Concept for Navigation, Data handling and User Control.

AI Quick Summary

Simple Low fidelity Wireframe Concept on how the issue could be solved. The concept illustrates how clinicians could navigate, explore, and manage the large and sometimes conflicting data collected within Screen4Care. The focus lies on structure, navigation, and user control; not on appearance or visual refinement. My goal was to outline a possible interaction model rather than a finalized GUI. To validate early assumptions about workflow and usability, I gathered feedback from healthcare professionals (1 Pharma assistent, 2 Nurses who worked in hospitals); the current version reflects one iteration based on their consulted input. More Details and thoughts are written in the longer Description. Colors are used only to emphasize interaction areas and data relationships. Further reasoning, user assumptions, and design considerations are documented in the accompanying PDF. The proposed concept focuses on user flows — understanding how clinicians navigate through the system, what information they encounter along the way, and to find out which cognitive elements they can retain while using the tool. The design work was not aimed at creating a visual interface but at communicating a possible interaction concept. The intent is to illustrate how the challenge could be addressed, not to present a finalized GUI. In my interpretation, the main challenge for Screen4Care lies in helping users handle the vast amount of data the platform collects. Clinicians need ways to explore, compare, and interpret potentially conflicting data without being overwhelmed. Based on the project briefing, I identified a dual need: clear representation of data and intuitive navigation through it. My approach combines these aspects into a single workflow concept that allows clinicians to explore, compare, and refine datasets. Underlying Assumptions A) Clinicians either know their patients well or are deeply familiar with their hospital’s data and thus seek to compare similar fields. B) Clinicians are aware of other institutions with early or efficient detection of certain diseases and may want to identify similar or dissimilar clinics within the system. C) The work clinicians invest in the system should be retrievable, reproducible, and adaptable for variation or iteration. D) Screen4Care will gradually adapt to data differences and discoveries over time. E) The specific information needs of clinicians are not fully known, implying a feedback mechanism to indicate what the system does well and where it falls short. F) Patient data will likely be broad and inconsistent, including duplicates, outdated entries, and unclean data. G) The desired depth of data exploration remains uncertain; my assumption is that an overview level is sufficient for most users. H) Clinicians will want to share their findings with colleagues outside the tool, requiring reliable data export and transfer functionality. I) Artificial intelligence will need continuous input for training (LLM or SLM). This has been considered in the design thinking process. J) Detailed data comparison might not occur within Screen4Care itself, as clinicians may prefer external statistical tools such as Python. Hence, the design should avoid unnecessary confinement within the system. The overall goal of the proposal is to structure the clinician’s journey through data exploration — to reduce cognitive load, support meaningful comparison, and enable a system that can evolve with user interaction and data maturity.

Project Idea Metadata

• Project Idea Name: Concept for Navigation, Data handling and User Control.
• Date: 11/6/2025 3:39:08 PM
• Administrators:

Project Idea Description

The proposed concept focuses on user flows — understanding how clinicians navigate through the system, what information they encounter along the way, and to find out which cognitive elements they can retain while using the tool.

The design work was not aimed at creating a visual interface but at communicating a possible interaction concept. The intent is to illustrate how the challenge could be addressed, not to present a finalized GUI.

In my interpretation, the main challenge for Screen4Care lies in helping users handle the vast amount of data the platform collects. Clinicians need ways to explore, compare, and interpret potentially conflicting data without being overwhelmed.

Based on the project briefing, I identified a dual need: clear representation of data and intuitive navigation through it. My approach combines these aspects into a single workflow concept that allows clinicians to explore, compare, and refine datasets.

Underlying Assumptions

• A) Clinicians either know their patients well or are deeply familiar with their hospital’s data and thus seek to compare similar fields.

• B) Clinicians are aware of other institutions with early or efficient detection of certain diseases and may want to identify similar or dissimilar clinics within the system.

• C) The work clinicians invest in the system should be retrievable, reproducible, and adaptable for variation or iteration.

• D) Screen4Care will gradually adapt to data differences and discoveries over time.

• E) The specific information needs of clinicians are not fully known, implying a feedback mechanism to indicate what the system does well and where it falls short.

• F) Patient data will likely be broad and inconsistent, including duplicates, outdated entries, and unclean data.

• G) The desired depth of data exploration remains uncertain; my assumption is that an overview level is sufficient for most users.

• H) Clinicians will want to share their findings with colleagues outside the tool, requiring reliable data export and transfer functionality.

• I) Artificial intelligence will need continuous input for training (LLM or SLM). This has been considered in the design thinking process.

• J) Detailed data comparison might not occur within Screen4Care itself, as clinicians may prefer external statistical tools such as Python. Hence, the design should avoid unnecessary confinement within the system.

The overall goal of the proposal is to structure the clinician’s journey through data exploration — to reduce cognitive load, support meaningful comparison, and enable a system that can evolve with user interaction and data maturity.

Simple Low fidelity Wireframe Concept on how the issue could be solved.

The concept illustrates how clinicians could navigate, explore, and manage the large and sometimes conflicting data collected within Screen4Care. The focus lies on structure, navigation, and user control; not on appearance or visual refinement.

My goal was to outline a possible interaction model rather than a finalized GUI. To validate early assumptions about workflow and usability, I gathered feedback from healthcare professionals (1 Pharma assistent, 2 Nurses who worked in hospitals); the current version reflects one iteration based on their consulted input. 

More Details and thoughts are written in the longer Description.

Colors are used only to emphasize interaction areas and data relationships. Further reasoning, user assumptions, and design considerations are documented in the accompanying PDF.