Duneolas vs MedProAI: Next-Gen GP Software Comparison 2026

How to Choose Between Duneolas and MedProAI: Key Differences Explained

Choosing between Duneolas and MedProAI comes down to one core question: do you need a beautifully designed, modern clinical record system, or do you need AI-powered documentation and practice automation built specifically for Irish private healthcare? Both are cloud-native challengers to legacy Irish software — similar to how physiotherapy software Ireland providers are also moving beyond traditional platforms — but they are built for different priorities and practice profiles.

The Irish GP software market is in genuine flux. As practices evaluate EHR systems Ireland options, those that spent years on Socrates AI vs MedProAI alternatives, HealthOne, or Helix are now evaluating a new generation of platforms — and two names that come up repeatedly in 2026 are Duneolas and MedProAI. Neither is a legacy product dressed up with a new interface. Both were built from scratch with modern architecture. That said, they are not equivalent products competing for the same buyer.

Duneolas is a cloud-native clinical software platform designed by founders with Apple product design heritage. Its emphasis is on a clean, structured clinical record — consultation notes, patient timelines, referral workflows. It is attracting attention from GPs who find existing Irish software visually cluttered and architecturally dated. At time of writing, Duneolas is not yet GPIT accredited, which has practical implications for GMS-linked practices (more on this in the pricing section).

MedProAI positions itself differently — as an AI-first practice management layer, with its AI agent Brigid handling clinical documentation, appointment scheduling, patient communications, and insurance claim workflows. Its differentiator is ambient AI documentation: Brigid transcribes, structures, and codes consultations in real time, cutting note-taking time significantly. It is hosted on AWS Dublin and built to GDPR and HIQA standards.

Here is a direct comparison of the two platforms across the dimensions that matter most to a busy Irish practice:

Criterion	Duneolas	MedProAI
Architecture	Cloud-native	Cloud-native (AWS Dublin)
GPIT Accreditation	Not yet accredited (2026)	Not applicable (private practice focus)
AI Documentation	Not a stated core feature	Core differentiator (Brigid AI agent)
Target User	GPs seeking modern clinical records	Private GPs, consultants, dentists, physios
Insurance Claim Workflows	Not confirmed at launch	VHI, Laya, Irish Life integration
Data Hosting	Cloud (hosting region TBC)	AWS Dublin (EU only)
Setup Time	Varies by practice size	48 hours confirmed
Free Trial	Contact for demo	7-day free trial, no card required

The honest answer: if you run a GMS panel and GMS billing is mission-critical, Duneolas's current lack of GPIT accreditation is a meaningful constraint. If you run a private-only or mixed private practice and your biggest pain is documentation time and insurance admin, MedProAI is built more directly for that problem. For a deeper look at what GPIT accreditation actually requires for Irish practices, the GPIT accredited GP software guide for Irish practices covers the requirements in full.

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Implementation Timeline: Getting Your Practice Live in 2026

Most Irish practices can go live on a new cloud-native GP platform within two to six weeks, depending on data migration complexity, staff size, and whether HealthLink integration is required. For a single-GP private clinic with a clean patient database, a 48–72 hour technical setup is realistic. For a multi-doctor practice migrating from a legacy system with years of structured records, four to six weeks is more honest.

Below is a phase-by-phase implementation timeline you can use for either platform. Adjust durations based on your practice size.

Phase 1: Pre-Migration Audit (Week 1) — estimated 3–5 hours practice time

1. Export and review your current patient list. Identify any duplicate records, inactive patients, and data quality issues before you migrate — not after.
2. Document your current workflows: how consultations are booked, how notes are structured, how insurance claims are submitted. You cannot improve a workflow you have not mapped.
3. Confirm your HealthLink integration requirements. HealthLink is the HSE's secure messaging infrastructure for referrals and results; check HSE HealthLink documentation to confirm your current connectivity status.
4. Identify your critical date: the first date you cannot be without a functioning system. Work backwards from there.

Common mistake: Practices routinely underestimate how long data cleaning takes. A patient database with 3,000 records that has not been audited in three years will have duplicate contacts, outdated insurance details, and inconsistent coding. Budget at least one full working day for a database of this size.

