Automated Testing Approach for Healthcare Mobile Application

Test Automation Framework

Technology Stack

Problem Statement

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Compliance and Regulatory Requirements: Healthcare mobility solutions need to comply with various regulations and standards such as HIPAA, FDA, and GDPR, which require thorough testing to ensure data privacy and security.

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Patient Safety and Quality of Care: Software bugs and glitches in healthcare mobility solutions can have severe consequences on patient safety and quality of care, making it crucial to have comprehensive testing in place.

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User Experience and Patient Engagement: Healthcare mobility solutions need to be intuitive and user-friendly to encourage patient engagement, making it essential to conduct usability testing to ensure a seamless user experience.

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Integration with Existing Systems: Healthcare service providers need to ensure that their mobility solutions integrate seamlessly with their existing systems, such as electronic health records (EHRs), making it necessary to perform integration testing.

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Cost and Time Efficiency: Healthcare service providers need to optimize costs and time-to-market for their mobility solutions, making it necessary to conduct automated testing to speed up the testing process and reduce costs.

Solution Overview

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Implemented a comprehensive testing framework to verify the functionality, performance, and security of the web and mobile solution.

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Conducted automated regression testing on every build release to ensure that new changes did not introduce any bugs or issues to the existing functionality.

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Reported any bugs identified during the testing phase using Azure DevOps, providing visibility to the development team and facilitating timely issue resolution.

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Developed new automated test scripts for testing new features and functions, making it easier for the healthcare service provider to ensure the quality of new releases.

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Utilized an on-premises device pool to simulate real-world scenarios, ensuring that the solution functioned optimally in a range of different environments.

Business Impact

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Improved Quality: OptiSol's implementation of automation regression testing and performance testing lead to a 90% reduction in defects in healthcare platform making it consistent and error-free, resulting in improved quality.

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Better Improved Efficiency: With the Jar file generated and provided as support for automation, OptiSol provided 40% improved efficiency by enabling testing on any system easily, without the need for any framework or coding dependencies.

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Cost Savings: OptiSol's implementation of testing strategies helped the healthcare provider to reduce costs by detecting issues early in the development cycle, resulting in a 30% decrease in overall project costs.

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Enhanced Scalability OptiSol applied cross-browser testing that resulted in 25% increase in the healthcare platform's scalability. Testing strategy involved selecting browser types and OS through an Excel file and test the platform's scalability across different platforms.

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Seamless User Experience: With the consistent functioning of both the web and mobile applications, the healthcare platform provided a seamless user experience.

Testing Strategies Applied

Automated Regression Testing

  1. Automated regression testing is a technique used in software testing that automates the re-execution of previously executed test cases.
  2. The purpose of this technique is to ensure that existing functionalities of a software application still work as expected after changes or updates have been made.
  3. The primary objective of automated regression testing is to detect any regression issues that may arise from these changes or updates and ensure that the software application’s existing functionalities have not been impacted.

Performance Testing

  1. Performance testing is a software testing technique that assesses the performance of an application by subjecting it to various workload scenarios.
  2. The aim of performance testing is to uncover any performance-related problems, such as slow response times, bottlenecks, or resource utilization issues, and optimize the application’s performance accordingly.
  3. This type of testing usually involves simulating multiple workload scenarios and measuring the application’s response time, throughput, and resource utilization in each case.

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Key Outcomes

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Automated Testing Saves Time and Money

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Perform Testing On Multiple Platforms In Parallel

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Faster Feedback Cycle

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Reduced Business Expenses

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Reusability of Test Suite

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Improved Accuracy

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Eliminate Human Error

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Increases the Test Coverage

Our Award-Winning Team

A team of young, dynamic and curious minds recognized with global awards for making a significant impact on making human lives better

Listed in D&B’s list of leading 1000 SMEs (Across verticals) in India under the Service Category

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250+

Smart
Development
Engineers

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90+

Digital
Projects for
reputed Clients

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14yrs

in Digital
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

Trusted and Proven Engagement Model

  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.
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