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

Surveys02:16

Surveys

16.7K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
16.7K
Introduction to Surveying, Plane Surveying and Geodetic Surveys01:27

Introduction to Surveying, Plane Surveying and Geodetic Surveys

1.0K
Surveying is the art and science of mapping the earth's surface. It involves measuring distances, angles in horizontal or vertical directions, and levels to understand the shape and size of land features. Surveying techniques are essential for various tasks, such as identifying the levels of a land area with reference to a specific point, and mapping undulations and water bodies.There are two main types of surveying: plane surveys and geodetic surveys. Plane surveys assume the earth is flat,...
1.0K
Types of Surveys01:27

Types of Surveys

356
Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
356
Survey Safety01:28

Survey Safety

381
Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
381
Errors and Mistakes in Surveying01:19

Errors and Mistakes in Surveying

672
Errors and mistakes in surveying refer to inaccuracies in measurements and data recording. The errors are deviations from the actual value caused by human sensory limitations, equipment flaws, or environmental effects. These errors are typically unintentional and can result from the inherent imperfections in the instruments used, atmospheric conditions, or the observer’s inability to perceive exact measurements. On the other hand, mistakes are caused by the surveyor's lack of...
672
Intelligence01:27

Intelligence

8.5K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.5K

You might also read

Related Articles

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

Sort by
Same author

Clinical guideline highlights for the hospitalist: Management of elevated blood pressure.

Journal of hospital medicine·2026
Same author

Forging physician-scientist professional identity: the roles of integration, relationships, and boundary crossing in training.

BMC medical education·2026
Same author

Things we do for no reason™: Routine use of unfractionated heparin for initial anticoagulation in venous thromboembolism.

Journal of hospital medicine·2026
Same author

Phone Calls Over Clicks: A Survey Study Assessing Nurses' Communication Preferences During Inpatient Physician Rounds.

Journal of general internal medicine·2025
Same author

Hemoptysis and Anabolic Steroids: A Case Report of Oxandrolone-Induced Bleeding.

The American journal of case reports·2025
Same author

I-PASS-Based Handoff Pilot in a High-Volume Urban Hospital: Benefits and Barriers for Hospitalists.

Cureus·2025

Related Experiment Video

Updated: Jan 27, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

Patterns of AI Use in Clinical Work by Hospitalists: Survey Study.

Prabhava Bagla1,2, Jasmah Hanna1,2, Bhargav Marthambadi1,2

  • 1Department of Medicine, Division of Hospital Medicine, School of Medicine, Emory University, Atlanta, GA, United States.

Journal of Medical Internet Research
|January 25, 2026
PubMed
Summary

Two-thirds of hospitalists organically adopted artificial intelligence (AI) tools for clinical use, primarily as decision support. Most AI use involved answering clinical questions and generating diagnoses, with a preference for medical-specific platforms.

Keywords:
AIartificial intelligenceclinical decision support systemsgenerative AIgenerative artificial intelligencehealthcare technology adoptionhospitalistpatterns of usephysician

More Related Videos

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.7K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

846

Related Experiment Videos

Last Updated: Jan 27, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.7K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

846

Area of Science:

  • Medical Informatics
  • Clinical Decision Support Systems
  • Artificial Intelligence in Healthcare

Background:

  • Artificial intelligence (AI) tools are increasingly accessible for clinical applications.
  • Understanding real-world AI adoption by hospitalists is crucial for developing effective healthcare governance frameworks.
  • This study examines AI utilization patterns in the absence of formal organizational endorsement.

Purpose of the Study:

  • To investigate hospitalist adoption of AI tools.
  • To identify specific AI platforms, frequency of use, and clinical applications.
  • To test the hypothesis that younger, less experienced hospitalists use AI more frequently.

Main Methods:

  • An anonymous online survey was distributed to 70 hospitalists at an academic tertiary care hospital.
  • Data collected included demographics, AI platform used, purpose, and frequency of use.
  • Statistical analyses included Chi-square, Fisher's exact, Friedman, and Wilcoxon signed-rank tests.

Main Results:

  • 54 out of 70 (77.1%) hospitalists responded; 66.7% reported using AI.
  • AI use did not significantly differ by age, experience, or other demographics, contrary to the hypothesis.
  • OpenEvidence was the preferred platform (51.9%), followed by ChatGPT (7.4%). AI was mainly used for clinical questions and diagnosis generation, less for patient education.
  • AI was used in under 25% of clinical encounters.

Conclusions:

  • A significant majority of hospitalists have organically adopted AI tools as supplementary decision support.
  • Medical-specific AI platforms are preferred over general-purpose tools.
  • Healthcare institutions need to establish governance, validation, and education for safe AI integration.