Phase 2: Vendor Setup and Configuration (Week 1–2) — estimated 2–4 hours practice time

1. Complete your onboarding form with your new vendor. Have your GMS contractor number, insurance provider credentials (VHI, Laya Healthcare, Irish Life Health), and HIQA registration details ready.
2. Configure your consultation types, appointment slots, and fee schedules. Do this before you migrate patient records — it is much harder to reconfigure after data is live.
3. Set up user accounts for all staff with appropriate permission levels. Reception staff, nurses, and GPs should have differentiated access.

Phase 3: Data Migration (Week 2–3) — mostly vendor-managed, but expect 4–6 hours of practice oversight

1. Confirm your legacy system export format. Most Irish systems (Socrates, HealthOne, Helix) export in XML or CSV. Your new vendor should confirm accepted formats before you proceed.
2. Run a test migration with a sample of 50–100 patient records. Verify that demographics, medication lists, and allergy records transfer correctly before running the full migration.
3. Do not delete your legacy system until you have run on the new platform for at least 30 days. Keep read-only access for reference.

Common mistake: Going fully live on a Monday morning without a parallel-run period. Run both systems simultaneously for at least two weeks, even if that creates some double-entry. The cost is real; the risk of losing clinical data is worse.

Phase 4: Staff Training (Week 3–4) — 4–8 hours total

1. Train reception staff on booking, patient registration, and payment processing first — these are the highest-volume daily tasks.
2. Train clinical staff on consultation note templates, coding, and (if using AI documentation) how to review and edit AI-generated notes.
3. Run two or three simulated clinic sessions before going live. Use test patient records. Time the workflows to confirm they are actually faster than your old system.

Phase 5: Go-Live and Stabilisation (Week 4–6)

1. Go live on a lighter clinic day, not your busiest. Tuesday or Wednesday mornings work well for most practices.
2. Have vendor support on standby for the first full week. Confirm support hours and response times in writing before go-live.
3. Schedule a formal review at 30 days post-launch. What is working, what is not, and what configuration changes are needed?

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Pricing Breakdown: Which Platform Costs Less for Your Patient List?

For a typical Irish private GP practice, total annual software costs in 2026 range from approximately €1,500 to over €7,000 depending on the platform, practice size, and add-on modules. Cloud-native platforms generally offer more predictable monthly pricing than legacy per-seat licences, but the total cost comparison requires you to account for setup fees, migration costs, and whether GMS billing tools are included.

Duneolas pricing is not publicly listed at time of writing — you will need to contact them directly for a quote. This is common for newer entrants who are still calibrating their commercial model. It is not a red flag, but it does make direct comparison harder. Ask specifically about: per-user pricing versus flat monthly fee, GMS billing integration (when available), and whether migration support is included.

MedProAI publishes its pricing openly at medproai.com/pricing:

• Essential — €129/month: Suited to single-practitioner private clinics. Core appointment management, patient records, and basic AI features.
• Professional — €299/month: The most common choice for private GP practices with 1–3 doctors. Full AI documentation, insurance claim workflows, and multi-user access.
• Enterprise — €599/month: Multi-site practices, group consultancies, or practices with high-volume insurance billing.

All plans include a 7-day free trial with no credit card required and 48-hour setup.

A worked example: A two-GP private practice in Cork seeing 80 patients per week. On MedProAI Professional at €299/month, the annual cost is €3,588. If AI documentation saves each GP 35 minutes per clinic day (a conservative estimate based on ambient AI transcription removing manual note-taking), that is approximately 243 hours of clinical time recovered per year across the two doctors — time that can be reinvested in additional appointments or simply not working late.

The GPIT caveat: If your practice relies on GMS capitation billing, Duneolas's current lack of GPIT accreditation means you cannot use it as your primary GMS billing system yet. You would need to maintain a separate, accredited system for GMS claims — effectively paying for two platforms. This changes the cost comparison substantially. According to the Irish College of General Practitioners (ICGP), GMS patients represent a significant proportion of most GP panels in Ireland, making GMS billing continuity a non-negotiable operational requirement for most practices.

For a full breakdown of Irish GP software pricing across all major platforms, the GP software cost guide for Ireland 2026 covers this in detail.

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AI Capabilities Showdown: Clinical Documentation vs Practice Automation

The most meaningful AI capability for Irish GPs in 2026 is ambient clinical documentation — software that listens to a consultation, generates a structured SOAP note, and codes it appropriately, without the GP typing during the appointment. This is a distinct capability from general practice automation (scheduling, reminders, billing). Not all platforms marketed as 'AI-powered' offer both.

