Mco: Project Management in Health Data Science: Experiences from Duke AI Health

This is a joint event between NCPMI Higher Education Community of Practice (HECoP), and Duke Project Management Community of Practice. The event is free and open to anyone interested in project management. Please join the session shortly before 12:00 pm.

Health data science relies on many traditional project management methods but also has additional complexities of technological complexity, cutting-edge methods, and a rapidly-evolving landscape. In this informal panel discussion, you’ll hear from several senior staff members of AI Health about their experiences in project management and program management, and their perspectives on challenges, best practices, and lessons learned. Duke AI Health (https://aihealth.duke.edu/) connects, strengthens, amplifies, and grows multiple streams of theoretical and applied research on artificial intelligence and machine learning in order to answer the most urgent and difficult challenges in medicine and population health. This discussion will be especially relevant to anyone who manages technical projects or is considering the landscape of artificial intelligence and machine learning.

Speakers:

Shelley Rusincovitch, MMCi; Associate Director of Informatics
Rusincovitch is an informaticist and technical leader who specializes in healthcare data for secondary research and data science experiential learning, with a focus on artificial intelligence and machine learning. She is currently serving as the Interim Managing Director for Duke AI Health, a group focused on advancing ethical and equitable data science at Duke and beyond.

Nicoleta Economou-Zavlanos, PhD; Program Director, Algorithm-Based Clinical Decision Support (ABCDS) Oversight
Economou leads the operations and framework design effort for the governance, evaluation, and monitoring of ABCDS software at Duke; this ABCDS Oversight is a Duke Health synergistic effort between the SOM and the Duke University Health System.

Andrew Olson, MPP; Associate Director, Policy Strategy and Solutions for Health Data Science
Andrew Olson, MPP, is a health policy specialist and experienced project leader. In his role with AI Health, he helps develop demonstration projects and other initiatives that address or inform critical health policy issues, and facilitates the translation of health data science discoveries to a policy audience.

Ursula Rogers; Senior Informaticist
Rogers is Senior Informaticist for AI Health, where she brings 25 years of experience in data management and software development. Her role at Duke AI Health brings expertise in understanding, extracting, and curating data from the EHR and other clinical data sources for the purposes of Clinical Research, QI, and Operations

Register

NCPMI member attendees will be uploaded for PDU credit after the end of the session. Please allow up to 2 weeks for recording. In support of improving patient care, the Duke University Health System Department of Clinical Education and Professional Development is accredited by the American Nurses Credentialing Center (ANCC), the Accreditation Council for Pharmacy Education (ACPE), and the Accreditation Council for Continuing Medical Education (ACCME), to provide continuing education for the health care team. Duke University Health System Clinical Education and Professional Development are authorized to offer 0.1 CEUs for this program.

Category 1: Duke University Health System Department of Clinical Education and Professional Development designates this educational activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)TM. Physicians should claim only credit commensurate with the extent of their participation in the activity.