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

Impression Management Techniques IV: Altercasting01:14

Impression Management Techniques IV: Altercasting

164
Altercasting is a strategic communication technique in which an individual imposes a specific identity or social role onto another person to influence their behavior and shape the interaction. By presuming a role—such as “responsible leader” or “patient person”—altercasting encourages the target to conform to that identity, often aligning their behavior with the expectations associated with the role. The power of this tactic lies in its subtlety; once a role...
164
Role-Based Identity01:21

Role-Based Identity

167
Role-based identities are central to understanding how individuals navigate social environments by adopting distinct self-conceptions aligned with various societal roles. These identities are not fixed traits but are constructed through personal actions and the social feedback individuals receive in context-specific interactions. Each social role, such as student, teacher, or friend, carries a set of expectations and norms that influence how people think, feel, and behave within that...
167
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.3K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.3K
Impression Management Techniques III: Aligning Actions01:29

Impression Management Techniques III: Aligning Actions

120
Aligning actions are communicative strategies individuals employ to maintain social harmony and preserve personal identity in the face of potential disruptions to social norms. These actions are particularly important in managing social impressions when one's behavior might be seen as inappropriate, incompetent, or morally questionable.Types of Aligning ActionsThe three principal types of aligning actions are disclaimers, accounts, and apologies.DisclaimersDisclaimers are preventive; they are...
120
Data Reporting and Recording01:24

Data Reporting and Recording

5.3K
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...
5.3K
Data Validation01:03

Data Validation

6.3K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.3K

You might also read

Related Articles

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

Sort by
Same author

Person-Centered Care Planning for People With Multiple Chronic Conditions: An Environmental Scan of Models and Approaches.

Learning health systems·2026
Same author

Charting the future of ACMI: a report from the 2025 ACMI symposium.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Title: Multimodal Fusion of Clinical and Imaging Data for Early Prediction of Massive Transfusion in Trauma.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

The Maturity of Maturity Models in Health Care and Informatics.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

Leveraging Natural Language Processing and Structured Scoring to Evaluate Operative Note Quality in Surgical Training.

Journal of surgical education·2026
Same author

RescueGPT: An Automated System for Detecting Adverse Safety Events in Prehospital Emergency Medical Service Notes With a Zero-Shot Approach With Large Language Models: A Proof-of-Concept Study.

Learning health systems·2026

Related Experiment Video

Updated: Jan 12, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

902

Adapting data science competencies by role and purpose: Voice AI.

David A Dorr1, Andrea Krussel2, Rachel Hauck2

  • 1Division of Informatics, Clinical Epidemiology, and Translational Data Science, Department of Medicine, Oregon Health & Science University, Portland, OR, United States.

Frontiers in Digital Health
|November 6, 2025
PubMed
Summary
This summary is machine-generated.

Adapting data science competencies for clinical AI/ML roles is crucial. This study shows tailored frameworks are feasible and essential for diverse learners in rapidly evolving AI fields.

Keywords:
artificial intelligencecompetency frameworksdata sciencelanguagemachine learningpersonasspeechvoice

More Related Videos

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications
06:24

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications

Published on: January 5, 2024

1.3K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.0K

Related Experiment Videos

Last Updated: Jan 12, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

902
Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications
06:24

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications

Published on: January 5, 2024

1.3K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.0K

Area of Science:

  • Data Science
  • Artificial Intelligence (AI)
  • Machine Learning (ML)

Background:

  • General data science competencies provide a broad framework for education and professional standards.
  • The dynamic nature of data science, diverse roles, and specific applications present challenges for competency development.
  • Emerging AI/ML applications in clinical settings require specialized skill sets.

Purpose of the Study:

  • To adapt general data science competencies for various learner roles in the context of clinical utility of Voice, Language, and Speech-based AI/ML.
  • To develop practical frameworks for competency adaptation in specialized AI domains.

Main Methods:

  • A persona-inductive approach was used to tailor competencies.
  • Adaptations were implemented and tested in a multi-institutional summer school program.

Main Results:

  • Pilot implementations demonstrated the feasibility of adapted competencies.
  • Cross-role collaboration was identified as a critical factor for success.
  • Lessons were learned for scaling these competency frameworks to larger audiences.

Conclusions:

  • Competency adaptation is both necessary and practical for rapidly evolving AI domains.
  • Tailored data science competencies are essential for effective learning in specialized AI fields like clinical AI/ML.
  • The developed frameworks support learners from diverse professional and educational backgrounds.