Use Cases · Healthcare & Pharma

AI Agents for
Healthcare & Pharma

Automate the most critical healthcare processes with AI agents built for GDPR, HIPAA and ISO 27001 compliance by design. Without compromising patient safety or data integrity.

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Compliance: ISO 27001 HIPAA GDPR Art. 9 ENS Alto
95% Reduction in internal query time
80h+ Saved per pharmacological audit
100% Patient data traceability

Healthcare faces a paradox

Healthcare organisations manage the world's most sensitive data, yet continue to rely on manual processes that are slow, costly and error-prone.

AI agents are not science fiction: they are the answer to that paradox. But only if designed with security and compliance at their core.

Without AI
  • Manual pharmacovigilance: 40h/month
  • ER triage: 3h average wait time
  • Trial management: 60% time on paperwork
  • Audit execution: 80h/cycle
With Delbion AI
  • Pharmacovigilance: automated 24/7
  • Triage: real-time prioritisation
  • Trials: focus on science, not admin
  • Audits: continuous, not periodic

6 Use Cases in Production

Each case includes the real problem, the agent architecture and measurable results

Pharma

Autonomous Pharmacovigilance Agent

Continuous monitoring of drug safety signals at scale, with automatic alerts and regulatory reports ready for EMA/FDA.

AI visualisation of pharmacovigilance: neural network processing pharmacological safety signals

The challenge

Pharmacovigilance teams monitor thousands of sources (scientific publications, social media, clinical records, EudraVigilance databases) manually. A team of 5 people spends over 40 hours per month on signal review alone. Regulatory deadlines are unforgiving.

How the agent works

Continuous ingestion PubMed, EudraVigilance, Twitter/X, internal records
Signal analysis NLP classification + automatic causal reasoning
Prioritised alerts Only relevant signals reach the medical team
Regulatory reports ICH E2B(R3) automatically generated for EMA/FDA

Measurable results

-75% Manual review hours
24/7 Source coverage
100% Regulatory traceability
HIPAA ICH E2B(R3) ISO 27001 GDPR
Hospital

Clinical Triage & Prioritisation Assistant

Agent that assists ER staff in prioritising patients based on clinical severity, history and available resources in real time.

AI visualisation of clinical triage: prioritisation engine with ECG signals and colour-coded urgency channels

The challenge

In the ER, manual triage depends on the individual judgement of the nurse on duty, with incomplete information under pressure. A patient having a heart attack may wait if presenting atypical symptoms. The margin for error has direct consequences on patient lives.

How the agent works

Structured data collection Symptoms, vital signs, clinical history (EHR)
Multimodal analysis Comparison with clinical guidelines + anonymised similar cases
Evidence-based recommendation Priority level + auditable reasoning for the clinician
Continuous monitoring Automatic re-prioritisation if vital signs change

Measurable results

-40% Time to medical assessment
+30% Early detection of critical cases
0 Decisions without audit trail
Human-in-the-loop: The agent assists the clinician. The final decision always rests with the healthcare professional.
HIPAA GDPR Art. 9 ISO 27001 MDR 2017/745
Pharma / CRO

Clinical Trial Optimisation

Agents that automate document management, protocol monitoring and regulatory reporting in clinical trials, reducing administrative burden by 60%.

AI visualisation of assisted diagnostics: brain scan with pathology analysis and real-time anomaly detection

The challenge

Over 60% of trial coordinators' time is spent on administrative tasks: managing informed consents, updating CRFs, monitoring adverse events and preparing reports for EMA/FDA. Less than 40% can be dedicated to science.

How the agent works

Intelligent document management CRFs, consents and protocols organised automatically
Deviation monitoring Automatic detection of protocol deviations and adverse events
Regulatory reporting SUSAR, IND and Clinical Study Reports generated automatically

Measurable results

-60% Coordinator administrative burden
-3 wks EMA reporting preparation time
0 gaps Undetected protocol deviations
ICH GCP E6(R3) 21 CFR Part 11 GDPR ISO 27001
Hospital / Clinic

24/7 Patient Care Agent

Conversational assistant that answers post-consultation questions, manages appointments, sends medication reminders and detects alarm signals requiring urgent attention.

