2018 September JAMIA Journal Club Webinar

September 13, 2018
3:00PM
4:00PM
EST
Fee: 
Free for AMIA members; $50 for non-members.
Presenters: 
Daniel Feller, MS; Lena Mamykina, PhD

A visual analytics approach for pattern-recognition in patient-generated data

Co-authors Daniel Feller and Lena Mamykina will discuss this month's JAMIA Journal Club selection:

Feller DJ, Burgermaster M, Levine ME, Smaldone A, Davidson PG, Albers DJ, Mamykina L. A visual analytics approach for pattern-recognition in patient-generated data. J Am Med Inform Assoc. 2018 Jun 13. doi: 10.1093/jamia/ocy054. [Epub ahead of print]

Presenters

Daniel Feller, MS
PhD Candidate, Biomedical Informatics
Columbia University
New York, NY

Mr. Feller’s research interests include the development of solutions for care coordination that incorporate machine learning and NLP. He has a background in public health and HIV treatment.

Lena Mamykina, PhD
Assistant Professor
Department of Biomedical Informatics
Columbia University
New York, NY


Format

  • 30-minute discussion between the authors and the JAMIA Student Editorial Board moderators including salient features of the published study and its potential impact on practice.
  • 30-minute discussion of questions submitted by listeners via the webinar tools and moderated by JAMIA Student Editorial Board members

Managers

JAMIA Journal Club managers and monthly moderators are JAMIA Student Editorial Board members:

Kelson Zawack, PhD, Postdoctoral Fellow, Biostatistics Department, Yale University, New Haven, CT 


Tiffany J. Callahan, MPH, PhD Candidate, Computational Bioscience Program at the University of Colorado Denver Anschutz Medical Campus, Aurora, CO



Moderator

Leah Rae Yingling, PhD Candidate, Bioinformatics Informatics Department, University of Utah, Salt Lake City, UT



Citation

The PubMed citation for the paper under discussion is:

Feller DJ, Burgermaster M, Levine ME, Smaldone A, Davidson PG, Albers DJ, Mamykina L. A visual analytics approach for pattern-recognition in patient-generated data. J Am Med Inform Assoc. 2018 Jun 13. doi: 10.1093/jamia/ocy054. [Epub ahead of print]

Students who are not AMIA members, but whose academic institutions are members of the Academic Forum, are eligible for a complimentary JAMIA Journal Club registration. Please contact Susanne Arnold at susanne@amia.org for the discount code. In the email, please include: full name, Academic Department, and the primary Academic Forum representative of that Academic Department. Note that AMIA Student memberships are $50, which allow access to JAMIA, all JAMIA Journal Clubs, and other webinars of interest to the biomedical informatics community. 

Statement of Purpose

The widespread adoption of mobile health technology (mHealth) has generated exponential growth in the volume of patient-generated data (PGD), raising concerns about information overload among physicians. As a result, there exist considerable concerns regarding successful integration of PGD into clinical workflows. Interactive visualizations that leverage data science methods are increasingly recognized as potential solutions for information overload in healthcare. We hypothesized that visual analytics applied to self-monitoring data can support clinical decision-making in the context of chronic disease management. With a specific focus on nutritional therapy for individuals with type-2 diabetes, we used participatory design to develop Glucolyzer, an interactive tool that uses hierarchical clustering and heatmap visualizations to reveal systematic associations between nutritional content of meals and glycemic response.

Target Audience

The target audience for this activity is professionals and students interested in biomedical and health informatics.

Learning Objectives

After this live activity, the participant should be better able to:

  • Understand how visual analytics can mitigate information overload experienced by healthcare providers
  • Use participatory design to develop interactive systems to support review of patient-generated data

Faculty

Daniel Feller, MS
PhD Candidate, Biomedical Informatics
Columbia University
New York, NY

Lena Mamykina, PhD
Assistant Professor
Department of Biomedical Informatics
Columbia University
New York, NY

Accreditation Statement

The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Credit Designation Statement

The American Medical Informatics Association designates this live activity for a maximum of 1 AMA PRA Category 1 Credit(s)™ Physicians should claim only the credit commensurate with the extent of their participation in the activity. 

Criteria for Successful Completion

Completion of this live activity is demonstrated by:

  • Viewing the live webinar
  • Optional submission of questions via webinar feature
  • Completion of the evaluation survey in the course
  • Completion of the credit claim (physicians only)

For a certificate of completion, contact Pesha@amia.org.

Note that the archived webinar does not offer continuing education credit. 

Commercial Support

No commercial support was received for this activity.

Disclosure Policy

As a provider accredited by the ACCME, AMIA requires that everyone who is in a position to control the content of an educational activity disclose all relevant financial relationships with any commercial interest for 12 months prior to the educational activity.

The ACCME considers relationships of the person involved in the CME activity to include financial relationships of a spouse or partner.

Faculty and planners who refuse to disclose relevant financial relationships will be disqualified from participating in the CME activity. For an individual with no relevant financial relationship(s), the participants must be informed that no conflicts of interest or financial relationship(s) exist.

AMIA uses a number of methods to resolve potential conflicts of interest, including: limiting content of the presentation to that which has been reviewed by one or more peer reviewers; ensuring that all scientific research referred to conforms to generally accepted standards of experimental design, data collection, and analysis; undertaking review of the educational activity by a content reviewer to evaluate for potential bias, balance in presentation, evidence-based content or other indicators of integrity, and absence of bias; monitoring the educational activity to evaluate for commercial bias in the presentation; and/or reviewing participant feedback to evaluate for commercial bias in the activity.

Disclosures for this Activity

These faculty, planners, and staff who are in a position to control the content of this activity disclose that they and their life partners have no relevant financial relationships with commercial interests: 

JAMIA Journal Club Faculty: Daniel Feller, Lena Mamykina
JAMIA Journal Club planners: Kelson Zawack, Tiffany J. Callahan, Leah Rae Yingling 
AMIA staff: Susanne Arnold, Pesha Rubinstein
JAMIA Student Editorial Board Advisor: Michael Chiang

Contact Info

For questions about content or CE, email Pesha@amia.org. For questions about webinar access, email Susanne@amia.org