AMIA 2022 Annual Symposium Corporate Roundtables

Recent Advances and Common Challenges in EHR to EDC

FHIR adoption is on the rise. While the use-case of EHR to EDC seems obvious, sites for the most part remain pessimistic and content with decades old data-collection practices that have become industry standard. And results from sites who have helped forge this path to-date have yielded questions and unknowns around the variability of data mappings and custom flowsheets, FHIR versioning, data traceability and more. This creates a need for industry-wide discussions on how to standardize the processes for solving these challenges and wider collaborations. 

In this roundtable discussion, we will attempt to dissect the technical, operational, and philosophical approaches and limitations of these technologies and the industry’s shift to putting the interest and viability of sites at the center of clinical research.

Food and beverage will be offered during this Corporate Roundtable session.

Target Audience

• CRIO, Research Administration, FHIR specialists

Speakers:

• Sarim Khan, CEO
  Triomics, Inc. 
• Hrituraj Singh, CTO
  Triomics, Inc. 

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When it Comes to High-Performing CDS…Context is Everything

Clinical decision support (CDS) alerts are a critical component of a well-functioning system and can play a significant role in patient safety. However, some of these alerts may be inappropriate in a particular care scenario, ineffective, or nonspecific. Clinicians can become desensitized to alerts and may ignore important information. How can organizations maximize the use of technology to create and promote effective, targeted, relevant, and routinely updated alerts?

Please join our conversation about alert fatigue reduction strategies, including monitoring, analysis, and optimization of CDS. We will share progress deploying contextualized CDS that is patient and population-informed for more precise and personalized decision support.

We would like to hear your insights on relevant clinical scenarios and how you leverage analytics to further optimize CDS.

Target Audience

CMO, CMIO, CIO, Clinical Informaticists, Pharmacists, Physicians

Presenters

• Joan Kapusnik-Uner, PharmD, FCSHP, FASHP
  Vice President, Clinical Editorial
• Anna Dover, PharmD, BCPS
  Director, Product Management

Exploring the potential for identifying undocumented diagnoses in the EHR

The EHR is the essential tool used to capture, display, and retain a wealth of patient data. Standardized clinical terminology and tools such as problem list management help improve data quality. Yet, the question remains: Is there untapped potential to assess and connect disparate patient data in the EHR to find trends and patterns that might indicate a diagnosis or condition that was not documented explicitly?

IMO invites you to join our focus group discussion where we will explore the potential for using clinical data to find and prompt suggestions for missing clinical patient data, along with implications and considerations for usability and trust by caregivers.

Speakers

• Steven H. Rube, MD, FAMIA
  Chief Clinical Officer
• David Arco
  Senior Product Manager

Now That You’re Smart on FHIR, What’s Next?

The entry point for adoption of FHIR in provider organizations has been FHIR apps accessing data for individual patients.   The logical next step is to leverage FHIR for population health, analytics and digital transformation for patient engagement, but the FHIR REST API is not adaptable to these use cases.

We will discuss newer FHIR capabilities needed for collecting and analyzing data at scale.

The first is Bulk FHIR export. This FHIR server capability allows export of FHIR resources for population level cohorts, enabling population health, quality reporting, and clinical research.  It is required of EHR systems in 2023. The Bulk FHIR standard enables researchers to create a data warehouse by collecting data from a variety of electronic sources. We will discuss how this feature can be used to download population FHIR data securely and easily.

The second capability we will discuss is FHIR analytics. Analytics, machine learning, and decision support traditionally consume data in a relational format. However, FHIR data exists as a directed graph, so methods are needed to transform FHIR data relationally.    We will discuss a unique capability of InterSystems technology, called the FHIR SQL Builder, which can project FHIR resources into an SQL schema without moving the FHIR data. This FHIR tool allows the user to perform analytics on data in their FHIR repository in real time by creating relational transformations to support a broad range of analytics use cases.

Lastly, we will discuss the patient as consumer and how FHIR data can be leveraged for population health, especially consumer engagement. We will also discuss what challenges are often encountered and how FHIR can be used to overcome these challenges.