AI visualisation of chronic care: continuous cycle of wearable data and real-time health predictions

The challenge

30% of phone calls to healthcare centres are for post-consultation queries or appointment management that don't require medical intervention. They saturate switchboards, create waiting times and frustrate patients. A chronic patient who doesn't receive a quick response may end up in the ER unnecessarily.

How the agent works

Secure omnichannel Encrypted WhatsApp, dedicated app or patient portal
Personalised clinical context Controlled access to patient EHR (only what's needed)
Intelligent escalation Alarm signals detected → immediate referral to physician

Measurable results

95% Queries resolved without intervention
-35% Avoidable ER visits
4.8/5 Patient satisfaction score
Principle of least privilege: The agent only accesses the clinical data strictly necessary for each interaction, with the patient's explicit consent.
HIPAA GDPR Art. 9 ENS Alto ISO 27001
Compliance

GDPR Compliance Agent for Health Data

Continuous monitoring of GDPR compliance in the processing of special category data (Art. 9), with automated rights management and security breach alerts.

AI visualisation of regulatory document management: document vault with automatic classification and EU/FDA/ISO compliance badges

The challenge

Health data is special category under GDPR (Art. 9): fines for non-compliance can reach 4% of global annual turnover. Hospital DPOs manage rights requests manually, at risk of exceeding the 30-day legal deadline.

How the agent works

GDPR rights intake & classification Access, rectification, erasure and portability requests handled automatically
Legal deadline tracking Automatic alerts before the 30-day deadline
Breach monitoring Detection and notification to supervisory authority within 72h if required

Measurable results

0 GDPR requests out of deadline
-70% DPO workload on rights management
72h Guaranteed breach notification
GDPR Art. 9 LOPDGDD ISO 27001 ENS Alto
Hospital / Clinic

Internal Query Agent for Clinical Teams

Clinical and regulatory knowledge base accessible via secure chat: protocols, clinical guidelines, internal procedures and regulations. Answers in seconds, with cited sources.

AI visualisation of clinical knowledge base: data network connecting protocols, guidelines and regulatory documentation

The challenge

An on-call physician spends an average of 20 minutes searching intranets and PDFs for the answer to a protocol query. Multiply that by 500 doctors. That's 10,000 hours per month lost to internal searches. The documented Suzano case with Google Gemini reduced this time by 95%.

How the agent works

Internal documentation ingestion Protocols, clinical guidelines, regulations, drug data sheets
Secure role-based access Each professional sees only information within their clinical scope
Answers with cited sources Minimises hallucinations: always cites the source document with page number

Measurable results

95% Reduction in internal search time
<30s Average response time
100% Answers with cited source
Analogous case: Suzano reduced internal information query time by 95% for 50,000 employees using a similar agent with Google Gemini. View case →
ISO 27001 GDPR ENS Alto On-Premise

Why Delbion for healthcare

Not just AI. AI designed for environments where errors have real consequences.

Human-in-the-loop by design

Our agents never make autonomous clinical decisions. They always assist, never decide. The clinician maintains full control.

End-to-end patient data encryption

All clinical data is encrypted in transit and at rest. We support 100% on-premise deployments where data cannot leave the hospital perimeter.

Complete and immutable audit trail

Every agent action is logged: what data it accessed, what it reasoned, what it recommended. Audit available for regulators at any time.

Specialised regulatory expertise

We know GDPR Art. 9, HIPAA, MDR, GCP ICH E6(R3), LOPDGDD. We don't need to learn your sector's regulatory framework — we already master it.

Integration with EHR and legacy systems

We connect with SAP, Epic, Cerner, proprietary EHRs and hospital legacy systems. The architecture adapts to your environment, not the other way around.

