A selection of applied work across public health, data and digital transformation. The examples are described at a public and aggregate level, focused on the problem, contribution and practical result.

Public health planning Data and BI Digital processes Governed AI
01

Public health planning

Health Situation Diagnosis and Municipal Health Planning

Population evidence structured to support local priorities and public-health planning decisions.

Focus
Indicators, territory, health needs and operational interpretation for public decision-making.
Result
A clearer working basis for local discussion without exposing personal or sensitive information.
Public health Planning Indicators
02

Programme monitoring

Screening Programme Dashboards

Monitoring views that make screening programmes easier to follow, prioritise and manage.

Focus
Prioritisation, exceptions, monitoring cadence and rapid performance interpretation.
Result
Less reliance on ad hoc analysis and better operational visibility.
Dashboards Screening Data
03

Surveillance and reporting

Digital Surveillance Bulletins

More consistent production of public-health bulletins and recurring communication products.

Focus
Data preparation, repeatable routines and clear public-health communication.
Result
Reduced manual work and greater consistency across periodic publications.
Surveillance Automation Reporting
04

Administrative digitalisation

Sanitary Pool Records

Moving paper-based administrative processes into records that are easier to consult and audit.

Focus
Administrative requirements, traceability, team adoption and document clarity.
Result
A more transparent workflow with less friction in record management.
GovTech Records Process
05

Care pathways

ICTUSnet and Pathway Coordination

Collaborative work around stroke pathways, shared information and coordination between teams.

Focus
Interoperability, response times, data quality and stakeholder alignment.
Result
A clearer shared frame for clinical, operational and technology decisions.
Pathways Interoperability Collaboration
06

Applied AI and data science

AI, NLP and GIS Prototypes

Practical exploration of AI, text processing and geospatial analysis in public-health problems.

Focus
Technical feasibility, operational usefulness, privacy, governance and human review.
Result
Clearer criteria for deciding which ideas should move from prototype to implementation.
AI NLP GIS Governance

How This Work Is Run

Decision clarity

Start with who decides, at what cadence, and which indicator changes action.

Realistic maintenance

Prefer solutions teams can update, explain and audit after launch.

Visible governance

Treat privacy, traceability and human accountability as design requirements.