The EAN Tool HCI Prototyping.

Role — UXR-HCI Specialist, Diagnostics Analyst

Year — 2019-2020 

The EAN Tool is an intelligent platform being developed for the EAN Project, a medical research study on the impact of digital materials in common patients’s recovery.

  • Goals — Achieve a patient-wide accessible, static blueprint, showing the attained UXR conclusions, and the main HCI affordances available through the tool’s panels. Convey how patients can benefit from epidiagnostic research. Transmit how easy conversation trackers, by keyword association protocols, can be adapted to a patient-wide friendly tool.
  • Challenges — Be very clear through the platform controls about what the tool provides for and requires from users. Accessibility constrains. Visualise patients’s feeds and meetings in an opener, non-demanding manner.
  • Learnings — Make the patient an informed user, while not interfering their experience in using and feeding a platform made for assessing their emotions. Be transparent about what Big Data tracking can achieve, while preserving security and privacy protocols. Make technology an interactive bridge among people.

Overview of the Project.

The EAN Tool will help patients to upload follow-ups of their health status, and hold conversations with other patients participating in the project. By the platform, patients will be able to communicate among themselves and with their personal physicians, contributing to the research on clinical experiences in community hospitals.

The EAN system conforms an ethnographic study on how well digital platforms serve patients in their needs of sharing their experiences with others, and in their process of understanding their feelings as patients by putting on words what they and their relatives, friends and healthcare professionals are undertaking.

The team is composed by physicians, UX researchers and ergonomists in collaboration with The Kalavik Commons. This project is currently under development (beta goal for 2022).

Some Features — The EAN Tool Welcome Hall

The EAN Tool for desktop prepares patients to manage their contributions in a very straightforward style. Screens, uncomplicated and informative, give space for users to introduce their follow-ups, chat along with other people participating in the EAN Project, and get acquainted with healthcare news delivered by the team.

Weekly Voicelog

Patients can access to their weekly voicelog, a personal archive of audios where they can intimately express how they feel once per week as though they were writing in a diary. They can listen to previous uploads and create new ones in a freshly organised panel.

Conversations Scheduler

Conversations with other participants are scheduled freely by each individual, accessing a global net filtered by language and hospital collaborating with the EAN Project research team. Patients can select and offer appointment hours to chat, send messages or cancel conversations.

Conversations Archive

Video conversations are the main interactive event in the project provided by the platform. Very intuitive and smooth controls are designed to focus the user attention on their conversation partner, simplified to have a modest moment for a talk, share intimate emotions and life experiences. 

This way, the EAN Tool also serves as an interactive, bilateral collection of emotions, an affective archive that supports therapeutical recovery and gives continuous opportunities for the patients to grow on personal emotional identifications and interpersonal communication strategies.

Further Details

EAN stands for a new type of strategy in experience-based diagnostic assessment: it materialises an intelligent platform acting as an Epidiagnostic Adaptive Nosographer, a software that works adapting the symptomatology of the patient, using the platform, to the possible pathologies present in our contemporary clinical knowledge.

Nosographies constitute the current texts, documents and reference material used for organising and classifying diseases. These patterns of general understanding on what and how humans are able to be diagnosed by physicians can be adapted epidemiologically, culturally, personally via new instruments implementing Artificial Intelligence in the assessment of experiences, text and qualitative analysis, and multifactorial interactive evaluators.

The EAN System, Experiments and Tool derived from the new lines of development presented by the PhD dissertation on neuropsychiatric assessment of experiences, defended and approved in 2019 at the ECyT National Institute at the University of Salamanca, entitled ‘Pain Assessment in 21st-Century Neuropsychiatry. Introducing Plural, Perspective, Situated Epistemic Frames for the Epidiagnostic Characterisation of Pain Experiences’.