ArticleJCO clinical cancer informatics2020
Electronic Medical Record Search Engine (EMERSE): An Information Retrieval Tool for Supporting Cancer Research.
Article in JCO clinical cancer informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
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- Characterization of undifferentiated carcinomas of the pancreas with and without osteoclast-like giant cells.JNCI cancer spectrum · 2025Article
- Serious mental illness prolongs hospital admission following lung cancer resection.Journal of thoracic disease · 2024Article
- "The Truth Is, We Must Miss Some": A Qualitative Study of the Patient Eligibility Screening Process, and Automation Perspectives, for Cancer Clinical Trials.Cancer medicine · 2024Article
- Demographic and clinical characteristics of patients with metastatic breast cancer and leptomeningeal disease: a single center retrospective cohort study.Breast cancer research and treatment · 2024Article
- Allostatic Load/Chronic Stress and Cardiovascular Outcomes in Patients Diagnosed With Breast, Lung, or Colorectal Cancer.Journal of the American Heart Association · 2024Article
- Roles of Health Literacy in Relation to Social Determinants of Health and Recommendations for Informatics-Based Interventions: Systematic Review.Online journal of public health informatics · 2024Review
- BIR: Biomedical Information Retrieval System for Cancer Treatment in Electronic Health Record Using Transformers.Sensors (Basel, Switzerland) · 2023Article
- Clinical trial recruitment in primary care: exploratory factor analysis of a questionnaire to measure barriers and facilitators to primary care providers' involvement.BMC primary care · 2022Article
- Surgical Management of Rhabdomyosarcoma of the Nasal Cavity and Paranasal Sinuses: Analysis of Operative Indications, Settings, and Outcomes.Journal of neurological surgery. Part B, Skull base · 2022Article
- RUBY: Natural Language Processing of French Electronic Medical Records for Breast Cancer Research.JCO clinical cancer informatics · 2022Article
- Design, Implementation, and Usability of the Electronic Medical Record Search Engine (EMERSE) Tool.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Clinical concept recognition: Evaluation of existing systems on EHRs.Frontiers in artificial intelligence · 2022Article
- A Patient-Screening Tool for Clinical Research Based on Electronic Health Records Using OpenEHR: Development Study.JMIR medical informatics · 2021Article
- Informatics Tools for Cancer Research and Care: Bridging the Gap Between Innovation and Implementation.JCO clinical cancer informatics · 2020Article
- Clinical Delivery of Whole Systems Traditional Chinese Medicine and Impacts Upon Patient Reported Outcomes During IVF.Global advances in integrative medicine and healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
purposeThe Electronic Medical Record Search Engine (EMERSE) is a software tool built to aid research spanning cohort discovery, population health, and data abstraction for clinical trials. EMERSE is now live at three academic medical centers, with additional sites currently working on implementation. In this report, we describe how EMERSE has been used to support cancer research based on a variety of metrics.
methodsWe identified peer-reviewed publications that used EMERSE through online searches as well as through direct e-mails to users based on audit logs. These logs were also used to summarize use at each of the three sites. Search terms for two of the sites were characterized using the natural language processing tool MetaMap to determine to which semantic types the terms could be mapped.
resultsWe identified a total of 326 peer-reviewed publications that used EMERSE through August 2019, although this is likely an underestimation of the true total based on the use log analysis. Oncology-related research comprised nearly one third (n = 105; 32.2%) of all research output. The use logs showed that EMERSE had been used by multiple people at each site (nearly 3,500 across all three) who had collectively logged into the system > 100,000 times. Many user-entered search queries could not be mapped to a semantic type, but the most common semantic type for terms that did match was "disease or syndrome," followed by "pharmacologic substance."
conclusionEMERSE has been shown to be a valuable tool for supporting cancer research. It has been successfully deployed at other sites, despite some implementation challenges unique to each deployment environment.
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.