IIMSA: Simplified and intelligent workflow for health professionals
IIMSA
project type
Concept
ROLE
Group project
EXPERTISE
UX/UI Design
YEAR
2024
Project description
IIMSA stands for Integrated Intelligent Mobile Health Assistant. The project focused on designing a digital solution to optimize communication and workflow for healthcare professionals at Rigshospitalet, Denmark’s largest hospital. The solution aimed to replace outdated technology with a smart, AI-driven mobile platform that integrates task management, real-time data sharing, and cross-departmental collaboration. By leveraging AI, IoT, and GNSS tracking, the platform was designed to reduce administrative burdens, minimize errors, and improve patient care, thus addressing critical challenges like staff shortages and inefficient workflows.
Background
Rigshospitalet faced significant operational challenges due to outdated DECT communication devices, which only supported voice calls and lacked integration with modern digital workflows. With the new Mary Elizabeths Hospital not supporting DECT, there was an urgent need for a future-proof mobile solution. Research revealed that healthcare staff, especially nurses, struggled with time-consuming documentation, fragmented communication, and manual data entry, leading to inefficiencies and increased risk of errors. The project was developed in collaboration with Rigshospitalet’s digitalization team, using user-centered design methodologies (e.g., Double Diamond, empathy mapping) to create a scalable, nurse-focused mobile tool that aligns with the hospital’s vision for digital transformation.
Process
The project followed a user-centred design process based on the Double Diamond methodology, combined with the Design Sprints process.
Discovery Phase
The team began by conducting extensive research, including desk research on digital health trends and field research through interviews with nurses and hospital staff. This phase identified key pain points: time-consuming manual documentation, fragmented communication between departments, and the need for better task prioritisation. Empathy maps and personas were created to synthesise insights and define user needs.
Define Phase
Using the Double Diamond methodology, the team framed the core problem: "How might we integrate and optimise communication and workflows for healthcare professionals using mobile devices?" The research highlighted the potential of AI-driven task management, IoT for equipment tracking, and seamless data sharing across hospital systems.
Develop Phase
Prototypes were developed using GV Design Sprint, focusing on a mobile interface that consolidates task lists, enables real-time updates, and supports voice dictation for documentation. The solution was iterated based on feedback from nurses and digital health experts, ensuring usability and alignment with hospital workflows.
Deliver Phase
The final concept was a validated prototype of a mobile application designed to reduce administrative overhead, improve task visibility, and facilitate cross-departmental collaboration.
Solution
The result is a mobile platform that empowers healthcare staff with intelligent task management, real-time collaboration, and AI-driven efficiency, all tailored to the demands of modern hospital environments.
Unified Task Management: A centralised dashboard for nurses to view, prioritise, and update tasks in real time, reducing reliance on manual lists and paper-based systems.
AI-Powered Prioritisation: Machine learning algorithms to dynamically prioritise tasks based on urgency, patient needs, and staff workload, minimising delays in critical care.
AI Assistant: Trained to help users quickly locate official professional documentation, track medical equipment, and monitor patient statuses, reducing cognitive load and improving response times.
Voice Dictation: Hands-free documentation using voice-to-text, enabling nurses to update patient records efficiently, even in high-pressure environments.
Cross-Departmental Communication: Integrated messaging and alert systems to streamline collaboration between nurses, doctors, and support staff, replacing fragmented DECT communication.
IoT and GNSS Integration: Real-time tracking of medical equipment and patient locations using IoT sensors and GNSS, reducing time spent searching for resources.
Interoperability: Seamless data sharing with existing hospital systems (e.g., electronic health records) to ensure continuity of care and reduce duplicate data entry.
User-Centric Design: Intuitive interface tailored to nurses’ workflows, with customisable views and quick-access features for common tasks.
