Evidence map›Paper›PMID 41502075›Full record

ArticleInternational journal of technology assessment in health care2026

Advancing the use of artificial intelligence in health technology assessment activities: insights and next steps from the 2025 HTAi Global Policy Forum.

Rebecca Trowman, Meindert Boysen, Antonio Migliore, George Valiotis

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Beyond efficiency: reimagining health technology assessment in the age of artificial intelligence.International journal of technology assessment in health care · 2026
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rebecca TrowmanHealth Technology Assessment International, Canada.
Meindert BoysenHealth Technology Assessment International, Canada.
Antonio MiglioreHealth Technology Assessment International, Canada.ORCID https://orcid.org/0000-0003-1984-0803
George ValiotisHealth Technology Assessment International, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of Artificial Intelligence (AI) in Health Technology Assessment (HTA) activities presents an opportunity to enhance the efficiency, accuracy, and speed of HTA processes worldwide. However, the adoption of AI tools in HTA comes with diverse challenges and concerns that must be carefully managed to ensure their responsible, ethical, and effective deployment. The 2025 Health Technology Assessment international Global Policy Forum (GPF) informed GPF members of the integration of AI into HTA activities, with a particular focus on the use of Generative AI (GenAI). With the overarching goal of illuminating and inspiring tangible outputs and actionable recommendations, the event brought together a diverse range of interest holders to explore the opportunities and challenges of AI in HTA. This article summarizes the key discussions and themes that informed the GPF outcomes, including trust, human agency, and risk-based approaches, culminating in a proposed set of priority next steps for the HTA community regarding the integration of GenAI. It also highlights insights into the current state of digital transformation within HTA organizations and the life sciences industry, providing insights into where the field stands and where it is heading.

Indexed as

Artificial IntelligenceTechnology Assessment, BiomedicalGenerative Artificial IntelligenceHealth PolicyHumansTrustAI integrationbiasdata privacyethicsgenerative artificial intelligencehealthcare systemshealth technology assessmentHTAihuman agencylarge language modelspolicytrust

Identifiers

PMID41502075
PMCPMC12826860

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.