ArticleLearning health systems2025
Achieving an Intelligent HealthScience System: Aligning science, health, business, policy and technology for patients and society.
Article in Learning health systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Achieving an Intelligent HealthScience System: Aligning science, health, business, policy and technology for patients and society.Learning health systems · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: All societies benefit from a healthy population, and access to affordable, quality, evidence-based medical care can improve health, productivity, and prosperity for all. Two decades ago, experts and stakeholders met at the Institute of Medicine and called for a "new health system for the 21st century." More recently, efforts have been made to achieve a Learning Health System (LHS). Still, reform efforts in the United States have only marginally succeeded in improving the situation despite innovation, technology, enormous economic resources, and one of the strongest medical research endeavors in the world. Objectives: To bring together diverse stakeholders in healthcare, science, technology, business, government and patient advocacy, to envision what lies beyond the so-called Learning Health System approach. Methods: In December 2022, the SYNERGY Forum was hosted by the National Academy of Medicine, convened in Washington, DC. This envisioning exercise, the first in a planned series of such events, was proposed and organized by the global non-profit Alliance for Clinical Research Excellence and Safety (ACRES). The two-day exercise combined didactic lectures on systems thinking, focused working-groups, and interactive discussion, to create a vision for an integrated Intelligent HealthScience System (IHSS). Results: The participants proposed creation of a platform and an engine of People, Processes, Policy, and Technology to design and realize this vision through an effective hard and soft systems approach. Conclusions: This report captures what the multi-stakeholder collaboration recommends toward achieving such a System and a proposal for continuation of a SYNERGY Forum to further advance needed change and a design process.
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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.