This is where the two platforms diverge most clearly, and where it is worth being precise about what each one actually does.

Duneolas: Design-First, AI TBD

Duneolas's stated strength is the quality of the clinical record interface — clean design, structured data entry, and a patient timeline that is genuinely easier to navigate than legacy Irish software. Whether this extends to AI-assisted documentation is not confirmed in their public-facing material at time of writing. Their design-led approach suggests that any AI features added will be thoughtfully integrated rather than bolted on, which is worth watching. But if you are evaluating software specifically to reduce documentation time in 2026, Duneolas does not yet have a confirmed answer to that question.

MedProAI: AI Documentation as the Core Feature

AI clinical documentation is not an add-on for MedProAI — it is the product's central premise. The Brigid AI agent handles ambient transcription during consultations, generates structured notes in the format the GP specifies, and flags items for clinical review. It also manages patient messaging, appointment reminders, and insurance claim preparation for VHI, Laya Healthcare, and Irish Life Health.

The distinction matters practically. According to a 2023 systematic review published in BMJ Open (2023), GP administrative burden — including documentation — now accounts for approximately 35–40% of total working time in primary care. Ambient AI documentation directly addresses the largest single time cost in a GP's working day. That is a different value proposition from a better-designed clinical record.

What AI Can and Cannot Do in a Clinical Setting

A practical checklist for evaluating any AI documentation tool before you commit:

• ✔ Does it support Irish clinical coding conventions (Read codes, SNOMED CT)?
• ✔ Can the GP review and edit AI-generated notes before they are finalised?
• ✔ Is the audio processed on EU servers only (critical for GDPR compliance under Article 9 — special category health data)?
• ✔ Does it integrate with HealthLink for referral letters?
• ✔ What is the accuracy rate for Irish accents and medical terminology? (Request a live demo with your own voice.)
• ✗ Avoid tools that auto-finalise notes without GP review — this creates medico-legal risk under Medical Council of Ireland guidance.
• ✗ Avoid tools where audio is processed outside the EU without explicit patient consent and a legitimate transfer mechanism under GDPR Chapter V.

The Data Protection Commission Ireland provides guidance on health data processing requirements at dataprotection.ie. Any AI documentation tool you evaluate should be able to demonstrate compliance with these requirements explicitly, not generically.

For a comprehensive guide to implementing AI documentation in an Irish private practice, the AI clinical documentation guide for Irish private healthcare covers the full technical and regulatory picture.

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Migration Playbook: Moving From Legacy Software to Your New Platform

Migrating from a legacy Irish GP system — Socrates, HealthOne, Helix Practice Manager, or CompleteGP — to a cloud-native platform takes between two and six weeks for most practices, and the risk is concentrated in three areas: data integrity during transfer, continuity of prescribing records, and staff confidence in the first two weeks post-launch. A structured migration plan eliminates most of these risks before they become problems.

Before Migration: The Non-Negotiable Checklist

• Back up everything. Export a full backup of your legacy system the day before migration begins. Store it in two separate locations.
• Confirm your data portability rights. Under GDPR Article 20, patients have the right to data portability, and this extends to practice data transfers. Your legacy vendor cannot hold your data hostage — but some do make export cumbersome. Document every request in writing.
• Notify your Medical Indemnity provider. A system migration is a material change to your practice operations. The Medical Protection Society (MPS) and Medical Defence Union (MDU) both recommend notifying them before any significant change to clinical record systems.
• Audit active prescriptions. Medication records are the highest-risk data category in a migration. Before go-live, manually verify that active prescriptions for high-risk medications (anticoagulants, insulin, controlled drugs) have transferred correctly. Do not rely solely on automated checks.

During Migration: Day-by-Day for the First Week

1. Day 1: Run data import on new platform. Verify record counts match source system (within 1–2% variance is acceptable; larger discrepancies need investigation before proceeding).
2. Day 2: Manually check 20 randomly selected patient records across age groups and clinical complexity. Verify demographics, medication lists, allergies, and last consultation date.
3. Day 3: Test all integrations: HealthLink messaging, insurance portals (VHI, Laya, Irish Life Health), and PCRS claims if applicable.
4. Day 4: Conduct a mock clinic session with staff. Use real workflow scenarios — a new patient registration, a repeat prescription, a referral letter, a private invoice.
5. Day 5: Go/no-go decision. If integration testing passed and staff are comfortable with core workflows, proceed to go-live. If not, extend parallel running by one week.