24/7 post-deployment monitoring

The work doesn't end at production. Our team continuously monitors performance, security and regulatory compliance.

Certifications and compliance frameworks

Built by experts.
Supervised by clinicians.
Protected by law.

The people behind every technical, clinical and regulatory decision.

Carlos Salgado, CEO Delbion
Involved
Carlos Salgado
CEO · Founder, Delbion

"We have spent years protecting critical infrastructures. Now we apply that same security rigour to Artificial Intelligence in healthcare."

ISO 27001 · Critical infrastructure
Jacobo, AI Agentic Expert
Technical
Jacobo
AI Agentic Expert

"We design agents that act with surgical precision: every decision is anchored to real data and every action is fully traceable."

Autonomous agents · Multi-agent architecture
Bryn Bennett, Strategic Advisor GTM
Strategy
Bryn Bennett
Strategic Advisor · GTM

"Taking AI to the healthcare market requires more than technology: it requires trust, credibility and a go-to-market strategy that resonates with clinical decision-makers."

Go-to-market · Commercial strategy · Digital health
Pablo Navarro, Chief Medical Officer
Clinical
Pablo Navarro
Chief Medical Officer · Lead Clinical Advisor

"Delbion's technology understands the reality of an ER bay. The agents assist with pinpoint precision, but the final clinical judgement always belongs to the specialist."

Human-in-the-loop · Patient safety
Aine Vidal, Data Protection Officer
Legal
Aine Vidal
Data Protection Officer · Compliance Lead

"We design the architecture assuming the maximum regulatory risk level. Complying with GDPR, HIPAA and ENS Alto is not an option — it's our standard from the very first line of code."

GDPR Art. 9 · HIPAA · ENS Alto
Paul Godzinski, Chief Technology Officer
Technical
Paul Godzinski
Chief Technology Officer · Head of AI

"Our RAG models are deterministic. If the AI cannot find the exact answer in your clinical or official protocols, it doesn't invent one. It only cites auditable truths."

RAG with source-anchored answers and full traceability (citations + audit). · Minimal hallucinations

Frequently asked questions: AI in Healthcare

No. Our agents are designed with the human-in-the-loop principle: they assist, inform and recommend, but the final clinical decision always rests with the healthcare professional. This is a legal requirement in most cases (MDR, AI Act) and a non-negotiable ethical principle.

Completely flexible: private cloud in the EU (GDPR compliant), hybrid infrastructure, or 100% on-premise within the hospital perimeter. For special category data (GDPR Art. 9), we recommend on-premise or sovereign cloud. Patient data never leaves the defined jurisdiction.

The agent always operates within the existing legal basis (healthcare, art. 9.2.h GDPR). If the use case requires additional consent (e.g. use of data for system improvement), we integrate digital consent collection and management directly into the agent's workflow, with an auditable record.

This is the most important risk and the one we control most rigorously. We use RAG (Retrieval Augmented Generation) architecture: the agent can only respond based on official documentation that you provide (protocols, clinical guidelines, data sheets). It always cites the source with document number and page. If it cannot find the answer in the authorised sources, it explicitly says so rather than inventing one.

We have a documented incident response plan specific to special category data. In the event of a breach: automatic containment within minutes, notification to your DPO within 2 hours, and support for supervisory authority notification within the 72-hour legal deadline. All forensic evidence is preserved in the immutable audit trail.

AI systems in the healthcare domain are classified as high risk under the AI Act (Annex III). We design our agents meeting high-risk system requirements: documented risk management, verifiable robustness and accuracy, integrated human oversight, transparency about capabilities and limitations, and registration in the EU database where applicable.

Ready to automate with security in healthcare?

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AI Agents for Healthcare
Analysis of your specific use case
Realistic ROI estimation
Compliance gap mapping
Technical proposal within 5 business days
info@delbion.com
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