AMIA 2018 Annual Symposium

San Francisco, CA

Booth #501

Come meet IMO clinicians, medical coders and content specialists to learn about maintaining the integrity of clinical data within and outside the EHR. Stop by and learn how we maintain clinical intent within the patient record and the effects that this has to the healthcare system at large.

Hilton San Francisco Union Square

Nov 3 - Nov 7, 2018


Calling All Informatics Innovators

Get you innovation funded and go to market faster
Jump start your latest innovation in medical informatics by applying to participate in the 2018 AMIA Pitch IT competition! We are seeking entrepreneurs that have new applications of medical or biomedical informatics at the point of care to improve workflow, decision support, and analytics. You will have the chance of a lifetime to present your unique opportunity to a panel of highly successful entrepreneurs and investors, along with an audience of industry leaders during the AMIA 2018 Symposium in San Francisco CA. Successful pitches will receive a minimum of $5,000 up to $25,000 to fund development.

How Does It Work?

Five applicants will be selected as finalists and invited to attend the AMIA 2018 Annual Symposium in San Francisco, CA on November 5, 2018. The finalists will give a five-minute pitch of their innovation to a panel of judges during the symposium. After the pitch, there will be a nine-minute question and answer period from the panel and audience.

Key Dates

  • September 7, 2018 application period opens
  • October 5, 2018 application period closes
  • Monday, November 5 Pitch IT Competition at AMIA 2018 in San Francisco CA

How to Apply

Apply at MedStartr.com/AMIA18

Awards

Up to three innovators will be awarded $5,000 up to $25,000.



Presentation Schedule

November 6th at 5:45pm - Hilton San Francisco Union Square

Andrew Kanter, MD, FACMI

How Artificial Intelligence Will Remake Clinical Decision Support

Abstract: EHRs have developed into reliable and useful tools, yet still have shortcomings that must be addressed.  Artificial Intelligence and Machine Learning hold great promise to turn existing system into more powerful tools for clinical decision support and predictive analytics, and this presentation will cover important new directions in these and other areas.

Description: Electronic Health Records (EHRs) have developed into reliable and useful tools for clinical documentation and submitting codes for reimbursement payments, yet have created new problems with excessive notifications and EHR fatigue on the part of clinicians.  Developers believe that Artificial Intelligence and Machine Learning hold great promise to turn existing system into more intuitive and powerful tools to assist clinicians for clinical decision support and predictive analytics.  Automating routine functions with AI is another goal, affecting order entry and documentation of the clinical encounter. This presentation will cover these and other new ways that AI and Machine Learning will help improve the delivery of health care, with a robust terminology system at the foundation.

 


November 6th at 10:55am - Hilton San Francisco Union Square

Steven Rube, MD, FAAFP, Medical Director of Clinical Services and Integration

Making sense out of your dirty data: Leverage IMO Terminology Solutions to maintain or restore data integrity for both primary and secondary uses

Abstract: Healthcare institutions have a growing need for solutions that will allow them to utilize clinical data both within and outside of the EHR.  IMO stands uniquely poised to develop and deliver such solutions.

Description: As healthcare institutions attempt to deal with their ever-increasing amount of clinical data, they face the significant challenge of dealing with the disparate quality of that data and its understanding in the aggregate for risk analysis or cohort identification.  During this focus group discussion, we will provide an overview and seek feedback on services available to restore and maintain the quality of clinical data and promote its understanding of how it affects virtually every aspect of the healthcare ecosystem, from documentation to population health management to revenue cycle optimization.  We will focus on methods of cleaning-up “dirty data”, data normalization, the importance of timely updates, improving the utility of the problem list, and the significant role value-sets for cohort identification will play. We will also discuss the Fast Healthcare Interoperability Resource (FHIR) standard.  In addition, we will provide specific examples of how these will impact the bottom line.


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