Journal of Digital Imaging Open Access Article

Henri Primo, Matthew Bishop, Louis Lannum, Dawn Cram, Abe Nader & Roger Boodoo

Abstract

An enterprise imaging (EI) strategy is an organized plan to optimize the electronic health record (EHR) so that healthcare providers have intuitive and immediate access to all patient clinical images and their associated documentation, regardless of source. We describe ten steps recommended to achieve the goal of implementing EI for an institution. The first step is to define and access all images used for medical decision-making. Next, demonstrate how EI is a powerful strategy for enhancing patient and caregiver experience, improving population health, and reducing cost. Then, it is recommended that one must understand the specialties and their clinical workflow challenges as related to imaging. Step four is to create a strategy to improve quality of care and patient safety with EI. Step five demonstrates how EI can reduce costs. Then, show how EI can help enhance the patient experience. Step seven suggests how EI can enhance the work life of caregivers and step eight describes how to develop EI governance. Step nine describes the plan to implement an EI project, and finally, step 10, to understand cybersecurity from a patient safety perspective and to protect images from accidental and malicious intrusion.

Publish Date

Jun 8, 2019

Topic

  • HIMSS-SIIM

Resource Type

  • Original Paper
  • White Paper

Audience Type

  • Clinician
  • Developer
  • Imaging IT
  • Researcher/Scientist

Resource

Scientific Abstracts from the 2024 Conference on Machine Intelligence in Medical Imaging (CMIMI)

Oct 28, 2024

A collection of 73 cutting-edge scientific abstracts that were presented at the 2024 Conference on Machine Intelligence in Medical Imaging…

Resource

SIIM Machine Learning & Research Committees: AI in Imaging Informatics

Oct 4, 2024

The SIIM Machine Learning and Research Committees are pivotal in advancing the organization’s strategy to position imaging informaticists at the…

Resource

Topological Deep Learning: Transforming Medical Imaging

Oct 3, 2024

Topological Deep Learning is a groundbreaking approach that is transforming medical imaging. By combining the power of deep learning with…