Related Experiment Video
Updated: Aug 19, 2026

Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
Published on: January 7, 2019
The psychiatric, alcohol, and drug algorithm: a decision model for the nurse reviewer
1South Florida Utilization Review, Miami.
Abstract:
Although preadmission review and concurrent review are useful tools for limiting unnecessary medical expenditures, psychiatric and chemical dependency cases are more difficult to assess than medical/surgical cases because they are described in relatively subjective terms and do not lend themselves to review by systems currently in use. The Psychiatric, Alcohol, and Drug Algorithm (PADA) is a straightforward utilization review system for these cases. PADA is organized in decision trees for each reason for admission and reason for continued stay; this system enables nurse reviewers to make recommendations on most cases without further review.
More Related Videos
Related Concept Videos
Specialized Care Centers and Settings-II
Rural health centers are specialized care facilities in remote locations with very few medical personnel. The primary care providers who run the centers are mostly Registered Nurse Practitioners. Here, emergency treatment is provided to critically ill or injured patients before they are transferred to the closest hospital. Fortunately, due to advancement in technology, many rural healthcare facilities and professionals have easy access to diagnostic and treatment...
Nursing Interventions II: Selecting and Classifying the Nursing Interventions
CNS Depressants: Alcohol and Nicotine
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Pharmacodynamic Models: Additive and Proportional Drug Effect Model
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

