AMIA 2020 Annual Symposium Corporate Roundtable Registration

AMIA corporate roundtables are hosted by AMIA partners looking to engage with AMIA leaders and informatics subject matter experts. Participation in corporate roundtables is voluntary and based on your interest in the topic and availability. The small focus groups are unique Annual Symposium sessions for attendees to learn about the latest industry innovations, share user experience, provide critical feedback on current programs and most importantly, inform future industry program and product development. Attendees will learn what important biomedical and health informatics issues these companies are exploring.

Roundtables are by invitation only and are not eligible for CME/CE. Please select your top choices below, making sure your selections do not conflict with one another. You may select to join three (3) roundtables from the registration list below. Click on the dates to learn more about the roundtables available at those times.

Enter to Win 2021 AMIA Membership

All roundtable participants that participate* in a 2020 corporate roundtable will be entered into a drawing to win one (1) 2021 AMIA Individual Membership! A total of six (6) 2021 AMIA Memberships will be given away as part of the 2020 corporate roundtable program.

AND… several of our hosts are providing roundtable participants UberEats gift cards! See below.

Sign me up, what’s next?

Step one: Fill out the form below.
Step two: If accepted, you will receive an email confirmation from Kathryn Hitchcock, Director of Industry Partnerships, the week before Annual Symposium.
Step three: A calendar invite with a link to the session will be sent.

At-a-Glance AMIA 2020 Video Corporate Roundtable

Monday, November 16

How Can We Make Clinicians Delighted with CDS?

Presenters: Donald Levick, MD, MBA, CPE, FHIMSS & Anna Dover, PharmD, BCPS

Description: Although the use of clinical decision support (CDS) tools have helped to reduce medication errors and improve patient outcomes, they have fallen short of their full potential. Consequently, clinician acceptance and satisfaction with CDS remains substandard. The appropriate use of these tools – including the reduction of "alert fatigue" – remains a focus for many healthcare organizations.

Dr. Donald Levick will lead our roundtable where he will share his focus as a health system CMIO on not only patient safety and quality improvement but on clinician satisfaction with the EHR. Dr. Levick – who is the co-author of the HIMSS 2012 Book of the Year: "Improving Outcomes with Clinical Decision Support" – will share how his ongoing interest in effective CDS fueled successful implementations of pharmacogenomics and other targeted medication warning CDS.

Please join us to learn more from Dr. Levick and to share your insights and experiences in to helping to raise satisfaction level among clinicians with CDS.

In this roundtable, we will:

Discuss current and historical challenges in medication decision support and ask attendees to share insights on how to make it more meaningful and patient specific.
Share best practices attendee organizations leverage for high-performing clinical decision support.
Discuss the importance of analytics to achieve optimal clinical decision support, including current challenges with available data.
Learn from an experienced CMIO about a “patient-first” approach to medication management that leverages additional inputs including lab results, genomic markers, and clinical scoring/surveillance systems.

Target Audience: CMO, CMIO, CIO, Clinical Informaticists, Pharmacists, Physicians

Integrating Genomic Data into the EHR and Clinical Workflow: Overcoming Challenges

Presenters:
Frank Naeymi-Rad, PHD, MBA, Chairman, Leap of Faith Technologies
Bob Dolin, MD, Senior Informaticist, Elimu Informatics
Barbara Rapchak, BS, Founder and Chief Innovation Officer, Leap of Faith Technologies

Description:By 2025, between 100 million and 2 billion human genomes will have been sequenced. This remarkable progress in genomics discovery has given us insights into complex human traits and disease and opens the door to a new era in medical treatments. How do we use this data to deliver better healthcare? Personal genomics opens the door to a new era in healthcare. But clinicians need to be able to access this wealth of data and understand how to interpret and act upon it. During this roundtable discussion, we will explore how a genetic platform that links genomic data with clinical data in the electronic health record (EHR) can create a more comprehensive, interactive map of human health that can be intersected with medical knowledge to guide providers through the deluge of expanding treatment options in order to deliver more precise treatment. We will discuss barriers and facilitators to EHR integration, as well as the best ways to store, share, and analyze genomic data. The goal is to discover and understand the best ways to create an environment for genomics innovators and clinicians that removes barriers to precision medicine.

