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.

Highlights

  • 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

  • Enterprise imaging (EI) has been defined as “a set of strategies, initiatives and workflows implemented across a healthcare enterprise to consistently and optimally capture, index, manage, store, distribute, view, exchange, and analyze all clinical imaging and multimedia content to enhance the electronic health record.” [1]

  • Healthcare providers must be able to both contribute image and video content to the electronic health record and access images and video created by other clinic appointments and procedures, such as radiology, cardiology, pathology, dermatology, ophthalmology, point of care ultrasound, and endoscopy

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Summary

Improving population health

Imaging analytics and artificial intelligence applications can provide the information needed (population surveillance) to facilitate preventative programs to manage the health of populations. Mammography, colonoscopy for colon cancer, abdominal aortal aneurysm, and low-dose CT lung screening are good examples. The importance of having these data available in the EHR is well recognized. Adding the evidence images to the textual information increases the value of the information in the EHR for Population Health Management (PHM) staff. The EI VNA provides a centralized and straightforward data access point for both clinical and business analytics tools

Reducing costs
Traditional imaging data
Visible light imaging data
Multimedia imaging data
Waveforms
Findings
Conclusion
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