent basis.  Healthcare organizations also need to share/receive this information securely over a distributed network. However, sharing patient information remains a challenge, while the inability to access these records in a time-sensitive manner can affect the time-to-treatment for patients.

Deploying digital health systems that are both compliant to regulatory standards and functionally stable for a large number of concurrent users requires significant manned effort. Moreover, QA teams comprised of manual testers may end up working on repetitive manual test case scenarios that can lead to challenges in scaling or rolling out new features. 

How can the modern healthcare enterprise keep pace with issues posed by the safe deployment of their digital health systems? Automated Testing is a hallmark process of any digital transformation project. It gives enterprises the ability to shorten their release cycles and meet their business needs without affecting productivity or operations across the healthcare value chain. Test Automation also allows medical enterprises to run repeatable and extensible test cases against real-world scenarios.

Test Automation Use Case

The growth of DevOps and the rise of mobile-first applications are responsible for driving the growth of the test automation market globally. Today, enterprises are able to go faster-to-market owing to the technological advancements in quality assurance & testing.

For instance, in the case of a large US-based teleradiology firm that offers enterprise Imaging Solutions for improving patient care — a stable and reliable system mandated custom-built test automation frameworks. The medical technology company provides fast & secure access to diagnostic quality images using any web enabled device. To achieve this, they have built a cloud-based image sharing platform that allows digital image streaming, diagnostic & clinical viewing, and archiving for healthcare organizations.

Medical Image sharing among healthcare organizations is altogether brimming with security risks, and requires a complex network of systems to facilitate its smooth functioning. 

medical imaging system architecture
Medical Image Sharing Process among Healthcare Organizations

Also read – How are Medical Images shared among Healthcare Enterprises? 

In order to fulfil their business objectives, Mantra Labs identified key challenges for their testing requirements, namely —

1. Scalability
The platform must be able to support a high number of concurrent users.

2. Fail-over Control

The platform should behave functionally correct under very high loads with stable fail-over capability.


3. Efficiency & Reliability
The platform must scale rapidly when supporting a large user base & multiple formats with minimal page navigation response time.

Several testing components were deployed along with test automation techniques to address the full range of QA issues, including: functional testing, integration testing, GUI testing, and regression testing. 

Mantra Labs created a federated architecture to ensure near-perfect scaling, and true load & data isolation between different tenant organizations. The federated architecture consists of a number of deployments and a central set of components that stores global information like lists of organizations & users, and provides a centralized messaging service. 

test automation process flow diagram for modern medical enterprises
Mantra Labs Test Automation Process

Test Automation Improves Accuracy & Test Coverage

The entire cycle of bug detection in the UI, API and Server Loads involves several weeks of regression manual efforts. By automating tests, techniques like Stochastic Tests can be applied to detect bugs and reduce the overall cycle time.

Through Mantra Labs deep medical domain expertise, in-depth testing practices, intuitive suggestions for platform scaling and successful test automation efforts — significant business objectives were realised over the course for the client. Mantra was able to achieve over 60% reduction in cycle time, and about 65 per cent improvement in bug detection capability before the release cycle.

Nearly 35% of Executive Management objectives revolve around implementing quality checks early in the product life cycle, which can be achieved through test automation. For further queries and details about automated testing, please feel free to reach us at hello@mantralabsglobal.com

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Enhancing digital patient experience with healthcare chatbots

5 minutes read

Chatbots are fast emerging at the forefront of user engagement across industries. In 2021, healthcare is undoubtedly being touted as one of the most important industries due to the noticeable surge in demand amid the pandemic and its subsequent waves. The Global Healthcare Chatbots Market is expected to exceed over US$ 314.63 Million by 2024 at a CAGR of 20.58%.

Chatbots are being seen as those with high potential to revolutionize healthcare. They act as the perfect support system to agents on the floor by providing the first-step resolution to the customer, in terms of understanding intent and need, boost efficiency, and also improve the accuracy of symptom detection and ailment identification, preventive care, feedback procedures, claim filing and processing and more.

