AI, BIG DATA, AND ANALYTICS: Current Landscape & Future Outlook

When:
May 29, 2024
Noon to 1 p.m.
Where:
Zoom
Event category: Other
Virtual

The Wayne State University School of Medicine Office of Faculty Affairs and Professional Development welcomes all members of our community to join us for a special interactive discussion: 

 AI, BIG DATA, AND ANALYTICS: Current Landscape & Future Outlook

McKinsey's Global Institute foresaw in 2011 that big data analysis would become a crucial competitive factor for firms, driving productivity, innovation, and consumer benefit. Today, over 85% of Fortune 1000 companies are engaged in or planning big data initiatives, primarily to enhance decision-making. However, implementing big data management and analytics poses challenges due to the complexity of tools and skills required. Many companies still rely on traditional methods, limiting the impact of data analytics. To achieve significant results, there's a need for more effective backend tools and greater emphasis on data-driven processes.

Additionally, this talk will discuss findings from collaborations with Henry Ford Health System and the Children's Hospital of Michigan. The former examines the benefits of "early task initiation" using near real-time operational intelligence in hospitals, demonstrating the effectiveness of proactive bed reservation signals in reducing emergency department patient boarding. The latter explores how AI can aid radiologists in interpreting MRIs for neonates.

Learning Objectives

  • Understand the importance of big data for improving decision making
  • Understand the different types of analytics and their applications
  • Understand the reasons for growth in machine learning and AI
  • Understand the benefits for big data and analytics in healthcare through case studies 

Moderators:

Teena Chopra, MD, MPH
Assistant Dean of Faculty Development and Coaching, Clinical Professor and Director of Epidemiology and Antibiotic Stewardship

Guest Speaker:

Ratna Babu Chinnam, Ph.D.

Dr. Ratna Babu Chinnam is an expert in AI, Big Data & Business Analytics and is a Professor and Chair of the Industrial & Systems Engineering Department at Wayne State University. He is the author of over 150 technical publications (journal articles, conference proceedings, and research reports). His research interests include business analytics, big data, operations management, supply chain management, sustainability, healthcare, and smart engineering systems. He is currently the Associate Editor for the International Journal of Modeling and Simulation, the International Journal of Quality, Statistics, and Reliability, and the North American Editor for the Journal of Remanufacturing. His past research is funded by the U.S. NSF, DoT, DoD, DoEd, and VA. He carried out collaborative research with such multi-national companies as Ford Motor Company, General Dynamics, Intel, Goodyear, and consulted for such companies as Chrysler, Sirius Satellite Radio, Energy Conversion Devices, Dominos, CapGemini, Faurecia, Whirlpool, Steelcase, MRF Tyres, Magna International, DataFactZ, and Tecton.

He graduated over 50 doctoral students with many occupying academic positions and is awarded the 2012 Outstanding Graduate Mentor Award by Wayne State University. In 2022, he received an Outstanding Professor Award from the Industrial Engineering & Operations Management Society. He is a Founding Director for the IndustryX: Center for Operational Excellence and AI, Big Data, & Business Analytics organizations at Wayne State University. He is also the founding Director of the Global Executive PhD Track at Wayne State, the first such engineering PhD program in the U.S. He leads the Business Analytics Spoke for the NSF's Midwest Big Data Hub. He is also the Founding Director for the novel Data Science & Business Analytics MS Degree at Wayne State. His students have won a number of best paper awards from national and international conferences, journals, and professional societies.

He received his B.S. degree in Mechanical Engineering from Manipal Institute of Technology of Mangalore University (India) in 1988 and the M.S. and Ph.D. degrees in Industrial Engineering from Texas Tech University (U.S.A.) in 1990 and 1994, respectively.

Speakers: Have no commercial/financial relationships

Planning Committee Members: Basim Dubaybo, M.D. (Activity Director), Teena Chopra, M.D., Lauren Hamel, M.D., Claire Pearson, M.D., Kate Laimbeer and Kailah Weatherspoon have no commercial/financial relationships.

Target Audience: Wayne State University School of Medicine faculty, staff, medical students, fellow and residents

The Wayne State University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

The Wayne State University School of Medicine designates this live activity for a maximum of 1 AMA PRA Category 1 Credit (s) TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Disclosure of Conflicts of Interest: This program is not related to specific diseases or conditions but rather deal exclusively with medical education. Therefore, there are no potential conflicts of interest with ineligible companies as defined by ACCME and there is no need to identify, disclose or mitigate commercial conflicts of interest.

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