Track 11: Pathology Informatics

Track Overview:

Pathology Informatics is the integration of information technology, data analytics, and computational tools into pathology practice to improve the accuracy, efficiency, and quality of diagnostics. This track will explore how informatics is transforming pathology workflows through digital data management, advanced analytics, and seamless integration with other healthcare technologies. Attendees will learn how pathology informatics enables better data sharing, decision-making, and overall patient care.

Key Topics:

Data Management in Pathology: Techniques for organizing, storing, and managing large volumes of pathology data, including digital slides, patient records, and molecular data.

Integration with Electronic Health Records (EHR): How pathology informatics integrates pathology data with EHR systems to create a unified patient record and streamline clinical workflows.

Clinical Decision Support Systems (CDSS): The role of informatics tools in providing pathologists with decision support, improving diagnostic accuracy, and assisting in treatment planning.

Big Data and Advanced Analytics: Leveraging big data analytics to identify trends, predict patient outcomes, and optimize diagnostic processes in pathology.

Telepathology and Data Sharing: The use of informatics solutions to enable remote pathology consultations and enhance collaboration between institutions, ensuring timely diagnoses.

Security and Compliance in Pathology Informatics: Addressing data privacy, cybersecurity, and regulatory compliance (such as HIPAA) in the management and sharing of pathology data.

Learning Objectives:

Understand the role of informatics in modernizing pathology workflows and improving diagnostic accuracy.

Learn about the integration of pathology data with EHRs and other healthcare systems for comprehensive patient care.

Discover the benefits of clinical decision support systems (CDSS) in pathology practice.

Explore the use of big data and analytics to improve pathology processes and patient outcomes.

Gain insights into telepathology and data sharing solutions that enable remote consultations and cross-institution collaboration.

Understand the importance of data security and compliance in pathology informatics.

Target Audience:

Pathologists, healthcare IT professionals, data scientists, informatics specialists, laboratory directors, and clinicians interested in integrating informatics into pathology practice.

Speakers/Presenters:

Experts in pathology informatics and digital health technologies.

Researchers and developers in big data analytics, AI, and machine learning in pathology.

Healthcare professionals involved in informatics and healthcare system integration.

Conclusion:

This track will provide a comprehensive understanding of how pathology informatics is reshaping the landscape of pathology, from data management to decision support systems. It will showcase how digital tools, big data, and AI are improving workflows, enhancing collaboration, and ultimately leading to better patient outcomes.