ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2021
Design and development of an informatics-driven implementation research framework for primary care studies.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2021. 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.
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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.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interventions and contextual factors to improve retention in care for patients with hypertension in primary care: Hermeneutic systematic review.Preventive medicine · 2024Pooled it
- Leveraging machine learning approach to identify relationships between practice facilitation strategies and practice characteristics based on the implementation research logic model.Implementation science communications · 2025Article
- Predicting mortality in critically ill patients with hypertension using machine learning and deep learning models.Frontiers in cardiovascular medicine · 2025Article
- The collaborations among healthcare systems, research institutions, and industry on artificial intelligence research and development.Frontiers in artificial intelligence · 2025Article
- Using shared clinical decision support to reduce adverse drug events and improve patient safety.Frontiers in digital health · 2025Review
- Community-Based Participatory Research and System Dynamics Modeling for Improving Retention in Hypertension Care.JAMA network open · 2024Article
- Transforming and facilitating health care delivery through social networking platforms: evidences and implications from WeChat.JAMIA open · 2024Review
- Multimodal Data Hybrid Fusion and Natural Language Processing for Clinical Prediction Models.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- The Roles of Electronic Health Records for Clinical Trials in Low- and Middle-Income Countries: Scoping Review.JMIR medical informatics · 2023Article
- Implications for implementation and adoption of telehealth in developing countries: a systematic review of China's practices and experiences.NPJ digital medicine · 2023Review
- Leveraging natural language processing and geospatial time series model to analyze COVID-19 vaccination sentiment dynamics on Tweets.JAMIA open · 2023Article
- Examining the impact of sex differences and the COVID-19 pandemic on health and health care: findings from a national cross-sectional study.JAMIA open · 2022Article
- Identifying Contextual Factors and Strategies for Practice Facilitation in Primary Care Quality Improvement Using an Informatics-Driven Model: Framework Development and Mixed Methods Case Study.JMIR human factors · 2022Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The digitalization of the healthcare systems has resulted in a deluge of big data and has prompted the rapid growth of data science in medicine. Many informatics tools, such as data science, which is the field of study dedicated to the principled extraction of knowledge from complex data, can also introduce benefits into implementation science, quality improvement (QI), and primary care research. The increased amount of primary care QI initiatives, availability of practice facilitation-related data, the need for better evidence-based care, and the complexity of challenges make the use of data science techniques and data-driven research particularly appealing to primary care. Recent advances in the usability, applicability, and interpretability of data science models offer promising applications to implementation science. Despite the increasing number of studies and publications in the field, thus far there have been few examples of combining informatics and implementation framework to facilitate primary care studies. We designed and developed an informatics-driven implementation research framework to provide a coherent rationale and justification of the complex interrelationships among features, strategies, and outcomes. The proposed framework is a principle-guided tool designed to improve the specification, reproducibility, and testable causal pathways involved in implementation research projects in primary care settings.
Indexed as
Identifiers
35308925PMC8861697What 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.