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

Nursing Clinical Information System01:27

Nursing Clinical Information System

824
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:
824
Integrated Healthcare System01:20

Integrated Healthcare System

1.7K
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,...
1.7K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

875
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
875
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

931
Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
931
Purpose of Health Records I01:11

Purpose of Health Records I

1.3K
The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
1.3K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

598
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...
598

You might also read

Related Articles

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

Sort by
Same author

Four-year safety and effectiveness data from patients with multiple sclerosis treated with fingolimod: The Spanish GILENYA registry.

PloS one·2021
Same author

Public Health Implications of Bioinformatics.

Yearbook of medical informatics·2016
Same author

Inflammasome-dependent IL-1β release depends upon membrane permeabilisation.

Cell death and differentiation·2016
Same author

Big data in medicine is driving big changes.

Yearbook of medical informatics·2014
Same author

Discussion of "Biomedical informatics: we are what we publish".

Methods of information in medicine·2013
Same author

Social Media for the Promotion of Holistic Self-Participatory Care: An Evidence Based Approach. Contribution of the IMIA Social Media Working Group.

Yearbook of medical informatics·2013

Related Experiment Video

Updated: Jul 25, 2025

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.4K

Using Redcap to Support the Development of a Learning Healthcare System for Patients with Multiple Sclerosis.

M Viguera1, F Martin-Sanchez2, M E Marzo3

  • 1U.N.E.D.

Studies in Health Technology and Informatics
|June 30, 2023
PubMed
Summary
This summary is machine-generated.

This study develops a Learning Healthcare System (LHS) to improve Multiple Sclerosis (MS) patient care by reducing diagnostic uncertainty and enhancing treatment decisions. The LHS utilizes patient data to provide more accurate prognoses and support clinical practice.

Keywords:
Learning health systemMultiple sclerosisPatient-reported outcomes

More Related Videos

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
11:35

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

58.1K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K

Related Experiment Videos

Last Updated: Jul 25, 2025

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.4K
The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
11:35

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

58.1K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K

Area of Science:

  • Neuroscience
  • Health Informatics
  • Clinical Decision Support

Background:

  • Multiple Sclerosis (MS) presents diverse phenotypes, complicating short-term clinical decisions regarding treatment and prognosis.
  • Current MS diagnosis is often retrospective, highlighting a need for improved predictive capabilities.
  • Learning Healthcare Systems (LHS) offer a framework for continuous improvement in clinical practice through data-driven insights.

Purpose of the Study:

  • To develop a Learning Healthcare System (LHS) aimed at reducing uncertainty in Multiple Sclerosis (MS) management.
  • To leverage patient data for more accurate prognosis and evidence-based clinical decision-making in MS.
  • To create a continuously improving system for MS patient care.

Main Methods:

  • Bibliographical research was conducted to identify relevant Clinical Reported Outcomes (CRO) and Patient Reported Outcomes (PRO) for MS.
  • A data collection and management protocol was designed using ReDCAP for CRO and PRO data.
  • A cohort of 300 MS patients is being followed for 18 months, with ongoing data collection.

Main Results:

  • Currently, 93 patients have been enrolled in the study.
  • 64 complete and 1 partial response from patient data have been received.
  • The collected data will form the foundation for developing the LHS.

Conclusions:

  • The developed LHS aims to provide accurate prognoses for MS patients.
  • The system is designed for automatic data inclusion and algorithmic improvement over time.
  • This approach seeks to enhance clinical practice and reduce diagnostic uncertainty in MS.