Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Issues And Trends In Healthcare Delivery System

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 Model

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...

You might also read

Related Articles

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

Sort by

Same author

Process Mining on FHIR AuditEvents: Conformance Checking with a Standard Operating Procedure for Chest Pain.

Studies in health technology and informatics·2026

Same author

Managing Incompatible FHIR Implementation Guides in a Single Backend: Namespace-Based Storage in Neo4j and Multi-Profile Delivery.

Studies in health technology and informatics·2026

Same author

Adherence to Guidelines Supported by Process Mining.

Studies in health technology and informatics·2025

Same author

Dual Implementation Guides in FHIR and CDA.

Studies in health technology and informatics·2024

Same author

Generating Actionable Insights from Patient Medical Records and Structured Clinical Knowledge.

Studies in health technology and informatics·2024

Same author

Multi-Perspective Process Mining Interfaces for HL7 AuditEvent Repositories: XES and OCEL.

Studies in health technology and informatics·2023

Same journal

The Essential Components and Critical Conditions for Success in a Learning Health System in Oncology.

Studies in health technology and informatics·2026

Same journal

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

Studies in health technology and informatics·2026

Same journal

Movement Related Biomechanics in Adolescent Idiopathic Scoliosis: A Review of Reviews.

Studies in health technology and informatics·2026

Same journal

The Impact of Surgical Correction of Adolescent Idiopathic Scoliosis Using Posterior Spinal Fusion on Selected Radiological Parameters and Respiratory Function.

Studies in health technology and informatics·2026

Same journal

Acute Effect of Physio-logic® Exercises on Muscle Tone and Stiffness in Adolescent Idiopathic Scoliosis Patients: A Preliminary Study.

Studies in health technology and informatics·2026

Same journal

Effects of Integrated Music and Occupational Therapy on Motor and Autonomic Function in Children with Neurogenic Scoliosis.

Studies in health technology and informatics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 24, 2026

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

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

Published on: February 23, 2019

Leveraging Synthetic Patient Data for Process Mining in Healthcare.

Selina Adlberger¹, Sophie Bauernfeind¹, Mitch van den Broek¹

¹University of Applied Sciences Upper Austria.

Studies in Health Technology and Informatics

|May 23, 2026

Summary

This summary is machine-generated.

This study introduces a method using synthetic patient data and HL7 FHIR AuditEvent Resources for healthcare process mining. It demonstrates accurate process reconstruction, overcoming data privacy barriers for workflow optimization.

Keywords:

Audit Logs FHIR Process Mining Synthea Synthetic Data

More Related Videos

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

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

Published on: April 12, 2021

Related Experiment Videos

Last Updated: May 24, 2026

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

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

Published on: February 23, 2019

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

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

Published on: April 12, 2021

Area of Science:

Health Informatics
Data Science
Process Mining

Background:

Process mining in healthcare faces challenges due to data privacy and restricted access to real-world patient data.
Optimizing workflows and ensuring guideline compliance are key goals for healthcare process mining.

Purpose of the Study:

To develop a methodological infrastructure for healthcare process mining using synthetic patient data.
To evaluate the feasibility and accuracy of reconstructing healthcare processes from synthetic data.

Main Methods:

Generated synthetic patient data using Synthea.
Integrated HL7 FHIR AuditEvent Resources to create standardized audit logs.
Converted audit logs to process mining formats (XES, OCEL) for analysis.

Main Results:

Demonstrated accurate process reconstruction from synthetic healthcare data.
Evaluated the influence of data volume on process mining accuracy.
Identified challenges including missing events and limitations of FHIR R4 AuditEvent.

Conclusions:

Synthetic patient data, when structured with FHIR AuditEvent Resources, can effectively support healthcare process mining.
The proposed methodology shows promise for overcoming data privacy issues in healthcare process analysis.
Further validation in real-world scenarios is needed to confirm practical effectiveness.