Conference Agenda (All times are shown in Mountain Daylight Time)

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
Paper Session 07: Information Interactions with the Healthcare System
Time:
Sunday, 31/Oct/2021:
4:00pm - 5:30pm

Session Chair: Souvick Ghosh, San José State University, USA
Location: Salon C, Lobby Level, Marriott


As time permits, moderators will facilitate reflective discussions at the end of sessions! These will be opportunities to have extra discussion on key points, synergies, and provocative elements of the papers.


External Resource:
Presentations
4:00pm - 4:30pm
ID: 137 / PS-07: 1
Long Papers
Confirmation 1: I/we agree if this paper/presentation is accepted, all authors/panelists listed as “presenters” will present during the Annual Meeting and will pay and register at least for the day of the presentation.
Confirmation 2: I/we further agree presenting authors/panelists who have not registered on or before the early bird registration deadline will be removed from the conference program, and their paper will be removed from the Proceedings.
Confirmation 3: I/we acknowledge that all session authors/presenters have read and agree to the ASIS&T Annual Meeting Policies found at https://www.asist.org/am21/submission-types-instructions/
Topics: Domain-Specific Informatics
Keywords: Alpha-Gal meat allergy, clinician–patient relationship, clinical notes

Using Symptoms and Healthcare Encounters to Capture a Rare Disease: A Study of Clinical Notes of the Alpha-Gal Meat Allergy

Yuanye Ma, Mary Grace Flaherty

University of North Carolina at Chapel Hill, USA

This paper examines clinical notes to identify reported symptoms and investigate patient-provider communication processes in alpha-gal syndrome (AGS). Clinical notes appear to be a credible and stable source of research where the researcher can find information regarding both symptoms and environmental factors of AGS. Compilation of notes could be used for a checklist to aid in diagnosis. This study analyzed clinicians’ notes in patient records retrieved from the Electronic Medical Record Search Engine (EMERSE). The most reported symptoms fell into four general categories: skin (42%), inflammation (17%), gastrointestinal (20%), and anaphylaxis (21%). Environmental triggers were also commonly reported. This in-depth analysis of clinical notes of AGS can serve as a basis for future automation of rare disease analysis; moreover, it provides a basic understanding of the granularity of information that an electronic health record (EHR) may provide for rare disease identification.



4:30pm - 4:45pm
ID: 206 / PS-07: 2
Short Papers
Confirmation 1: I/we agree if this paper/presentation is accepted, all authors/panelists listed as “presenters” will present during the Annual Meeting and will pay and register at least for the day of the presentation.
Confirmation 2: I/we further agree presenting authors/panelists who have not registered on or before the early bird registration deadline will be removed from the conference program, and their paper will be removed from the Proceedings.
Confirmation 3: I/we acknowledge that all session authors/presenters have read and agree to the ASIS&T Annual Meeting Policies found at https://www.asist.org/am21/submission-types-instructions/
Topics: Domain-Specific Informatics
Keywords: Information behavior, Vaccination decision-making, COVID-19 vaccine

Health Information Behavior in the Context of Medical Decision-Making: An Exploratory Study Based on Vaccination in Beijing

Yuhao Zhang, Guangchun Zheng

Renming University, People's Republic of China

COVID-19 vaccination could be the most economical and effective public health intervention to prevent and control novel coronavirus. Beijing is one of the first regions in China to implement the COVID-19 vaccination policy, we conducted semi-structured interview on 20 participants with past vaccination AND/OR COVID-19 vaccination decision-making. This study summarizes the consistency and particularity in the context of decision-making in terms of information sources, information content and information behavior.



4:45pm - 5:00pm
ID: 279 / PS-07: 3
Short Papers
Confirmation 1: I/we agree if this paper/presentation is accepted, all authors/panelists listed as “presenters” will present during the Annual Meeting and will pay and register at least for the day of the presentation.
Confirmation 2: I/we further agree presenting authors/panelists who have not registered on or before the early bird registration deadline will be removed from the conference program, and their paper will be removed from the Proceedings.
Confirmation 3: I/we acknowledge that all session authors/presenters have read and agree to the ASIS&T Annual Meeting Policies found at https://www.asist.org/am21/submission-types-instructions/
Topics: Library and Information Science
Keywords: LGBTQ+ populations, care-seeking, information seeking, information use, incidental information acquisition

Discrimination in Healthcare and LGBTQ+ Information and Care-Seeking Behaviors

Lindsay Brown, Tiffany Veinot

University of Michigan, USA

Members of the Lesbian, Gay, Bisexual, Transgender, Queer/Questioning, plus (LGBTQ+) community may face discrimination in healthcare, which can subsequently impact information and care-seeking patterns. A tendency to avoid or delay health care is particularly concerning for LGBTQ+ people who faces both physical and mental health disparities. This paper presents a narrative review of literature on healthcare discrimination, LGBTQ+ care-seeking, and associated information behaviors in order to generate a preliminary model of LGBTQ+ decision-making around care and well-being, called the Model of the Pathways to LGBTQ+ Well-Being. This model can be used to investigate links between information behavior and relevant health behaviors and outcomes in a marginalized population.