Digital Follow-Up Application for Cancer Patients - Value Mechanisms Regarding Health Professionals' Work

Sauli Miettinen, Henni Tenhunen

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

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Abstract

This study examined the value mechanisms of a digital cancer follow-up application (CFUA). Value is defined as the health outcomes achieved per resources used. The focus was on how the digital health intervention (DHI) affects the professionals' work. The research was conducted through interviews of healthcare professionals in the empirical context of gynecological cancer clinic at a university hospital in Finland. The identified key mechanisms were improved coordination and optimized care level. The CFUA improves coordination through reducing time restrictions of work, as the professionals have more chances to time their contacts and plan their work. The CFUA helps in optimizing care level, as the application can effectively filter patients to either nurses or physicians according to symptoms. Coordination mechanism is closely connected to other healthcare value mechanisms, such as reducing waste and supply management. This study increases understanding of DHI value potential recognition, and how value can be actualized.

Original languageEnglish
Title of host publicationDigital Personalized Health and Medicine
PublisherIOS PRESS
Pages572-576
Number of pages5
ISBN (Electronic)978-1-64368-083-5
ISBN (Print)978-1-64368-082-8
DOIs
Publication statusPublished - 16 Jun 2020
MoE publication typeA3 Part of a book or another research book
EventMedical Informatics Europe Conference - Online, Geneva, Switzerland
Duration: 28 Apr 20201 May 2020
Conference number: 30

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS PRESS
Volume270
ISSN (Print)0926-9630

Conference

ConferenceMedical Informatics Europe Conference
Abbreviated titleMIE
Country/TerritorySwitzerland
CityGeneva
Period28/04/202001/05/2020

Keywords

  • Cancer Care
  • Telemedicine
  • Value-Based Healthcare

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