Infrastructure for art-based health

Science-Based Well-Being Through Creative Arts

ArtHelios connects you with arts-based therapy, tracks your creative wellness journey, and provides evidence-based resources for a healthier mind and body.

Behind the experience is a coordination, measurement, and quality system that makes art-based health activities reliable, comparable, and improvable — at scale.

Representing a health system, institution, or organisation? Engage as a pilot partner

The problem

Art improves health. But there is no system to deliver it reliably.

The evidence is clear: art-based activities measurably improve health outcomes across populations. Studies confirm this. The WHO recognises it. National health systems are beginning to act on it.

Yet there is no shared infrastructure. Referrals happen informally. Activities are unstructured. Outcomes are not tracked. Facilitators operate without standardised profiles. Health professionals have no reliable way to prescribe, coordinate, or evaluate art-based interventions.

This is not a content problem or a marketplace problem. It is a systems problem. ArtHelios is the missing system.

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Connecting People to Well-Being

ArtHelios is built around three core capabilities that work together to make art-based health delivery structured, measurable, and continuously improving.

Connect

Identity, roles, visibility, coordination

Inputs: Participant profiles, facilitator credentials, institutional affiliations, health professional referrals.

System: Structured identity layer with verified roles, visibility controls, and coordination tools. Participants choose activities or are referred by health professionals based on needs, accessibility, and availability.

Outputs: Verified participant-facilitator connections, auditable referral chains, coordinated scheduling across institutions.

Track

Health assessment, longitudinal data, outcomes

Inputs: Validated health assessments, session attendance, participant self-reports, facilitator observations.

System: Longitudinal tracking engine that captures health data before and after activities, and with a proper follow-up. Normalises data across instruments and contexts for comparability.

Outputs: Individual outcome trajectories, activity-level effectiveness data, population-level health impact reports.

Educate

Structured knowledge, standards, learning loops

Inputs: Activity outcomes data, facilitator practice records, emerging research, quality audit results.

System: Learning infrastructure that converts operational data into actionable knowledge. Maintains standards library, competency frameworks, and continuous improvement protocols.

Outputs: Updated quality standards, facilitator development pathways, evidence-based activity design guidance.

Reliability is not a feature. It is the architecture.

Health-grade environments demand structural reliability — not promises. ArtHelios encodes trust, quality, and accountability directly into how the product works.

Profile structures & verification

Every actor in the system — participant, facilitator, institution — has a structured profile with verified credentials, defined roles, and auditable history. No unverified entities enter the system.

Activity schemas & quality criteria

Activities are not free-form entries. Each follows a structured schema: objectives, methods, duration, target population, facilitator qualifications, and expected outcomes. Quality criteria are enforced, not optional.

Data integrity & comparability

Health data is normalised across instruments and contexts. Outcome measurements are standardised so results from different activities, facilitators, and regions can be meaningfully compared.

Governance & ethical safeguards

Consent management, data access controls, and ethical review protocols are built into the product layer. GDPR-compliant by design, with role-based permissions and full audit trails.

Three entities. One system of record.

ArtHelios organises the art-based health field around three core roles and the relationships between them. Data flows through the system to create accountability, comparability, and learning at every level.

Participant

An individual referred to or seeking art-based health activities. Holds a health profile, preferences, accessibility needs, and longitudinal outcome data — with guided support throughout the journey.

Art Facilitator

A verified art professional who delivers activities. Holds credentials, practice history, quality ratings, and institutional affiliations — and can demonstrate the impact of their work.

Health Professional

A clinician or social prescriber who refers participants to art-based activities, tracks outcomes, and integrates art into health pathways across linked organisations.

How data flows through the system

0

Referral
Health professional creates a structured referral linked to the participant's profile and health needs.

1

Connect
Participant chooses an activity or is referred by a health professional to verified facilitators and schema-compliant activities.

2

Delivery & tracking
Activity is delivered. Attendance, assessments, and observations are captured in real time.

3

Evidence & learning
Outcomes feed back into standards, facilitator development, and activity design improvement.

Want to pilot this in your organisation? Engage as a pilot partner →

Use becomes evidence. Evidence improves the system.

From use to evidence

Every activity delivered through ArtHelios generates structured outcome data. Over time, this creates a growing evidence base — not through separate research projects, but as a natural by-product of the system operating. The more the product is used, the stronger the evidence becomes.

Continuous activity improvement

Outcome data feeds back into activity design. Facilitators see what works across populations. Institutions see which activities deliver results. Activities that underperform are flagged. Those that consistently produce outcomes are reinforced. The system learns.

Research-ready, not a research tool

ArtHelios is not a research platform. It is an operational system that produces research-grade data. Anonymised, structured, and longitudinal datasets can support academic research, policy evaluation, and funding cases — without requiring the system to become something it is not.