The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

A model for an inclusive healthcare information system

Author

Summary, in English

Healthcare organisations such as hospitals communicate both public and personal information to citizens. Accessible websites are suited for public information, but personal information (e.g. medical appointment notices) is still sent out by ordinary post in the form of text on a paper. Sometimes a person has to ask repeatedly for accessible information and is forced to adapt to the information system, rather than the other way around.



This paper presents a model for adapting information automatically to each individual’s preferences and a list of such preferences resulting from interviews with persons with disabilities. The model facilitates an innovative process where a healthcare organisation and citizens work together in four steps: 1) A person’s information preferences are stored in a database in the hospital’s improved information system and can be updated at any time. 2) When the caregiver sends out information, a notification module retrieves the personal preferences from the database and adapts the information. 3) The person receives individualised information. 4) Preferences stored by citizens, but not yet implemented, can be used for further development of the inclusive information system. A prototype web form was then developed and evaluated by people from disability and elderly organisations.

Publishing year

2011

Language

English

Publication/Series

Include 2011 proceedings

Document type

Conference paper

Publisher

The Helen Hamlyn Centre for Design at the Royal College of Art, London, UK

Topic

  • Human Computer Interaction

Keywords

  • Accessibility
  • Diversity
  • Healthcare information systems

Conference name

Include 2011

Conference date

2011-04-18

Conference place

London, United Kingdom

Status

Published

ISBN/ISSN/Other

  • ISBN: 978-1-907342-29-5