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

Prescription, Nonprescription and Orphan Drugs01:02

Prescription, Nonprescription and Orphan Drugs

849
Prescription drugs require a prescription from a medical practitioner and can only be obtained from a pharmacy. They have many applications, including treating pain, anxiety, and hypertension.
The misuse and addiction to prescription drugs is a growing problem that can affect people of all age groups, specifically teenagers. This can happen when prescription medications are used in ways not intended by the prescriber, such as taking someone else's prescription or using medication for...
849
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

389
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
389
Biopharmaceutics and Pharmacokinetics: Overview01:28

Biopharmaceutics and Pharmacokinetics: Overview

2.6K
Understanding drugs, drug products, and their performance in pharmaceutical science is pivotal. Drugs, whether simple molecules or complex compounds, are designed to interact with the body's biological systems to diagnose, treat, or prevent diseases. Drug products include various delivery systems such as tablets, capsules, injections, and inhalers. The performance of these drug products is gauged by their ability to deliver the active ingredient to the desired site of action at the...
2.6K
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

1.2K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
1.2K
Quantitative Aspects of Drug-Receptor Interaction01:30

Quantitative Aspects of Drug-Receptor Interaction

1.2K
The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower...
1.2K
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

151
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
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.
151

You might also read

Related Articles

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

Sort by
Same author

Large Language Model-Based Agents for Physical Activity and Cognitive Training: Scoping Review.

JMIR AI·2026
Same author

Barriers and strategies for pain management in non-verbal people with dementia in residential care facilities: protocol for an e-Delphi study.

BMJ open·2025
Same author

Pulmonary Rehabilitation Nursing Interventions Promoting Self-Care in Elderly People with Chronic Obstructive Pulmonary Disease (At Home).

Healthcare (Basel, Switzerland)·2025
Same author

The smart home, a true home? How new technologies disrupt the experience of home for older persons.

Universal access in the information society·2025
Same author

Protocol for a usability and pilot implementation study of a digital medical device to assess pain in non-verbal people with dementia in Portuguese residential care facilities.

Digital health·2025
Same author

Sleep-enhancing nursing interventions in hospital wards: A systematic review.

International nursing review·2024
Same journal

Correction: Anticholinergic burden and health‑related quality of life among adult patients in a resource‑limited setting: a cross‑sectional study.

International journal of clinical pharmacy·2026
Same journal

Exploring hospital pharmacist perspectives on ethical considerations from automated patient prioritisation: a qualitative study.

International journal of clinical pharmacy·2026
Same journal

Attitudes of healthcare professionals towards the use of parenteral methotrexate in rheumatoid arthritis patients: a qualitative study.

International journal of clinical pharmacy·2026
Same journal

Patient perspectives and experiences of collaborative pharmacist prescribing in the hospital inpatient setting: a cross-sectional survey.

International journal of clinical pharmacy·2026
Same journal

Factors related to community pharmacists' intention to provide collaborative deprescribing service for fall-risk medications in older adults: a factorial and theory-based cross-sectional study.

International journal of clinical pharmacy·2026
Same journal

European Society of Clinical Pharmacy: bridging gaps-clinical pharmacy in the digital transition of care.

International journal of clinical pharmacy·2026
See all related articles

Related Experiment Video

Updated: Sep 14, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

586

Conversational agents for pharmaceutical use: insights from the eCCo database.

Mara Pereira Guerreiro1,2, Helga Rafael Henriques3, Elena Mugellini4,5

  • 1Nursing Research, Innovation and Development Centre of Lisbon, Nursing School of Lisbon, Lisbon, Portugal. mguerreiro@egasmoniz.edu.pt.

International Journal of Clinical Pharmacy
|July 21, 2025
PubMed
Summary
This summary is machine-generated.

The eCCo database catalogs studies on conversational agents in health. Most research on medicine-related agents focuses on usability, indicating a need for more effectiveness studies.

Keywords:
Artificial intelligenceConversational agentsDigital healthMedication adherenceSelf-managementVirtual humans

More Related Videos

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

690
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

9.7K

Related Experiment Videos

Last Updated: Sep 14, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

586
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

690
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

9.7K

Area of Science:

  • Computer Science
  • Health Informatics
  • Human-Computer Interaction

Background:

  • Conversational agents simulate human conversation for health and well-being applications.
  • The eCCo database compiles research on these agents, currently listing 657 papers from 1991-2022.
  • Of these, 51 papers specifically address the use of medicines by conversational agents.

Purpose of the Study:

  • To present the eCCo database as a resource for studying conversational agents in health.
  • To highlight research trends and gaps, particularly concerning medicine-related applications.
  • To encourage community contributions for database enhancement.

Main Methods:

  • The eCCo database was systematically compiled and categorized.
  • Papers were analyzed based on their focus (e.g., usability, effectiveness, implementation).
  • Conversational agents were classified by embodiment (non-embodied, virtual embodiment).

Main Results:

  • The database contains 657 studies on conversational agents in health and well-being.
  • 51 studies focus on medicine use, with a predominant emphasis on usability over effectiveness.
  • Non-embodied agents (24) are most common, followed by virtual embodiment (19), often virtual humans (16).

Conclusions:

  • The eCCo database provides a valuable tool for appraising research on conversational agents in healthcare.
  • Current research on medicine-related conversational agents requires more rigorous evaluation of effectiveness and implementation.
  • Future efforts will focus on expanding and refining the database beyond 2022.