ArticleLearning health systems2025
The Academic Community Early Psychosis Intervention Network: Toward building a novel learning health system across six US states.
Article in Learning health systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07713849 (Adapting and Improving Transition Care for First Episode Psychosis), which is not on this map. Cited by 5 papers.
What it found
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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.
Adapting and Improving Transition Care for First Episode Psychosis
Who cites it
5 citing papers in PubMed.
- Psychiatric Hospitalization After Enrollment in Coordinated Specialty Care: Unexpected Gender- and Age-Related Disparities.Schizophrenia bulletin · 2026Article
- Psychiatric Hospitalization After Enrollment in Coordinated Specialty Care: Unexpected Gender and Age Related Disparities.medRxiv : the preprint server for health sciences · 2025Article
- The Academic Community Early Psychosis Intervention Network: Toward building a novel learning health system across six US states.Learning health systems · 2025Article
- Four distinct models of learning health systems: Strength through diversity.Learning health systems · 2025Article
- Forging a learning health system for early psychosis: Insights from the academic community EPINET.Schizophrenia research · 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
13 authors.
Funding
Abstract
Introduction: Compared to usual care, specialty services for first-episode psychosis (FES) have superior patient outcomes. The Early Psychosis Intervention Network (EPINET), comprised of eight U.S. regional clinical networks, aims to advance the quality of FES care within the ethos of learning healthcare systems (LHS). Among these, the Academic Community (AC) EPINET was established to provide FES care, collect common data elements, leverage informatics, foster a culture of continuous learning and quality improvement, and engage in practice-based research. Methods: We designed and implemented a novel LHS of university-affiliated FES programs within a hub (academic leadership team) and spoke (FES clinics) model. A series of site implementation meetings engaged stakeholders, setting the stage for a culture that values data collection and shared learning. We built clinical workflows to collect common data elements at enrollment and at consecutive 6-month intervals in parallel to an informatics workflow to deliver outcome visualizations and drive quality improvement efforts. Results: All six clinical sites successfully implemented data capture workflows and engaged in the process of designing the informatics platform. Upon developing the structure, processes, and initial culture of the LHS, a total of 614 patients enrolled in AC-EPINET, with the most common primary diagnoses of schizophrenia (32.1%) and unspecified psychotic disorders (23.6%). Visualized outcomes were delivered to clinical teams who began to consider locally relevant quality improvement projects. Conclusions: AC-EPINET is a novel LHS, with a simultaneous focus on science, informatics, incentives, and culture. The work of developing AC-EPINET thus far has highlighted the need for future LHS' to be mindful of the complexities of data security issues, develop more automated informatic workflows, resource quality assurance efforts, and attend to building the cultural infrastructure with the input of all stakeholders.
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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.