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 language | English |
|---|---|
| Title of host publication | Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences |
| Editors | Alfred Zimmermann, Yen-Wei Chen, Robert J. Howlett, Lakhmi C. Jain |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 47-57 |
| Number of pages | 11 |
| ISBN (Print) | 9789811385650 |
| DOIs | |
| Publication status | Published - 2019 Jan 1 |
| Event | KES 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 17 → 2019 Jun 19 |
Publication series
| Name | Smart Innovation, Systems and Technologies |
|---|---|
| Volume | 145 |
| ISSN (Print) | 2190-3018 |
| ISSN (Electronic) | 2190-3026 |
Conference
| Conference | KES International conferences on Innovation in Medicine and Healthcare, KES-InMed 2019 and Intelligent Interactive Multimedia Systems and Services, KES-IIMSS 2019 |
|---|---|
| Country | Malta |
| City | St. Julians |
| Period | 19/6/17 → 19/6/19 |
Fingerprint
Keywords
- Big data
- Digital health care
- Digital IT
- Electronic health record
- Enterprise architecture
ASJC Scopus subject areas
- Decision Sciences(all)
- Computer Science(all)
Cite this
Clinical Decision-Support System with Electronic Health Record : Digitization of Research in Pharma. / Masuda, Yoshimasa; Shepard, Donald S.; Yamamoto, Shuichiro; Toma, Tetsuya.
Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences. ed. / Alfred Zimmermann; Yen-Wei Chen; Robert J. Howlett; Lakhmi C. Jain. Springer Science and Business Media Deutschland GmbH, 2019. p. 47-57 (Smart Innovation, Systems and Technologies; Vol. 145).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Clinical Decision-Support System with Electronic Health Record
T2 - Digitization of Research in Pharma
AU - Masuda, Yoshimasa
AU - Shepard, Donald S.
AU - Yamamoto, Shuichiro
AU - Toma, Tetsuya
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
KW - Big data
KW - Digital health care
KW - Digital IT
KW - Electronic health record
KW - Enterprise architecture
UR - http://www.scopus.com/inward/record.url?scp=85067337460&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067337460&partnerID=8YFLogxK
U2 - 10.1007/978-981-13-8566-7_5
DO - 10.1007/978-981-13-8566-7_5
M3 - Conference contribution
SN - 9789811385650
T3 - Smart Innovation, Systems and Technologies
SP - 47
EP - 57
BT - Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences
A2 - Zimmermann, Alfred
A2 - Chen, Yen-Wei
A2 - Howlett, Robert J.
A2 - Jain, Lakhmi C.
PB - Springer Science and Business Media Deutschland GmbH
ER -