ArticleIEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society2012
Context-based electronic health record: toward patient specific healthcare.
Article in IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses 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
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Toward an Interdisciplinary Approach to Constructing Care Delivery Pathways From Electronic Health Care Databases to Support Integrated Care in Chronic Conditions: Systematic Review of Quantification and Visualization Methods.Journal of medical Internet research · 2023Pooled it
- Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis.Journal of the American Medical Informatics Association : JAMIA · 2015Pooled it
- Physicians' Perceptions of Information Quality and Access in a New Cross-Institutional Electronic Health Record (EHR) System: Mixed Methods Design.JMIR formative research · 2026Article
- Pharmacogenetics Clinical Decision Support Systems for Primary Care in England: Co-Design Study.Journal of medical Internet research · 2024Article
- Impact of the Lightwave Health Information Management Software on the Dimensions of Quality of Healthcare Data.Healthcare informatics research · 2024Article
- Patient Information Summarization in Clinical Settings: Scoping Review.JMIR medical informatics · 2023Article
- Semantically oriented EHR navigation with a patient specific knowledge base and a clinical context ontology.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- A Perioperative Care Display for Understanding High Acuity Patients.Applied clinical informatics · 2021Article
- Formal representation of patients' care context data: the path to improving the electronic health record.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- User-Centered Clinical Display Design Issues for Inpatient Providers.Applied clinical informatics · 2020Article
- What You Need to Know Before Implementing a Clinical Research Data Warehouse: Comparative Review of Integrated Data Repositories in Health Care Institutions.JMIR formative research · 2020Review
- TRANSLATOR Database-A Vision for a Multi-Institutional Research Network.Topics in companion animal medicine · 2019Article
- Patient information organization in the intensive care setting: expert knowledge elicitation with card sorting methods.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- How Do Experienced Physicians Access and Evaluate Laboratory Test Results for the Chronic Patient? A Qualitative Analysis.Applied clinical informatics · 2018Article
- Electronic Health Records: Then, Now, and in the Future.Yearbook of medical informatics · 2016Review
- Evaluating topic model interpretability from a primary care physician perspective.Computer methods and programs in biomedicine · 2016Article
- Automated methods for the summarization of electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2015Review
- Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
- Content-based image retrieval for brain MRI: an image-searching engine and population-based analysis to utilize past clinical data for future diagnosis.NeuroImage. Clinical · 2015Article
- Use of expert relevancy ratings to validate task-specific search strategies for electronic medical records.JMIR medical informatics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Due to the increasingly data-intensive clinical environment, physicians now have unprecedented access to detailed clinical information from a multitude of sources. However, applying this information to guide medical decisions for a specific patient case remains challenging. One issue is related to presenting information to the practitioner: displaying a large (irrelevant) amount of information often leads to information overload. Next-generation interfaces for the electronic health record (EHR) should not only make patient data easily searchable and accessible, but also synthesize fragments of evidence documented in the entire record to understand the etiology of a disease and its clinical manifestation in individual patients. In this paper, we describe our efforts toward creating a context-based EHR, which employs biomedical ontologies and (graphical) disease models as sources of domain knowledge to identify relevant parts of the record to display. We hypothesize that knowledge (e.g., variables, relationships) from these sources can be used to standardize, annotate, and contextualize information from the patient record, improving access to relevant parts of the record and informing medical decision making. To achieve this goal, we describe a framework that aggregates and extracts findings and attributes from free-text clinical reports, maps findings to concepts in available knowledge sources, and generates a tailored presentation of the record based on the information needs of the user. We have implemented this framework in a system called Adaptive EHR, demonstrating its capabilities to present and synthesize information from neurooncology patients. This paper highlights the challenges and potential applications of leveraging disease models to improve the access, integration, and interpretation of clinical patient data.
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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.