ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017
Secondary Use of Patients' Electronic Records (SUPER): An Approach for Meeting Specific Data Needs of Clinical and Translational Researchers.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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.
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- A method to enable clinical and translational research teams with custom real-world data from electronic health record systems.Journal of clinical and translational science · 2026Article
- LinkingLearning health systems · 2025Article
- Validation of theCirculation. Cardiovascular quality and outcomes · 2023Article
- Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records.Journal of affective disorders reports · 2022Article
- Assessing mortality differences across acute respiratory failure management strategies in Covid-19.Journal of critical care · 2022Article
- Indications for Hospitalization in Children with SARS-CoV-2 Infection during the Omicron Wave in New York City.Children (Basel, Switzerland) · 2022Article
- An architecture for research computing in health to support clinical and translational investigators with electronic patient data.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Comparing automated vs. manual data collection for COVID-specific medications from electronic health records.International journal of medical informatics · 2022Article
- The Safety of Continuous Infusion Propofol in Mechanically Ventilated Adults With Coronavirus Disease 2019.The Annals of pharmacotherapy · 2022Article
- Hyperglycemia in acute COVID-19 is characterized by insulin resistance and adipose tissue infectivity by SARS-CoV-2.Cell metabolism · 2021Article
- A Comparative Analysis of the Respiratory Subscore of the Sequential Organ Failure Assessment Scoring System.Annals of the American Thoracic Society · 2021Article
- Identifying organ dysfunction trajectory-based subphenotypes in critically ill patients with COVID-19.Scientific reports · 2021Article
- Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data.Journal of biomedical informatics · 2021Article
- Multivariate analysis of CT imaging, laboratory, and demographical features for prediction of acute kidney injury in COVID-19 patients: a Bi-centric analysis.Abdominal radiology (New York) · 2021Article
- Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation.Journal of psychiatric research · 2021Article
- COVID-19 Severity and Outcomes in Patients With Cancer: A Matched Cohort Study.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020Article
- Brain Imaging of Patients with COVID-19: Findings at an Academic Institution during the Height of the Outbreak in New York City.AJNR. American journal of neuroradiology · 2020Article
- A Method to Improve Availability and Quality of Patient Race Data in an Electronic Health Record System.Applied clinical informatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Academic medical centers commonly approach secondary use of electronic health record (EHR) data by implementing centralized clinical data warehouses (CDWs). However, CDWs require extensive resources to model data dimensions and harmonize clinical terminology, which can hinder effective support of the specific and varied data needs of investigators. We hypothesized that an approach that aggregates raw data from source systems, ignores initial modeling typical of CDWs, and transforms raw data for specific research purposes would meet investigator needs. The approach has successfully enabled multiple tools that provide utility to the institutional research enterprise. To our knowledge, this is the first complete description of a methodology for electronic patient data acquisition and provisioning that ignores data harmonization at the time of initial storage in favor of downstream transformation to address specific research questions and applications.
Indexed as
Identifiers
29854228PMC5977622What 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.