@inproceedings{f1fe8cdf5a5944bb9931bfb86055f8a0,
title = "Clinical Decision-Support System with Electronic Health Record: Digitization of Research in Pharma",
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.",
keywords = "Big data, Digital health care, Digital IT, Electronic health record, Enterprise architecture",
author = "Yoshimasa Masuda and Shepard, {Donald S.} and Shuichiro Yamamoto and Tetsuya Toma",
year = "2019",
month = jan
day = "1",
doi = "10.1007/978-981-13-8566-7_5",
language = "English",
isbn = "9789811385650",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "47--57",
editor = "Alfred Zimmermann and Yen-Wei Chen and Howlett, {Robert J.} and Jain, {Lakhmi C.}",
booktitle = "Innovation in Medicine and Healthcare Systems, and Multimedia - Proceedings of KES-InMed 2019 and KES-IIMSS 2019 Conferences",
note = "KES International conferences on Innovation in Medicine and Healthcare, KES-InMed 2019 and Intelligent Interactive Multimedia Systems and Services, KES-IIMSS 2019 ; Conference date: 17-06-2019 Through 19-06-2019",
}