1
Provided tech consulting before the engineering stage and on an ongoing basis during the support and maintenance
Before starting development, the MobiDev team conducted a tech strategy consulting to ensure seamless integration with the client’s ecosystem. This process involved defining a product vision aligned with the client’s business goals, designing a clear and intuitive solution architecture, and selecting a scalable technology stack. Additionally, we developed a strategic roadmap that outlined timelines, resource allocation, and key milestones to guide the project from concept to launch. After the platform’s initial release, the MobiDev team has continued to provide ongoing support through regular software audits and strategic planning, ensuring the platform evolves with the client’s needs. This ongoing collaboration has been particularly critical for updates such as the implementation of an AI-powered chatbot.
2
Elevated user experience for seamless healthcare interactions
After completing the requirements review, MobiDev’s design experts confirmed their commitment to placing a particular focus on user experience. By emphasizing intuitive interfaces and straightforward navigation, we designed a platform that simplifies appointment scheduling, medical consultations, and data sharing, intending to make healthcare more accessible and efficient for all users involved.
3
Collaborated with the in-house team
Our team worked closely with the client’s in-house team to deliver a comprehensive patient and doctor portal, complete with a management and analytics module to support hospital-wide integration. The client’s team took on a key role in managing integrations and database processes, bridging data, and providing the necessary structures for testing with anonymized data. This collaboration enabled seamless synchronization between teams, which is essential for developing a complex solution compatible with various EHR systems.
4
Achieved smooth integration into the client’s existing ecosystem
Collaborating closely with the client’s in-house team, we integrated the new application and workflows within their existing system framework. This effort began with a thorough software audit to fully understand the current architecture. Leveraging these insights, we aligned the new application’s features with existing processes, addressing potential compatibility challenges.
5
Developed a secure framework for managing healthcare data
To ensure a reliable and secure product, we leveraged HIPAA-compliant Amazon cloud services, which provided an optimal foundation for data protection. However, since some hospitals preferred to operate on local servers, we worked closely with their support teams to adapt the product to meet their specific requirements. For data security in the Amazon environment, we used encrypted RDS, securing both data storage and transport. Encrypted ElastiCache was also implemented to safeguard event management. To protect sensitive information on the front end, we incorporated security features such as preventing browsers from caching confidential data (e.g., x-ray images) and blocking the storage of search histories involving personal patient data like names and emails. For secure user authentication across different scenarios, we applied OAuth2 and JSON Web Token (JWT) standards.
6
Implemented automation and deployment processes for streamlined delivery
We delivered a well-managed, flexible process with transparent delivery, essential for creating an enterprise healthcare product. Our efforts focused on integrating the development pipeline and management framework with the client’s in-house team for seamless collaboration.
To enhance reliability, we automated testing for most components, covering APIs, UIs, and unit tests. Additionally, we established continuous integration and delivery (CI/CD) to support consistent and efficient product updates.
7
Provided AI consulting & engineering for chatbot development in later versions of the application
To implement an AI chatbot in the application we had already launched, our AI engineers first assessed the existing infrastructure and identified technologies that aligned with the client’s technical and business needs. We integrated the LUIS Service to enable the chatbot to understand user intents and extract key details, ensuring accurate and context-aware communication. To streamline information delivery, we used the QnA Maker Service to create a scalable knowledge base, allowing the chatbot to provide quick and precise answers to frequently asked questions. The developed chatbot helped the client reduce call center workload and provide 24/7 assistance to patients, thus enhancing the overall user experience.
