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

644
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...
644
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

973
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
973
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

847
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
847
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

581
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
581
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

236
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
236
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

1.0K
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
1.0K

You might also read

Related Articles

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

Sort by
Same author

From the Page to the Plate: Designing an Accessible Nutrition Resource Through Community-Engaged Research.

Global advances in integrative medicine and health·2026
Same author

A mixed-methods longitudinal observational study exploring physical activity during pregnancy in women with pre-existing diabetes, support needs and associations with diabetes management: a study protocol.

BMJ open·2026
Same author

LIPID MAPS: Powering discovery in lipidomics.

Science signaling·2026
Same author

Effect of breaking up sitting with regular active breaks on glucose management and vascular function in adults with type 1 diabetes who use hybrid closed-loop insulin delivery systems: a randomised crossover trial protocol.

BMJ open sport & exercise medicine·2026
Same author

Gestational age-specific reference values of placental morphological parameters for singleton deliveries in the Chinese population.

Placenta·2026
Same author

Optical Fiber pH and Dissolved Oxygen Sensors for Bioreactor Monitoring: A Review.

Sensors (Basel, Switzerland)·2026
Same journal

Causal intervention validation of gene regulatory signals in scGPT.

Journal of biomedical informatics·2026
Same journal

CoAff-DTI: Fine-grained drug-target interaction prediction using pre-trained language models and affinity-guided mechanisms.

Journal of biomedical informatics·2026
Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026
Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026
Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026
Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026
See all related articles

Related Experiment Video

Updated: Sep 29, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

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

Published on: February 23, 2019

8.9K

Process data analytics for hospital case-mix planning.

Robert Andrews1, Kanika Goel1, Paul Corry2

  • 1School of Information Systems, Queensland University of Technology, Brisbane, Australia.

Journal of Biomedical Informatics
|March 26, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an automated process mining solution to improve hospital patient case-mix planning and resource utilization. It enhances capacity assessment and detects process variations for better hospital management.

Keywords:
Capacity assessmentHospital case-mix planningProcess mining

More Related Videos

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.7K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K

Related Experiment Videos

Last Updated: Sep 29, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

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

Published on: February 23, 2019

8.9K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.7K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K

Area of Science:

  • Health Informatics
  • Operations Research
  • Process Mining

Background:

  • Hospital patient case-mix significantly impacts resource utilization.
  • Current case-mix planning methods are largely manual, despite technological advancements.

Purpose of the Study:

  • To investigate how process mining can inform hospital case-mix planning.
  • To explore the use of process data for hospital capacity assessment and case-mix planning.

Main Methods:

  • Developed an automated workflow for process mining analysis and capacity assessment in collaboration with Queensland Children's Hospital.
  • Utilized process mining to detect process performance and variations within hospital operations.
  • Implemented a novel capacity assessment model based on limiting-resource saturation.

Main Results:

  • An automated workflow was created to support both process mining and capacity assessment.
  • Process mining analysis successfully identified process performance and variations.
  • A new capacity assessment model was developed using limiting-resource saturation.

Conclusions:

  • Process mining offers a powerful, automated approach to enhance hospital case-mix planning.
  • The developed solution improves resource utilization and hospital capacity assessment.
  • Automated analysis of process data leads to more informed and efficient hospital management.