Research Insights

This section focuses on recent global studies and discoveries in the various fields of healthcare.

Dressing-induced hemodynamic instability in patients with heart failure: Implications for nursing care

Heart failure HF restricts activities of daily living impacting prognosis and quality of life Dressing requires sustained upperlimb movements postural transitions and finemotor tasks that may impose cardiovascular

Comparison of local large language models for extraction of signs and symptoms data from electronic health records

Electronic health records EHRs provide a large source of data that can be used for research purposes Extraction of information from unstructured clinical notes in EHRs can be automated by large language models LLMs

Patient perspectives on delays in care for kidney stones: A qualitative analysis

Traditional insurance claims dataset analyses have exposed disparities in treatment delays for kidney stones along lines of socioeconomic status particularly among patients who are underinsured andor racialethnic minorities

Patients’ preference for receiving healthcare services from out-of-area hospitals based on the Analytic Hierarchy Process (AHP): A mixed-methods study

Meeting patients needs and expectations is one of the core responsibilities of healthcare delivery organizations in any region Patients have two options for receiving services either they go to hospitals

The journey to diagnosis and care of functional neurological disorder (FND)

Functional neurological disorder FND is a common condition associated with high disability and healthcare costs and poor treatment access This qualitative study aimed to explore participants

Patient perceptions and knowledge of corticosteroid injections: A cross-sectional survey study

Although cortisone injections are commonly used patient understanding of cortisone is variable and often affected by misconceptions This study explores patient perspectives identifies misconceptions

Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodules

Artificial intelligencebased radiomic approaches have been shown to accurately evaluate indeterminate pulmonary nodules With the expansion of lung cancer screening and utilization of computed tomography imaging

Predictive divergence in machine learning models for clinical mortality risk: A multicohort study of covid-19 patients

Machine learning ML algorithms are increasingly used in healthcare to support clinical decisionmaking While models with similar overall performance are often considered interchangeable for deployment

Integrated disease model considering mutation-induced infection waves with COVID-19 cases

COVID an unprecedented global pandemic has caused successive waves that pose unique challenges to public health and epidemiological research Traditional SusceptibleInfectedRecovered SIR models often struggle to capture these complex dynamics

Exploring the drivers of price variation in orthopaedic radical bone tumor resection: A nationwide database study

Radical resection of bone tumors is a clinically effective but costly procedure Despite the implementation of federal price transparency mandates little is known about the nationwide variation in negotiated prices for these specialized oncologic surgeries