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Associate Professor · President-Elect, IAHSI

Shaping how artificial intelligence enters health and social care.

I lead international research turning data, AI and intelligent management into better decisions, from the point of care to the executive board.

Explore the research → Read selected work
Laura-Maria Peltonen delivering a keynote
L-M Peltonen UEF · Turku
200+
Publications
3,300+
Citations · h-index 28
€10M+
Research funding, PI & co-PI

What I work on

Areas of expertise

01

AI & digital health

AI and digital tools for health and social care, from natural-language processing of clinical text to ambient voice technologies, multimodal AI and clinical decision support.

02

Health services & systems

Data-driven performance of care ecosystems: care pathways, patient safety, staffing and the personnel, patient and cost impacts of how services are organised.

03

Leadership & capacity building

Evidence-informed support for managers and first-line supervisors, leadership interventions that protect professionals' well-being, and building capacity through education, doctoral supervision and mentoring.

04

Health information & interoperability

Making health data flow and mean the same thing everywhere: common data models, standards, the European Health Data Space, and federated learning that trains AI without moving the data.

05

Ethics, law & responsible evaluation

The ethical, legal and social implications (ELSI) of AI in care, and the rigorous, responsible evaluation technologies need before they reach patients and professionals.

06

Implementation & research-to-practice

Getting evidence into everyday care: how technologies are adopted, used and reinvented in real clinical work, and how to shorten the distance from research to practice.

Impact

Selected work

AI in nursing Journal of Advanced Nursing · 2021
460+ citations

Artificial intelligence in nursing: priorities and opportunities from an international invitational think-tank

An international expert think-tank, the Nursing & AI Leadership Collaborative, set the global agenda for how artificial intelligence should be developed and used in nursing. It remains one of the field's most-cited reference points.

Defined the priorities that now frame AI-in-nursing research worldwide.

Co-author · international think-tank Read the paper ↗
Evidence synthesis International Journal of Nursing Studies · 2022
360+ citations

Artificial intelligence-based technologies in nursing: a scoping review of the evidence

A systematic map of the evidence on AI-based technologies in nursing: what has been built, what it is for, how mature it is, and where the gaps lie, a starting point for researchers and developers entering the field.

The most comprehensive evidence map of AI technologies across nursing to date.

Senior author Read the paper ↗
Digital health sustainability Journal of the American Medical Informatics Association · 2022
100+ citations

Assessing the carbon footprint of digital health interventions: a scoping review

Digital health is often assumed to be 'green'. This review was among the first to ask what digital health interventions actually cost the planet, opening a new line of sustainability research in health informatics.

Put the environmental cost of digital health on the research map.

Senior author Read the paper ↗
Research integrity The Lancet · 2026
New in The Lancet

Fabricated citations: an audit across 2.5 million biomedical papers

A large-scale audit quantifying fabricated and erroneous citations across 2.5 million biomedical papers, a timely, high-profile contribution on research integrity in the age of AI.

Measured the scale of citation fabrication across the biomedical literature.

Senior author Read the paper ↗
Explore the interactive audit, CITADEL ↗
Federated learning International Journal of Medical Informatics · 2026
EU policy roadmap

A roadmap for federated learning projects using health data to guide sustainable AI development in the European Union

Federated learning lets institutions train AI on health data without ever moving it, but most work stops at the technical layer. This roadmap sets out how to run federated-learning projects on health data responsibly across the EU: the ethical, legal, technical and administrative groundwork, and the transdisciplinary collaboration that keeps them sustainable.

A practical, EU-ready roadmap for privacy-preserving health AI.

Senior author Read the paper ↗
AI & clinical competence Annals of Internal Medicine · 2026
New in Annals

The Deskilling Effect: Is Artificial Intelligence Eroding Clinical Competence?

As clinicians lean on AI for more of their decisions, do their own skills quietly erode? Published in one of medicine's most influential journals, this piece names the deskilling risk and argues it must be measured, not assumed.

Put the deskilling risk of everyday clinical AI on the agenda.

Co-author Read the paper ↗

Funded research

Current projects

2026–2028

OPTIMISE

Optimising performance through integrated management and information solutions in social and health ecosystems

Research Council of Finland (Academy of Finland) 2024–2027

PROFIT

PRocedure Optimization and data-driven eFficiency Improvement in healthcare environmenTs

ITEA 4 · Business Finland 2025–2026

AGILE

Intelligent Leadership Interventions for Promoting Workforce Wellbeing

Finnish Work Environment Fund 2025–2027

INFORM

Impactful and cost-effective nursing care: Intelligent information management solutions to support first-line supervisors' leadership

State research funding (VTR)

Selected outputs

Recent publications

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