PV24 Speakers

Subject to change.

 

 

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Mustafa Yousif, MD, MS

Assistant Professor, University of Michigan


Mustafa Yousif, MD, MS, is an assistant professor in the Department of Pathology and the director of digital pathology at the University of Michigan - Michigan Medicine. He completed his residency in clinical and anatomical pathology at Wake Forest University School of Medicine in 2019, followed by fellowships in pathology informatics at the University of Michigan and pathology breast and gynecology at the University of Pittsburgh.

 

 

SESSIONS

[SIIM] The Road to Digital Pathology: Resources and Lessons from Enterprise Imaging with SIIM
   Sun, Nov 3
   11:00AM - 12:00PM ET
  Regency O

Join us for an engaging session that explores the transformative world of digital pathology! This session is designed to touch on the unique workflows and infrastructure essential for digital pathology, all within the broader landscape of enterprise imaging. You'll learn from the wealth of experience gathered from a community of medical specialties that have successfully embraced digital transformation as part of enterprise imaging strategies. We'll also introduce you to SIIM (Society for Imaging Informatics in Medicine) and its invaluable resources, along with educational opportunities that can sharpen your skills. Plus, discover how the DICOM standard is not just a technical requirement but a powerful tool to elevate your pathology practice to the next level. Whether you're just starting your digital journey or looking to enhance your current approach, this session will provide the insights and tools you need to succeed.

Lessons from integrating digital pathology into clinical enterprise imaging at Michigan medicine
   Tue, Nov 5
   12:55PM - 01:15PM ET
  Regency P

Our journey at Michigan Medicine involves integrating the pathology department into our Clinical Enterprise Imaging (CEI) program. We're using a centralized Picture Archiving and Communication System (PACS) to transform the department into a fully digital operation. Our goal is to achieve primary diagnosis by [summer 2024], a significant milestone in our digital transformation. This process will enhance interoperability and diagnostic precision through the Digital Imaging and Communications in Medicine (DICOM) standardization across various imaging modalities.Enterprise imaging is a comprehensive approach that involves capturing, analyzing, routing, and managing clinical images and multimedia content from various specialties in a seamless workflow. Our modern enterprise imaging systems integrate radiology, pathology, dermatology, and other fields using a vendor-neutral format for managing and storing images. This approach ensures comprehensive access to imaging data, enabling physicians to diagnose, share insights, and make informed patient-care decisions. By connecting previously siloed information and leveraging standards like DICOM and HL7, we're enhancing the diagnostic and treatment process across multiple specialties. The DICOM standardization plays a crucial role in this, ensuring compatibility with standards-compliant applications and avoiding future data migrations.Our journey toward a cohesive digital pathology environment began with a collective effort. We standardized DICOM protocols across multiple scanners, addressing vendor hesitance and limitations. This collaborative approach has not only improved system integration and accessibility but also fostered a sense of shared accomplishment. Implementing robust quality control workflows using DICOM metadata has significantly enhanced the accuracy and reliability of our diagnostics, a testament to our collective dedication.Integrating metadata from our Laboratory Information System (LIS) with our PACS has also streamlined diagnostics and boosted interdisciplinary collaboration. We utilize HL7 information to fill the DICOM headers before the data resides in the Vendor Neutral Archive (VNA). Our ongoing projects include developing a PACS-driven workflow that integrates LIS and Electronic Health Records (EHR) systems, further enhancing diagnostic efficiency and functionality.In summary, this oral presentation will cover the lessons learned from integrating digital pathology into our Clinical Enterprise Imaging program at Michigan Medicine. It will focus on the five pillars of functionality in enterprise imaging at Michigan Medicine, including image capture, storage, viewing modality, image exchange workflow, and analytics. Additionally, it will highlight the importance of the CEI Cross-functional Technical Support Team and CEI Governance-steering, Operations, and Stewardship committees.

 

Learning Objectives

  1. Understand the integration process of the pathology department into the Clinical Enterprise Imaging program at Michigan Medicine, including the use of a centralized Picture Archiving and Communication System.         
  2. Comprehend the comprehensive approach of enterprise imaging, which involves capturing, analyzing, routing, and managing clinical images and multimedia content across various specialties using a vendor-neutral format, and the role of DICOM and HL7 standardization in enhancing interoperability and diagnostic precision.        
  3. Recognize the collaborative efforts and quality control workflows implemented to standardize DICOM protocols, and integrate metadata from the Laboratory Information System with Picture Archiving and Communication System.
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