An open-access dataset of emergency department admissions at a large teaching hospital in Iran.

Zohreh BaniHassan, MohammadReza Kazemi, Majid Jangi, Hamed Tabesh

Abstract read

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Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

4 authors.

Zohreh BaniHassanDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

MohammadReza KazemiDepartment of Computer Engineering and Information Technology, Payame Noor University (PNU), Tehran, Iran.

Majid JangiHealth Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Hamed TabeshDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the use of electronic health records (EHRs) has become increasingly prevalent in healthcare settings, including emergency departments (EDs). EHRs offer numerous advantages, such as improved documentation, streamlined communication, and enhanced patient care. Additionally, EHRs contain vital information about patient care and treatment outcomes, which opens up exciting research opportunities. The objective of this study was to present a database comprising information regarding patients admitted to the emergency department of a large hospital. In this study, we are introducing an open-access database sourced from the electronic health records of a general university hospital in Isfahan, Iran. The data were collected from patients admitted to the emergency department between March 2017 and March 2022, resulting in a database containing 143,582 ED stays. The database includes triage information, ED admission patients, and services. To ensure patient privacy, all patient-specific information has been removed from the records.

Indexed as

Data extractionElectronic health recordEmergency departmentHealth informatics

Identifiers

PMID39257683

DOI10.1016/j.dib.2024.110827

PMCPMC11384509

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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.