Κapa3 at IEEE CBMS 2026 | AI for Equitable Oncology Information

Kapa3 at IEEE CBMS 2026: Artificial Intelligence in Support of Equitable Patient Information in Oncology Care

New scientific publication in the Proceedings of the 39th IEEE International Symposium on Computer-Based Medical Systems

The voice and lived experience of patients must remain at the centre of the emerging era of Artificial Intelligence in healthcare.

Kapa3 – Cancer Guidance Centre contributes to a new scientific publication presented in the Proceedings of the 2026 IEEE 39th International Symposium on Computer-Based Medical Systems (CBMS), focusing on how Artificial Intelligence and Retrieval-Augmented Generation can support more equitable, reliable and patient-centred access to information in oncology.

The paper, entitled:

“Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology”

is authored by Lars Münter, Evangeli Bista, Maria Lavdaniti and Christos Frantzidis, with Evangeli Bista representing Kapa3 as Co-founder.

From access to information to meaningful patient empowerment

A cancer diagnosis creates an immediate need for information that is reliable, understandable and relevant to the individual patient.

At the same time, patients and their families are often expected to understand complex medical terminology, treatment options, prognosis discussions and administrative procedures at a moment of intense psychological and emotional pressure.

The paper highlights that acute stress associated with a serious diagnosis can affect working memory, attention and the ability to process new information. This means that patient information cannot be designed for an ideal, fully attentive reader; it must respond to the real cognitive and emotional conditions experienced by people facing cancer.

The key question is therefore not simply:

“How much information do we provide?”

but rather:

“Are we providing the right information, at the right time, in a form that people can understand and act upon?”

AI and Retrieval-Augmented Generation: towards trustworthy and evidence-grounded information

The publication places particular emphasis on Retrieval-Augmented Generation (RAG).

RAG architectures combine the generative capabilities of large language models with the retrieval of information from curated and verified knowledge sources. In a healthcare setting, this can include clinical guidelines, validated patient information resources, regulatory documents and peer-reviewed literature.

This approach offers an important advantage over purely generative AI systems: responses can be grounded in identifiable sources, supporting greater transparency and enabling patients and healthcare professionals to verify where information comes from.

In oncology, this is especially important.

A patient does not simply need a quick answer. They need information that is:

accurate, current, understandable, accessible and appropriate to their individual situation.

Artificial Intelligence as a tool for equity

One of the central themes of the paper is inequality in access to high-quality oncology information.

Geography, language, socioeconomic circumstances, health literacy, digital literacy and access to specialised healthcare services can significantly influence a person’s ability to understand their diagnosis, treatment options and rights.

The publication pays particular attention to the Greek context, where patients living in large urban centres may experience a very different information environment from those living in rural, remote or island communities.

When equity is treated as a core design principle, AI-RAG systems can potentially support:

multilingual access to health information,
different levels of language and information complexity,
voice-based interfaces,
shorter and more manageable units of information,
low-bandwidth or offline-capable solutions,
and opportunities for patients to return to information when they are ready to process it.

Technology alone, however, does not create equity.

The way technology is designed determines whether it reduces existing inequalities or reproduces them.

Designed with patients, for patient needs

The paper calls for an important shift in the way digital health systems are developed.

Many traditional health information systems are designed primarily around institutional or clinical workflows, with patient-facing communication added later.

For patient-centred AI, this logic must be reversed.

Systems should be designed with patients and around patient needs, with patients and informal carers actively involved in shaping the knowledge base, the questions the system is expected to answer and the ways information is presented.

This also means moving beyond systems that simply respond to individual questions.

A meaningful AI-supported information environment could help patients prepare for clinical consultations, organise their questions, understand the next steps in their care and become more aware of their rights.

The paper highlights applications such as consultation preparation guides, question prompts before appointments and post-consultation summaries as examples of how technology can support patients before, during and after important healthcare interactions.

AI should strengthen, not replace, human relationships

Perhaps the most important message of the publication is that the transformative potential of AI in oncology is not primarily technical. It is relational.

Artificial Intelligence should not create distance between patients and healthcare professionals.

It should help strengthen their communication.

A better-informed patient can arrive at a clinical consultation more prepared, identify questions and concerns more clearly, participate more actively in shared decision-making and communicate more effectively with the healthcare team.

