Past Grand Rounds

2019

: 2024 E Monument St, second floor auditorium (in the back)

"Augmenting Clinical Intelligence with Machine Intelligence"

Suchi Saria Ph.D.

Suchi Saria is the John C. Malone Assistant Professor of computer science, statistics, and health policy and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She is also the founding Research Director of the Malone Center for Engineering in Healthcare at Hopkins. Her research focuses on developing next generation diagnostic and treatment planning tools that leverage statistical methods to individualize care. Towards this, her methodological work focuses on questions such as: How can we combine different sources of information with prior knowledge to derive actionable inferences? How can we characterize and improve reliability of the resulting inferences in challenging real- world settings? How can we support and augment decision-making in safety-critical domains?

Her work has received recognition in numerous forms including best paper awards at machine learning, informatics, and medical venues, a Rambus Fellowship (2004-2010), an NSF Computing Innovation Fellowship (2011), selection by IEEE Intelligent Systems to Artificial Intelligence’s “10 to Watch” (2015), the DARPA Young Faculty Award (2016), MIT Technology Review’s ‘35 Innovators under 35’ (2017), the Sloan Research Fellowship (2018), and the World Economic Forum Young Global Leader (2018). In 2017, her work was among four research contributions presented by Dr. France Córdova, Director of the National Science Foundation to Congress’ Commerce, Justice Science Appropriations Committee. She was invited to join the National Academy of Engineering’s Frontiers of Engineering in 2017 and more recently to theNational Academy of Medicine’s Emerging Leaders in Health and Medicine. Saria joined Hopkins in 2012. Prior to that, she received her PhD from Stanford University working with Prof. Daphne Koller.

2018

: 2024 E Monument St, second floor auditorium (in the back)

"Applications of Natural Language Processing in Identifying Language Disorders"

Masoud Rouhizadeh, PhD

Dr. Masoud Rouhizadeh is a Natural Language Processing expert at the Center for Clinical Data Analysis (CCDA), a Founding Member of the Center for Clinical Natural Language Processing (C2NLP), and a Faculty Instructor at the Center of Excellence Analytics in Medicine Program (CAMP) within the Johns Hopkins School of Medicine. He obtained his Ph.D. from Oregon Health and Science University (2015) and continued with postdoctoral training at the University of Pennsylvania (2017). His research focuses on text mining and information extraction methods to identify disease, medications, symptoms, and signs from clinical text, as well as artificial intelligence techniques for sentiment analysis, opinion mining, and exploring social determinants of health. He has also worked on detecting signals relevant to mental well-being and mental health conditions such as autism, depression, cognitive impairment, and dementia.

: 2024 E Monument St, second floor auditorium (in the back)

"Challenges in Transforming Big Data into Actionable Knowledge"

Louiqa Raschid Ph.D. and Maria-Esther Vidal Ph.D.

: 2024 E Monument St, second floor auditorium (in the back)

"Connecting Healthcare and Public Health through a Digital Bridge"

Jim Jellison
Mary Ann Cooney, RN, MPH
John Stinn, MBA
Walter Suarez, MD
Roland Gamache, PhD, MBA

: 2024 E Monument St, second floor auditorium (in the back)

"Digital Pathology at Johns Hopkins: Practical Research and Clinical Considerations"

Alexander S Baras MD PhD

: 2024 E Monument St, second floor auditorium (in the back)

"Access to Multiple Reports of Clinical Trials: Problems or Solutions"

Tianjing Li, PhD

: 2024 E Monument St, second floor auditorium (in the back)

"There can be no AI without IA"

Christopher G Chute MD DrPH, Paul Nagy PhD, and Diana Gumas MS

: 2024 E Monument St, second floor auditorium (in the back)

"Clinical Natural Language Processing Combined with Other Techniques to Support Decision Making"

Taxiarchis Botsis MSc PhD

: 2024 E Monument St, second floor auditorium (in the back)

"What Do We Know about the Accuracy of Electronic Medical Record Data?"

Kelly T. Gleason BSN PhD

: 2024 E Monument St, second floor auditorium (in the back)

"Transitions in care from hospital to home care: Identifying informatics opportunities to support nurse decision making through improved health information technology (HIT)"

Paulina Sockolow DrPH MS MBA and Ellen J. Bass, Ph.D.

: 2024 E Monument St, second floor auditorium (in the back)

FHIR, RDF and the Semantic Web

Harold R. Solbrig, MS

: 2024 E. Monument St, second floor auditorium (in the back)

"The Role of Commercial Video Games in Health Informatics: Is The Cake a Lie?"

Michelle Colder Carras PhD

: 2024 E. Monument St, second floor auditorium (in the back)

"NLM: A Platform for Biomedical Discovery and Data-Powered Health" NO CME

Patricia Flatley Brennan RN PhD

: 2024 East Monument Street 2nd Auditorium in the back

"Data Quality in Healthcare Big Data Resources: Methods and a Case Study"

Vojtech Huser, MD PhD

: 2024 East Monument Street, Second Floor Auditorium in the back

"Technologies and interventions in medication non-adherence"

Gorkem Sevinc, MS

: 2024 E. Monument St, second floor auditorium (in the back)

"mHealth Behaviour Change Programmes: development, cultural adaptation and co-design processes from New Zealand"

Robyn Whittaker, MD

: 2024 E Monument St, second floor auditorium (in the back)

"Facilitating Self-Reflection on Personal Health Data"

Eun Kyoung Choe, PhD

: 2024 E. Monument St, second floor auditorium (in the back)

"Barriers to Evidence-Based Research and Informatics Tools to Overcome Them"

Hans Lund, PhD

: 2024 E. Monument Street, 2nd Flr. Auditorium

“Designing, operating, and supporting the Peace Corps’ EMR for the far corners of the world”

Thomas Wilkinson, Kim Skrtic, and Lindsey Knauf

2017

: 2024 E Monument St, second floor auditorium

"Accessible artificial intelligence for biomedical informatics"

Jason Moore, PhD

: 2024 E Monument St, second floor auditorium

"Intelligent Digital Voice Assist in Healthcare"

Ahmed Hassoon, MD MPH

: 2024 E Monument St, second floor auditorium

"Real World Clinical Decision Support: Lessons from the Front Line"

Amy Knight, MD

: 2024 E Monument St, second floor auditorium

"Social Security and Interoperability"

Shaun Lusby

: 2024 E Monument St, second floor auditorium

"Truth versus Truthiness in Clinical Data: Drawing Sensible Conclusions from Retrospective Analytics"

Mark Weiner, MD

: 2024 E Monuments St, 2nd floor auditorium

“Older Adults’ Patient Portal Use: What is Really Happening Nationwide?”

Eun-Shimm Nahm, PhD RN FAAN