ReviewJAMIA open2025
Advancing methodological development of artificial intelligence in patient-centered comparative clinical effectiveness research: Patient-Centered Outcomes Research Institute's unique contribution to research done differently.
Review in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Recent advancements of Artificial Intelligence (AI) are rapidly transforming clinical research. While this technology offers exciting opportunities, it amplifies existing concerns regarding the need for transparent methodology that fosters patient engagement, and introduces new challenges. PCORI's Improving Methods portfolio has invested in methodological research to enhance rigor and transparency via patient-centered approaches in AI. Objective: This commentary outlines PCORI's approach to funding and promoting a portfolio of methodological research that aims to improve the conduct of patient-centered comparative clinical effectiveness research (CER), with a focus on AI methods. The paper highlights a growing portfolio of over 40 AI related projects, including a recent cohort leveraging large language models to augment research processes in CER. Discussion: PCORI's current portfolio of methods projects in AI illustrate timely opportunities for the clinical research informatics community to develop and assess AI applications that will further advance a robust, interoperable and ethical infrastructure for patient-centered CER. PCORI's requirement for ongoing, meaningful engagement of patients throughout the research lifecycle provides a blueprint for patient-centered AI by developing and applying models and methods designed to create value for patients and other healthcare partners.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.