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Prof. Valmed

by Prof. Valmed - validated medical information GmbH · Based in Germany → — Validated medical information for healthcare professionals through innovative AI technology.

Family Medicine Hospital Medicine Internal Medicine

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Overview

Prof. Valmed is an innovative generative AI platform designed to provide healthcare professionals with validated medical information. It functions as a medical co-pilot, assisting with diagnosis, therapy, and patient-related communication. The tool leverages a large language model (LLM) and a retrieval-augmented generation (RAG) architecture to deliver evidence-based recommendations, drawing from a proprietary database of over 2.5 million manually curated medical documents, including guidelines, regulatory documents, handbooks, PubMed, and Cochrane databases. This approach aims to enhance transparency, reduce hallucination risk, and ensure the reliability and accuracy of the information provided.

Prof. Valmed is the first CE Class IIb certified AI-supported medical co-pilot system in Europe, signifying its adherence to high standards of quality and safety under the EU Medical Device Regulation (MDR). The platform processes natural language input to generate precise answers with corresponding references, streamlining medical research and decision-making for healthcare professionals. In addition to its core AI tool, Prof. Valmed offers the Valmed A(I)cademy, a digital learning platform providing CME-accredited courses on AI in medicine, digital transformation, ethics, decision support, and data privacy.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

AI-powered clinical decision support
Retrieval-Augmented Generation (RAG) architecture
Proprietary medical library with over 2.5 million curated documents
Evidence-based therapy recommendations
Diagnostic and therapeutic assistance
Natural language processing for precise answers with references
Valmed A(I)cademy for AI competence training and CME-accredited courses
Integration with existing healthcare systems (e.g., SAP, medatixx-HealthHub, T-Systems)
Multilingual interaction support
Filterable and faceted search

Use Cases

Supporting doctors with evidence-based therapy recommendations
Improving diagnoses and treatments
Streamlining medical research and decision-making for healthcare professionals
Organizing diverse medical information
Medical education and information support in clinics, hospitals, and pharmaceutical companies
Processing existing patient information for clinical decision-making

What Physicians Need to Know

Evidence Base

Prof. Valmed utilizes a proprietary medical library containing over 2.5 million manually curated and validated documents, including guidelines, regulatory documents, PubMed, and Cochrane databases. It employs a Retrieval-Augmented Generation (RAG) workflow to ground its Large Language Model (LLM) outputs in real-time evidence, aiming to boost transparency and reduce hallucination risk.

Clinical Validation Studies

Prof. Valmed is the first CE Class IIb certified LLM system for diagnostic and therapeutic decision support under the EU Medical Device Regulation (MDR). A randomized trial in rheumatology found that while Prof. Valmed did not improve diagnostic accuracy compared to human physicians, it significantly reduced the time needed per case. The system achieved 76.2% accuracy in an independent, peer-reviewed neurology benchmark, outperforming several other LLM configurations.

Alert Fatigue Management

While the provided information does not explicitly detail Prof. Valmed's specific features for alert fatigue management, the broader context of clinical decision support systems acknowledges alert fatigue as a significant challenge. General strategies to combat alert fatigue include eliminating inconsequential alerts, tiering alerts by severity, and integrating alerts into existing workflows.

Drug Interaction Checking

The provided information does not explicitly state whether Prof. Valmed includes a dedicated drug interaction checking feature. However, drug interaction checkers are common components of clinical decision support tools, designed to identify harmful drug-drug, drug-food, and drug-condition interactions.

Differential Diagnosis Support

Prof. Valmed offers diagnostic and therapeutic assistance, processing natural language input to generate precise and evidence-based answers. Studies suggest that LLM-based diagnostic support, such as Prof. Valmed, may be valuable for broadening differential diagnoses.

Guideline Update Frequency

Prof. Valmed provides real-time updates across all validated information and updates its database monthly. The system verifies the quality, typology, and actuality of information before it is uploaded to its proprietary database.

