Clinical documentation
SOAP note structuring
Physician dictation → SOAP note → ICD-10 suggestion → EHR field population. On-premise.
↓ 12min → 90sec per note
We build self-hosted Meditron clinical AI on your own infrastructure, with clinician-reviewed, domain-tuned medical models, built-in grounding, audit trails, and full ownership without vendor lock-in.
Domain-tuned medical models that run on your infrastructure, with no vendor lock-in.
Meditron is pre-trained on PubMed abstracts, medical textbooks and clinical guidelines - not general web text. It understands clinical entities, SNOMED terminology, ICD coding conventions and evidence-based reasoning patterns out of the box. Fine-tuning on your records closes the remaining gap.
We don't declare the model ready for production until it passes a clinician-agreed accuracy threshold on a held-out set of de-identified records from your institution. The eval suite is yours at handoff - your clinical informatics team uses it to validate every future retraining run.
The fine-tuned Meditron weights, the QLoRA fine-tuning scripts, the de-identification pipeline, the eval suite with automated scoring, the deployment configuration, monitoring dashboards, and on-call runbooks. Everything. Your clinical IT team inherits a running system.
General models lack clinical grounding; Meditron is reviewed and tuned by clinicians.
Whoever owns clinical AI: we build models you control and clinicians trust.
Note structuring, coding support, and clinical Q&A running live and reviewed.
Physician dictation → SOAP note → ICD-10 suggestion → EHR field population. On-premise.
Clinical notes + payer criteria → PA letter with evidence citations. In-VPC.
Patient record → discharge summary with medications, follow-up, red flags.
Prescribed medications → RxNorm interaction scan → contraindication flags with severity.
Clinical notes → ICD-10/CPT suggestions with supporting text. Coder reviews.
Clinical notes → ICD-10/CPT code suggestions with confidence score and supporting text.
Pathology dictation → structured report with SNOMED-coded findings.
Clinical notes → quality measure compliance scoring. Population health analytics.
Clinician Q → Meditron retrieval over clinical guidelines + formulary → cited answer.
IG architecture document. DPIA support. VPC or on-premise GPU setup. De-identification pipeline configured and validated (>99% PHI detection rate).
De-identification of training data. QLoRA fine-tuning on de-identified clinical records. Eval suite built and reviewed by practising clinicians. Accuracy benchmarked.
EHR integration (HL7 FHIR API or EHR-specific connector). Confidence thresholds. Clinician review queue. Audit logs. Supervised clinical pilot with 5-10 physicians.
Runbooks. Fine-tuning pipeline documentation. Retraining schedule. Eval scoring automation. On-call procedures. Governance review sign-off.
The model, serving, and audit stack that keeps Meditron grounded and owned.
Live, clinician-reviewed models supporting decisions across real care settings.
Deep teams with industry context - not generalists googling compliance acronyms. Each industry below has 30+ shipped projects and a partner who knows the regulator.
Telemedicine, EHR/EMR, claims automation, clinical decision support. HIPAA, HL7/FHIR, GDPR. Active partnerships with 14 hospital networks.
Core banking, neobank, payments, lending, KYC, fraud. PCI DSS, RBI sandbox, Open Banking, ISO 20022. We've shipped to Tier-1 banks in 4 countries.
Headless commerce, marketplace, omnichannel, AR try-on, AI recommendations. Shopify Plus, BigCommerce, custom. 22+ storefronts live with avg +34% AOV.
Last-mile optimisation, TMS, WMS, fleet IoT, route prediction, real-time tracking. Shipped to UPS, Alod and 11 other logistics operators.
OTT platforms, content recommendation, real-time encoding, multi-DRM, distribution at network scale. Sony Pictures, Hello Baby Direct and more.
LMS, adaptive learning, AI tutors, government portals. Shipped UKIERI for the British Council and 6 state-government education portals.
Real names, real companies, real numbers. Video on the left, written notes on the right - choose whichever feels more honest.
Although regulations prevented the site's launch, it met all requirements in terms of form and function. Fullestop's project plan charted a clear course to completion. The team's flexible, diverse talent pool enabled them to manage each stage of the project with consistent levels of skill.
Weekly demos, no surprises, and they push back when we're wrong. That last part is rare. Cut our cloud bill 47% in the first audit.
We constantly come up with top-tier resources and breathtaking
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Meditron is a medical large language model built on Llama 2, specifically adapted using curated, high-quality medical datasets for superior clinical understanding and reasoning compared to general AI models.
Meditron’s training on diverse medical specialties allows it to be customized for specific departments, such as oncology, cardiology, or radiology, optimizing relevance and accuracy.
Yes, Meditron supports integration with telemedicine platforms by powering conversational AI, patient record summaries, and automated follow-ups within remote care workflows.
Meditron assists predictive analytics by analyzing patient data histories and clinical indicators to forecast outcomes, complications, or responses to treatment.
Meditron can automate clinical trial recruitment by matching patient records with eligibility criteria, reducing time to enroll and improving trial efficiency.
Chronic disease management benefits from Meditron’s ability to monitor patient data over time, detect trends, and suggest personalized care adjustments.
Meditron supports personalized medicine by integrating genomic, lifestyle, and clinical data to tailor recommendations and therapies on an individual basis.
