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

Relationship Formation02:12

Relationship Formation

46.3K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
46.3K
Ending Relationships01:28

Ending Relationships

205
The dissolution of intimate relationships presents complex emotional and psychological challenges, particularly when emotional bonds are strong, the relationship is long-standing, and perceived alternatives are limited. This distress often intensifies in romantic breakups, where the initiator may experience greater turmoil than the rejected partner. Contributing factors include residual attachment, guilt over causing pain, and uncertainty about how to manage the situation. The stress is further...
205
Data Reporting and Recording01:24

Data Reporting and Recording

5.5K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.5K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

11.0K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
11.0K
Outcomes of Glycolysis01:13

Outcomes of Glycolysis

107.7K
Nearly all the energy used by cells comes from the bonds that make up complex organic compounds. These organic compounds are broken down into simpler molecules, such as glucose. As a result, cells extract energy from glucose over many chemical reactions—a process called cellular respiration.
Cellular respiration can occur aerobically (with oxygen) or anaerobically (without oxygen). In the presence of oxygen, cellular respiration starts with glycolysis and continues with pyruvate...
107.7K
Pharmacokinetic–Pharmacodynamic Relationship: Duration of Dose-Effect Relationship01:14

Pharmacokinetic–Pharmacodynamic Relationship: Duration of Dose-Effect Relationship

7
For drugs producing a quantal response, onset occurs when plasma concentration reaches a minimum effective level (Cmin). The drug's action duration depends on how long the plasma concentration remains above Cmin.Two primary factors influence this duration: dose size and the rate of drug removal from the action site. Both depend on the drug's redistribution to poorly perfused tissues and elimination processes. A larger dose promotes rapid onset and prolongs the effect's duration.Consider a...
7

You might also read

Related Articles

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

Sort by
Same author

Standardized visual overlays enhance laparoscopic instruction: A mixed-methods evaluation.

American journal of surgery·2026
Same author

Persona-Driven Vignettes: A Novel Needs Assessment and Audit Tool for Faculty Development.

Cureus·2026
Same author

Supporting Self-Regulated Learning in Medical School: A National Survey.

Cureus·2026
Same author

Reciprocal compensation of caspase-2 and p53 regulates the DNA damage response in HCT116 colon cancer cells.

The Journal of biological chemistry·2026
Same author

A foundation model of cancer genotype enables precise predictions of therapeutic response.

Cancer discovery·2026
Same author

A Novel PCD Phenotype: Inherent Mucus Hypersecretion by Patient-Derived Airway Epithelial Cells.

Pediatric pulmonology·2026

Related Experiment Video

Updated: Feb 13, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.5K

A Call to Investigate the Relationship Between Education and Health Outcomes Using Big Data.

Saad Chahine1, Kulamakan Mahan Kulasegaram, Sarah Wright

  • 1S. Chahine is research scientist, Centre for Education Research & Innovation, and assistant professor, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; ORCID: https://orcid.org/0000-0003-0488-773X. K. Kulasegaram is scientist and assistant professor, Department of Family & Community Medicine, Wilson Centre, University Health Network and Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada. S. Wright is assistant professor, Department of Family & Community Medicine, and scientist, Wilson Centre, University Health Network and Faculty of Medicine, University of Toronto and Michael Garron Hospital, Toronto East Health Network, Toronto, Ontario, Canada; ORCID: https://orcid.org/0000-0002-6636-4822. S. Monteiro is assistant professor, Department of Health Research Methods, Evidence and Impact, and education scientist, McMaster Education Research, Innovation and Theory, Faculty of Health Sciences Program, McMaster University, Hamilton, Ontario, Canada; ORCID: https://orcid.org/0000-0001-8723-5942. L.E.M. Grierson is scientist, McMaster Faculty of Health Sciences Program for Education Research, Innovation, and Theory, and associate professor, Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada. C. Barber is assessment and data analyst, Undergraduate Medical Education, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada. S.S. Sebok-Syer is a postdoctoral fellow, Centre for Education Research & Innovation, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; ORCID: https://orcid.org/0000-0002-3572-5971. M. McConnell is assistant professor, Department of Innovation in Medical Education, University of Ottawa, Ottawa, Ontario, Canada; ORCID: https://orcid.org/0000-0002-8721-2107. W. Yen is senior researcher, College of Physicians and Surgeons of Ontario, Toronto, Ontario, Canada. A. De Champlain is director, Psychometrics and Assessment Services, Medical Council of Canada, Ottawa, Ontario, Canada; ORCID: http://orcid.org/0000-0002-2472-798X. C. Touchie is chief medical education officer, Medical Council of Canada, and associate professor, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada; ORCID: http://orcid.org/0000-0001-7926-9720.

Academic Medicine : Journal of the Association of American Medical Colleges
|March 15, 2018
PubMed
Summary

Investigating the link between medical education and patient care is crucial. Utilizing big data analytics can effectively assess how teaching methods impact patient outcomes, improving healthcare quality.

More Related Videos

Using Learning Outcome Measures to assess Doctoral Nursing Education
10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

19.5K
An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents
06:55

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents

Published on: December 2, 2015

23.5K

Related Experiment Videos

Last Updated: Feb 13, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.5K
Using Learning Outcome Measures to assess Doctoral Nursing Education
10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

19.5K
An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents
06:55

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents

Published on: December 2, 2015

23.5K

Area of Science:

  • Medical Education Research
  • Health Services Research
  • Big Data Analytics

Background:

  • The assumption that improved medical education enhances patient care lacks empirical investigation.
  • Current research often focuses on training outcomes rather than direct clinical practice and patient results.

Purpose of the Study:

  • To propose and advocate for the use of big data to rigorously examine the relationship between medical education and patient care outcomes.
  • To highlight the necessity of linking educational and healthcare data for comprehensive analysis.

Main Methods:

  • Leveraging big data analytics to analyze large datasets connecting medical training and patient care.
  • Establishing collaborative initiatives between universities and licensing organizations to collect and integrate educational and health data.
  • Developing frameworks for organizing, linking, and analyzing big data for medical education research.

Main Results:

  • Big data facilitates a more efficient and comprehensive investigation into the education-patient care link.
  • Collaborative efforts are underway to harness big data for studying pedagogical approaches and their impact on patient outcomes.
  • The benefits of using big data in this field are believed to outweigh potential challenges.

Conclusions:

  • A coordinated big data approach is essential for evidence-based policymaking and practice in medical education.
  • Understanding the impact of medical training on patient outcomes is critical given increasing investments in medical education.
  • Future research must extend beyond training metrics to encompass practice and clinical outcomes.