Machine learning and decision support in critical care
Clinical data management systems typically provide caregiver teams with useful information,
derived from large, sometimes highly heterogeneous, data sources that are often changing …
derived from large, sometimes highly heterogeneous, data sources that are often changing …
Systematic review of current natural language processing methods and applications in cardiology
MR Turchioe, A Volodarskiy, J Pathak, DN Wright… - Heart, 2022 - heart.bmj.com
Natural language processing (NLP) is a set of automated methods to organise and evaluate
the information contained in unstructured clinical notes, which are a rich source of real-world …
the information contained in unstructured clinical notes, which are a rich source of real-world …
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership …
CE Ronquillo, LM Peltonen, L Pruinelli… - Journal of advanced …, 2021 - Wiley Online Library
Aim To develop a consensus paper on the central points of an international invitational think‐
tank on nursing and artificial intelligence (AI). Methods We established the Nursing and …
tank on nursing and artificial intelligence (AI). Methods We established the Nursing and …
Biases in electronic health record data due to processes within the healthcare system: retrospective observational study
Objective To evaluate on a large scale, across 272 common types of laboratory tests, the
impact of healthcare processes on the predictive value of electronic health record (EHR) …
impact of healthcare processes on the predictive value of electronic health record (EHR) …
Quality of nursing documentation: Paper‐based health records versus electronic‐based health records
L Akhu‐Zaheya, R Al‐Maaitah… - Journal of clinical …, 2018 - Wiley Online Library
Aims and objectives To assess and compare the quality of paper‐based and electronic‐
based health records. The comparison examined three criteria: content, documentation …
based health records. The comparison examined three criteria: content, documentation …
Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator
WK Diprose, N Buist, N Hua, Q Thurier… - Journal of the …, 2020 - academic.oup.com
Objective Implementation of machine learning (ML) may be limited by patients' right to
“meaningful information about the logic involved” when ML influences healthcare decisions …
“meaningful information about the logic involved” when ML influences healthcare decisions …
“Big data” and the electronic health record
Objectives: Implementation of Electronic Health Record (EHR) systems continues to expand.
The massive number of patient encounters results in high amounts of stored data …
The massive number of patient encounters results in high amounts of stored data …
[HTML][HTML] Nursing documentation practice and associated factors among nurses in public hospitals, Tigray, Ethiopia
H Tasew, T Mariye, G Teklay - BMC research notes, 2019 - Springer
Objective The objective of this study was to investigate documentation practice and factors
affecting documentation practice among nurses working in public hospital of Tigray region …
affecting documentation practice among nurses working in public hospital of Tigray region …
The role of electronic medical records in improving the quality of health care services: Comparative study
Purpose The purpose of this study is to identify the quality of health care services'
differences between adopted Electronic Medical Record (EMR) and paper-based record …
differences between adopted Electronic Medical Record (EMR) and paper-based record …
[HTML][HTML] Development and validation of early warning score system: A systematic literature review
LH Fu, J Schwartz, A Moy, C Knaplund, MJ Kang… - Journal of biomedical …, 2020 - Elsevier
Objectives This review aims to: 1) evaluate the quality of model reporting, 2) provide an
overview of methodology for developing and validating Early Warning Score Systems …
overview of methodology for developing and validating Early Warning Score Systems …