Clinical Decision-Support System with Electronic Health Record: Digitization of Research in Pharma

Yoshimasa Masuda, Donald S. Shepard, Shuichiro Yamamoto, Tetsuya Toma

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

Abstract

Clinical Decision-Support (CDS) systems are architected to resolve knowledge-intensive tasks for supporting decision-making processes in the medical fields and the healthcare industry. Furthermore, CDS systems are expected to promote and contribute to the drug discovery process in pharmaceutical companies, while the CDS system can be connected and collaborated with electronic health record (EHR). However, current solutions for CDS are not well-established across different organizations and institutions in information societies because of high implementation costs and various, complex decision-making problems by medical staffs. In this paper, we suggest that the reference architecture and framework for the CDS system with EHR will be proposed and verified by the case in a hospital. In addition, the challenge and future activities for this area are expressed.

Original languageEnglish
Title of host publicationInnovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences
EditorsLakhmi C. Jain, Yen-Wei Chen, Alfred Zimmermann, Robert J. Howlett
PublisherSpringer Science and Business Media Deutschland GmbH
Pages47-57
Number of pages11
ISBN (Print)9789811385650
DOIs
Publication statusPublished - 2019 Jan 1
EventKES International conferences on Innovation in Medicine and Healthcare, KES-InMed 2019 and Intelligent Interactive Multimedia Systems and Services, KES-IIMSS 2019 - St. Julians, Malta
Duration: 2019 Jun 172019 Jun 19

Publication series

NameSmart Innovation, Systems and Technologies
Volume145
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

ConferenceKES International conferences on Innovation in Medicine and Healthcare, KES-InMed 2019 and Intelligent Interactive Multimedia Systems and Services, KES-IIMSS 2019
CountryMalta
CitySt. Julians
Period19/6/1719/6/19

Keywords

  • Big data
  • Digital IT
  • Digital health care
  • Electronic health record
  • Enterprise architecture

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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