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

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

1.1K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
1.1K
Nursing Clinical Information System01:27

Nursing Clinical Information System

1.1K
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
1.1K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

750
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...
750
Integrated Healthcare System01:20

Integrated Healthcare System

2.1K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
2.1K
Appendicitis-II: Diagnostic Studies and Management01:29

Appendicitis-II: Diagnostic Studies and Management

296
Diagnosing and managing appendicitis requires a structured and comprehensive approach that spans from initial assessment to postoperative care. Here is an overview of the process:
Diagnosing Appendicitis
It requires a multifaceted approach, starting with a detailed physical examination to pinpoint the location and nature of the pain and identify any associated symptoms. Laboratory tests play a crucial role. A complete Blood Count (CBC) typically reveals leukocytosis (an increased number of...
296
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.8K
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
3.8K

You might also read

Related Articles

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

Sort by
Same author

Automated Text Message Outreach to Increase Diabetes Screening: A Pragmatic Randomized Trial.

medRxiv : the preprint server for health sciences·2026
Same author

Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

Using clinical notes to identify children with speech-language delay and understand differences in diagnostic timing.

JAMIA open·2026
Same author

Preoperative acute care spending predicts costs in bundled payment programs.

The American journal of managed care·2026
Same author

The Third Endourological Society Census Report.

Journal of endourology·2026
Same author

Comparative effectiveness of antidepressants for depression using EHRs from two health systems.

BMC psychiatry·2026

Related Experiment Video

Updated: Dec 2, 2025

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.1K

Development and Performance of a Clinical Decision Support Tool to Inform Resource Utilization for Elective

Benjamin A Goldstein1,2,3,4, Marcelo Cerullo5, Vijay Krishnamoorthy6,7

  • 1Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina.

JAMA Network Open
|November 2, 2020
PubMed
Summary

Hospitals can now assess elective procedure resource intensity with a new clinical decision support tool. This tool uses predictive modeling to inform case scheduling and improve resource utilization in surgical care.

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

7.9K
E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
06:28

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

8.6K

Related Experiment Videos

Last Updated: Dec 2, 2025

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.1K
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

7.9K
E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
06:28

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

8.6K

Area of Science:

  • Health Informatics
  • Predictive Analytics
  • Surgical Operations Management

Background:

  • Elective procedures were halted during the COVID-19 pandemic, necessitating new methods for resource allocation.
  • Hospitals need efficient tools to manage resources as elective surgeries resume.

Purpose of the Study:

  • To develop and validate a clinical decision support tool for predicting resource utilization in elective procedures.
  • To inform hospital resource management and case scheduling.

Main Methods:

  • A prognostic study utilizing predictive modeling on retrospective electronic health records from 42,199 patients across three hospitals.
  • The random forests algorithm was employed to predict outcomes like length of stay and need for intensive care.
  • Data included case type, demographics, comorbidities, and medications, analyzed from January 2017 to March 2020.

Main Results:

  • The tool accurately predicted hospital length of stay, ICU stay, mechanical ventilation, and discharge disposition (AUC 0.76-0.93).
  • High-risk and medium-risk classifications achieved 95% sensitivity, with 99% negative predictive value for low-risk cases.
  • Models were integrated into a Tableau dashboard for daily decision-making support.

Conclusions:

  • The developed clinical decision support tool is actively used to guide elective surgical case scheduling.
  • This demonstrates the value of quantitative modeling and a learning healthcare system in optimizing surgical care delivery.