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

You might also read

Related Articles

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

Sort by
Same author

Ocular Imaging Challenges, Current State, and a Path to Interoperability: A HIMSS-SIIM Enterprise Imaging Community Whitepaper.

Journal of imaging informatics in medicineĀ·2024
Same author

Celebrating 10 Years of the HIMSS-SIIM Enterprise Imaging Community and Enterprise Imaging Informatics.

Journal of imaging informatics in medicineĀ·2024
Same author

HIMSS-SIIM Enterprise Imaging Community White Papers: Reflections and Future Directions.

Journal of imaging informatics in medicineĀ·2024
Same author

Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

RadiologyĀ·2022
Same author

Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper.

Journal of digital imagingĀ·2022
Same author

Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

RadiologyĀ·2022

Related Experiment Video

Updated: Mar 19, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.3K

Enterprise Imaging Governance: HIMSS-SIIM Collaborative White Paper.

Christopher J Roth1,2, Louis M Lannum3, Carol L Joseph4

  • 1Duke Health Technology Solutions, Hock Plaza, 2424 Erwin Road, Durham, NC, 27705, USA. Christopher.roth@duke.edu.

Journal of Digital Imaging
|June 16, 2016
PubMed
Summary

Enterprise imaging governance is crucial for health enterprises. This paper details a framework for optimal governance across program, technology, information, clinical, and financial areas.

Keywords:
Diagnostic ImagingDigital Image ManagementDigital ImagingDigital Imaging and Communications in Medicine (DICOM)Electronic Medical Record (EMR)Enterprise ImagingEnterprise PACSGovernanceImage DataImage DisplayImage DistributionImaging InformaticsMultimediaPACSPACS Administration

More Related Videos

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

1.3K
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
06:18

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

1.7K

Related Experiment Videos

Last Updated: Mar 19, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.3K
Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

1.3K
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
06:18

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

1.7K

Area of Science:

  • Health Informatics
  • Information Governance
  • Clinical Informatics

Background:

  • Enterprise imaging governance is a growing necessity in healthcare.
  • Optimal management of enterprise images requires a structured approach.
  • Existing governance models offer insights but require adaptation for imaging.

Purpose of the Study:

  • To outline a decision-making body, framework, and process for enterprise imaging governance.
  • To detail five key areas of focus for imaging governance: program, technology, information, clinical, and financial.
  • To compare and contrast imaging governance with other established horizontal governance groups.

Main Methods:

  • The white paper highlights a comprehensive framework for enterprise imaging governance.
  • It details the essential components of an effective governance structure.
  • Comparative analysis with electronic health record governance is discussed.

Main Results:

  • A structured approach to enterprise imaging governance is presented.
  • Five critical domains for governance are identified and explained.
  • Guidance is provided for establishing or optimizing imaging governance programs.

Conclusions:

  • Effective enterprise imaging governance is essential for modern health enterprises.
  • The proposed framework supports optimal capture, storage, and analysis of enterprise images.
  • Health informatics leaders can utilize this framework to enhance imaging program management.