ArticleEGEMS (Washington, DC)2014
The DARTNet Institute: Seeking a Sustainable Support Mechanism for Electronic Data Enabled Research Networks.
Article in EGEMS (Washington, DC), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Learning health systems using data to drive healthcare improvement and impact: a systematic review.BMC health services research · 2021Pooled it
- Study protocol for "Healthy Hearts Northwest": a 2 × 2 randomized factorial trial to build quality improvement capacity in primary care.Implementation science : IS · 2016Trial
- Opportunities and Challenges in Using National EHR Networks for AI in Learning Health Systems.Learning health systems · 2026Article
- Primary Care EHR data on Social Determinants of Health: Quality and Fitness for Purpose in Precision/Personalised Medicine.Yearbook of medical informatics · 2024Article
- A national unmet needs assessment for CTSA-affiliated electronic health record data networks: A customer discovery approach.Journal of clinical and translational science · 2024Article
- Patterns of care in the management of high-risk COPD in the US (2011-2019): an observational study for the CONQUEST quality improvement program.Lancet regional health. Americas · 2023Article
- Article
- Applying a Commercialization-Readiness Framework to Optimize Value for Achieving Sustainability of an Electronic Health Data Research Network and Its Data Capabilities: The SAFTINet Experience.EGEMS (Washington, DC) · 2019Article
- Use of an electronic health record data sharing system for identifying current contraceptive use within the WWAMI region Practice and Research Network.Contraception · 2018Article
- Exploring completeness in clinical data research networks with DQe-c.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Extracting Deep Phenotypes for Chronic Kidney Disease Using Electronic Health Records.EGEMS (Washington, DC) · 2017Article
- DQEGEMS (Washington, DC) · 2017Article
- Bringing it home: expanding the local reach of dissemination and implementation training via a university-based workshop.Implementation science : IS · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
contextClinical data research networks require large investments in infrastructure support to maintain their abilities to extract, transform, and load data from varied data sources, expand electronic data sources and develop learning communities. CASE DESCRIPTION: This paper outlines a sustainable business model of ongoing infrastructure support for clinical data research activities. The DARTNet Institute is a not-for-profit 501(c)(3) organization that serves as a support entity for multiple practice-based research networks. Several clinical data research networks working closely with a professional society began collaborating to support shared goals in 2008. This loose affiliation called itself the "DARTNet Collaborative." In 2011, the DARTNet Institute incorporated as an independent, not-for-profit entity. The business structure allows DARTNet to advocate for all partners without operating its own practice-based research network, serve as a legal voice for activities that overlap multiple partners, share personnel resources through service contracts between partners, and purchase low-cost (nonprofit rate) software. MAJOR THEMES: DARTNet's business model relies upon four diverse sources of revenue: (1) DARTNet licenses and provides access to a propriety software system that extracts, transforms, and loads data from all major electronic health records (EHRs) utilized in the United States, and which also provides clinical decision support for research studies; (2) DARTNet operates a recognized, national professional-society-quality improvement registry that enables organizations to fulfill Meaningful Use 2 criteria; (3) DARTNet provides access to data for research activities that are funded by direct research dollars, provided at prices that generate excess revenue; and (4) DARTNet provides access to large primary care datasets for observational studies and pregrant analyses such as for sample size development. The ability of the system to support pragmatic trials will be described.
conclusionThe DARTNet model facilitates the use of direct grant dollars to generate revenue to support the overall enterprise through a purchased services arrangement. Other services provided through subcontracting provide facilities and administration fees as well as direct dollars to support the system. The flexibility of the business model overcomes the complicated financial arrangements and governance requirements of many professional associations and academic medical centers.
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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.