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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.4K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.4K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

3.6K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
3.6K
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

5.7K
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
5.7K
Biostatistics: Overview01:20

Biostatistics: Overview

1.1K
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
1.1K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.9K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.9K
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

1.2K
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
1.2K

You might also read

Related Articles

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

Sort by
Same author

[The safety and efficacy of adeno-associated virus-mediated LDLR transfection in homozygous familial hypercholesterolemia].

Zhonghua xin xue guan bing za zhi·2026
Same author

[Research progress on the physiological mechanism of external auditory canal self-cleaning].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2026
Same author

Abstracts of the 26th International Workshop on Clinical Pharmacology of HIV, Hepatitis and other Antiviral Drugs 2025, 3-4 September 2025, Amsterdam, the Netherlands.

British journal of clinical pharmacology·2025
Same author

Prognostic value of relative enhancement metrics based on preconcurrent chemoradiotherapy magnetic resonance imaging (pre-CCRT MRI) volumetric segmentation in glioblastoma.

Clinical radiology·2025
Same author

Arginine Dentifrices and Childhood Caries Prevention: A Randomized Clinical Trial.

JDR clinical and translational research·2025
Same author

[Oral submucosal fibrosis induced by active components in areca nut: a network pharmacology-based analysis and validation of the mechanism].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University·2024

Related Experiment Video

Updated: Mar 30, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.7K

Big Data and Analytics in Healthcare.

S S-L Tan1, G Gao, S Koch

  • 1Sharon Swee-Lin Tan, Centre for Health Informatics, Department of Information Systems, National University of Singapore, Singapore,

Methods of Information in Medicine
|November 19, 2015
PubMed
Summary

Healthcare big data analytics presents unique challenges but offers opportunities to improve patient outcomes and reduce costs. This focus theme presents novel methods for processing large clinical data and developing predictive models for better healthcare insights.

Area of Science:

  • Health Informatics
  • Medical Data Science
  • Healthcare Analytics

Background:

  • The healthcare industry is experiencing exponential growth in data generation.
Keywords:
Healthcare analyticsbig datahealthcare informaticsnatural language processingpredictive analytics

More Related Videos

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.2K
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.9K

Related Experiment Videos

Last Updated: Mar 30, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.7K
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.2K
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.9K
  • Leveraging this healthcare big data offers potential for improved health outcomes and cost reduction.
  • However, the unique nature of healthcare data poses significant processing and analysis challenges.