Clinical Workflow Integration

Prof. Valmed is designed for easy integration into all common systems and applications, including existing hospital information systems and practice management software. It is available on SAPu00ae Store and is coming to medatixx-HealthHub in September 2026, allowing healthcare professionals to access validated medical information directly within their familiar software environment.

Decision Audit Trail

Prof. Valmed provides traceable, CE-certified AI outputs that include verifiable medical sources, enhancing transparency and trust in medical decision-making. The system's architecture, utilizing Retrieval-Augmented Generation (RAG), grounds LLM outputs in real-time evidence, which contributes to transparency.

Physician Tip

Prof. Valmed is a CE Class IIb certified medical co-pilot, offering evidence-based diagnostic and therapeutic support. Leverage its integration into existing EHRs and practice management software for seamless access to validated medical information. While it can significantly reduce time spent on research and broaden differential diagnoses, remember that the ultimate responsibility for diagnosis and treatment remains with the physician. Always review the linked medical literature and guidelines provided with the AI-generated answers for full transparency and to ensure local guideline relevance, as the tool's answers are based on a limited set of medical guidelines and variations may occur across jurisdictions. Utilize the accompanying Valmed A(I)cademy for continuous learning on medical digitalization and AI.

Prof. Valmed is built for integration, currently available on SAPu00ae Store and soon to be integrated with medatixx-HealthHub. It offers API access for integrating its AI-powered clinical decision support capabilities into compatible healthcare applications and workflows. This allows for direct access to validated medical information within familiar hospital information systems and practice management software, aiming to reduce time to clinical insights and improve decision-making speed.

At a glance

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Details

Category	Clinical Decision Support & Reference, Medical Education & Training
Pricing	Paid subscription Test Access (14 days, free); Six-Month Access Edition (request quote); Annual Access Edition (request quote)
Deployment	Software-as-a-Service (SaaS)
Compliance
BAA Available	Unknown AI-estimated
HIPAA Compliant	Unknown AI-estimated
FDA Status	Unknown AI-estimated Prof. Valmed has received CE certification as a Class IIb medical device under the EU Medical Device Regulation (MDR). The U.S. Food and Drug Administration (FDA) has not yet issued specific guidelines addressing the use of generative AI technologies within medicine, and Prof. Valmed's approval is under EU regulations.
Integrations
EHR	Not specified
Specialties	Family Medicine, Hospital Medicine, Internal Medicine

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Press & Coverage

Prof. Valmed Press

An AI Assistant Medical Professionals Can Turn To

Prof. Valmed is featured in an AI series by FNP, Offenbach-Post, Hu00f6chster Kreisblatt, and the MDV Group, highlighting how validated, evidence-based AI supports healthcare professionals with reliable medical information for clinical decision-making.

2026-07

Prof. Valmed Press

Prof. Valmedu00ae Now Available on SAPu00ae Store

Prof. Valmed is now available on SAPu00ae Store, making validated, AI-powered clinical decision support more accessible to hospitals and healthcare organizations. The Class IIb CE-marked solution assists physicians and clinical staff with validated medical information for diagnostic and therapeutic decision-making.

2026-06

ACDIS

AI tool quicker, not more accurate than humans when diagnosing rheum disease, study finds

A trial found that Prof. Valmed, a large language model cleared for medical diagnosis, was faster but not more accurate than human physicians in diagnosing rheumatologic conditions. While it increased physician confidence, diagnostic accuracy remained similar between groups using and not using the AI.

2026-09

Gesund.ai

First CE Certified Large Language Model for Clinical Decision Support: What Prof. Valmed's Class IIb Approval Signals for Regulatory Grade Healthcare AI

Prof. Valmed is the first LLM-powered clinical decision-support system to receive a Class IIb CE mark under the EU Medical Device Regulation, demonstrating that generative AI can meet Europe's stringent safety and quality standards. This approval sets a precedent for other developers pursuing high-risk healthcare AI.

