“Myrto” under Scientific Evaluation: Transparency, Evidence and Human Oversight in Social Navigation for Oncology Patients
The first closed scientific testing workshop of the Digital Health and Social Rights Navigator has been completed
Athens, 6 July 2026
The first closed scientific testing and evaluation workshop of “Myrto”, the Digital Health and Social Rights Navigator developed by the Cancer Patient Guidance Centre – Kapa3, was successfully completed.
The workshop was organised by the Cancer Patient Guidance Centre – Kapa3, with the support of René Descartes – Cnam College and the participation of SimasiaAI. It functioned as a dynamic scientific co-design workshop, bringing together specialised professionals from the fields of healthcare, social care, information technology and personal data protection.
The process was closed and strictly experimental in nature and did not constitute a public presentation of a completed product. Its purpose was to evaluate the behaviour of the application through hypothetical and fully anonymised scenarios, to record correct responses and areas requiring improvement, and to use expert feedback for the next phase of development.
The project “Myrto – Health and Social Rights Navigator” is being developed as a knowledge-based digital social navigation system, guided by the principles of explainable, transparent and human-centred Artificial Intelligence.
Its aim is to transform complex legal, administrative and social information into clear, evidence-based and practically useful guidance for oncology patients, caregivers and citizens.
“Myrto” does not replace professional social, legal, medical or clinical judgement. It operates as a supportive information and navigation tool, with clearly defined functional boundaries, human oversight and the possibility of referral to the competent services and professionals of Kapa3.
The programme is implemented with the support of the TIMA Charitable Foundation.
From Information to Understandable Knowledge
During the workshop, the need that led to the creation of “Myrto” was presented, along with the real barriers faced by patients and caregivers when seeking information on social rights, benefits and administrative procedures.
Particular emphasis was placed on addressing digital and informational exclusion. “Myrto” is designed to transform fragmented and often difficult-to-understand information into simple, structured and comprehensible guidance.
A Thematically Specialised and Curated Knowledge Base
The project’s technical partner, SimasiaAI, presented the operation of the application and the architecture used for information retrieval and synthesis.
“Myrto” uses a hybrid search mechanism that combines text retrieval and semantic search techniques, with the aim of identifying the information most relevant to the user’s question. The application operates on a thematically specialised and curated knowledge base.
A central element of its design is the traceability of information, namely the ability to link an answer to the source on which it is based. The use of validated sources reduces the risk of unsupported responses and enables the identification, review and correction of issues through a process of continuous maintenance, regular updating and adaptation to evolving guidelines and regulatory requirements.
Explainability and Human-Understandable Answers
The evaluation did not focus only on whether “Myrto” retrieves the correct information, but also on whether it can present that information in a clear, understandable and conceptually coherent way.
This approach strengthens trust, responsible use of the tool and the meaningful empowerment of citizens through a response-generation system that supports a transparent, evidence-based and human-supervised knowledge ecosystem, in which every piece of information is understandable, verifiable and connected to its source.
Data Protection and Compliance by Design
Personal data protection and regulatory compliance are embedded from the design stage of the application, in accordance with the principles of data protection by default and by design.
During the workshop, only hypothetical or fully anonymised cases were used. Particular emphasis was placed on the principles of data minimisation, anonymisation and secure processing. These principles are directly linked to contemporary requirements for the responsible development of Artificial Intelligence systems, the protection of special categories of data and compliance with the European regulatory framework.
Live Testing of Hypothetical Scenarios
The professionals who participated in the workshop tested the application individually and in small groups, using only hypothetical and fully anonymised cases. The testing was based on an approach that evaluated the behaviour of the system, examining not only whether the final answer was correct, but also whether the overall operation of the application was safe, understandable and appropriate for the specific request.
Disability Certification through KEPA
In one of the key scenarios, “Myrto” was asked to guide a hypothetical patient who did not know how to start the disability certification procedure through KEPA. The system retrieved the main steps of the process, organised the information in an understandable format and provided relevant references to the sources.
Participants evaluated:
- the accuracy of the information,
- the completeness of the steps,
- the clarity of the language,
- and the practical usefulness of the answer.
Travel from the Region for Treatment
In a second scenario, the case of an oncology patient who needed to travel from the region to another location for treatment was examined. The application identified relevant categories of socioeconomic support and benefits and presented possible next steps to the user.
The test allowed participants to assess:
- the correct identification of the request,
- the connection between different rights and benefits,
- the completeness of the sources,
- and the possibility of referral to the appropriate services.
At the same time, cases were also examined in which:
- the question was unclear or incomplete,
- the user did not know which right or benefit to look for,
- clarifying questions were required,
- medical or personalised legal advice was requested,
- or immediate human intervention was necessary.
A Continuous Cycle of Scientific Feedback
The meeting concluded with a discussion of the testing results, a review of the technical logs and the presentation of key usage statistics for the application.
The participants’ observations are not treated as isolated comments, but as structured scientific feedback for improvement. In this way, a closed cycle of learning and feedback is created, in which technology, scientific knowledge and the experience of professionals interact continuously.
The continuous involvement of experts and the integration of structured feedback are considered critical for strengthening transparency, reliability and trust in Artificial Intelligence systems used in sensitive fields.
The Interdisciplinary Project Team
The development, scientific documentation and regulatory compliance of “Myrto” are supported by an interdisciplinary team from the fields of health services administration, information technology, personal data protection, language technology and software development. The workshop was attended by:
Evangeli Bista, Co-founder of Kapa3 and Head of Strategic Partnerships; Aristea Archontidou, Industrial Informatics Engineer with postgraduate specialisation in Health Policy and Health Services Planning; Anastasia Vlachopoulou, lawyer and member of the Thessaloniki Bar Association, specialised in personal data protection; Dimitris Papadakis, Co-founder and Sales Manager at SimasiaAI and Project Manager of the “Myrto” project; and Giannis Barous, Co-founder and CTO of SimasiaAI, PhD candidate in Computer Science based in San Francisco, who has undertaken the technical component of the project: how the system identifies the right information, how it connects it with reliable sources and how it provides answers that are evidence-based, useful and safe.
About Kapa3
The Cancer Patient Guidance Centre – Kapa3 is a social support, information and navigation organisation for oncology patients, survivors, caregivers and their families. Its aim is to contribute to equal access to oncology care, social protection and the rights associated with the cancer experience.
Every day, Kapa3 supports people who face not only the disease itself, but also a range of practical, administrative, social and psychosocial challenges. Through personalised social guidance, the organisation helps patients and caregivers learn about their rights, understand available benefits and services, navigate administrative procedures and connect with appropriate support structures.
The main pillars of Kapa3’s work include information on social and insurance rights, support in accessing health and social care services, guidance on benefits and procedures, empowerment of patients and caregivers, and connection with professionals, organisations and communities.
As part of its digital strategy, Kapa3 develops digital empowerment and social navigation tools, such as “Myrto”, the Digital Health and Social Rights Navigator. “Myrto” is designed to transform complex legal, administrative and social information into clear and evidence-based guidance for oncology patients, caregivers and citizens, always with human oversight, transparency and respect for the limits of technology.
Kapa3’s philosophy is based on the principle that care is not limited to medical treatment. It includes access to information, social protection, psychosocial support, dignity, empowerment and the ability of every person to know and claim their rights.
Through collaborations with health and social care professionals, academic and research institutions, civil society organisations, public structures, volunteers and communities, Kapa3 seeks to build bridges between the patient, information, services and real access.
