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

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...
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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 illness...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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...

You might also read

Related Articles

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

Sort by
Same author

The primate-specific Nedd4-1(NE) localizes to late endosomes in response to amino acids to suppress autophagy.

Nature communications·2025
Same author

Lack of Racial and Ethnic Diversity in Surgical Education, as Reflected by Skin Tone in General Surgery Textbooks.

Journal of surgical education·2024
Same author

Spatial Analysis and Lead-Risk Assessment of Philadelphia, USA.

GeoHealth·2022
Same author

Production and persistence of specific antibodies in COVID-19 patients with hematologic malignancies: role of rituximab.

Blood cancer journal·2021
Same author

AcCorps: A low-cost 3D printed stethoscope for fetal phonocardiography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020
Same author

Comparison of multiple cardiac signal acquisition technologies for heart rate variability analysis.

Journal of clinical monitoring and computing·2019

Related Experiment Video

Updated: Jul 18, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Case study: how to apply data mining techniques in a healthcare data warehouse.

M Silver1, T Sakata, H C Su

  • 1Rush Medical College, USA.

Journal of Healthcare Information Management : JHIM
|July 17, 2001
PubMed
Summary

Healthcare organizations can leverage data mining and online analytical processing (OLAP) tools to analyze clinical and financial data. This approach aids in making informed business decisions to improve cost, revenue, and efficiency while maintaining quality of care.

More Related Videos

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

Related Experiment Videos

Last Updated: Jul 18, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

Area of Science:

  • Health Informatics
  • Data Science
  • Business Analytics

Background:

  • Healthcare organizations face increasing financial pressures.
  • Administrators and physicians require assistance in analyzing complex clinical and financial data for decision-making.

Purpose of the Study:

  • To explore the application of data mining techniques for business decision-making in healthcare.
  • To identify methods for improving cost, revenue, and operational efficiency.
  • To establish a repeatable process for data analysis and insight generation.

Main Methods:

  • Development of an enterprise data warehouse through a partnership between Rush-Presbyterian-St. Luke's Medical Center and Hitachi America, Ltd. (HAL).
  • Utilized a commercially available online analytical processing (OLAP) tool.
  • Employed proprietary data mining techniques developed by HAL researchers.
  • Conducted case study analyses involving physicians and computer science researchers.

Main Results:

  • Demonstrated the potential of data mining and OLAP tools in healthcare decision support.
  • Identified specific business insights influencing cost, revenue, and operational efficiency.
  • Validated a repeatable methodology for data analysis and uncovering business opportunities.

Conclusions:

  • Data mining and OLAP tools offer valuable capabilities for healthcare financial and operational management.
  • A collaborative approach between clinical and technical experts is effective for data analysis.
  • The described process provides a framework for healthcare organizations to enhance decision-making and performance.