Nelli

Web application

Nelli is a certified web-based Class IIa medical device for seizure detection and characterization, enabling video and audio recordings of events, aiming to help doctors to provide faster diagnosis, treatment, and follow-up.

Role

Lead UX/UI designer

Responsibility

Ownership of UX

Case Study 1 – Interactive Report

Main feature of Nelli that provides information about the recording period, total number of seizure events, individualized classification types for each patient, and direct access to the videos of each event.

Challenge

Enable doctors to access directly classified seizure events, for faster and better diagnosis, balancing ease of use with data security.

Use cases

Show the distribution of events throughout the recording period.
Provide individualized classification types.
Show total number of events/ classification.
Offer direct access to each event for review.

Approach

Created two (2) personas for this feature to define pain points and goals.
Collaborated with end-users to iterate quickly and streamline the workflow.
Designed several options to choose the most suitable one.
Conducted multiple usability tests to ensure that the process addresses the user needs appropriately.
Added more features incrementally while keeping the main feature intact.
Performed risk analysis during each design phase.

Impact

I introduced 12 specific colors for 9 epileptic and 3 non-epileptic classifications for all patients. In usability tests, doctors found it easy to identify instantly the classification type regardless if they have prior knowledge of the patient's medical condition. Color-coding classifications is now part of the design library.
In long recording periods (more than a month), I offered progressive disclosure; only the current month is expanded and the rest remain collapsed. This helped reducing considerably the loading time of the page and promoting the correct information.
I improved the search of a recording period for a patient with multiple orders by offering a list of all orders directly from the patients list. With one click, the doctor can select the patient and access the desired recording period with minimum effort. This is also part of the design library.

Case Study 2 – Continuous Monitoring

Experimental feature providing continuous monitoring of patients in collaboration with the Filadelfia Epilepsy Hospital in Denmark.

Challenge

Design a hospital-specific feature for near real-time seizure monitoring with visual and audio feedback for high / medium priority events and patient falls, ensuring on-call nurses act swiftly while observing multiple patients at a time.

Use cases

Monitor multiple patients simultaneously.
Provide potential prioritized seizure events.
Ensure patient's safety.
Protect patient's privacy and data collection.
Detect when patient is not in the bed area.

Approach

Created one persona to define pain points and goals.
Collaborated with client to gather requirements.
Interviewed end users to create use cases, epic, and user stories.
Designed the Timeline layout prioritizing visibility based on event priority, privacy switch, and patient's out-of-the-bed feature.
Conducted usability testing and iterated based on feedback.
Offered three (3) different sound notifications for high / medium priority events and for when the patient is not on the bed area.
Performed risk analysis during each design phase.

Impact

The 3-tier color system (red/orange/blue) aligned to seizure priority helped on-call nurses to review immediately the video and react as soon as a need for intervention was needed, without missing a seizure. Each priority event has different color and size on the Timeline, which is in now part of the design library.
Different sound notifications for specific events enabled on-call nurses to access all seizure events without looking at the screen all the time but still have the patients' safety and care as a top priority.
Privacy switch ensures that there's no recording ongoing during patient's sensitive care, keeping patients' privacy a priority.

Nelli

Web application

Nelli is a certified web-based Class IIa medical device for seizure detection and characterization, enabling video and audio recordings of events, aiming to help doctors to provide faster diagnosis, treatment, and follow-up.

Role

Lead UX/UI designer

Responsibility

Ownership of UX

Case Study 1 – Interactive Report

Main feature of Nelli that provides information about the recording period, total number of seizure events, individualized classification types for each patient, and direct access to the videos of each event.

Challenge

Enable doctors to access directly classified seizure events, for faster and better diagnosis, balancing ease of use with data security.

Use cases

Show the distribution of events throughout the recording period.

Provide individualized classification types.

Show total number of events/ classification.

Offer direct access to each event for review.

Approach

Created two (2) personas for this feature to define pain points and goals.

Collaborated with end-users to iterate quickly and streamline the workflow.

Designed several options to choose the most suitable one.

Conducted multiple usability tests to ensure that the process addresses the user needs appropriately.

Added more features incrementally while keeping the main feature intact.

Impact

In long recording periods (more than a month), I offered progressive disclosure; only the current month is expanded and the rest remain collapsed. This helped reducing considerably the loading time of the page and promoting the correct information.

I improved the search of a recording period for a patient with multiple orders by offering a list of all orders directly from the patients list. With one click, the doctor can select the patient and access the desired recording period with minimum effort. This is also part of the design library.

Case Study 2 – Continuous Monitoring

Experimental feature providing continuous monitoring of patients in collaboration with the Filadelfia Epilepsy Hospital in Denmark.

Challenge

Design a hospital-specific feature for near real-time seizure monitoring with visual and audio feedback for high / medium priority events and patient falls, ensuring on-call nurses act swiftly while observing multiple patients at a time.

Use cases

Monitor multiple patients simultaneously.

Provide potential prioritized seizure events.

Ensure patient's safety.

Protect patient's privacy and data collection.

Detect when patient is not in the bed area.

Approach

Created one persona to define pain points and goals.

Collaborated with client to gather requirements.

Interviewed end users to create use cases, epic, and user stories.

Designed the Timeline layout prioritizing visibility based on event priority, privacy switch, and patient's out-of-the-bed feature.

Conducted usability testing and iterated based on feedback.

Impact

Different sound notifications for specific events enabled on-call nurses to access all seizure events without looking at the screen all the time but still have the patients' safety and care as a top priority.

Privacy switch ensures that there's no recording ongoing during patient's sensitive care, keeping patients' privacy a priority.