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Nurse Daisy needed to scale its virtual medical assistant platform to support complex diagnostic workflows while ensuring high clinical accuracy. The client faced significant pressure to manage vast symptom datasets and provide reliable, automated health assessments. Their primary goal was to transition from manual, error-prone data handling to a robust, automated infrastructure that could support rapid diagnostic scaling and long-term operational efficiency.
WebMob delivered a comprehensive healthcare software solution designed to streamline disease diagnosis and virtual medical aid. By integrating a sophisticated symptom mapping engine and an interactive body map, we enabled the client to offer precise, data-driven health assessments. This platform facilitates 24/7 access to medical experts, automated report generation, and integrated health tracking.
The client faced significant operational hurdles in scaling their diagnostic accuracy and ensuring the reliability of their interactive medical features.
Complex Symptom Data Management
The client struggled to map and manage over 100 distinct symptoms, which were essential for accurate diagnosis but presented a massive data integration bottleneck that hindered the platform's diagnostic capability.
We implemented a modular integration strategy using Playwright and JavaScript, breaking down the symptom data into manageable segments to ensure precise mapping and reliable diagnostic output.
Automated Visual Diagnostic Testing
The client required high-precision validation for their interactive body map feature, but lacked the automated infrastructure to verify visual interactions accurately across diverse user scenarios.
We developed automated test cases for the body map, ensuring that every visual interaction was validated for precision and reliability, thereby maintaining the integrity of the diagnostic process.
Rapid QA Environment Adaptation
The client's project timelines were threatened by the need to adopt new testing methodologies and tools, which required immediate expertise to maintain the development velocity of the platform.
We rapidly upskilled the QA team in advanced automation tools and integrated the Page Object Model, allowing for efficient maintenance and automated reporting within the client's CI pipeline.
We engineered a secure authentication module that allows users to manage their accounts via email. This enables the client to maintain accurate user records and ensure data privacy.
We built an intuitive selection interface covering over 100 symptoms. This allows the client to gather precise health data from users to facilitate more accurate medical diagnostic assessments.
We developed an interactive body map that enables users to pinpoint specific areas of concern. This helps the client collect targeted information to assist experts in identifying issues.
We implemented a data entry system for tracking heart rate, weight, and blood pressure. This provides the client with a longitudinal view of user health metrics for better monitoring.
We created an automated reporting engine that aggregates symptoms and vitals into a single view. This enables the client to track user health progress and maintain clinical oversight.
We integrated a ticketing system that allows users to log issues and track status. This enables the client to manage support requests efficiently through a structured tabular interface.
We built a scheduling module that displays appointments and clinical notes. This enables the client to coordinate care delivery and keep users informed about their medical consultations.
We integrated a gaming module to enhance user retention within the application. This allows the client to increase platform engagement by providing interactive content for their users.
Nurse Daisy is built using modern testing and development tools to ensure efficient healthcare diagnosis, automation testing, and seamless project management.
JavaScript (JS)The client successfully transitioned to a scalable, automated diagnostic platform that ensures clinical precision and operational efficiency.
| Capabilities | Before | After |
|---|---|---|
| Symptom Mapping | Manual and fragmented data entry | Automated, integrated symptom database |
| Visual Testing | High risk of manual interaction errors | Precision-validated automated test cases |
| Reporting | Disjointed health data tracking | Unified, CI-integrated health reports |
Understood the business goals, user needs, existing workflows, and technical requirements.
Defined the system architecture, technology stack, integrations, and data flow required for the solution.
Built the core platform in agile sprints, integrating APIs, backend services, frontend experiences.
Launched the solution, monitored performance, resolved initial issues, and ensured a smooth transition to production.
Validated functionality, performance, security, and usability before preparing the solution for production.
WebMob delivered a robust, automated software foundation that significantly improved the client's diagnostic accuracy and operational throughput.
The platform now supports rapid expansion of diagnostic data without compromising system performance.
Automated mapping and testing ensure that every diagnostic input is validated for medical reliability.
Automated reporting and CI integration reduced manual oversight, allowing the team to focus on care.
Integrated features like scheduling and entertainment drive consistent engagement with the medical platform.
Nurse Daisy is a healthcare software that helps in disease diagnosis and provides virtual aid from the doctors. The platform provides efficient diagnosis, report control, medication facility, care plan reminders, family health tracker, and virtual consultation through video call or text. With over 100 symptoms, body map integration, vitals tracking, reporting, and request management, it serves as a one-touch healthcare app that helps diagnose a disease via its signs.
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We employ modular integration techniques and automated testing frameworks like Playwright to validate every data point against clinical requirements.
Yes, we specialize in integrating automated testing artifacts directly into CI pipelines to ensure continuous quality assurance throughout the development lifecycle.
We prioritize rapid upskilling and the implementation of maintainable design patterns like the Page Object Model to ensure project velocity is maintained.
Our architecture is designed with modularity in mind, allowing for the seamless addition of new symptoms and features without disrupting existing diagnostic workflows.
We use precision-based automated visual testing to ensure that interactive elements remain accurate and reliable across all user scenarios and device types.
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CIN: U74999GJ2016PTC092785