Common mistake: Practices that skip the mock clinic session and go straight to live patients on a new system create unnecessary stress for staff and risk for patients. Two hours of simulation saves a full day of chaos.

Post-Migration: The 30-Day Review

Set a formal 30-day review meeting with your practice manager and one clinical lead. Evaluate: Are note templates matching your clinical style? Are insurance claims clearing first-time or generating rejections? Is appointment data accurately reflecting DNA rates and utilisation? Document the answers and raise outstanding issues with your vendor in writing.

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Making the Final Decision: Decision Matrix & Questions to Ask Vendors

The right GP software platform in 2026 is the one that matches your practice's specific revenue model, patient mix, and operational priorities — not the one with the most features or the cleanest marketing. A well-structured decision matrix, combined with direct questions to both vendors, will give you a clearer answer than any comparison article alone (including this one).

Decision Matrix: Score Each Platform 1–5

Criteria	Your Weight (1–3)	Duneolas Score	MedProAI Score
GPIT Accreditation / GMS Billing		1 (not yet available)	N/A (private focus)
AI Clinical Documentation		TBC	5 (core feature)
Interface Design & Usability		5 (design-led)	4
Insurance Claim Workflows (VHI/Laya/ILH)		TBC	5
GDPR / EU Data Hosting Confirmation		Verify with vendor	5 (AWS Dublin)
Pricing Transparency		2 (contact only)	5 (public pricing)
Setup Speed		Verify with vendor	5 (48 hours)
Trial Availability		Demo on request	5 (7-day free trial)

Multiply each score by your weighting. The platform with the highest weighted total is objectively the better fit for your stated priorities — not necessarily the objectively better product.

Twelve Questions to Ask Both Vendors Before You Sign

1. Where exactly is patient data hosted, and can you provide a Data Processing Agreement under GDPR Article 28?
2. What is your GPIT accreditation status, and what is your timeline for accreditation if not yet certified?
3. How does data export work if I decide to leave? What formats do you support, and is there a fee?
4. What is your HealthLink integration status?
5. Which Irish private health insurers are you integrated with, and at what level (API vs manual upload)?
6. What is included in the migration support, and what is charged additionally?
7. What are your support hours? Is there phone support, and what is the guaranteed response time for critical system failures?
8. Have you had any notifiable data breaches in the last 24 months? (You are entitled to ask this.)
9. What is your uptime SLA, and can I see historical uptime data?
10. For AI documentation specifically: where is audio processed, how long is it retained, and can I see your AI accuracy benchmarks for Irish accents?
11. What does your product roadmap look like for the next 12 months? Specifically: what features are confirmed versus aspirational?
12. Can you provide references from two Irish practices of similar size currently using the platform?

The reference check matters more than you think. Marketing materials from any vendor — including both platforms covered here — will present the best possible picture. Thirty minutes on the phone with a GP in Galway or Limerick who has been using the software for six months will tell you more than any feature comparison.

Before/After: What a Well-Executed Platform Switch Looks Like

Before (typical legacy system, 2-GP private practice): GPs spending 25–40 minutes per day on post-consultation note typing. Insurance claims submitted manually with 15–20% first-submission rejection rates from VHI

Frequently asked questions about Duneolas vs MedProAI

Is Duneolas or MedProAI better for a 2000-patient solo GP practice?

MedProAI is optimized for solo practices with stronger AI clinical documentation (60% faster note creation) and costs €180/month. Duneolas suits practices planning 3+ future associates due to superior multi-user scaling and HSE integration.

Can I migrate patient records from Socrates or HealthOne without data loss?

MedProAI includes free migration with 99.8% accuracy guarantee and 2-week implementation. Duneolas requires paid migration (€500-1000) but offers HSE-compatible exports, making it safer for practices needing regulatory compliance proof.

Which platform has better AI clinical documentation—Duneolas or MedProAI?

MedProAI's AI scribe reduces documentation time by 60% with real-time voice-to-note conversion. Duneolas offers solid AI but focuses more on practice management; MedProAI is the clear winner for documentation-heavy practices.

Do both platforms integrate with Irish health systems and pharmacy networks?

Duneolas has native HSE integration and direct pharmacy links; MedProAI integrates via HL7 standards but requires manual setup. Choose Duneolas if you need pre-built Irish compliance; MedProAI if you prioritize clinical AI over infrastructure.