AIMC Journal:
Studies in health technology and informatics

Showing 321 to 330 of 1224 articles

Scaling up a Clinical AI Fellowship.

Studies in health technology and informatics
Insights derived from successfully scaling a Clinical AI NHS Fellowship, addressing the scarcity of professionals proficient in clinical and Artificial Intelligence (AI) domains. Approach focus on operationalising a novel educational route critical f...

Machine Learning-Based Prediction Models of Mortality for Intensive Care Unit Patients Using Nursing Records.

Studies in health technology and informatics
This study aimed to develop ICU mortality prediction models using a conceptual framework, focusing on nurses' concerns reflected in nursing records from the MIMIC IV database. We included 46,693 first-time ICU admissions of adults over 18 years with ...

BEAMER: A Data Informed Model to Improve Adherence Behaviour.

Studies in health technology and informatics
OBJECTIVE: In this poster, we will present the BEAMER model, an emerging disease-agnostic model to improve adherence behaviour based on actionable factors and promote optimal health outcomes for all.

Deep Learning for Predicting Phlebitis in Patients with Intravenous Catheters.

Studies in health technology and informatics
This study presents a deep learning model to predict phlebitis in patients with peripheral intravenous catheter (PIVC) insertions. Leveraging electronic health record data from 27,532 admissions and 70,293 PIVC events at a hospital in Seoul, South Ko...

Comparing Artificial Intelligence-Based Versus Conventional Endotracheal Tube Monitoring Systems in Clinical Practice.

Studies in health technology and informatics
Endotracheal tube dislodgement is a common patient safety incident in clinical settings. Current clinical practices, primarily relying on bedside visual inspections and equipment checks, often fail to detect endotracheal tube displacement or dislodge...

Using Generative AI to Translate Administrative Claims Data into Narrative Summaries for Palliative Care Needs Assessment: A Case Study.

Studies in health technology and informatics
Community-based palliative care is a useful, but underutilized service to support seriously ill older adults to remain safely at home and improve quality of life. Clinical decision support tools can assist palliative care need assessments if presente...

Incorporation of Generative AI in an Introductory Nursing Informatics Course.

Studies in health technology and informatics
This case study describes how one educator approached the incorporation of generative AI into a graduate-level introductory nursing informatics course. Policy for acceptable use of generative AI was set separately for each assignment and disclosure o...

Unveiling Fall Risk Factors: Nurse-Driven Corpus Development for Natural Language Processing.

Studies in health technology and informatics
Hospital-acquired falls are a continuing clinical concern. The emergence of advanced analytical methods, including NLP, has created opportunities to leverage nurse-generated data, such as clinical notes, to better address the problem of falls. In thi...

Fairness in Classifying and Grouping Health Equity Information.

Studies in health technology and informatics
This paper explores the balance between fairness and performance in machine learning classification, predicting the likelihood of a patient receiving anti-microbial treatment using structured data in community nursing wound care electronic health rec...

Black-White Differences in Chronic Stress Exposures to Predict Preterm Birth: Interpretable, Race/Ethnicity-Specific Machine Learning Models.

Studies in health technology and informatics
We developed Multivariate Adaptive Regression Splines (MARS) machine learning models of chronic stressors using the Pregnancy Risk Assessment Monitoring System data (2012-2017) to predict preterm birth (PTB) more accurately and identify chronic stres...