Development of a Hierarchical Decision Model (HDM) for health technology assessment (HTA) to design and implement a new patient care database for low back pain

Liliya Hogaboam, Brian Ragel, Tugrul Daim

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

13 Scopus citations

Abstract

Decision-making in healthcare towards the use, implementation and design of assistive information technologies like patient care database is looked from multiple perspectives. We propose utilization of Hierarchical Decision Model (DHM) for new patient care database design for low back pain at Oregon Health and Science University (OHSU), Portland, Oregon. Extensive literature review provides justification for the criteria used. The model could be used for other patient care software assessment in healthcare. The strategies (2nd layer of the model) could be revised to further fit the needs of a particular department. The next stage of current research is model implementation, expert quantification gathering and analysis at OHSU.

Original languageEnglish (US)
Title of host publicationPICMET 2014 - Portland International Center for Management of Engineering and Technology, Proceedings
Subtitle of host publicationInfrastructure and Service Integration
EditorsDundar F. Kocaoglu, Timothy R. Anderson, Tugrul U. Daim, Dilek Cetindamar Kozanoglu, Kiyoshi Niwa, Gary Perman
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3511-3517
Number of pages7
ISBN (Electronic)9781890843304
StatePublished - Oct 10 2014
Event2014 Portland International Center for Management of Engineering and Technology, PICMET 2014 - Kanazawa, Japan
Duration: Jul 27 2014Jul 31 2014

Publication series

NamePICMET 2014 - Portland International Center for Management of Engineering and Technology, Proceedings: Infrastructure and Service Integration

Other

Other2014 Portland International Center for Management of Engineering and Technology, PICMET 2014
Country/TerritoryJapan
CityKanazawa
Period7/27/147/31/14

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Strategy and Management
  • Transportation

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