New England HIMSS Clinical Informatics 3 Part Series - Exploring AI in the Clinical World
Join New England HIMSS Clinical Informatics Council for a series exploring AI in the clinical world
Target Audience
This activity is intended for providers, nurses, pharmacists and allied healthcare professionals who are engaged in patient care and interested in wellness, unwellness and the downstream impacts on both clinicians and patients. The event will be a discussion between industry leaders with a focus clinician wellness in the virtual world (i.e., remote work), applications and benefits for wellness and its use in the workplace, and how clinicians can take into account the idea of whole care and burnout. Participants will have the opportunity to engage in a panel discussion.
There will be 3 sessions from 12-1:30pm.
- March 3rd - AI, A Cautionary Tale
- March 10th - The Ups and Downs of AI: A Clinician's Point of View
- March 17th- The Future of AI
Ticket prices are inclusive of all 3 sessions. You only need to register for 1 of the events and you will have access to all 3!
$35 members
$55 non-members
$35 NENIC members
NE HIMSS Clinical Informatics Series - Session 1: AI: A Cautionary Tale
DATE: MARCH 3, 2023 12PM TO 1:30PM
Artificial intelligence-enhanced capabilities are bringing speech recognition to the forefront, benefiting both clinicians and consumers. Conversational AI makes automated processes more human by allowing for speech translation and recognition features to be built into applications and workflows. This session will provide an overview of current and future uses of Voice AI.
Learning Objectives:
- Outline what AI platforms and technologies are out there to improve efficiency and derive value
- Define value from various perspectives: reducing physician workload, improving revenue, demonstrating better quality measures, driving physician and patient satisfaction
- Discuss transforming the mechanics of healthcare
Highlight real-world examples of organizational adjustments to tackle
Yangming Ou, PhD
- Faculty, Fetal-Neontal NeuroImaging Data Science Center (FNNDSC); Affiliate Faculty, Computational Health Informatics Program (CHIP), Assistant Professor of Radiology, Harvard Medical School
- Dr. Ou holds a PhD degree in Medical Image Analysis and an MS degree in Applied Mathematics, both from the University of Pennsylvania. His BS degree was in Electrical Engineering (Biomedical Engineering Division) from Tsinghua University. His research interest lies in the intersection of big data, machine learning, data science, imaging informatics, and healthcare.
- Dr. Yangming Ou's research focuses on improving healthcare by medical image analysis, machine learning and imaging informatics.
- One pillar of Dr. Ou's lab is in developing MRI analysis and MRI machine learning algorithms. This includes algorithms for spatiotemporal MRI analysis, multi-modal MRI integration, quantification of normal brain development, detection of abnormalities, prediction of outcomes, treatment evaluation, and disease subtyping.
Dr. Budman, CMIO Nuance
Dr. Budman is a Chief Medical Information Officer with almost 40 years of clinical experience and 20 leadership years in primary care practices, hospital groups, integrated delivery networks, and multi-hospital systems deploying new workflows and EHR's. Currently, he is a full-time physician executive at Nuance. He is board-certified in Family Medicine and Clinical Informatics. In addition, Dr. Budman was a clinical professor of Family Medicine at UC- Irvine with a teaching award from his students. He has extensive experience in utilization review and clinical documentation excellence as a former CDI-P working with CDI teams. At Nuance Dr. Budman adds his broad multi-service line experience assisting physicians and organizations success with technology for efficient and compliant documentation. This supports a better clinical narrative, billing and coding, case mix index, and other key metrics for organization success. The use of AI technology can advance physician/organizational performance, reduce burnout, and leverage many efficiencies. His integration with project teams, physician leaders, and C-suite executives is essential to developing strategies for solutioning, implementation, ongoing support, and customer success.
NE HIMSS Clinical Informatics Series - Session 2: The Ups and Downs of AI: A Clinician's Point of View
DATE: MARCH 10, 2023 12PM TO 1:30PM
Patricia C. Dykes, PhD, MA, RN
Senior Nurse Scientist and Research Program Director, Brigham and Women's Hospital
Assistant Professor of Medicine at Harvard Medical School
Michael K. Hyder, MD
Executive Director – UMMH Center of Digital Health Solutions
Population Health Medical Director - Digital Health
Kimiyoshi Kobayashi MD, MBA
NE HIMSS Clinical Informatics Series - Session 1: The Future of AI
DATE: MARCH 17, 2023 12PM TO 1:30PM
Yannis Paschalidis is a Distinguished Professor in the College of Engineering at Boston University with joint appointments in the Department of Electrical and Computer Engineering, the Division of Systems Engineering, and the Department of Biomedical Engineering. He is also a Founding Professor of Computing & Data Sciences
Dimitris Bertsimas is the Boeing Leaders for Global Operations Professor of Management, a Professor of Operations Research, and the Associate Dean for the Master of Business Analytics at MIT.
Wenyu Song, Ph.D., M.B.I. Instructor at Harvard Medical School, The Brigham & Women's Hospital.