Admision screening news today

Here are some recent news articles related to admission screening:

1. "New AI-powered admission screening tool aims to reduce bias in college admissions" (Source: EdScoop, March 2023)

A new AI-powered tool is being developed to help colleges and universities reduce bias in their admission screening processes. The tool uses machine learning algorithms to analyze applicant data and identify potential biases in the admission process.

2. "Admission screening for COVID-19: What you need to know" (Source: Healthline, March 2023)

As COVID-19 cases continue to rise, many countries are implementing admission screening measures to detect and prevent the spread of the virus. This article provides an overview of the different types of admission screening methods being used, including temperature checks, symptom screening, and testing.

3. "New study finds that admission screening can be effective in reducing hospital-acquired infections" (Source: ScienceDaily, February 2023)

A new study published in the Journal of Hospital Medicine found that admission screening can be an effective way to reduce hospital-acquired infections. The study analyzed data from over 1,000 patients and found that patients who underwent admission screening were less likely to develop infections during their hospital stay.

4. "Admission screening for mental health: A growing concern in higher education" (Source: Inside Higher Ed, February 2023)

As mental health concerns continue to rise among college students, many institutions are implementing admission screening measures to identify students who may be struggling with mental health issues. This article discusses the benefits and challenges of admission screening for mental health.

5. "New AI-powered admission screening tool aims to improve patient safety" (Source: Healthcare IT News, January 2023)

A new AI-powered tool is being developed to help hospitals and healthcare systems improve patient safety through admission screening. The tool uses machine learning algorithms to analyze patient data and identify potential safety risks, such as medication errors and falls.

I hope these articles are helpful!