Machine learning based forecast for the prediction of inpatient bed demand.

Background: Overcrowding is a serious problem that impacts the ability to provide optimal level of care in a timely manner. High patient volume is known to increase the boarding time at the emergency department (ED), as well as at post-anesthesia care unit (PACU). Furthermore, the same high volume increases inpatient bed transfer times, which causes delays in elective surgeries, increases the probability of near misses, patient safety incidents, and adverse events.

Simple contents and good readability: Improving health literacy for LEP populations.

Unlabelled: Accessing and receiving quality healthcare in an unfamiliar health system is a significant challenge for many new immigrants and refugees. This study aims to provide a three-phase model to develop a web-based health information website that helps populations with limited English proficiency (LEP) increase health literacy and improve healthcare service access.

Method: First, we conducted a needs assessment from community leaders and service providers.