Session ID: 
36

Data Flow for Decision Support: A Digital Wasteland Journey

12:00pm - 1:00pm Tuesday, March 10
Orlando - Orange County Convention Center
W414A

Description

Interdisciplinary data interpretation and management, both clinically and operationally, is the standard in current medicine. Established interdisciplinary centers, such as organ-specific tumor boards, meet weekly to discuss the optimal patient care pathway. However, the data capturing along a patient pathway is still largely addressed in a department-oriented fashion, leading to a highly fragmented data landscape. The results are missing or ambiguous patient data elements that impede the efficacy of interdisciplinary teams, delay treatment and result in sub-optimal patient care. In this session University Hospital of Basel will present the novel approaches taken to mapping data using data science including natural language processing and AI-guided image analysis, and describe the learning from the implementation and pilot of an integrated decision support tool to aid operational and clinical decision making while also planning for future clinical data capturing systems designed with data-flow in mind.

Learning Objectives

  • Recognize the importance of a cross-disciplinary data-driven approach of data integration for integrated decision support
  • List at least two scenarios of application of machine learning in the context of data integration and decision support
  • Illustrate the challenges and potential opportunities when working on a cross-silo, data-driven approach within a hospital

Speaker(s)

Vice President, Research and Analytic Services, VC of Research in Radiology,
University Hospital Basel

Continuing Education Credits

ABPM
1.00
AHIMA
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience

Chief Quality, Chief Clin Transformation Officer
Clinical Informaticists
Information Management Professional

Level

Advanced