Related Experiment Video
Updated: Aug 26, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Can nonclinicians classify medication discrepancies as accurately as clinical pharmacists? A validation study
Julianne E Brady1, Steven R Simon2,3, Kate Yeksigian1
1Center for Healthcare Organization and Implementation Research (CHOIR) VA Boston Healthcare System Boston Massachusetts USA.
No abstract available in PubMed .
More Related Videos
07:31A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
Published on: February 13, 2020
06:28E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
Blind Procedures
Clinical Trials
There are four phases in a clinical trial. A phase one...
Analysis of Population Pharmacokinetic Data
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...