Do electronic health record systems “dumb down” clinicians?

GB Melton, JJ Cimino, CU Lehmann… - Journal of the …, 2023 - academic.oup.com
A panel sponsored by the American College of Medical Informatics (ACMI) at the 2021 AMIA
Symposium addressed the provocative question:“Are Electronic Health Records dumbing …

Predictive Modeling of Kuwaiti Chronic Kidney Diseases (KCKD): Leveraging Electronic Health Records for Clinical Decision-Making.

TM Alenezi, TH Sulaiman… - International …, 2024 - search.ebscohost.com
Chronic kidney disease (CDK) represents a significant public health concern globally, and
its prevalence is on the rise. In the context of Kuwait, this study addresses the imperative of …

Development and initial implementation of electronic clinical decision supports for recognition and management of hospital-acquired acute kidney injury

M Howarth, M Bhatt, E Benterud, A Wolska… - BMC medical informatics …, 2020 - Springer
Background Acute kidney injury (AKI) is common in hospitalized patients and is associated
with poor patient outcomes and high costs of care. The implementation of clinical decision …

A richly interactive exploratory data analysis and visualization tool using electronic medical records

CW Huang, R Lu, U Iqbal, SH Lin, PA Nguyen… - BMC medical informatics …, 2015 - Springer
Abstract Background Electronic medical records (EMRs) contain vast amounts of data that is
of great interest to physicians, clinical researchers, and medial policy makers. As the size …

Development of a visualization tool for healthcare decision-making using electronic medical records: A systems approach to viewing a patient record

GA Mandell, MB Keating… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Healthcare delivery systems are widely accepted as socio-technical systems. Unlike other
socio-technical systems, healthcare systems leave very little decision-making to technical …

[HTML][HTML] The Knowledge Program: an innovative, comprehensive electronic data capture system and warehouse

I Katzan, M Speck, C Dopler, J Urchek… - AMIA Annual …, 2011 - ncbi.nlm.nih.gov
Data contained in the electronic health record (EHR) present a tremendous opportunity to
improve quality-of-care and enhance research capabilities. However, the EHR is not …

WCN23-0139 leveraging modern machine learning tools to predict outcomes of in-patient acute kidney injury

H SELVASKANDAN, T Gaultney, D Heath… - Kidney International …, 2023 - kireports.org
Methods 21,225 sets of anonymised local in-patient consecutive AKI episodes (stages 1-3)
were identified. Associated anonymised electronic health records (EHR) of demographics …

[HTML][HTML] Real-time clinical decision support based on recurrent neural networks for in-hospital acute kidney injury: external validation and model interpretation

K Kim, H Yang, J Yi, HE Son, JY Ryu, YC Kim… - Journal of Medical …, 2021 - jmir.org
Background Acute kidney injury (AKI) is commonly encountered in clinical practice and is
associated with poor patient outcomes and increased health care costs. Despite it posing …

[图书][B] Data visualization strategies for the electronic health record

BJ Lesselroth, DS Pieczkiewicz - 2011 - experts.umn.edu
Today's capacious medical information systems have increased the amount and availability
of general medical knowledge and patient-specific data. And yet, information gaps at the …

Visual Analytics for Predicting Disease Outcomes Using Laboratory Test Results

N Rostamzadeh, SS Abdullah, K Sedig, AX Garg… - Informatics, 2022 - mdpi.com
Laboratory tests play an essential role in the early and accurate diagnosis of diseases. In
this paper, we propose SUNRISE, a visual analytics system that allows the user to …