Mobile App for Patient Engagement

Success Stories

Mobile App for Patient Engagement

Client: Clinical Research Organization

Problem Statement: The client needed a mobile application to engage with patients during their quarantine period and conduct surveys remotely to collect data for clinical research purposes.

Spanidea Solution: Spanidea developed a mobile application to address the client’s need for patient engagement and data collection. The application provided essential features to facilitate surveying patients and streamline the data collection process. The key features of the solution included:

Two user roles: Admin and Patient:

The application had two user roles: Admin and Patient. Admins had access to a web application, while patients utilized the mobile app to participate in surveys and provide data.

Consent form for patients:

The mobile app included a consent form that patients had to agree to before participating in the surveys. This ensured compliance with ethical and legal requirements for data collection.

Survey functionality at configurable timeframes:

The application allowed the configuration of survey timeframes. Patients received notifications and prompts to complete the surveys at the specified intervals. This ensured timely data collection.

Ingestion of patient information into a digital data registry:

The information entered by patients in the surveys was ingested into a digital data registry. This allowed for centralized storage and management of patient data for further analysis and research purposes.

Web application for admin authorization and activity download:

Admins had access to a web application that facilitated authorization and download of patient activity logs. This allowed admins to monitor and review patient engagement and survey responses.

Business Benefits: The implementation of the mobile app for patient engagement provided several benefits to the client, including:

Improved monitoring:

The app allowed for remote monitoring of patients during their quarantine period. Admins could track patient engagement, survey completion rates, and overall participation, enabling better monitoring of patients’ progress.

Streamlined data collection:

The mobile app streamlined the process of collecting patient data by providing a digital platform for surveys. This eliminated the need for manual paperwork and improved the efficiency of data collection.

Increased data accuracy:

By digitizing the data collection process, the app reduced the chances of errors or discrepancies that may occur with manual data entry. This increased the accuracy and reliability of the collected data.

Improved patient engagement:

The mobile app facilitated direct engagement with patients, even during their quarantine period. Patients could conveniently participate in surveys from their mobile devices, enhancing their involvement and cooperation in the research process.

Key Technologies: The mobile app for patient engagement was developed using the following key technologies:

Android and Kotlin:

- The mobile app was developed for the Android platform using the Kotlin programming language, ensuring a native and optimized user experience on Android devices.

AWS Lambda, SNS, EC2:

- Amazon Web Services (AWS) Lambda, Simple Notification Service (SNS), and Elastic Compute Cloud (EC2) were utilized for various backend functionalities and infrastructure requirements, such as data ingestion and notifications.

Java/Spring Boot:

- Java and the Spring Boot framework were employed for the development of the web application for admins. This provided a robust and scalable backend solution for authorization and data management.

Angular:

- Angular, a JavaScript framework, was used for the development of the web application’s frontend, providing a responsive and user-friendly interface for admins to access and review patient activity logs.

This case study demonstrates Spanidea’s successful development of a mobile application for patient engagement, enabling remote surveying and data collection for a clinical research organization. The app enhanced monitoring, streamlined data collection, improved data accuracy, and increased patient engagement, ultimately contributing to the success of the research efforts.