At the outset of the COVID-19 pandemic, digital tools in healthcare, most commonly chatbots, rose to the forefront of healthcare solutions. Providence St. Joseph Health, Mass General Brigham, Care Health Insurance (formerly Religare), and several other notable names built and rolled out artificial intelligence-based chatbots to help with diagnostics at the first stage before a human-human virtual contact, especially while differentiating between possible COVID-19 cases and other ailments. The CDC also hosts an AI-driven chatbot on its website to help screen for coronavirus infections. Similarly, the World Health Organization (WHO) partnered with a messaging app named Ratuken Viber, to develop an interactive chatbot for accurate information about COVID-19 in multiple languages. This allowed WHO to reach up to 1 billion people located anywhere in the world, at any time of the day, in their respective native languages.

For Care Health Insurance, Mantra Labs deployed their Conversational AI Chatbot with AR-based virtual support, called Hitee, trained to converse in multiple languages. This led to 10X interactions over the previous basic chatbot; 5X more conversions through Vanilla Web Experience; Drop-in Customer Queries over Voice Support by 20% among other benefits.

Artificial Intelligence’s role in the healthcare industry has been growing strength by strength over the years. According to the global tech market advisory firm ABI Research, AI spending in the healthcare and pharmaceutical industries is expected to increase from $463 million in 2019 to more than $2 billion over the next 5 years, healthtechmagazine.net has reported. 

Speaking of key features available on a healthcare chatbot, Anonymity; Monitoring; Personalization; collecting Physical vitals (including oxygenation, heart rhythm, body temperature) via mobile sensors; monitoring patient behavior via facial recognition; Real-time interaction; and Scalability, feature top of the list. 

However, while covering the wide gamut of a healthcare bot’s capabilities, it is trained on the following factors to come in handy on a business or human-need basis. Read on: 

Remote, Virtual Consults 

Chatbots were seen surging exponentially in the year 2016, however, the year 2020 and onwards brought back the possibility of adding on to healthcare bot capabilities as people continued to stay home amid the COVID-19 pandemic and subsequent lockdowns. Chatbots work as the frontline customer support for Quick Symptom Assessment where the intent is understood and a patient’s queries are answered, including connection with an agent for follow-up service, Booking an Appointment with doctors, and more. 

Mental Health Therapy

Even though anxiety, depression, and other mental health-related disorders and their subsequent awareness have been the talk around the world, even before the pandemic hit, the pandemic year, once again could be attributed to increased use of bots to seek support or a conversation to work through their anxiety and more amid trying times. The popular apps, Woebot and Wysa, both gained popularity and recognition during the previous months as a go-to Wellness Advisor. 

An AI Wellness Advisor can also take the form of a chatbot that sends regular reminders on meal and water consumption timings, nutrition charts including requisite consultation with nutritionists, lifestyle advice, and more. 

Patient Health Monitoring via wearables 

Wearable technologies like wearable heart monitors, Bluetooth-enabled scales, glucose monitors, skin patches, shoes, belts, or maternity care trackers promise to redefine assessment of health behaviors in a non-invasive manner and helps acquire, transmit, process, and store patient data, thereby making it a breeze for clinicians to retrieve it as and when they need it.

Remote patient monitoring devices also enable patients to share updates on their vitals and their environment from the convenience and comfort of home, a feature that’s gained higher popularity amid the pandemic.

A healthcare chatbot for healthcare has the capability to check existing insurance coverage, help file claims and track the status of claims. 

What’s in store for the future of chatbots in Healthcare? 

The three main areas where healthcare chatbots can be particularly useful include timely health diagnostics, patient engagement outside medical facilities, and mental health care. 

According to Gartner, conversational AI will supersede cloud and mobile as the most important imperative for the next ten years. 

“For AI to succeed in healthcare over the long-term, consumer comfort and confidence should be front and center. Leveraging AI behind the scenes or in supporting roles could collectively ease us into understanding its value without risking alienation,” reads a May 2021 Forbes article titled, The Doctor Is In: Three Predictions For The Future Of AI In Healthcare. 

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