Utilizing oncology-related social media content to model information-seeking behaviors towards a model of shared decision making

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Internet has made it effortless to find advice, opinions, support, and information. Social media plays a supporting role by transferring such content between people, companies, doctors, and other actors instantly. When it comes to cancer diagnoses, researchers do not know who looks for what types of information and interactions on which websites, and how social media impacts different people. How people educate themselves on cancer and the level of cancer literacy (understanding of the diagnosis and treatment) is critical to support equality of treatment success. Understanding the internet pathways that patients and their caregivers follow when searching for information about cancer, and how doctors use or don't use social media, is important for being able to make sure that everyone has equal access to reliable information at the right time in the right way. This work-in-progress attempts to understand how stakeholders use social media in oncology decision-making and presents the outline of a decision-support service for shared decision making.

Original languageEnglish (US)
Title of host publicationProceedings - 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems, CBMS 2020
EditorsAlba Garcia Seco de Herrera, Alejandro Rodriguez Gonzalez, KC Santosh, Zelalem Temesgen, Bridget Kane, Paolo Soda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages257-260
Number of pages4
ISBN (Electronic)9781728194295
DOIs
StatePublished - Jul 2020
Event33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020 - Virtual, Online, United States
Duration: Jul 28 2020Jul 30 2020

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2020-July
ISSN (Print)1063-7125

Conference

Conference33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020
CountryUnited States
CityVirtual, Online
Period7/28/207/30/20

Keywords

  • Cancer
  • Needs assessment
  • Needs finding
  • Predictive modelling
  • Shared decision making
  • Social media

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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