Intelligent Patient Flow Management System at a Primary Healthcare Center-The Effect on Service Use and Costs

Henni Tenhunen*, Petteri Hirvonen, Miika Linna, Olli Halminen, Iiris Hörhammer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

An intelligent patient flow management system (IPFM) was piloted at a large primary healthcare center in Finland in August 2017. The goals of the system are to help patients avoid unnecessary calls and visits to their health center and to enhance the use of professional resources through more streamlined patient pathways and the re-allocation of professionals from assessment tasks to actual patient care. These goals should be reflected in the decreased service costs through optimized contact forms. Using multiple regression analysis, we studied the associations between IPFM and patients' service utilization (17,943 patients; 73,038 service contacts) during the first five months of the pilot in 2017. The results indicated that the use of IPFM by the patient was associated with a decrease of EUR 31 in the total service costs of the patient in the study period. This decrease is 14% of patient's average total service cost.

Original languageEnglish
Title of host publicationDecision Support Systems and Education
Subtitle of host publicationHelp and Support in Healthcare
PublisherIOS PRESS
Pages142-146
Number of pages5
ISBN (Print)9781614999201
DOIs
Publication statusPublished - 1 Jan 2018
MoE publication typeA4 Article in a conference publication
EventSpecial Topic Conference of the European Federation for Medical Informatics - Zagreb, Croatia
Duration: 15 Oct 201816 Oct 2018

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS
Volume255
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

ConferenceSpecial Topic Conference of the European Federation for Medical Informatics
Abbreviated titleEFMI STC
CountryCroatia
CityZagreb
Period15/10/201816/10/2018

Keywords

  • artificial intelligence
  • health system performance
  • Intelligent patient flow management
  • primary health care
  • service utilization

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