ArticleMedical care2012
Data model considerations for clinical effectiveness researchers.
Article in Medical care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Common data models and data standards for tabular health data: a systematic review.BMC medical informatics and decision making · 2025Pooled it
- A comparison of Fast Healthcare Interoperability Resources and Observational Medical Mutcomes Partnership electronic health record data within the All of Us Research Program.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets.Scientific data · 2025Article
- State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)-Based Data Model and Structure Implementations: Systematic Scoping Review.JMIR medical informatics · 2024Article
- OHDSI Standardized Vocabularies-a large-scale centralized reference ontology for international data harmonization.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Using A Standardized Nomenclature to Semantically Map Oncology-Related Concepts from Common Data Models to a Pediatric Cancer Data Model.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Establishing a National Cardiovascular Disease Surveillance System in the United States Using Electronic Health Record Data: Key Strengths and Limitations.Journal of the American Heart Association · 2022Article
- Constructing Epidemiologic Cohorts from Electronic Health Record Data.International journal of environmental research and public health · 2021Article
- Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study.JMIR medical informatics · 2021Article
- The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Generative transfer learning for measuring plausibility of EHR diagnosis records.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Clinical profile at diagnosis with youth-onset type 1 and type 2 diabetes in two pediatric diabetes registries: SEARCH (United States) and YDR (India).Pediatric diabetes · 2021Article
- Content Coverage Evaluation of the OMOP Vocabulary on the Transplant Domain Focusing on Concepts Relevant for Kidney Transplant Outcomes Analysis.Applied clinical informatics · 2020Article
- Relative Risk of Cervical Neoplasms Among Copper and Levonorgestrel-Releasing Intrauterine System Users.Obstetrics and gynecology · 2020Observational
- A federated EHR network data completeness tracking system.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- The Generalized Data Model for clinical research.BMC medical informatics and decision making · 2019Article
- Data Science for Child Health.The Journal of pediatrics · 2019Review
- Examining the Needs of Patient Stakeholders as Research Partners in Health Data Networks for Translational Research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Expanding transplant outcomes research opportunities through the use of a common data model.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2018Article
- Exploring completeness in clinical data research networks with DQe-c.Journal of the American Medical Informatics Association : JAMIA · 2018Article
Corrections and comments
- Commented on by
Authors and funding
3 authors.
Funding
Abstract
introductionGrowing adoption of electronic health records and increased emphasis on the reuse and integration of clinical care and administration data require a robust informatics infrastructure to inform health care effectiveness in real-world settings. The Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) was one of 3 projects receiving Agency for Healthcare Quality and Research funds to create a scalable, distributed network to support Comparative Effectiveness Research. SAFTINet's method of extracting and compiling data from disparate entities requires the use of a shared common data model. DATA MODELS: Focusing on the needs of CER investigators, in addition to other project considerations, we examined the suitability of several data models. Data modeling is the process of determining which data elements will be stored and how they will be stored, including their relationships and constraints. Addressing compromises between complexity and usability is critical to modeling decisions. CASE STUDY: The SAFTINet project provides the case study for describing data model evaluation. A sample use case defines a cohort of asthma subjects that illustrates the need to identify patients by age, diagnoses, and medication use while excluding those with diagnoses that may often be misdiagnosed as asthma. DISCUSSION: The SAFTINet team explored several data models against a set of technical and investigator requirements to select a data model that best fit its needs and was conducive to expansion with new research requirements. Although SAFTINet ultimately chose the Observation Medical Outcomes Partnership common data model, other valid options exist and prioritization of requirements is dependent upon many factors.
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.