J Korean Neurosurg Soc.  2023 Sep;66(5):488-493. 10.3340/jkns.2022.0256.

Development of Cloud-Based Telemedicine Platform for Acute Intracerebral Hemorrhage in Gangwon-do : Concept and Protocol

Affiliations
  • 1Department of Neurosurgery, Kangwon National University Hospital, Chuncheon, Korea
  • 2Department of Neurosurgery, GangNeung Asan Hospital, Gangneung, Korea
  • 3Department of Neurosurgery, Yonsei University Wonju College of Medicine, Wonju, Korea
  • 4Department of Neurosurgery, Hallym University College of Medicine, Chuncheon, Korea
  • 5Department of Neurosurgery, Jeju National University College of Medicine, Jeju, Korea

Abstract

We aimed to develop a cloud-based telemedicine platform for patients with intracerebral hemorrhage (ICH) at local hospitals in rural and underserved areas in Gangwon-do using artificial intelligence and non-face-to-face collaboration treatment technology. This is a prospective and multi-center development project in which neurosurgeons from four university hospitals in Gangwondo will participate. Information technology experts will verify and improve the performance of the cloud-based telemedicine collaboration platform while treating ICH patients in the actual medical field. Problems identified will be resolved, and the function, performance, security, and safety of the telemedicine platform will be checked through an accredited certification authority. The project will be carried out over 4 years and consists of two phases. The first phase will be from April 2022 to December 2023, and the second phase will be from April 2024 to December 2025. The platform will be developed by dividing the work of the neurosurgeons and information technology experts by setting the order of items through mutual feedback. This article provides information on a project to develop a cloud-based telemedicine platform for acute ICH patients in Gangwon-do.

Keyword

Cerebral hemorrhage; Telemedicine; Artificial intelligence

Figure

  • Fig. 1. Frame work and application of the dedicated cloud-based telemedicine platform for acute intracerebral hemorrhage patients at local hospitals in rural and underserved areas in Gangwon-do. EMR : electronic medical record, PACS : picture archiving and communication system, AI : artificial intelligence.


Reference

References

1. Ahn JH, Kim HC, Rhim JK, Park JJ, Sigmund D, Park MC, et al. Multi-view convolutional neural networks in rupture risk assessment of small, unruptured intracranial aneurysms. J Pers Med. 11:239. 2021.
2. An SJ, Kim TJ, Yoon BW. Epidemiology, risk factors, and clinical features of intracerebral hemorrhage: an update. J Stroke. 19:3–10. 2017.
3. Arbabshirani MR, Fornwalt BK, Mongelluzzo GJ, Suever JD, Geise BD, Patel AA, et al. Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. NPJ Digit Med. 1:9. 2018.
4. Brouwers HB, Greenberg SM. Hematoma expansion following acute intracerebral hemorrhage. Cerebrovasc Dis. 35:195–201. 2013.
5. Cho KC, Kim H, Suh SH. Trends in mortality from hemorrhagic stroke in Korea from 2012 to 2020. Neurointervention. 17:87–92. 2022.
6. Cooley SR, Zhao H, Campbell BCV, Churilov L, Coote S, Easton D, et al. Mobile stroke units facilitate prehospital management of intracerebral hemorrhage. Stroke. 52:3163–3166. 2021.
7. El Naamani K, Abbas R, Mukhtar S, El Fadel O, Sathe A, Kazan AS, et al. Telemedicine during and post-COVID 19: the insights of neurosurgery patients and physicians. J Clin Neurosci. 99:204–211. 2022.
8. Hong KS, Bang OY, Kim JS, Heo JH, Yu KH, Bae HJ, et al. Stroke statistics in Korea: part II stroke awareness and acute stroke care, a report from the Korean Stroke Society and Clinical Research Center For Stroke. J Stroke. 15:67–77. 2013.
9. Huttner HB, Gerner ST, Kuramatsu JB, Connolly SJ, Beyer-Westendorf J, Demchuk AM, et al. Hematoma expansion and clinical outcomes in patients with factor-Xa inhibitor-related atraumatic intracerebral hemorrhage treated within the ANNEXA-4 trial versus real-world usual care. Stroke. 53:532–543. 2022.
10. Im SI. What regional disparity trends of cardiovascular mortality have changed in 2019 compared to the 1980s? Korean Circ J. 52:844–846. 2022.
11. Kane-Gill SL, Rincon F. Expansion of telemedicine services: telepharmacy, telestroke, teledialysis, tele-emergency medicine. Crit Care Clin. 35:519–533. 2019.
12. Kim HC, Rhim JK, Ahn JH, Park JJ, Moon JU, Hong EP, et al. Machine learning application for rupture risk assessment in small-sized intracranial aneurysm. J Clin Med. 8:683. 2019.
13. Kuohn LR, Witsch J, Steiner T, Sheth KN, Kamel H, Navi BB, et al. Early deterioration, hematoma expansion, and outcomes in deep versus lobar intracerebral hemorrhage: the FAST trial. Stroke. 53:2441–2448. 2022.
14. Lee JY, Kim JS, Kim TY, Kim YS. Detection and classification of intracranial haemorrhage on CT images using a novel deep-learning algorithm. Sci Rep. 10:20546. 2020.
15. Lee SU, Kim T, Kwon OK, Bang JS, Ban SP, Byoun HS, et al. Trends in the incidence and treatment of cerebrovascular diseases in Korea : part I. Intracranial aneurysm, intracerebral hemorrhage, and arteriovenous malformation. J Korean Neurosurg Soc. 63:56–68. 2020.
16. Liu J, Xu H, Chen Q, Zhang T, Sheng W, Huang Q, et al. Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine. EBioMedicine. 43:454–459. 2019.
17. Long J, He R, Tian S, Luo Y, Ma M, Wang W, et al. Development and utility of a close contact information management system for the COVID-19 pandemic. BMC Public Health. 21:2248. 2021.
18. McGurgan IJ, Ziai WC, Werring DJ, Al-Shahi Salman R, Parry-Jones AR. Acute intracerebral haemorrhage: diagnosis and management. Pract Neurol. 21:128–136. 2020.
19. Morotti A, Boulouis G, Dowlatshahi D, Li Q, Barras CD, Delcourt C, et al. Standards for detecting, interpreting, and reporting noncontrast computed tomographic markers of intracerebral hemorrhage expansion. Ann Neurol. 86:480–492. 2019.
20. Mukhtar H, Ahmad HF, Khan MZ, Ullah N. Analysis and evaluation of COVID-19 web applications for health professionals: challenges and opportunities. Healthcare (Basel). 8:466. 2020.
21. Rha JH, Koo J, Cho KH, Kim EG, Oh GS, Lee SJ, et al. Two-year direct medical costs of stroke in Korea: a multi-centre incidence-based study from hospital perspectives. Int J Stroke. 8:186–192. 2013.
22. Seyam M, Weikert T, Sauter A, Brehm A, Psychogios MN, Blackham KA. Utilization of artificial intelligence-based intracranial hemorrhage detection on emergent noncontrast ct images in clinical workflow. Radiol Artif Intell. 4:e210168. 2022.
Full Text Links
  • JKNS
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr