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

SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
Quality Control01:05

Quality Control

Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
Response Surface Methodology01:16

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
Run Charts01:12

Run Charts

Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For example,...
Interpreting Run Charts01:25

Interpreting Run Charts

Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...

You might also read

Related Articles

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

Sort by
Same author

Perspectives on the definition of 'evidence': a qualitative interview study among interest-holders.

BMJ evidence-based medicine·2026
Same author

Artificial intelligence advancements for orthopaedic clinical reasoning: longitudinal assessment of newer models (ChatGPT-5, Grok-3, Gemini 2.5 Flash) compared to clinicians.

Archives of orthopaedic and trauma surgery·2026
Same author

Models of publicly funded home care for community-dwelling older adults across six high-income health systems: a scoping review.

BMC geriatrics·2026
Same author

Applications of Artificial Intelligence (AI) in Breast Cancer Care Delivery and Education: A Scoping Review.

International journal of environmental research and public health·2026
Same author

How Cancer Online Support Groups Work, for Whom, and in What Circumstances: Realist Review.

Journal of medical Internet research·2026
Same author

Insulin regimens for adults living with type 1 diabetes mellitus.

The Cochrane database of systematic reviews·2026

Related Experiment Video

Updated: May 12, 2026

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

14.3K

Automation tools to support undertaking scoping reviews.

Hanan Khalil1,2, Danielle Pollock3,4, Patricia McInerney5

  • 1School of Psychology and Public Health, Department of Public Health, La Trobe University, Melbourne, Australia.

Research Synthesis Methods
|June 17, 2024
PubMed
Summary

This paper introduces automation tools and software to streamline evidence synthesis, specifically for conducting scoping reviews. These resources aid in various stages, from protocol development to report writing, enhancing efficiency and quality.

Keywords:
automation toolsguidancemethodologyqualityscoping reviews

More Related Videos

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.3K
Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

2.3K

Related Experiment Videos

Last Updated: May 12, 2026

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

14.3K
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.3K
Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

2.3K

Area of Science:

  • Evidence synthesis
  • Health sciences research
  • Information science

Background:

  • Conducting scoping reviews involves multiple complex steps.
  • Automation tools can significantly improve the efficiency and quality of evidence synthesis.
  • Existing guidance for scoping reviews can be enhanced by integrating technological solutions.

Purpose of the Study:

  • To describe automation tools and software for evidence synthesis projects.
  • To provide guidance on integrating these tools into scoping review methodology.
  • To enhance the conduct of high-quality scoping reviews through automation.

Main Methods:

  • Adapted guidance from a scoping review and JBI Scoping Review Methodology group consultations.
  • Detailed automation tools aligned with key steps in the JBI scoping review process.
  • Included reliable and validated software for enhancing scoping review conduct.

Main Results:

  • Several reliable automation tools and software are available to enhance scoping reviews.
  • Tools are presented in the order of recommended steps: team establishment, protocol development, searching, de-duplication, screening, data extraction, data charting, and report writing.
  • Limitations include English-only availability and limited interoperability between tools.

Conclusions:

  • Useful automation tools and software can support each step of a scoping review.
  • This guidance can inform the development of integrated automation solutions for high-quality scoping reviews.
  • Automation has the potential to significantly advance the field of evidence synthesis.