The same applies to informal carers, who often carry a significant part of the informational and emotional burden of cancer care.

For this reason, the paper argues that AI-RAG systems should be designed to strengthen the relationship between patients, carers and healthcare professionals, rather than to replace any part of this human network of care.

For healthcare professionals, trustworthy information systems may also reduce the time required for basic information provision, allowing more of the clinical encounter to focus on nuanced discussions, decision-making and the human aspects of care that technology cannot replicate.

From information to trust

This scientific contribution adds to an increasingly important discussion about the future of healthcare:

How can Artificial Intelligence be developed and used in ways that genuinely respond to human needs?

The answer does not lie only in more powerful AI models or larger volumes of data.

It also lies in evidence, transparency, accessibility, co-design, equity and respect for patient rights.

As the paper concludes, people affected by cancer in Greece and across Europe deserve access to information that is accurate, personalised, accessible and respectful of their rights, regardless of where they live, the language they speak or the socioeconomic resources available to them.

For Kapa3, participating in this scientific discussion also reflects a broader commitment: ensuring that real patient needs, lived experience and equitable access are represented in the design and evaluation of the next generation of digital health and AI-supported tools.

Publication details

Title: Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology

Authors: Lars Münter, Evangeli Bista, Maria Lavdaniti, Christos Frantzidis

Published in: 2026 IEEE 39th International Symposium on Computer-Based Medical Systems (CBMS)

DOI: 10.1109/CBMS69103.2026.00302

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Evangeli Bista Joins the PATH Expert Group as an Independent Expert: Bringing the Patient Perspective into the New Era of AI in Cancer Care

A new contribution to the European dialogue on safe, responsible and human-centred Artificial Intelligence in healthcare

Evangeli Bista, Co-founder and Head of Operations and Development of Kapa3 – Cancer Guidance Centre, has been invited to join the Expert Group of the European research and innovation project PATH – Patient AI Treatment Hub as an independent expert.

Her participation is undertaken in a personal and independent capacity, with her professional affiliation to Kapa3 – Cancer Guidance Centre, creating an opportunity to bring into the European dialogue experience gained through direct engagement with people affected by cancer, survivors, caregivers and healthcare professionals. The PATH Terms explicitly define Expert Group members as acting independently rather than as partners, employees, agents or subcontractors of the Consortium.

What is PATH – Patient AI Treatment Hub?

PATH – Patient AI Treatment Hub is a European research and innovation project focused on supporting the safe and effective integration of Artificial Intelligence into cancer care through the development of a secure, interoperable and privacy-preserving digital platform.

The project aims to explore how Artificial Intelligence tools can be safely integrated into cancer-care pathways, supporting healthcare professionals and contributing to more personalised approaches while safeguarding privacy and health data.

At the heart of this effort lies a critical question:

How can technological innovation create meaningful value for patients while preserving trust, human oversight, safety and equity?

Participation in the PATH Expert Group

As a member of the PATH Expert Group, Evangeli Bista will contribute independent expertise, opinions, input, comments and feedback in relation to selected project use cases and activities.

The experience developed through Kapa3’s work can contribute to discussions around issues such as:

patient-centred cancer care,
patient navigation across health and social-care systems,
equitable access to information and services,
health and digital literacy,
health and social rights,
responsible use and protection of health data,
transparency and human oversight in Artificial Intelligence systems,
meaningful involvement of patients and civil society in technology design,
and translating technological innovation into real value for people.

Why the Patient Voice Must Be Part of Innovation

Artificial Intelligence is creating new possibilities for healthcare and cancer care. At the same time, its growing use raises important questions concerning trust, transparency, safety, equitable access and human oversight.

For Kapa3, the development of a digital solution cannot begin solely with the question of what is technologically possible.

It must also ask:

What does the patient actually need?

Can people understand the information they receive?

Do they know where that information comes from?

Can they trust the system?

Is it clear when Artificial Intelligence is being used and when human professional judgement is required?

Could digital inequalities lead to new inequalities in healthcare?

And ultimately, does innovation genuinely improve the experience and pathway of a person facing cancer?

These are questions that we believe should remain at the centre of the European discussion on Artificial Intelligence in healthcare.

