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

653
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...
653
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

1.1K
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
1.1K
Traditional Level Of Health Care System01:26

Traditional Level Of Health Care System

3.0K
The levels of care describe the services provided in the healthcare system. Accordingly, there are six levels of the traditional healthcare system in the US: preventive, primary, secondary, tertiary, restorative, and continuing healthcare. A nurse must understand how the healthcare industry organizes and provides services within these levels of care.
The preventive healthcare service includes tests for screening. Preventive health care services include identifying and reducing disease risk...
3.0K
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

1.9K
The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
1.9K
Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

13.7K
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
13.7K
Fundamentals of Nursing Process I01:27

Fundamentals of Nursing Process I

7.3K
The nursing process is the core of practice for every registered nurse to deliver holistic, patient-focused care. The following are the five steps in the nursing process.
7.3K

You might also read

Related Articles

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

Sort by
Same author

Role of Technology Acceptance in the Telerehabilitation of Patients With Metabolic Syndrome: Longitudinal Study.

JMIR rehabilitation and assistive technologies·2026
Same author

Text-Based Classification of Mitral Valve Disease Severity from Echocardiography Reports.

Studies in health technology and informatics·2026
Same author

Merging geographic regions for the analysis of the cardiological rehabilitation care system in Hungary.

International journal of health geographics·2026
Same author

Improved analytical workflow towards machine learning supported N-glycomics-based biomarker discovery.

Talanta·2025
Same author

Classifying Type 2 Diabetes Using N-Glycan Profiling and Machine Learning Algorithms.

Studies in health technology and informatics·2025
Same author

Outpatient Scheduling with Genetic Algorithm: The Power of Mutation Operators.

Studies in health technology and informatics·2025

Related Experiment Video

Updated: Oct 8, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.5K

Multi-level process mining methodology for exploring disease-specific care processes.

Ágnes Vathy-Fogarassy1, István Vassányi2, István Kósa2

  • 1University of Pannonia, Department of Computer Science and Systems Technology 8200 Veszprém, Egyetem u. 10., Hungary.

Journal of Biomedical Informatics
|December 26, 2021
PubMed
Summary

A new process mining methodology, MEDCP, was developed to analyze complex healthcare processes. This method effectively identifies patterns and anomalies in disease-specific care, aiding system optimization.

Keywords:
CardiologyClinical pathwayHealthcare treatment sequenceMulti-level analysisOncologyProcess mining

More Related Videos

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

3.8K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.8K

Related Experiment Videos

Last Updated: Oct 8, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.5K
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

3.8K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.8K

Area of Science:

  • Health Informatics
  • Process Mining
  • Healthcare Systems Analysis

Background:

  • Traditional process mining tools struggle with the complexity and variability of public healthcare protocols.
  • Specialized methods are needed to effectively analyze intricate healthcare processes and patient journeys.

Purpose of the Study:

  • To develop a universally applicable process mining methodology for exploring disease-specific care pathways.
  • The goal is to enhance the analysis of healthcare processes for better insights and system improvements.

Main Methods:

  • The proposed Process Mining Methodology for Exploring Disease-specific Care Processes (MEDCP) uses a multi-level expert taxonomy for systematic event log refinement.
  • Domain-specific rules define treatment processes, identifying key start and end events.
  • Taxonomy concepts support process definition for meaningful expert conclusions.

Main Results:

  • MEDCP was validated in cardiology and oncology care studies in Hungary over ten years.
  • The methodology identified high-level event patterns and system anomalies, like provider volume differences in oncology.
  • Cardiology study revealed geographically clustered providers with similar care spectra.

Conclusions:

  • MEDCP enhances standard process mining, providing interpretable, high-level conclusions for domain experts.
  • The methodology offers system-level insights crucial for optimizing and planning healthcare delivery.
  • This approach facilitates evidence-based decision-making for healthcare system efficiency.