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

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

2.3K
The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
2.3K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

912
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
912

You might also read

Related Articles

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

Sort by
Same author

Impact of adhesive layer addition on the optical properties of remineralized white spot lesions.

Journal of dental research, dental clinics, dental prospects·2025
Same author

Influence of Different Protocols of Cone-Beam Computed Tomography Units of High and Low Resolution on the Identification of Root Fractures.

Australian endodontic journal : the journal of the Australian Society of Endodontology Inc·2025
Same author

Heights of maxillary sinus and piriform aperture are valuable in sex prediction: a cone beam computed tomography study.

Surgical and radiologic anatomy : SRA·2024
Same author

Mast cells and factor XIIIa+ dendrocytes in actinic cheilitis and lip squamous cell carcinoma.

Brazilian oral research·2024
Same author

Chromatic Adaption of Two Universal Composites: Spectrophotometric Analysis.

Materials (Basel, Switzerland)·2024
Same author

Impact of CBCT acquisition protocols and artifact reduction filters on diagnosing vertical root fractures.

Dental traumatology : official publication of International Association for Dental Traumatology·2024

Related Experiment Video

Updated: Apr 22, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

7.6K

Mapping Patient Complexity to Educational Needs: Proof-of-Concept for a Data-Driven Framework.

Francesca Zotti1, Rozendo Luiz Corso2, Bruna Orlandin2

  • 1Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, Verona, Italy.

Journal of Dental Education
|April 21, 2026
PubMed
Summary

Routinely collected dental clinical data can create an educational framework for competency-based training. This approach organizes patient complexity into care lines, enhancing clinical exposure and assessment for dental students.

Keywords:
competency‐based educationdental educationeducational care linesknowledge assessmentlearning quality

More Related Videos

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

3.7K
Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

4.4K

Related Experiment Videos

Last Updated: Apr 22, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

7.6K
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

3.7K
Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

4.4K

Area of Science:

  • Dental Education
  • Health Professions Education
  • Clinical Informatics

Background:

  • Competency-based education requires structured clinical experiences.
  • Organizing clinical training by patient complexity is challenging.
  • Existing frameworks may not fully leverage routinely collected clinical data.

Purpose of the Study:

  • To determine if clinical data can form a framework for competency-based dental training.
  • To examine patient complexity patterns for educational insights.
  • To develop evidence-informed educational care lines for case allocation and assessment.

Main Methods:

  • Analyzed 331 anonymized dental patient records (2023-2025).
  • Applied K-means clustering (K=2-7) to identify patient complexity patterns.
  • Interpreted clusters to define educational care lines and associated competencies.

Main Results:

  • Identified two macro-clusters: low (n=282) and high (n=49) clinical complexity.
  • Derived five educational care lines: preventive, simple restorative, complex chronic, prosthodontic, and critical adherence care.
  • Defined competencies, learning objectives, and assessment criteria for each care line.

Conclusions:

  • Clinical data can be transformed into a structured educational framework for curriculum design.
  • The care-line model aligns case complexity with student readiness.
  • This approach improves clinical exposure consistency and assessment reliability.