Target Audience: Innovators in genomics, CMIOs, Subject Matter Experts, Clinical Informaticists, Data Analysts, Researchers, EHR Vendors

Managing Prescription Friction: How Price Transparency Technology Can Empower Physicians and Support Meaningful Behavior Change

Presenters:

Kyle Kiser, President and Chief Strategy Officer, RxRevu
Megan Holsopple, PharmD, Clinical Pharmacy Coordinator, RxRevu
Additional health system leaders to be announced

Description: Throughout the prescribing process, patients and providers face friction due to an abundance of technical hurdles, inaccurate data, and time-consuming tasks. Real-Time Prescription Benefit (RTPB) technology can alleviate many of these burdens, while allowing for more informed patient conversations and prescription decision-making. It is more important than ever to empower physicians with real-time coverage data so they can prescribe lower-cost drug alternatives, provide convenient pick-up/delivery options, and avoid unnecessary administrative tasks.

In this session, we will discuss how price transparency technology has evolved over the course of the last year, and how RTPB can support a positive patient experience while driving pharmacy revenue. Key learning objectives include:

Strategies to empower physicians with meaningful data at the point-of-care
Best practices for RTPB implementation and success
How innovations in RTPB data have improved physician receptivity
How leaders can leverage RTPB to inform their pharmacy strategy and drive prescription capture

Target Audience: Target participants:

Contacts at hospitals/health systems using Epic
Attendees who manage or are involved in the ePrescribing workflow, make decisions on new technologies within the EHR, manage physician processes and improvements, and influence the patient experience.
Medical Informatics (CMIO, clinical informatics, clinical information, medical records, CMO, medical affairs)
IT/Technology (CTO, CIO, innovation officer, information technology, strategy, EHR/application owner)
Pharmacy (chief pharmacy officer, director/VP of pharmacy, pharmacy strategy, pharmacy operations)

Tuesday, November 17

Use of Clinical Data for Research and Clinical Trials

Description: InterSystems is a global data technology company involved in data capture, data storage, data access and interoperability, including data transformation. InterSystems products and technology connect systems and devices within organizations and regionally in health information networks. InterSystems technology is massively scalable horizontally and vertically. In this focus group, we would like to understand your current challenges around accessing and aggregating data in EHR systems and other databases in your organization and outside.

What are your challenges around data quality, data aggregation, and data transformation?
What are your challenges around recruitment and cohort identification?
What are your challenges around accessing data outside your institution and organization?
Do you have challenges around data throughput for ML and other AI uses?
Do you have challenges around data transformation for required reporting?
Do you have challenges around data access and collection for surveillance and large pragmatic studies?

Target Audience: CROs, CRIOs, CDOs, CMIOs, CHIOs, CIOs, CTSA leads, informatics program directors

Tuesday: Morning Roundtable

Presenters: Jon Morrow, MD (SVP and Physician Executive), Ziv Ofek (MDClone CEO), Josh Rubel (MDClone CCO), Noa Zamstein (Senior Data Scientist)

Description: During this session, the MDClone team will introduce a new platform strategy to optimize the use of data in research and operations. MDClone's ADAMS platform allows Academic Medical Centers to organize disparate and complex data into self-service exploration tools which include MDClone's unique synthetic data publishing features. With examples in the US, Canada, and Israel, the MDClone team will review potential uses of the technology including COVID-19 research, performance improvement, and cross-institution research collaboration. We are interested in hearing feedback through a thoughtful discussion on the value and limitations of the approach and any potential barriers to adoption.

Target Audience: Leaders of clinical research teams, innovation organizations, or researchers

Leveraging incremental natural language understanding and methodologies to drive better clinical outcomes and physician experience

Description:
We are living through an intense period of change triggered by a health care crisis that has emphasized the system’s need to be agile, responsive, data driven and cost effective. 3M has always valued incremental innovation built on a robust natural language understanding (NLU) technology platform that is both extensible and flexible, so that targeted applications and workflows can be purpose-built quickly and effectively.

