A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model
[article]
2019
arXiv
pre-print
Preserved Fulltext
Methods: In this paper, we present the implementation of Cohort Retrieval Enhanced by Analysis of Text from EHRs (CREATE), a cohort retrieval system that can execute textual cohort selection queries on ...
Outcomes Partnership (OMOP) Common Data Model (CDM) to enhance model portability. ...
The work was supported by National Institutes of Health grants R01LM011934, R01EB19403, R01LM11829, and U01TR02062. ...
arXiv:1901.07601v1
fatcat:vacjcl23inamlapjlmwizb2clu
On Cohort Retrieval System from Clinical Data Repositories using OMOP Common Data Model: A Proof-of-Concept Implementation (Preprint)
2019
JMIR Medical Informatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
of Text from Electronic Health Records (CREATE). ...
In this paper, we present the implementation of a cohort retrieval system that can execute textual cohort selection queries on both structured data and unstructured text-Cohort Retrieval Enhanced by Analysis ...
The work was supported by the National Institutes of Health (grants R01LM011934, R01EB19403, R01LM11829, and U01TR02062). ...
doi:10.2196/17376
pmid:33021486
fatcat:jnr452ywrzbuhajeamukcb4aqi
Clinical Predictive Modeling Development and Deployment through FHIR Web Services
2015
AMIA Annual Symposium Proceedings
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The services enable model development using electronic health records (EHRs) stored in OMOP CDM databases and model deployment for scoring individual patients through FHIR resources. ...
In this paper we demonstrate a software architecture for developing and deploying clinical predictive models using web services via the Health Level 7 (HL7) Fast Healthcare Interoperability Resources ( ...
Acknowledgment This work was supported by the National Science Foundation, award #1418511, Children's Healthcare of Atlanta, CDC i-SMILE project, Google Faculty Award, AWS Research Award, and Microsoft ...
pmid:26958207
pmcid:PMC4765683
fatcat:54qcsk3xs5gbnejegb4zk7a5su
Transformation of Pathology Reports into the Common Data Model with Oncology Module: Use Case for Colon Cancer (Preprint)
2020
Journal of Medical Internet Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Common data models (CDMs) help standardize electronic health record data and facilitate outcome analysis for observational and longitudinal research. ...
recommended by the OMOP CDM. ...
text in electronic health record (EHR) systems. ...
doi:10.2196/18526
pmid:33295294
fatcat:4h74phpnivbebefswlbkogsnyq
Feasibility and utility of applications of the common data model to multiple, disparate observational health databases
2015
JAMIA Journal of the American Medical Informatics Association
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
Objectives To evaluate the utility of applying the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) across multiple observational databases within an organization and to apply ...
We developed a standardized analytic tool to replicate the cohort construction process from a published epidemiology protocol and applied the analysis to all 6 databases to assess time-to-execution and ...
Also, we thank Anton Ivonov and Alexey Arestenko for their programming and data management efforts associated with our OMOP CDMs and OMOP Vocabulary. ...
doi:10.1093/jamia/ocu023
pmid:25670757
pmcid:PMC4457111
fatcat:ri27i7xcbjc7ro5muglbp4xaim
Big Dreams With Big Data! Use of Clinical Informatics to Inform Biomarker Discovery
2019
Clinical and Translational Gastroenterology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Electronic health records form a rich but complex source of large amounts of data gathered during routine clinical care. ...
In this article, we introduce important building blocks for precision medicine, including common data models, text mining and natural language processing, privacy-preserved record linkage, machine learning ...
INTRODUCTION Adoption and meaningful use of electronic health records (EHRs) has continued to increase, spurred by federal mandates in the United States. ...
doi:10.14309/ctg.0000000000000018
pmid:30908310
pmcid:PMC6445607
fatcat:mgxszelf3vadxhekbrn5hcsiym
Criteria2Query: a natural language interface to clinical databases for cohort definition
2019
JAMIA Journal of the American Medical Informatics Association
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Data-driven cohort definition is appealing but requires substantial knowledge of terminologies and clinical data models. ...
Cohort definition is a bottleneck for conducting clinical research and depends on subjective decisions by domain experts. ...
ACKNOWLEDGEMENTS The authors would like to acknowledge the Observational Health Data Sciences and Informatics technical teams for their kind help, particularly Lee Evans. ...
doi:10.1093/jamia/ocy178
pmid:30753493
pmcid:PMC6402359
fatcat:5xg4qbkqsbc3vjnr4rvg2dahw4
Representing Knowledge Consistently Across Health Systems
2017
IMIA Yearbook of Medical Informatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Objectives: Electronic health records (EHRs) have increasingly emerged as a powerful source of clinical data that can be leveraged for reuse in research and in modular health apps that integrate into diverse ...
