Healthcare & Pharmaceuticals
Accelerate Medical Innovation with Data & AI
With data science and machine learning, improve diagnostic accuracy, detect diseases earlier, accelerate research into new treatments, and personalise care pathways.
OUR SOLUTIONS
Key issues in Health & Pharmaceuticals
The healthcare and pharmaceutical sector must combine quality care, therapeutic innovation and strict regulatory constraints. In a context marked by increasing volumes of medical data and increasingly complex treatments, AI offers powerful levers to meet these challenges.
Diagnostic accuracy
Healthcare professionals must improve the reliability of diagnoses by utilising all available data (imaging, patient records, biological data).
Efficiency and healthcare costs
Personalising care and optimising patient pathways enables resources to be better targeted and avoidable costs to be reduced.
Therapeutic innovation
Genomic data analysis and AI-assisted research are accelerating the discovery of new molecules and treatments.
Regulatory compliance and safety
The protection of medical data and compliance with standards (GDPR, HIPAA, MDR) are essential conditions for any innovation.
OUR SOLUTIONS
Key Use Cases for AI in
Healthcare & Pharmaceuticals
01
AI-assisted diagnosis
Using medical imaging and NLP on patient records to assist doctors in detecting abnormalities and improving diagnostic accuracy.
02
Early detection of diseases
Development of predictive models to identify weak signals in order to take action before advanced clinical symptoms appear.
03
Computer vision-assisted quality control
Leveraging big data to accelerate biomedical research, identify new therapeutic targets, and develop personalised treatments.
04
Monitoring and personalisation of care pathways
AI solutions to tailor treatments to patient profiles, monitor progress in real time and improve treatment adherence.
OUR SOLUTIONS
Benefits for Your Business
Choosing HAXAN for your data and AI projects in the banking and insurance sector means transforming your regulatory constraints and data volumes into real drivers of performance, security and customer trust.
Enhancing security and ensuring compliance
Financial institutions must meet increasingly stringent regulatory standards (AML, GDPR, Solvency II). Our solutions guarantee the protection of sensitive data while facilitating compliance. This approach reduces legal risks and preserves the reputation of institutions with their customers and regulatory authorities.
Reducing financial losses and controlling risks
Fraud and payment defaults are constant threats. With our real-time detection models and credit scoring optimisation, your teams can identify anomalies more quickly, limit losses and strengthen the robustness of your asset portfolio.
Improve operational efficiency and profitability
The implementation of predictive models and the automation of complex processes accelerate decision-making, reduce processing time and improve team productivity. This increased efficiency translates into a measurable return on investment within the first few months of deployment.
Optimise the customer experience and increase loyalty
Customer satisfaction is based on personalised services and a relationship of trust. Predictive behavioural analysis makes it possible to anticipate needs, reduce churn and offer tailored solutions. AI is thus becoming a strategic tool for strengthening loyalty and achieving lasting differentiation in a competitive market.
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Healthcare & Pharmaceuticals
Our Support Methodology
To discover how our solutions are transforming medical research and practice while meeting the most demanding standards :
In the healthcare and pharmaceutical sectors, every project must meet rigorous scientific, ethical and regulatory compliance standards. At HAXAN, we have developed a specific methodology designed to support healthcare professionals, laboratories and researchers in their data and AI projects, guaranteeing security and efficiency.
1. Medical and regulatory audit and scoping
We begin by analysing your medical and scientific data (imaging, patient records, clinical data, genomics). This phase also includes identifying priority use cases (assisted diagnosis, early detection, personalised care) and strictly adhering to applicable standards such as GDPR, HIPAA and MDR. The aim is to build a clear roadmap that complies with industry requirements.
2. Deployment of compliant and secure AI solutions
Our teams develop and train AI models tailored to your challenges: assisted diagnosis, genomic analysis, clinical research, or patient monitoring. Integration is carried out directly into your hospital systems, research platforms, or business solutions, with absolute priority given to data security, patient confidentiality, and interoperability with your existing tools.
3. Monitoring, clinical validation & continuous improvement
Once the solutions are in production, we monitor them in real-world conditions using robust MLOps practices and clinical validation protocols. The models are regularly recalibrated to adapt to new medical data, feedback from practitioners and regulatory changes. We also support your medical teams to facilitate adoption and ensure the sustainable and ethical use of the tools deployed.