PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model
| العنوان: | PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model |
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| المؤلفون: | Vivek A. Rudrapatna, Rick Larsen, Bethany Percha, Marcus A. Badgeley, Nelson Lee, Riccardo Miotto, Benjamin S. Glicksberg, Nicholas P. Tatonetti, Kipp W. Johnson, Nadav Rappoport, Remi Frazier, Li Li, Nicholas Giangreco, Boris Oskotsky, Eugenia Rutenberg, Theodore C. Goldstein, Debajyoti Datta, Mark M. Shervey, Phyllis M. Thangaraj, Joel T. Dudley, Atul J. Butte, Sharat Israni |
| المساهمون: | Wren, Jonathan |
| المصدر: | Bioinformatics (Oxford, England), vol 35, iss 21 Bioinformatics |
| بيانات النشر: | eScholarship, University of California, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Statistics and Probability, 020205 medical informatics, Databases, Factual, Relational database, Computer science, Bioinformatics, Interoperability, Bioengineering, 02 engineering and technology, Biochemistry, Mathematical Sciences, Domain (software engineering), World Wide Web, 03 medical and health sciences, Databases, 0302 clinical medicine, Clinical Research, Information and Computing Sciences, 0202 electrical engineering, electronic engineering, information engineering, Humans, Electronic Health Records, 030212 general & internal medicine, Molecular Biology, Factual, Computers, Construct (python library), Biological Sciences, Applications Notes, 3. Good health, Computer Science Applications, Visualization, Computational Mathematics, Observational Studies as Topic, Clinical research, Networking and Information Technology R&D, Good Health and Well Being, Computational Theory and Mathematics, Sandbox (software development), Patient Safety, Generic health relevance, Data and Text Mining, Software |
| الوصف: | Author(s): Glicksberg, Benjamin S; Oskotsky, Boris; Thangaraj, Phyllis M; Giangreco, Nicholas; Badgeley, Marcus A; Johnson, Kipp W; Datta, Debajyoti; Rudrapatna, Vivek A; Rappoport, Nadav; Shervey, Mark M; Miotto, Riccardo; Goldstein, Theodore C; Rutenberg, Eugenia; Frazier, Remi; Lee, Nelson; Israni, Sharat; Larsen, Rick; Percha, Bethany; Li, Li; Dudley, Joel T; Tatonetti, Nicholas P; Butte, Atul J | Abstract: MotivationElectronic health records (EHRs) are quickly becoming omnipresent in healthcare, but interoperability issues and technical demands limit their use for biomedical and clinical research. Interactive and flexible software that interfaces directly with EHR data structured around a common data model (CDM) could accelerate more EHR-based research by making the data more accessible to researchers who lack computational expertise and/or domain knowledge.ResultsWe present PatientExploreR, an extensible application built on the R/Shiny framework that interfaces with a relational database of EHR data in the Observational Medical Outcomes Partnership CDM format. PatientExploreR produces patient-level interactive and dynamic reports and facilitates visualization of clinical data without any programming required. It allows researchers to easily construct and export patient cohorts from the EHR for analysis with other software. This application could enable easier exploration of patient-level data for physicians and researchers. PatientExploreR can incorporate EHR data from any institution that employs the CDM for users with approved access. The software code is free and open source under the MIT license, enabling institutions to install and users to expand and modify the application for their own purposes.Availability and implementationPatientExploreR can be freely obtained from GitHub: https://github.com/BenGlicksberg/PatientExploreR. We provide instructions for how researchers with approved access to their institutional EHR can use this package. We also release an open sandbox server of synthesized patient data for users without EHR access to explore: http://patientexplorer.ucsf.edu.Supplementary informationSupplementary data are available at Bioinformatics online. |
| وصف الملف: | application/pdf |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f66036d7ed0dd6ff08dde309a36c9360 https://escholarship.org/uc/item/9qq756t2 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....f66036d7ed0dd6ff08dde309a36c9360 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |