Cloud Image Data Center for Healthcare Network in Taiwan

Shao Jen Weng, Lai Shiun Lai, Donald Gotcher, Hsin-Hung Wu, Yeong Yuh Xu, Ching Wen Yang

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This paper investigates how a healthcare network in Taiwan uses a practical cloud image data center (CIDC) to communicate with its constituent hospital branches. A case study approach was used. The study was carried out in the central region of Taiwan, with four hospitals belonging to the Veterans Hospital healthcare network. The CIDC provides synchronous and asynchronous consultation among these branches. It provides storage, platforms, and services on demand to the hospitals. Any branch-client can pull up the patient’s medical images from any hospital off this cloud. Patients can be examined at the branches, and the images and reports can be further evaluated by physicians in the main Taichung Veterans General Hospital (TVGH) to enhance the usage and efficiency of equipment in the various branches, thereby shortening the waiting time of patients. The performance of the CIDC over 5 years shows: (1) the total number of cross-hospital images accessed with CDC in the branches was 132,712; and (2) TVGH assisted the branches in keying in image reports using the CIDC 4,424 times; and (3) Implementation of the system has improved management, efficiency, speed and quality of care. Therefore, the results lead to the recommendation of continuing and expanding the cloud computing architecture to improve information sharing among branches in the healthcare network.

Original languageEnglish
Article number89
Pages (from-to)1-11
Number of pages11
JournalJournal of Medical Systems
Volume40
Issue number4
DOIs
Publication statusPublished - 2016 Apr 1

Fingerprint

Veterans Hospitals
Taiwan
Delivery of Health Care
General Hospitals
Satellite Hospitals
Information Dissemination
Quality of Health Care
Centers for Disease Control and Prevention (U.S.)
Referral and Consultation
Physicians
Equipment and Supplies
Cloud computing

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Health Information Management

Cite this

Weng, S. J., Lai, L. S., Gotcher, D., Wu, H-H., Xu, Y. Y., & Yang, C. W. (2016). Cloud Image Data Center for Healthcare Network in Taiwan. Journal of Medical Systems, 40(4), 1-11. [89]. https://doi.org/10.1007/s10916-016-0430-8
Weng, Shao Jen ; Lai, Lai Shiun ; Gotcher, Donald ; Wu, Hsin-Hung ; Xu, Yeong Yuh ; Yang, Ching Wen. / Cloud Image Data Center for Healthcare Network in Taiwan. In: Journal of Medical Systems. 2016 ; Vol. 40, No. 4. pp. 1-11.
@article{ca1dfb01e89344f1a8ad03a4a1b614a7,
title = "Cloud Image Data Center for Healthcare Network in Taiwan",
abstract = "This paper investigates how a healthcare network in Taiwan uses a practical cloud image data center (CIDC) to communicate with its constituent hospital branches. A case study approach was used. The study was carried out in the central region of Taiwan, with four hospitals belonging to the Veterans Hospital healthcare network. The CIDC provides synchronous and asynchronous consultation among these branches. It provides storage, platforms, and services on demand to the hospitals. Any branch-client can pull up the patient’s medical images from any hospital off this cloud. Patients can be examined at the branches, and the images and reports can be further evaluated by physicians in the main Taichung Veterans General Hospital (TVGH) to enhance the usage and efficiency of equipment in the various branches, thereby shortening the waiting time of patients. The performance of the CIDC over 5 years shows: (1) the total number of cross-hospital images accessed with CDC in the branches was 132,712; and (2) TVGH assisted the branches in keying in image reports using the CIDC 4,424 times; and (3) Implementation of the system has improved management, efficiency, speed and quality of care. Therefore, the results lead to the recommendation of continuing and expanding the cloud computing architecture to improve information sharing among branches in the healthcare network.",
author = "Weng, {Shao Jen} and Lai, {Lai Shiun} and Donald Gotcher and Hsin-Hung Wu and Xu, {Yeong Yuh} and Yang, {Ching Wen}",
year = "2016",
month = "4",
day = "1",
doi = "10.1007/s10916-016-0430-8",
language = "English",
volume = "40",
pages = "1--11",
journal = "Journal of Medical Systems",
issn = "0148-5598",
publisher = "Springer New York",
number = "4",

}

Weng, SJ, Lai, LS, Gotcher, D, Wu, H-H, Xu, YY & Yang, CW 2016, 'Cloud Image Data Center for Healthcare Network in Taiwan', Journal of Medical Systems, vol. 40, no. 4, 89, pp. 1-11. https://doi.org/10.1007/s10916-016-0430-8

Cloud Image Data Center for Healthcare Network in Taiwan. / Weng, Shao Jen; Lai, Lai Shiun; Gotcher, Donald; Wu, Hsin-Hung; Xu, Yeong Yuh; Yang, Ching Wen.

In: Journal of Medical Systems, Vol. 40, No. 4, 89, 01.04.2016, p. 1-11.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Cloud Image Data Center for Healthcare Network in Taiwan

AU - Weng, Shao Jen

AU - Lai, Lai Shiun

AU - Gotcher, Donald

AU - Wu, Hsin-Hung

AU - Xu, Yeong Yuh

AU - Yang, Ching Wen

PY - 2016/4/1

Y1 - 2016/4/1

N2 - This paper investigates how a healthcare network in Taiwan uses a practical cloud image data center (CIDC) to communicate with its constituent hospital branches. A case study approach was used. The study was carried out in the central region of Taiwan, with four hospitals belonging to the Veterans Hospital healthcare network. The CIDC provides synchronous and asynchronous consultation among these branches. It provides storage, platforms, and services on demand to the hospitals. Any branch-client can pull up the patient’s medical images from any hospital off this cloud. Patients can be examined at the branches, and the images and reports can be further evaluated by physicians in the main Taichung Veterans General Hospital (TVGH) to enhance the usage and efficiency of equipment in the various branches, thereby shortening the waiting time of patients. The performance of the CIDC over 5 years shows: (1) the total number of cross-hospital images accessed with CDC in the branches was 132,712; and (2) TVGH assisted the branches in keying in image reports using the CIDC 4,424 times; and (3) Implementation of the system has improved management, efficiency, speed and quality of care. Therefore, the results lead to the recommendation of continuing and expanding the cloud computing architecture to improve information sharing among branches in the healthcare network.

AB - This paper investigates how a healthcare network in Taiwan uses a practical cloud image data center (CIDC) to communicate with its constituent hospital branches. A case study approach was used. The study was carried out in the central region of Taiwan, with four hospitals belonging to the Veterans Hospital healthcare network. The CIDC provides synchronous and asynchronous consultation among these branches. It provides storage, platforms, and services on demand to the hospitals. Any branch-client can pull up the patient’s medical images from any hospital off this cloud. Patients can be examined at the branches, and the images and reports can be further evaluated by physicians in the main Taichung Veterans General Hospital (TVGH) to enhance the usage and efficiency of equipment in the various branches, thereby shortening the waiting time of patients. The performance of the CIDC over 5 years shows: (1) the total number of cross-hospital images accessed with CDC in the branches was 132,712; and (2) TVGH assisted the branches in keying in image reports using the CIDC 4,424 times; and (3) Implementation of the system has improved management, efficiency, speed and quality of care. Therefore, the results lead to the recommendation of continuing and expanding the cloud computing architecture to improve information sharing among branches in the healthcare network.

UR - http://www.scopus.com/inward/record.url?scp=84957555580&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84957555580&partnerID=8YFLogxK

U2 - 10.1007/s10916-016-0430-8

DO - 10.1007/s10916-016-0430-8

M3 - Article

C2 - 26846750

AN - SCOPUS:84957555580

VL - 40

SP - 1

EP - 11

JO - Journal of Medical Systems

JF - Journal of Medical Systems

SN - 0148-5598

IS - 4

M1 - 89

ER -