Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Stereotype Content Model

Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...

You might also read

Related Articles

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

Sort by

Same author

Use of a 3D camera for automated patient positioning for chest-abdomen-pelvis CT scans: Effect on positioning accuracy and patient dose.

Radiography (London, England : 1995)·2024

Same author

Improvements in Survival and Clinical Benefit With Gemcitabine as First-Line Therapy for Patients With Advanced Pancreas Cancer: A Randomized Trial.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2023

Same author

Corrigendum to "A physiologically relevant dose of 50% egg-phosphatidylcholine is sufficient in improving gut permeability while attenuating immune cell dysfunction induced by a high-fat diet in male Wistar rats" [J Nutr 153 (2023) 3131-3143].

The Journal of nutrition·2023

Same author

Evidence for osteocyte-mediated bone-matrix degradation associated with periprosthetic joint infection (PJI)

European cells & materials·2021

Same author

Ganglion cells in larval zebrafish retina integrate inputs from multiple cone types.

Journal of neurophysiology·2021

Same author

Sustaining tuberculosis preventive therapy scale-up through direct supportive supervision.

Public health action·2020

Same journal

Financial ratios and group practice operations.

Medical group management journal·2002

Same journal

Developing a Web site for your practice, Part 2.

Medical group management journal·2002

Same journal

Ten misconceptions physicians have about marketing.

Medical group management journal·2002

Same journal

Defined contribution health plans--coming to a payer near you?

Medical group management journal·2002

Same journal

Achieving open access: the road to improved service & satisfaction.

Medical group management journal·2002

Same journal

Two "senior citizen" headhunters provide counsel to recruiters.

Medical group management journal·2002

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 9, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Got voice?

¹Health Care Consulting Group, Englewood, CO 80112-5602, USA.

Medical Group Management Journal

|May 2, 2000

Summary

This summary is machine-generated.

Voice recognition technology offers many healthcare applications, particularly for electronic medical records. Group practice managers should assess its realistic advantages and disadvantages for informed adoption.

More Related Videos

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Published on: November 25, 2017

Related Experiment Videos

Last Updated: Feb 9, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Published on: November 25, 2017

Area of Science:

Health Informatics
Medical Technology

Background:

Voice recognition technology has advanced significantly.
It has diverse applications in modern healthcare.
Electronic medical records (EMR) are a key area of application.

Purpose of the Study:

To provide a realistic overview of voice recognition technology in healthcare.
To guide group practice managers in evaluating its benefits and drawbacks.

Main Methods:

Review of current voice recognition technologies.
Analysis of advantages and disadvantages in healthcare settings.

Main Results:

Voice recognition technology presents numerous benefits for EMR systems.
Potential challenges and limitations exist that require careful consideration.

Conclusions:

Group practice managers must critically evaluate voice recognition technology.
Informed decision-making requires understanding both the pros and cons.