MPIRIQ unlocks high-quality patient insights from routine care and turns them into compliant, structured evidence for clinical research and real-world evidence.

Most medical care happens in outpatient settings, yet a large share of patient data stays disconnected from research. MPIRIQ changes that by making routine care patients visible for your studies and commercial insights.
Our AI-powered software extracts, organises and de-identifies comprehensive patient source data and turns it into research-grade evidence, built for GDPR-compliant collaboration.
Access large patient pools through the MPIRIQ network of physician practices, with automated pre-screening against inclusion and exclusion criteria, for more robust feasibility, faster recruitment and fewer screen failures.
Automated real-world data extraction embedded in participating practices, extending evidence generation into previously understudied or under-represented patient groups.
All processes run in a compliant framework that preserves privacy and assures quality, backed by transparent consent, de-identification and secure infrastructure.
MPIRIQ combines AI-supported data extraction with data science validation to mobilise patient populations that clinical research often misses. The result is higher referral productivity and better patient matching, through everyday physician practices.
Improve eligibility fit to protocol criteria and reduce screen failures.
Access untapped patients from routine care and activate affiliated referral networks.
Access structured, quality-checked datasets for confident decisions.
Execute across practices with privacy preserved and compliance built in.
Gain insight into real-world care settings.
Recruitment acceleration through better identification and eligibility matching from routine care.
An end-to-end RWE study solution in routine practices.
Clinical trials often compete for the same sites and the same patients. MPIRIQ widens the recruitment funnel with a direct link to routine care populations and stronger referral pathways into trials.
Identify eligible patients beyond established study sites by activating affiliated practices and referral flows.
Increase alignment between patient profiles and protocol eligibility criteria to reduce the screen failure rate.
Not only AI outputs: our data science team validates extracted information to deliver high data accuracy.
Standardised workflows that can be rolled out across practices and indications.
RWE is only as strong as its data and the ability to execute consistently. MPIRIQ gives you access to physicians and patients in routine medicine who typically do not take part in clinical research, with an end-to-end study solution designed for everyday practices.

Reach routine practices and patient populations that usually sit outside established research settings.
Run RWE and non-interventional studies directly in routine care, without depending on traditional study sites.
Complete data sets, one single process, one interface from study setup to data delivery.
No extra vendors for extraction, structuring or operations. Access to comprehensive evidence stays unified through MPIRIQ.
MPIRIQ is designed for healthcare reality: strict privacy requirements, independent systems and high expectations for data integrity. We protect data at the source and keep a legally robust, privacy-preserving framework across the full flow.
Practices provide patient data on a valid legal basis.
MPIRIQ structures and validates the data, working with GDPR-compliant datasets.
Sponsors access research-ready outputs with consistent governance.
Turn everyday documentation into research-ready insight, without forcing care teams into research complexity.
AI-supported extraction plus data science quality assurance, for credible and usable outputs.
A unified approach that supports both clinical trials and real-world evidence on the same foundation.
Let’s accelerate your research together.