Introduction

m.Doc Smart Clinic stands as a revolutionary innovation in hospital digitization, emphasizing patient-centricity while streamlining administrative workflows for healthcare personnel. With its seamless integration of communication channels, digital therapy planning capabilities, and advanced patient-reported outcome measures, m.Doc Smart Clinic heralds a transformative era in healthcare technology.

Challenge and scope

One patient profile across many hospitals

The central challenge addressed by mDoc was the creation of a unified patient profile accessible across multiple hospital environments. Deployed in over 70 hospitals throughout Central Europe, mDoc serves as a comprehensive platform for managing the entire spectrum of a patient's care journey. Leveraging HL7 protocol standards, mDoc seamlessly integrates with existing hospital data systems, facilitating the exchange of critical patient information. Beyond mere integration, mDoc consolidates a vast array of patient data, encompassing files, documents, therapies, appointments, and dietary plans, with the objective of establishing a centralized repository of patient information irrespective of hospital boundaries. The primary hurdle lies in harmonizing and synchronizing data across disparate clinic ecosystems.

Security

Given the sensitive nature of patient data, stringent security measures were imperative. mDoc's deployment on dedicated servers ensured isolated and controlled access environments. Access controls were meticulously configured and continuously monitored to safeguard patient confidentiality. Authentication and user management were fortified by utilizing Keycloak, guaranteeing stringent access control mechanisms to shield sensitive patient information from unauthorized access.

Approach, solution and outcome

Technical stack

At the core of mDoc's technical infrastructure lay a bifurcated backend architecture comprising Node.js for questionnaire handling and Java for the remainder of the application stack. This architectural decision was made to leverage the strengths of each technology stack, with Node.js offering lightweight, event-driven performance for real-time questionnaire processing. At the same time, Java provided robustness and scalability for the core application logic.

Leveraging SpringBoot and Postgres database, Java formed the backbone of mDoc's robust architecture. Maven facilitated seamless build automation, enabling efficient deployment and version management. However, the complexity arose in integrating and synchronizing data across multiple hospital environments, each with its unique data schema and requirements. This necessitated the development of intricate data mapping and transformation processes, ensuring seamless interoperability between mDoc and existing hospital systems.

A microservices architecture was adopted to modularize and decouple different system components, enhancing scalability and maintainability. RabbitMQ was employed for asynchronous inter-service communication, enabling fault-tolerant and resilient communication patterns. Despite the architectural benefits, managing the orchestration and deployment of numerous microservices posed a significant implementation challenge, requiring robust DevOps practices and automation tools.

Rigorous testing practices, encompassing comprehensive end-to-end and unit tests, were paramount to ensure the reliability and resilience of the system. However, testing against diverse hospital environments presented unique challenges, necessitating the development of sophisticated test environments and data-mocking strategies to simulate real-world scenarios accurately.

Integration processes were orchestrated as scheduled jobs, optimizing data synchronization workflows. However, ensuring data consistency and reliability across distributed systems demanded meticulous error handling and rollback mechanisms to mitigate potential data discrepancies and ensure data integrity.

The front-end, developed using Angular 10, alongside native mobile applications developed in Swift and Java, ensured a cohesive and intuitive user experience across diverse platforms. However, managing the complexity of cross-platform development and providing consistent user experience demanded a deep understanding of platform-specific nuances and best practices.

Approaching the Challenge

The approach to mDoc Smart Clinic was rooted in redefining the patient admission process, catalyzing digitization even before the patient's physical arrival at the hospital. By digitizing labor-intensive preadmission workflows, such as appointment scheduling, therapy planning, and documentation of patient needs, mDoc streamlines the admission journey. Patients can proactively address various requirements, including nutritional preferences and medication regimens, prior to their hospital stay, significantly enhancing operational efficiency and fostering satisfaction among patients and healthcare personnel alike.