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

Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

1.0K
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...
1.0K
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

4.3K
When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
4.3K
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

1.7K
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
1.7K
Nursing Diagnosis01:22

Nursing Diagnosis

4.6K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
4.6K
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
Planning Nursing Care II01:29

Planning Nursing Care II

4.2K
A nursing care plan can present in two forms: informal and formal. Informal is a care plan for the individual use of the nurse and goals they wish to accomplish during their shift. Informal care plans are not included in the patient chart. A formal nursing care plan is a written or computerized guide that organizes patient care. It is further subdivided into two: standardized and individualized care plans. Standardized care plans are pre-populated care plans for specific patient populations,...
4.2K

You might also read

Related Articles

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

Sort by
Same author

Relationships between multimodal ocular imaging and white matter hyperintensity volume.

Quantitative imaging in medicine and surgery·2025
Same author

Atorvastatin pretreatment, ST-segment resolution and long-term prognosis for ST-segment elevation myocardial infarction with primary percutaneous coronary intervention.

International journal of cardiology. Heart & vasculature·2025
Same author

Age and gender-related changes in choroidal thickness: Insights from deep learning analysis of swept-source OCT images.

Photodiagnosis and photodynamic therapy·2025
Same author

Deep learning-based anterior segment identification and parameter assessment of primary angle closure disease in ultrasound biomicroscopy images.

BMJ open ophthalmology·2025
Same author

Evaluation of an acne lesion detection and severity grading model for Chinese population in online and offline healthcare scenarios.

Scientific reports·2025
Same author

Automated measurement and correlation analysis of fundus tessellation and optic disc characteristics in myopia.

Scientific reports·2024

Related Experiment Video

Updated: Apr 5, 2026

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
08:13

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

7.2K

Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways.

Xiang Li1, Haifeng Liu1, Jing Mei1

  • 1IBM Research, Beijing, China.

Studies in Health Technology and Informatics
|August 12, 2015
PubMed
Summary

This study introduces a method to discover clinical pathway constraints from electronic medical records (EMR). It identifies event-condition-action (ECA) rules linked to positive patient outcomes, aiding clinical decision support.

More Related Videos

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

1.1K

Related Experiment Videos

Last Updated: Apr 5, 2026

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
08:13

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

7.2K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

1.1K

Area of Science:

  • Health Informatics
  • Clinical Decision Support Systems
  • Data Mining in Healthcare

Background:

  • Clinical pathways standardize care but defining effective constraints is challenging due to population and regional variations.
  • Existing methods struggle to capture the complex temporal and data dependencies crucial for best practices in care pathways.

Purpose of the Study:

  • To propose an approach for discovering temporal and data constraints correlated with positive clinical outcomes within care pathways.
  • To automate the identification of best practices from electronic medical records (EMR) for improved patient care.

Main Methods:

  • Utilized a modified association rule mining algorithm to extract event-condition-action (ECA) rules from EMR data.
  • Developed a method to identify the most significant ECA rules associated with positive patient outcomes for specific activities.
  • Translated these optimal ECA rules into actionable constraints for care pathway activities.

Main Results:

  • Successfully applied the approach to real-world EMR data, discovering meaningful constraints for type 2 diabetes patient groups.
  • Identified specific temporal and data preconditions that significantly correlate with improved clinical outcomes.
  • Demonstrated the potential for data-driven constraint discovery in optimizing clinical pathways.

Conclusions:

  • The proposed method effectively discovers clinically relevant temporal and data constraints from EMR data.
  • These discovered constraints can enhance clinical decision support systems and personalize patient care pathways.
  • This approach offers a scalable solution for refining best practices in healthcare delivery.