This advanced technology infrastructure offers a smarter way to support complex goals by driving a deep, real time understanding of the medical record and the patient’s clinical condition. This meaningful understanding can then be leveraged to build applications in support of sustainable physician engagement, clinical documentation integrity (CDI), risk-adjustment documentation – and even deliver real-time COVID-19 related insights. Our NLU platform serves as an adaptable framework to aggregate, abstract and present clinical information, both structured and unstructured. By combining NLU technology with speech recognition, we can deliver real time, high value clinical intelligence to physicians as they document in any EHR. Join us to discuss how to create time to care, deliver a better physician experience and drive improved clinical outcomes.

Presenters:
Dr. Vasudevan Jagannathan, PhD, VP of Research, 3M M*Modal
Dan Engel, Senior Product Manager, 3M M*Modal
Dan Engel is a Sr. Product Manager responsible for their 3MTM M*Modal HCC Management solution and is focused on the challenges faced by clinicians and healthcare providers. Dan works to ensure the strategic vision of the company is executed to deliver outcomes related to creating time to care, revenue integrity, and improved patient care. Dan joined M*Modal in 2011 after graduating with a master’s degree in Health Information Systems from the University of Pittsburgh. He also earned his bachelor’s degree from Pitt in 2009 majoring in biology and chemistry.

Data-driven healthcare: A discussion on data acquisition and management processes, challenges and use cases

Description: Healthcare is going through a period of rapid change and sound, data-driven clinical and financial decision-making is more important than ever. To adequately support this decision-making, healthcare systems have a growing need for complete and accurate patient data. Unfortunately, the quality, accuracy, and completeness of patient data is highly variable given limited standardization in point of care documentation and interoperability.
Intelligent Medical Objects invites you to join us for an industry focus group to discuss:

Clinical and technological challenges that negatively impact data quality
Common clinical, financial, and operational uses cases for patient data
Current methods for ingesting, aggregating, transforming patient data to support decision making
Challenges with managing and manipulating data to support decision making

Target Audience: Clinical SMEs (MDs, RNs, CMIOs); Informatics professionals (CIOs, CDOs, HIE or EDW leadership); Government policymakers in the areas quality improvement, interoperability

AI in Health Care: Defining expectations, identifying risks and determining the role of AI in a dynamic health care environment

Description:
Over the past several decades, technology in health care has been focused on capturing and storing data, creating a robust electronic health record (EHR) with the goal of deriving insights and intelligence from that data. As most clinicians would agree, we have not yet achieved that goal; however, with the increasing advancements in artificial intelligence (AI) and machine learning (ML), coupled with the data that has been collected, we are now in a position to deliver on the promise of a "cognitive" system—one that's open, connected and intelligent. This executive dialogue will examine the perception of intelligence technologies and discuss its impact and influence on health care. Hear leading innovators in the industry discuss how they define success in the context of implementing AI and the challenges of AI integration such as system errors, risk to patient privacy, inferences and bias, and the strategies for addressing these challenges.

Target Audience: Wide audience of all types and sizes

Speaker Details: Heidi Zimmerman, RN, BSN, Director, Cerner Intelligence

Wednesday, November 18

Use of Clinical Data for Research and Clinical Trials

What are your challenges around data quality, data aggregation, and data transformation?
What are your challenges around recruitment and cohort identification?
What are your challenges around accessing data outside your institution and organization?
Do you have challenges around data throughput for ML and other AI uses?
Do you have challenges around data transformation for required reporting?
Do you have challenges around data access and collection for surveillance and large pragmatic studies?

Target Audience: CROs, CRIOs, CDOs, CMIOs, CHIOs, CIOs, CTSA leads, informatics program directors

The 9 Biggest Trends That Will Transform the Future of Health care

Description: The recent COVID-19 pandemic brought into focus just how critical health care capacity is to our global health and economic prosperity. At the same time our health care providers face an increasing burden on their ability to perform optimally. Innovation and technology will continue to be key ways to address these issues. Learn about these and the 9 biggest trends that will transform the future of health care for our global system, our health care providers, and for the health care technology industry.

Speaker: Tanuj Gupta, MD, MBA, Vice President & Physician Executive, Cerner Intelligence

Target Audience: Wide audience of all types and sizes