Big data and data science in critical care

LN Sanchez-Pinto, Y Luo, MM Churpek - Chest, 2018 - Elsevier
The digitalization of the health-care system has resulted in a deluge of clinical big data and
has prompted the rapid growth of data science in medicine. Data science, which is the field …

Stepped wedge cluster randomised trials: a review of the statistical methodology used and available

D Barker, P McElduff, C D'Este… - BMC medical research …, 2016 - Springer
Background Previous reviews have focussed on the rationale for employing the stepped
wedge design (SWD), the areas of research to which the design has been applied and the …

[HTML][HTML] The impact of visualization dashboards on quality of care and clinician satisfaction: integrative literature review

SS Khairat, A Dukkipati, HA Lauria, T Bice… - JMIR human …, 2018 - humanfactors.jmir.org
Background: Intensive Care Units (ICUs) in the United States admit more than 5.7 million
people each year. The ICU level of care helps people with life-threatening illness or injuries …

Usability evaluation of dashboards: A systematic literature review of tools

S Almasi, K Bahaadinbeigy, H Ahmadi… - BioMed Research …, 2023 - Wiley Online Library
Introduction. In recent years, the use of dashboards in healthcare has been considered an
effective approach for the visual presentation of information to support clinical and …

Big data & analytics for societal impact: Recent research and trends

A Gupta, A Deokar, L Iyer, R Sharda… - Information Systems …, 2018 - Springer
Recent strides in computing capabilities, increases in data transparency and open data
sources, growth in IOT (Internet of Things) and smartphone device usage are some of the …

Utilizing Electronic Health Records to Predict Acute Kidney Injury Risk and Outcomes: Workgroup Statements from the 15th ADQI Consensus Conference

SM Sutherland, LS Chawla… - Canadian journal of …, 2016 - journals.sagepub.com
The data contained within the electronic health record (EHR) is “big” from the standpoint of
volume, velocity, and variety. These circumstances and the pervasive trend towards EHR …

Prediction of COVID-19 hospital length of stay and risk of death using artificial intelligence-based modeling

B Mahboub, MTA Bataineh, H Alshraideh… - Frontiers in …, 2021 - frontiersin.org
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly infectious virus
with overwhelming demand on healthcare systems, which require advanced predictive …

A multidisciplinary approach to the development of digital twin models of critical care delivery in intensive care units

X Zhong, F Babaie Sarijaloo, A Prakash… - … Journal of Production …, 2022 - Taylor & Francis
To investigate critical care delivery in intensive care units (ICUs), we propose a qualitative
and quantitative coupling approach to developing an ICU digital twin model. The Systems …

A comparison of statistical methods for modeling count data with an application to hospital length of stay

GA Fernandez, KP Vatcheva - BMC Medical Research Methodology, 2022 - Springer
Background Hospital length of stay (LOS) is a key indicator of hospital care management
efficiency, cost of care, and hospital planning. Hospital LOS is often used as a measure of a …

[HTML][HTML] Critical care information display approaches and design frameworks: a systematic review and meta-analysis

MC Wright, D Borbolla, RG Waller, G Del Fiol… - Journal of Biomedical …, 2019 - Elsevier
Objective To systematically review original user evaluations of patient information displays
relevant to critical care and understand the impact of design frameworks and information …