Digital Transformation from NASA to Healthcare Systems

Healthcare mergers and acquisitions (M&A) offer opportunities for hospitals and health systems to consolidate resources and improve competitiveness but often come with challenges such as increased costs and regulatory scrutiny. Digital transformation, particularly through digital twin technology, can enhance pre- and post-merger integration. Leveraging expertise gained from NASA's digital transformation, GTC Analytics offers solutions using Model-Based Systems Engineering (MBSE) and the Unified Architecture Framework (UAF) to create digital twins of healthcare enterprises. This approach provides real-time insights, optimizes operations, and enables trade-off analyses, addressing M&A challenges, enhancing decision-making, and reducing healthcare costs.

After attending this presentation, the attendees will be able to describe the key challenges of healthcare mergers and acquisitions (M&A) and how digital transformation can mitigate these complexities while improving operational efficiency.

After attending this presentation, the attendees will be able to explain how digital twin technology, through Model-Based Systems Engineering (MBSE) and Unified Architecture Framework (UAF), can enhance pre- and post-merger integration in healthcare systems.

After attending this presentation, attendees will be able to describe the process of integrating siloed data sources into digital twins of medical enterprises. This provides a holistic view of the entire organization (a "crystal ball") to enhance decision-making and resource management in large healthcare organizations, ultimately reducing costs for consumers.

Authors

Roohollah Heidary holds a Ph.D. (2019) in reliability engineering from the University of Maryland, College Park, MD, USA. His expertise strongly emphasizes systems thinking and systems design capabilities, and he has extensive experience in model-based systems engineering, digital engineering, reliability engineering, and prognostics and health management (PHM) of complex systems. 

Jesse William, CTO of GTC Analytics, holds a PhD in Materials Science and Engineering from the University of California, Santa Barbara. He brings extensive expertise in systems thinking and systems design, with experience spanning systems engineering, machine learning, deep learning, and product development. Jesse has successfully managed a wide range of projects and developed system solutions for NASA, the Department of Defense (DoD), and the Department of Energy (DoE).

Matthew W. Dosberg leads and coordinates Digital Transformation activities across GSFC, which includes Digital Engineering, Data Science and Artificial Intelligence, Smart Campus, Smart Reviews, and other Information Technology innovation areas.