Sam Gluck

Sam Gluck
Royal Adelaide Hospital | RAH · Critical Care

MA (Cantab), MB, BChir

About

19
Publications
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101
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Publications

Publications (19)
Article
Rationale Dietary protein may attenuate the muscle atrophy experienced by patients in the Intensive Care Unit (ICU), yet protein handling is poorly understood. Objective To quantify protein digestion and amino acid absorption, and fasting and postprandial myofibrillar protein synthesis during critical illness. Methods Fifteen mechanically ventilate...
Article
Automated information extraction might be able to assist with the collection of stroke key performance indicators (KPI). The feasibility of using natural language processing for classification‐based KPI and datetime field extraction was assessed. Using free‐text discharge summaries, random forest models achieved high levels of performance in classi...
Article
Clinical coding is an important task, which is required for accurate activity-based funding. Natural language processing may be able to assist with improving the efficiency and accuracy of clinical coding. The aims of this study were to explore the feasibility of using natural language processing for stroke hospital admissions, employed with open-s...
Article
Background: Disability is common following critical illness, impacting the quality of life of survivors, and is difficult to measure. 'Participation' can be quantified as involvement in life outside of their home requiring movement from their home to other locations. Participation restriction is a key element of disability, and following critical...
Article
Machine learning, in particular deep learning, may be able to assist in the prediction of the length of stay and timing of discharge for individual patients. Artificial neural networks applied to medical text have previously shown promise in this area. In this study, a previously derived artificial neural network was applied to prospective and exte...
Article
Objective: The aim of the study was to determine the response rate to a mixed-mode survey using email compared with that to a paper survey in survivors of critical illness. Design: This is a prospective randomised controlled trial. Setting: The study was conducted at a single-centre quaternary intensive care unit (ICU) in Adelaide, Australia....
Article
The accurate prediction of likely discharges and estimates of length of stay (LOS) aid in effective hospital administration and help to prevent access block. Machine learning (ML) may be able to help with these tasks. For consecutive patients admitted under General Medicine at the Royal Adelaide Hospital over an 8-month period, daily ward round not...
Article
Background Coronavirus-19 (COVID-19) is associated with a high rate of thrombosis, the pathophysiology of which is not well defined. Viscoelastic testing may identify and characterise hypercoagulable states which are not apparent using conventional coagulation assays Objectives To undertake viscoelastic evaluation of the coagulation state in criti...
Article
Length of stay (LOS) and discharge destination predictions are key parts of the discharge planning process for general medical hospital inpatients. It is possible that machine learning, using natural language processing, may be able to assist with accurate LOS and discharge destination prediction for this patient group. Emergency department triage...
Article
Background: Physical activity after intensive care unit (ICU) discharge is challenging to measure but could inform research and practice. A patient's smartphone may provide a novel method to quantify physical activity. Objectives: We aimed to evaluate the feasibility and accuracy of using smartphone step counts among survivors of critical illnes...
Article
Full-text available
This study was performed to estimate the effect of the retrieval process on mortality for patients admitted to a mixed adult intensive care unit (ICU) compared with propensity-matched, non-retrieved controls. Patients retrieved to the Royal Adelaide Hospital (RAH) ICU between 2011 and 2015 were propensity-score matched for age, gender, Aboriginal a...
Article
OBJECTIVES: Surrogate-decision maker and patient self-reported estimates of the distances walked prior to acute illness are subjective and may be imprecise. It may be possible to extract objective data from a patient's smartphone, specifically, step and global position system data, to quantify physical activity. The objectives were to 1) assess the...
Article
OBJECTIVE: Wearable devices using new technology may be a cost-effective method to assess functional outcomes in survivors of critical illness. Our primary objective was to review the extent to which wearable devices such as smartphones, pedometers, accelerometers and global positioning systems have been used to evaluate outcomes in survivors of an...
Article
Objective: Wearable devices using new technology may be a cost-effective method to assess functional outcomes in survivors of critical illness. Our primary objective was to review the extent to which wearable devices such as smartphones, pedometers, accelerometers and global positioning systems have been used to evaluate outcomes in survivors of a...
Article
Despite a paucity of data regarding both the incidence of ocular candidiasis and the utility of ophthalmic examination in critically ill patients, routine ophthalmic examination is recommended for critically ill patients with candidaemia. The objectives were to estimate the incidence of ocular candidiasis and evaluate whether ophthalmic examination...

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