Publications by authors named "Ying Ling Lin"

Background: The design of personal protective equipment (PPE) may affect well-being and clinical work. PPE as an integrated item may improve usability and increase adherence by healthcare professionals. Human factors design and safety may reduce occupational-acquired diseases.

View Article and Find Full Text PDF

Objective: The coronavirus disease 2019 (COVID-19) pandemic has resulted in shortages of personal protective equipment (PPE), underscoring the urgent need for simple, efficient, and inexpensive methods to decontaminate masks and respirators exposed to severe acute respiratory coronavirus virus 2 (SARS-CoV-2). We hypothesized that methylene blue (MB) photochemical treatment, which has various clinical applications, could decontaminate PPE contaminated with coronavirus.

Design: The 2 arms of the study included (1) PPE inoculation with coronaviruses followed by MB with light (MBL) decontamination treatment and (2) PPE treatment with MBL for 5 cycles of decontamination to determine maintenance of PPE performance.

View Article and Find Full Text PDF

The COVID-19 pandemic is currently causing a severe disruption and shortage in the global supply chain of necessary personal protective equipment (e.g., N95 respirators).

View Article and Find Full Text PDF

Purpose: Although intensive care clinicians are expected to make data-driven critical decisions using the technologies available to them, the effect of those technologies on decision-making are not well understood. Using the macrocognitive framework, we studied critical decision-making and technology use to understand how different specialists within teams make decisions and guide the development of decision-making support technologies.

Materials And Methods: The Critical Decision Method was used to understand the macrocognitive processes used during critical decision-making of twelve critical care clinicians.

View Article and Find Full Text PDF

Importance: Sources of data in the intensive care setting are increasing exponentially, but the benefits of displaying multiparametric, high-frequency data are unknown. Decision making may not benefit from this technology if clinicians remain cognitively overburdened by poorly designed data integration and visualization technologies (DIVTs).

Objective: To systematically review and summarize the published evidence on the association of user-centered DIVTs with intensive care clinician performance.

View Article and Find Full Text PDF

Background: Intensive care clinicians use several sources of data in order to inform decision-making. We set out to evaluate a new interactive data integration platform called T3™ made available for pediatric intensive care. Three primary functions are supported: tracking of physiologic signals, displaying trajectory, and triggering decisions, by highlighting data or estimating risk of patient instability.

View Article and Find Full Text PDF