
GP Wouter reduces prep and admin time by 60% and regains focus in consultations with Delphyr in Bricks
Wouter is a general practitioner in the Netherlands, working in a busy primary care practice where demand keeps rising and consultation times stay the same. Like many GPs, he spent a significant part of his day preparing for visits, searching through fragmented records, and drafting letters after consultations.

Delphyr Team
·
5 min read
Delphyr team working with client:

Joe Shepherd PhD
Medical Data Scientist

Myrthe Kleijn
Commerical Lead Delphyr
Client info:
User:
Wouter, GP
Location:
Netherlands
Medical record system:
Bricks GP
Use case:
Primary Care / General Practice

Contact Myrthe Kleijn

Myrthe Kleijn
Commerical Lead Delphyr
myrthe@delphyr.ai
06 16 08 70 76
Key challenges:
Time-consuming manual prep before consultations
Repetitive documentation after visits
High cognitive load and risk of missing details
Admin work extending beyond working hours
Delphyr integrates into Bricks, providing structured patient overviews, automated summaries, and real-time documentation — without switching systems.
Key capabilities:
Instant patient summaries
Real-time documentation support
Seamless in-EHR integration
Delphyr reduces prep and documentation effort, enabling more focused consultations and better patient interaction.
Key outcomes:
Less time on prep and admin
More focused consultations
Faster access to key information
Lower cognitive load
Work completed within working hours
Background
Primary care in the Netherlands is under constant pressure. Patient lists are growing, cases are becoming more complex, and GPs are expected to deliver high-quality, continuous care while managing increasing administrative demands. For Wouter, the challenge wasn’t only time spent typing, it was the mental context switching between care, documentation, and information retrieval.
Before Delphyr, preparing for consultations meant scanning long patient histories, opening multiple screens, and manually pulling together relevant information. After consultations, letters and follow-ups often had to be completed between patients or at the end of the day. Even small tasks added up, leaving little margin for reflection or recovery.
Challenges
Wouter’s workday consisted of back-to-back consultations, interrupted by phone calls, messages from assistants, and urgent requests. Patient information was spread across notes, correspondence, lab results, and historical entries in Bricks. Finding the right detail at the right moment required time and attention.
Key challenges included:
Time-consuming preparation before consultations
Difficulty quickly locating relevant patient history
Repetitive drafting of referral letters and follow-ups
Mental fatigue from constant context switching
Administrative work spilling into evenings
While Bricks already supported core workflows, Wouter needed help turning existing data into clear, actionable insights — without leaving the system he already trusted.
The solution: AI assistance directly inside Bricks
With Delphyr integrated into Bricks, Wouter gained access to AI-powered assistants directly inside his existing HIS. No new system, no extra logins, and no disruption to established workflows.
Delphyr supported Wouter in three key areas:
Consult preparation
Before a visit, Delphyr summarized relevant patient history and highlighted key events, medications, and prior decisions. This allowed Wouter to start each consultation with a clear overview in seconds.
Search
Instead of manually navigating records, Wouter could quickly search across patient data and consult guidelines, even when information was spread across multiple entries.
Letter drafting
After consultations, Delphyr generated structured drafts for referrals and follow-up letters, which Wouter reviewed and finalized. This reduced repetitive typing and helped ensure consistency.
All data remained securely within Bricks, aligned with privacy and security requirements for primary care.
The results
After the first weeks of use, Wouter reported a noticeable shift in how his day felt. Administrative tasks no longer dominated the gaps between patients, and preparation time dropped significantly.
Key outcomes included:
Around 60% less time spent on consultation preparation
Faster completion of referral and follow-up letters
Fewer interruptions to clinical focus during consultations
Reduced mental load from searching and summarizing information
Greater sense of control over the workday
Instead of carrying tasks forward, Wouter was able to close more loops during the day itself.
“I walk into the consultation already knowing what matters. That changes the whole conversation.”
— GP Wouter
From first use to daily routine
Wouter started using Delphyr as part of his normal Bricks workflow, without changing how he documents or communicates with colleagues. The AI assistants adapted to his way of working rather than forcing new routines.
What began as a trial quickly became part of daily practice. Based on Wouter’s experience, the practice is now exploring broader use of Delphyr for additional clinicians and administrative staff.
The integration showed what’s possible when AI is embedded directly where GPs already work — not as an extra tool, but as quiet support in the background. For Wouter, the impact was simple but meaningful: more attention for patients, less energy spent on administration, and a more sustainable workday.
“Before using Delphyr, I spent a significant part of my day preparing for consultations and catching up on documentation afterward. It often felt like I was dividing my attention between the patient and the system.
With Delphyr integrated into Bricks, I now have a clear and structured overview before each consultation, and documentation happens naturally during the visit. I no longer need to stay late to finish admin work.
What changed the most is the quality of my consultations — I can truly focus on the patient, listen better, and make decisions with more confidence. It has made my work not only more efficient, but also more satisfying.”

Joe Doe
General Practitioner

