Back to search

Article

Clinical encounter heterogeneity and methods for resolving in networked EHR data: A study from N3C and RECOVER programs

2022-10-17

Abstract excerpt

<h4>ABSTRACT</h4> <h4>OBJECTIVE</h4> Clinical encounter data are heterogeneous and vary greatly from institution to institution. These problems of variance affect interpretability and usability of clinical encounter data for analysis. These problems are magnified when multi-site electronic health record data are networked together. This paper presents a novel, generalizable method for resolving encounter heterogen...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
771640bd-fc3e-533d-a79c-12caa1a2f722
DOI
10.1101/2022.10.14.22281106
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Clinical encounter heterogeneity and methods for resolving in networked EHR data: A study from N3C and RECOVER programsDOI 10.1101/2022.10.14.22281106
Assessing the quality of clinical and administrative data extracted from hospitals: The General Medicine Inpatient Initiative (GEMINI) experienceSemantic proximity
Develop and Validate A Fair Machine Learning Model to Indentify Patients with High Care-Continuity in Electronic Health Records DataSemantic proximity
The Association of Implemented Care Team Configuration Models with Length of Stay and Charges in Hospitalized Patients with Congestive Heart Failure: A Retrospective Analysis of EHR DataSemantic proximity
Who Is Hospitalized With Whom? Inpatient Contact Networks and Mixing PatternsSemantic proximity
Interoperability of phenome-wide multimorbidity patterns: a comparative study of two large-scale EHR systemsSemantic proximity
Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Semantic proximity
PS1-9: Data Issues and Meta-content to Improve Analysis of Electronic Health DataSemantic proximity
Long COVID as a Tracer of Care Fragmentation: Reconstructing Patient Care Trajectories from Belgian Health System MetadataSemantic proximity
A Local Outpatient Practice-Level Prediction Model for Short-Term Psychiatric Emergency PresentationSemantic proximity
Clinical care site data integration reveals heterogeneity in EHR phenotyping and healthcare utilization patternsSemantic proximity
The Impact of COVID-19 on Telemedicine Utilization Across Multiple Service LinesSemantic proximity
Patient Interaction Phenotypes With an Automated SMS Text Message-Based Program and Use of Acute Health Care Resources After Hospital Discharge: Observational Study.Semantic proximity
Select a neighboring publication to make it the new centre.