Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Dosage Regimen: Individualization01:24

Dosage Regimen: Individualization

Individualization in dosing regimens is the customization of medication doses for individual patients. Its necessity arises from the goal of maximizing therapeutic benefits while minimizing risks. This approach is pivotal because human responses to drugs can vary widely; what is effective for one person may be inadequate or excessive for another. Interpatient (intersubject) variability refers to differences in drug responses between individuals, while intrapatient (intrasubject) variability...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions01:15

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Dosage Regimens: Designs and Approaches01:28

Dosage Regimens: Designs and Approaches

Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
Dosage Regimens: Partial Pharmacokinetic Parameters01:01

Dosage Regimens: Partial Pharmacokinetic Parameters

It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
Pharmacokinetic–Pharmacodynamic Relationship: Problems01:24

Pharmacokinetic–Pharmacodynamic Relationship: Problems

The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Managing an institutional patient assistance program in the Part D environment.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists·2006
See all related articles

Related Experiment Video

Updated: Jul 19, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

Optimizing pharmaceutical reimbursement: one institution's approach.

Laurel M Loyd1

  • 1Virginia Commonwealth University Health System, 1201 East Marshall Street, P.O. Box 980042, Richmond, VA 23298-0042, USA. ljacobse@hsc.vcu.edu

American Journal of Health-System Pharmacy : AJHP : Official Journal of the American Society of Health-System Pharmacists
|October 24, 2006
PubMed
Summary

Understanding the pharmacy revenue cycle and collaborating across departments can significantly increase pharmaceutical reimbursement. A dedicated reimbursement specialist can identify and correct billing errors, optimizing revenue recovery and patient care.

Related Experiment Videos

Last Updated: Jul 19, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

Area of Science:

  • Health economics
  • Pharmacy administration
  • Healthcare revenue cycle management

Background:

  • Effective pharmaceutical reimbursement is crucial for healthcare financial stability.
  • Identifying and rectifying billing errors is essential for maximizing revenue recovery.
  • Collaboration between pharmacy and other departments is key to optimizing financial performance.

Purpose of the Study:

  • To discuss the significance of understanding the revenue cycle for pharmaceutical reimbursement.
  • To highlight the importance of reviewing billing systems for errors.
  • To explore the role of interdepartmental collaboration in maximizing reimbursement and justifying dedicated personnel.

Main Methods:

  • Analysis of the healthcare revenue cycle within a large academic medical center.
  • Review of billing systems to identify errors impacting pharmaceutical reimbursement.
  • Collaboration with key health system departments to address revenue cycle inefficiencies.

Main Results:

  • Substantial increase in pharmaceutical reimbursement achieved through a focused, collaborative effort.
  • Identification and correction of billing errors led to improved revenue recovery.
  • Justification for a dedicated reimbursement specialist role was established through documented efforts.

Conclusions:

  • Understanding the revenue cycle empowers pharmacy departments to make informed decisions for revenue maximization and patient needs.
  • Pharmacists can influence claim denials, regulatory changes, compliance, contracting, and price setting to improve reimbursement.
  • Interdepartmental collaboration and revenue cycle analysis are vital for optimizing pharmaceutical reimbursement and financial health.