Data class and risk
Public, internal, sensitive, or health data
Separate productivity use, decision support, and work with confidential information before selecting a tool.
Digital health · Responsible AI · Societal value
Responsible AI that creates safe value in healthcare.
André Hartmann · clinical experience, appraisal, and implementation
I can contribute where healthcare, technology, and decisions meet: evaluating AI solutions, connecting them to workflow, measuring impact, and building decision support that fits regulation, staffing, and practice.
- 10+
- years in clinical healthcare
- 45+
- colleagues guided in practical AI use
- EU-HEM
- health economics and management
- Societal value
- impact, prioritisation, and resource use
In short
Healthcare experience.AI that works.Analysis built for decisions.
My strength is translating between professional practice, methods, technology, and operations. That makes the profile relevant for public health agencies, pharmaceutical companies, consultancies, and organizations implementing AI responsibly.
Clinical insight · AI implementation · Societal value · Market access
AI in practice
The right AI for the right risk.
In public-sector and healthcare settings, it is not enough that a tool works. It has to fit the data class, operating model, regulation, professional control, and workflow. I am tool-agnostic: the work is to evaluate, choose, and make approved AI solutions useful in practice.
Hosting and supplier model
Local, Norwegian, European, private cloud, or approved SaaS
Assess where data is processed, who has access, what agreements are needed, and what the organization can actually operate.
Workflow and control
Human oversight, source requirements, and professional responsibility
Make AI useful without weakening traceability, quality, professional accountability, or trust among citizens and staff.
Value and implementation
Impact, resource use, training, and scaling
Measure whether the solution actually saves time, improves quality, or supports better decisions before broad rollout.
The point is not the logo on the tool. The point is connecting person, task, data, risk, and responsibility in a way that creates safe value.
Where the profile fits
Built for roles where health systems, technology, and value meet.
For employers, the question is fit: can this profile connect strategy, domain knowledge, and execution in your environment?
- 01
Public health and government
I can contribute to AI, citizen-facing services, waiting times, workforce capacity, task sharing, public-sector appraisal, and societal value.
- Public-sector appraisal
- Societal value
- Service development
- 02
Evidence, prioritisation, and market access
I connect clinical evidence, health technology assessment, prioritisation, and value demonstration with pharmaceutical industry context and Norwegian decision-making practice.
- HTA
- Market access
- Value demonstration
- 03
Responsible AI in regulated settings
I make AI useful through workflows, source validation, professional review, and training that fit how people actually work.
- Workflows
- Source control
- Implementation
Proof
What employers get
Clinical healthcare · EU-HEM · Public-sector appraisal · Practical AI coaching · Market access
See selected work- A profile that can translate between clinical practice, technology, economics, and decisions.
- Clinical credibility from more than a decade in healthcare, across disciplines and countries.
- AI expertise focused on workflows, quality, source control, and responsible use, not only tools.
- Understanding of prioritisation, resource use, societal value, market access, and implementation in health systems.
Technology becomes valuable when it fits the work, responsibility, and decisions it is meant to support.
Contact
Get in touch
For relevant roles, conversations, or collaboration across digital health, AI, market access, public-sector appraisal, or evidence-based implementation.