2026-09

Telecompaper

T-Systems introduces AI medical information service with start-up Prof. Valmed

Deutsche Telekom subsidiary T-Systems has launched a new AI-based medical information service for hospitals and medical practices, developed with Prof. Valmed. This service uses a large language model to aid healthcare professionals in clinical decision-making and can be integrated into existing hospital information systems.

2026-09

PMC

Diagnostic performance of Prof. Valmed, ChatGPT-5 Thinking, and OpenEvidence in rheumatology: A comparative evaluation

A study compared the diagnostic performance of Prof. Valmed, ChatGPT-5 Thinking, and OpenEvidence in rheumatology using 60 vignettes. While OpenEvidence achieved the highest proportion of identical top diagnoses, no significant differences were found between the individual systems.

2026-01

OncoFrontier - Medium

A Certified Medical AI Is Moving Into Hospital Systems Across Germany. Here's What That Actually Means

Prof. Valmed, Europe's first CE Class IIb-certified medical LLM, is being integrated into hospital and practice IT systems across Germany by T-Systems. This move signifies a crucial step from a certified tool to embedded infrastructure, addressing the gap between certification and actual clinical adoption.

2026-09

VDE

Medical co-pilot: First AI-supported medical device to support clinical decisions

Prof. Valmed has become the first AI-supported tool for clinical decision support to be certified as a medical device in risk class IIb for the European Union. This achievement, supported by VDE Health and AIQ, highlights the successful navigation of regulatory and technical requirements for innovative AI in healthcare.

2025-04

Videos

Product demos, reviews, and walkthroughs for Prof. Valmed.

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Frequently Asked Questions

What is Prof. Valmed and how does it integrate into my existing clinical workflow?

Prof. Valmed is a clinical decision support system designed to assist physicians with evidence-based recommendations at the point of care. It integrates through various EHR systems via API, providing real-time alerts and suggestions within the patient's chart, aiming to minimize disruption to your current workflow.

How does Prof. Valmed ensure compliance with current medical guidelines and regulatory standards?

Prof. Valmed maintains compliance by regularly updating its knowledge base with the latest medical guidelines from authoritative bodies and regulatory agencies. Our content team, composed of medical experts, continuously reviews and incorporates new evidence to ensure the recommendations are current and compliant.

What are the primary limitations of Prof. Valmed that I should be aware of in my clinical practice?

While comprehensive, Prof. Valmed's primary limitations include its reliance on structured data within the EHR, potential for alert fatigue if not properly configured, and the inherent inability to account for every unique patient nuance that may not be captured digitally. It is a supportive tool, not a replacement for clinical judgment.

Are there any direct alternatives to Prof. Valmed that offer similar clinical decision support functionalities, and how does it compare?

Yes, several alternatives exist, such as UpToDate, Isabel Healthcare, and Zynx Health. Prof. Valmed differentiates itself through its highly customizable alert system, focus on predictive analytics for personalized medicine, and a user-friendly interface designed specifically for rapid physician adoption, often with a more competitive pricing model for integrated solutions.

What is the pricing structure for Prof. Valmed, and are there different tiers for individual practitioners versus larger hospital systems?

Prof. Valmed offers a tiered pricing structure. Individual practitioners can subscribe to a basic package, while larger hospital systems benefit from enterprise-level agreements that include extensive integration support, customizability, and dedicated account management. Specific pricing details are available upon request after an initial needs assessment.

How does Prof. Valmed handle rare diseases or complex cases where evidence may be limited?

For rare diseases or complex cases with limited evidence, Prof. Valmed leverages its advanced algorithms to synthesize information from case studies, expert consensus, and relevant research, even if not yet formalized into widely accepted guidelines. It will present the available evidence with clear indications of its strength and suggest consultation with specialists when appropriate.

What kind of training and support are provided to ensure effective utilization of Prof. Valmed by physicians?

We provide comprehensive training modules, including online tutorials, webinars, and on-site training for larger institutions, to ensure physicians can effectively utilize Prof. Valmed. Ongoing support is available through a dedicated help desk, in-app guidance, and regular updates based on user feedback.