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RehaScan is a secure web application developed to optimize therapy processes in clinics that treat patients with severe addictions such as alcohol, gambling, drugs, and psychosomatic disorders. Given the sensitivity of the data, ensuring secure storage and compliance with data protection regulations was a top priority. The app offers robust mechanisms to protect patient data and at the same time enables efficient management of treatment processes.
RehaScan enables patients to complete incoming and outgoing questionnaires that assess their condition and generates the necessary documentation needed at the start and end of treatment. This automation reduces the administrative workload of therapists and gives them more time to focus on patient care.
Patients have a user-friendly dashboard that guides them through completing questionnaires in the right order and at the right time. At the same time, clinics have an administrative dashboard that provides an overview of patients' progress. The clinical user interface includes an overview of all patients, grouped by treatment phase and type of disease, as well as tools to remind patients and manage user accounts. In addition, a super admin dashboard was implemented to manage clinics and keep track of a complete log of all system actions, such as logins, cancellations, and creating or editing clinics, users, or patients. Originally developed in FlutterFlow, application performance issues led the customer to ask us to rebuild the app with Flutter to provide a scalable and efficient solution.
Our work began with a series of meetings to understand the customer's needs and the specific challenges of managing sensitive patient data while ensuring compliance with strict data protection laws. We reviewed the existing FlutterFlow implementation and worked closely with the customer to clean and optimize the app's design to improve usability and performance.
By applying an Agile Scrum methodology, we worked in iterative sprints to redevelop the app in Flutter, with a focus on creating a clean and scalable architecture. This included restructuring the app to ensure optimal performance, reduce page load times, and improve navigation flows. We implemented robust backend systems to securely manage patient and clinic data, ran regular testing cycles, and ensured features such as automatic logout for inactive users, two-factor authentication (2FA) with authenticator apps (such as Google Authenticator), and a one-device-to-one-time login policy to improve security.
To meet the project's needs, we used a modern tech stack that is optimized for scalability, performance, and security:
The result is a robust, user-oriented application that improves therapy processes while maintaining the highest standards of data protection and ease of use.
RehaScan sets the highest standards when it comes to handling sensitive patient data. Thanks to strict data protection measures, such as two-factor authentication (2FA) and automatic logout when inactive, the app meets all data security and confidentiality requirements.
The automation of documentation processes significantly reduces the administrative workload of therapists. By creating necessary documents based on questionnaires, therapists can focus more on patient care.
An intuitive dashboard guides patients through their tasks and provides a clear structure. At the same time, clinic administrators benefit from a clear user interface that makes the administration of patients and clinics efficient.
The app is based on a modern clean architecture with technologies such as Flutter, Node.js, and MongoDB. This structure ensures long-term scalability and enables future expansions without sacrificing performance.
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