Speakers

• Patrick Jamieson, MD
  InterSystems
  Product Manager, IRIS for Health
• Julie Smith, MSHI, RN-BC, CEN
  InterSystems
  Senior Clinical Product Manager, HealthShare
• Russell Leftwich, MD, FAMIA
  InterSystems
  Senior Clinical Advisor, Interoperability

Role of Semantic Interoperability for the Modern Front-line Clinician

Access to a complete clinical picture can help optimize patient outcomes and reduce the burden on healthcare providers. Foundational interoperability is core to achieving this goal, but semantic interoperability ensures the data can be interpreted across various technology systems. Semantic interoperability offers the common health language for communication between providers and technology and is critical to facilitating medical decision-making at the point of care. The moderators will foster an engaging discussion among informaticists, clinicians, and healthcare executives on achieving improved clinical data interoperability.

Learning Objectives

• Examining the role of semantic interoperability in data exchange, user experience, and patient care;
• Exploring existing barriers to achieving semantic Interoperability utopia;
• Identifying opportunities for improvement that would optimize patient care across settings.

Moderators

• Dr. Natalee Agassi, MD, PharmD
  Lead Product Manager, Oracle Cerner
• Catherine Hoang, MS, BSN, FAMIA
  Associate Director, Terminology Services, VHA, HI, CIDMO, Knowledge-Based Systems (KBS)

An NLU platform to improve clinical documentation and drive incremental innovation

Technology is central to achieving some of the top goals identified by health care organizations including decreasing care variation, driving down clinician burnout, reducing operating costs and transforming care delivery. 3M M*Modal is committed to accelerating innovation of its natural language understanding (NLU) platform to meet these market needs in a holistic and effective manner.

Driving a progressive clinical documentation strategy, 3M clients can seamlessly transition from capturing the complete patient narrative by speech-enabling the EHR to effectively engaging clinicians with proactive nudges focused on clinical documentation improvement. In addition, 3M M*Modal supports HCC capture using computer-assisted physician documentation (CAPD) technology to close gaps in real time and reduce rework.

Moving further along the continuum, clients can leverage conversational AI to complete routine physician tasks like EHR documentation, chart search, order entry – and progress to ambient clinical documentation.

Please join us to engage with our experts on how the 3M M*Modal EHR-integrated, cloud-based technology framework helps clients achieve goals of creating time to care while improving the quality and efficiency of physician documentation workflows.

Speakers

• Sandeep Wadhwa, MD
  Global Chief Medical Officer
  3M Health Information Systems
• Travis Bias, DO
  Chief Medical Officer, Clinician Solutions
  3M Health Information Systems
• Arta Kelmendi-Doko, MD, PhD
  Product Manager
  3M Health Information Systems
• Dannie Greenlee, MS, RN
  NLU-CDI Manager
  3M Health Information Systems
• Rachael Howe, MS, RN
  Senior Manager, Clinical Informatics
  3M Health Information Systems

Clinical Research Informatics Roundtable with AWS

Clinical Research IT leaders at Academic Medical Centers around the country are all grappling with similar challenges. There’s a need to maintain ongoing operations while also modernizing their approach to managing research data repositories, data registries, data marts, and data warehouses for research. The Academic Medicine team at Amazon Web Services (AWS) invites Clinical Research Information Officers, CIOs, Deputy CIOs, Chairs & Vice Chairs of Biomedical Informatics, and other faculty leaders for a roundtable lunch to discuss best practices and lessons learned as institutions embark on or progress in their cloud journey. For AMIA Symposium attendees responsible for enabling their institutions to better leverage patient data for research, this dialogue will help us to collectively work together on better understanding how to best keep the lights on today within the clinical research IT enterprise while simultaneously migrating and modernizing the next gen academic landscape.

Speakers

• Stuart Clark
  Lead Executive Advisor, Academic Medicine
• Abdul Shaikh, PhD, MHSc
  Principal, Population Health Analytics
• Dawn Heisey-Grove, MPH, PhD
  Public Health Analytics Leader
• Ashwini Davison, MD, FACP, FAMIA
  Healthcare Executive Advisor