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Transforming Tele-Ophthalmology: Utilizing Cloud Computing for Remote Eye Care.
Schweitzer, Marco; Ostheimer, Philipp; Lins, Arno; Romano, Vito; Steger, Bernhard; Baumgarten, Daniel; Augustin, Marco.
Affiliation
  • Schweitzer M; Division for Digital Health and Telemedicine, UMIT TIROL - Private University For Health Sciences and Health Technology, Hall in Tyrol, Austria.
  • Ostheimer P; Institute of Electrical and Biomedical Engineering, UMIT TIROL - Private University For Health Sciences and Health Technology, Hall in Tyrol, Austria.
  • Lins A; Institute of Electrical and Biomedical Engineering, UMIT TIROL - Private University For Health Sciences and Health Technology, Hall in Tyrol, Austria.
  • Romano V; Occyo GmbH, Innsbruck, Austria.
  • Steger B; Eye Unit, ASST Spedali Civili di Brescia, Brescia, Italy.
  • Baumgarten D; Department of Ophthalmology, Medical University of Innsbruck, Innsbruck, Austria.
  • Augustin M; Institute of Electrical and Biomedical Engineering, UMIT TIROL - Private University For Health Sciences and Health Technology, Hall in Tyrol, Austria.
Stud Health Technol Inform ; 313: 215-220, 2024 Apr 26.
Article in En | MEDLINE | ID: mdl-38682533
ABSTRACT

BACKGROUND:

Tele-ophthalmology is gaining recognition for its role in improving eye care accessibility via cloud-based solutions. The Google Cloud Platform (GCP) Healthcare API enables secure and efficient management of medical image data such as high-resolution ophthalmic images.

OBJECTIVES:

This study investigates cloud-based solutions' effectiveness in tele-ophthalmology, with a focus on GCP's role in data management, annotation, and integration for a novel imaging device.

METHODS:

Leveraging the Integrating the Healthcare Enterprise (IHE) Eye Care profile, the cloud platform was utilized as a PACS and integrated with the Open Health Imaging Foundation (OHIF) Viewer for image display and annotation capabilities for ophthalmic images.

RESULTS:

The setup of a GCP DICOM storage and the OHIF Viewer facilitated remote image data analytics. Prolonged loading times and relatively large individual image file sizes indicated system challenges.

CONCLUSION:

Cloud platforms have the potential to ease distributed data analytics, as needed for efficient tele-ophthalmology scenarios in research and clinical practice, by providing scalable and secure image management solutions.
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Full text: 1 Database: MEDLINE Main subject: Ophthalmology / Telemedicine / Cloud Computing Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Type: Article Affiliation country: Austria

Full text: 1 Database: MEDLINE Main subject: Ophthalmology / Telemedicine / Cloud Computing Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Type: Article Affiliation country: Austria