Kapa3’s experience in digital health

Evangeli Bista’s participation in the PATH Expert Group comes at a time when Kapa3 is systematically expanding its work in digital health, patient navigation and the responsible use of emerging technologies to support people affected by cancer.

This broader work also includes MYRTO – Digital Navigator for Health and Social Rights, an independent Kapa3 initiative developed to help transform complex and often fragmented information on rights, benefits and administrative procedures into more accessible, structured and evidence-based guidance for patients and caregivers.

MYRTO is not part of PATH, and the two initiatives are independent from one another.

However, the experience of developing patient-facing digital services has reinforced several principles that Kapa3 considers essential:

reliable information, transparent sources, understandable communication, data protection, human oversight and a clear pathway to professional support when technology alone is not enough.

This distinction is also important from an intellectual-property perspective, since the PATH Terms preserve intellectual property that exists independently of the Expert’s Services and is not incorporated into PATH Contributions.

From information to trust

Digital transformation in healthcare is not simply about more data, more algorithms or more applications.

It is about creating greater understanding, better access and stronger trust.

For a person facing cancer, information has value when it can be translated into a meaningful next step.

Technology has value when it reduces — rather than increases — complexity.

And Artificial Intelligence has value when it strengthens, rather than replaces, human care, professional judgement and the patient’s ability to participate meaningfully in decisions affecting their life and health.

A new opportunity to contribute to the European dialogue

For Kapa3, the invitation to Evangeli Bista to participate as an independent expert in the PATH Expert Group represents an important opportunity to bring into the European dialogue experience, needs and concerns emerging from the real-world context of cancer care and patient support.

The objective remains clear:

Artificial Intelligence in healthcare should advance with safety, transparency, responsibility, equitable access and meaningful involvement of the people it is designed to serve.

Because innovation creates real value when it is designed with people and for people.

PATH – Patient AI Treatment Hub | At a glance

Field: Artificial Intelligence and data in cancer care
Project: PATH – Patient AI Treatment Hub
Focus: Safe and effective integration of AI into cancer care through secure, interoperable and privacy-preserving approaches.
Expert Group: Independent external experts providing expertise, opinions, input, comments and feedback to the Project.
Independent Expert: Evangeli Bista
Professional role: Co-founder & Head of Operations and Development
Affiliation: Kapa3 – Cancer Guidance Centre

Language in cancer care: why words are never neutral

Language used in cancer care is never neutral. The words chosen to describe a diagnosis can significantly shape how a person experiences illness, especially during a highly vulnerable period of life. Depending on how they are used, words may either reinforce fear and stigma or support dignity, psychological safety, and empowerment.

This perspective is highlighted in a recent interview with Evangeli Bista, co-founder of the Cancer Guidance Center (Kapa3), published on iatronet.gr, where she discusses the findings of a study exploring how patients themselves perceive the language used around cancer.

The study, conducted by Kapa3, examined how people living with cancer experience terms such as “cancer patient,” “oncology patient,” or simply “patient,” and how these labels influence their emotional response and sense of identity.

Findings suggest that many patients feel that labels directly linking them to their disease can increase emotional burden and reinforce the idea that cancer defines their entire identity. In contrast, more neutral or person-first expressions (“person with cancer”) appear to offer greater psychological comfort, allowing individuals to maintain a sense of self beyond the diagnosis.

The qualitative analysis also highlights the crucial role of healthcare professionals. Clear, honest, and compassionate communication—without exaggeration or dramatic framing—is consistently described by patients as a key element of trust and emotional support. Communication, in this sense, is not simply a soft skill but an essential part of clinical care.

The study further reinforces the importance of a person-first approach, where the individual comes before the illness. At the same time, participants expressed resistance both to stigma and to excessive heroisation, calling instead for balanced, respectful, and realistic communication.

Ultimately, language in oncology is not just descriptive—it actively shapes the patient experience and becomes part of the care process itself.

Read the full interview with Evangeli Bista on iatronet.gr:
https://www.iatronet.gr/article/139695/karkinopathhs-ogkologikos-asthenhs-h-apla-asthenhs-o-antiktypos-ton-lexeon-ston-karkino

Read the related scientific publication by the Cancer Guidance Center (Kapa3):
https://www.kapa3.gr/nea-epistimoniki-dimosieysi-gia-to-kapa3/

Text/Adaptation: Ifiyenia Anastasiou for Kapa3