Method: We reviewed several recent studies covering the knowledge representation in the common data models for the Observational Medical Outcomes Partnership (OMOP) and its Observational Health Data Sciences ...
Introduction Electronic Health Records (EHRs) have emerged as a powerful tool to facilitate discoveries that can improve health. ...
doi:10.1055/s-0037-1606495
fatcat:avdentz3jbhspmg5rql6rt6fge
Representing Knowledge Consistently Across Health Systems
2017
IMIA Yearbook of Medical Informatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Objectives: Electronic health records (EHRs) have increasingly emerged as a powerful source of clinical data that can be leveraged for reuse in research and in modular health apps that integrate into diverse ...
Method: We reviewed several recent studies covering the knowledge representation in the common data models for the Observational Medical Outcomes Partnership (OMOP) and its Observational Health Data Sciences ...
Introduction Electronic Health Records (EHRs) have emerged as a powerful tool to facilitate discoveries that can improve health. ...
doi:10.15265/iy-2017-018
pmid:29063555
pmcid:PMC6239235
fatcat:4oo5oxmmarhcjaifykqpivwtre
EHDEN - D4.5 - Roadmap for interoperability solutions
2020
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The EHDEN project has explicitly chosen to standardize healthcare data for analysis using the OMOP Common Data Model, but other interoperability solutions, such as i2b2, CDISC, FHIR, openEHR, GA4GH etc ...
This document addresses the relevance of those standards for the data (re)use goals of EHDEN, and points out how OMOP and OHDSI relate to them. ...
, including patient electronic health records (EHR), cohort studies and registries and even clinical trial data. ...
doi:10.5281/zenodo.4474373
fatcat:3zw4vbrqyvhitc4pgqc2n2wiou
What you need to know before implementing a clinical research data warehouse: a comparative review of integrated data repositories in health care institutions (Preprint)
2020
JMIR Formative Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We identified 4 common architecture models that use different approaches for data processing and integration. ...
IDR implementations are diverse and complex undertakings, which benefit from being preceded by an evaluation of requirements and definition of scope in the early planning stage. ...
Acknowledgments The project was supported, in part, by an Evidence to Innovation (E2i) Research Theme seed grant through the BC Children's Hospital Research Institute. ...
doi:10.2196/17687
pmid:32852280
fatcat:q3luq63hgvds3n5kodxspltuyy
Test collections for electronic health record-based clinical information retrieval
2019
JAMIA Open
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Electronic health record (EHR) data, including structured and free-text data, from 45 000 patients who are a part of the Mayo Clinic Biobank cohort was retrieved from the clinical data warehouse. ...
We described the creation of test collections, including a to-be-evaluated document pool using five retrieval models, and human assessment guidelines. ...
Conflict of interest statement. None declared. ...
doi:10.1093/jamiaopen/ooz016
pmid:31709390
pmcid:PMC6824517
fatcat:n5dldhkybvfanjktk42yfdyipq
An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
The corpora were derived from texts from three different institutions (Mayo Clinic, University of Kentucky, University of Minnesota). ...
The study as a consortium effort of the N3C NLP subgroup demonstrates the feasibility of creating a federated NLP algorithm development and benchmarking platform to enhance multi-institution clinical NLP ...
Introduction Over the past decade, Electronic Health Record (EHR) systems have been increasingly implemented at US healthcare institutions. ...
arXiv:2110.10780v3
fatcat:pauori3y6nhy5g6nrj2k3pvg2u
A new paradigm for accelerating clinical data science at Stanford Medicine
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Furthermore, the data is standardized such that analysis done at Stanford can be replicated elsewhere using the same analytical code and clinical concepts. ...
However, the traditional data warehouse and Honest Broker approaches that are in current use, are not scalable. ...
of 18 We thank Nigam Shah's lab for being early adopters of the dataset, and tools and providing us with feedback and support. ...
arXiv:2003.10534v1
fatcat:mbsbmigcrjhxtazfsqlrlvkmju
Privacy-protecting, reliable response data discovery using COVID-19 patient observations
2021
JAMIA Journal of the American Medical Informatics Association
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
To utilize, in an individual and institutional privacy-preserving manner, electronic health record (EHR) data from 202 hospitals by analyzing answers to COVID-19-related questions and posting these answers ...
We demonstrated that it is possible to answer questions about COVID-19 using EHR data from systems that have different policies and must follow various regulations, without moving data out of their health ...
All sites have transformed or are actively transforming data into the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM), but some of them only use data from COVID-19 registry patients ...
doi:10.1093/jamia/ocab054
pmid:34051088
pmcid:PMC8194878
fatcat:s4yv2ngnfze73hdux5twulhkxy
« Previous
Showing results 1 — 15 out of 90 results