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

167
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...
167
Techniques of therapeutic communication I: Active Listening, Sharing Observations, Validation, and Using Touch01:15

Techniques of therapeutic communication I: Active Listening, Sharing Observations, Validation, and Using Touch

7.2K
The history of therapeutic communication can be traced back to Florence Nightingale, who emphasized the importance of developing trusting relationships with patients. She taught that the presence of nurses with patients results in therapeutic healing.
Therapeutic communication is not the same as social interaction. Social interaction has no goal or purpose and consists of casual information sharing, whereas therapeutic communication has a plan or purpose for the conversation. Therapeutic...
7.2K
Hearing01:31

Hearing

56.4K
When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
56.4K
Patient-centered Care01:13

Patient-centered Care

2.9K
Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
2.9K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

852
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...
852
Data Collection II01:29

Data Collection II

9.6K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
9.6K

You might also read

Related Articles

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

Sort by
Same author

Clinically Significant Changes in Global Cervical Range of Motion Following Anterior Cervical Discectomy and Fusion: A Systematic Review.

JBJS reviews·2026
Same author

Evaluating the Efficacy of a Novel Multimaterial 3D-Printed Phantom for Otologic Surgical Education and Simulation.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology·2026
Same author

Geographic and Socioeconomic Variability in Commercially Negotiated Pricing for Hip and Knee Arthroplasty.

JB & JS open access·2026
Same author

A Brief Patient-Recorded Audio File Called TIMS (This Is My Story) Improves Communication and Empathy for Healthcare Teams in the Hospital.

Journal of patient experience·2024
Same author

Generative Artificial Intelligence: Enhancing Patient Education in Cardiovascular Imaging.

BJR open·2024
Same author

Explainable AI decision support improves accuracy during telehealth strep throat screening.

Communications medicine·2024

Related Experiment Video

Updated: Jan 13, 2026

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

Large Language Model-Enabled Editing of Patient Audio Interviews From "This Is My Story" Conversations: Comparative

Bikram Bains1, Sampath Rapuri1, Edgar Robitaille1

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States.

JMIR Medical Informatics
|January 9, 2026
PubMed
Summary
This summary is machine-generated.

An AI-powered tool can summarize patient stories for medical providers, improving empathy and communication. While AI summaries are comparable to novice human edits, expert edits remain superior, but AI significantly cuts editing time.

Keywords:
TIMSThis Is My Storyaudio recordingcommunicationdistress reductionempathylarge language modelpatient interviewprovider/patient communication

More Related Videos

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

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

Published on: September 27, 2024

807
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

1.0K

Related Experiment Videos

Last Updated: Jan 13, 2026

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
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

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

Published on: September 27, 2024

807
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

1.0K

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Patient Communication

Background:

  • The "This Is My Story" (TIMS) program uses guided patient interviews to foster a humanistic approach in medicine.
  • TIMS interviews are condensed into short audio files for electronic health records to enhance provider empathy and communication.
  • Manual editing of TIMS audio interviews presents a time and resource barrier to program expansion.

Purpose of the Study:

  • To develop and evaluate an automated solution using a large language model (LLM) for summarizing TIMS audio interviews.
  • To assess the feasibility of using AI to create concise and meaningful audio summaries, addressing scalability challenges.

Main Methods:

  • Analyzed 24 TIMS audio interviews, creating expert-edited, AI-edited (LLM pipeline), and novice-edited versions.
  • A blinded expert evaluated audio quality (flow, pacing, clarity) and content quality (coherence, relevance, nuance) using 5-point Likert scales.
  • Quantified transcript similarity to expert-edited versions using lexical and semantic metrics, and identified content omissions.

Main Results:

  • Expert-edited interviews received the highest ratings for audio (4.84) and content quality (4.83).
  • AI-edited (3.49 audio, 3.20 content) and novice-edited (3.84 audio, 3.63 content) interviews scored significantly lower than expert edits (P<.001) but were not significantly different from each other.
  • AI editing significantly reduced editing time compared to human editors and demonstrated comparable transcript overlap to novice edits, despite qualitative omissions.

Conclusions:

  • An AI-based editing pipeline can produce TIMS audio summaries comparable in quality to novice human editors.
  • AI significantly reduces editing time and eliminates the need for manual training, offering a scalable solution for healthcare settings.
  • Further validation is needed, but AI holds potential to overcome barriers and expand the reach of patient-centered communication programs like TIMS.