DOCL Outcome Prediction Platform (Doctors on the Cloud)
Origin language: English
Country
Global
Coverage
International
Nb of implementation sites
50
Lead organization
Implementation partners
Health Focus Area
Communicable diseases
Health promotion
Services
Telehealth
Public health and disease surveillance
Others
Predictive health and early diagnosis
Enabling technologies
N/A
Standards
N/A
Tools
N/A
Funding sources
N/A
Business model
N/A
Funders
Summary
The DOCL Project, initiated by the Armed Forces Medical Command of Korea in partnership with Yonsei University College of Medicine, seeks to improve the selection process for patient hospitalization through predictive outcomes. The platform comprises a patient app, a physician portal, and a back-end model API designed to deliver prediction results. It offers an evidence-based decision support system to evaluate the necessity for hospital admissions, track patients using outcome forecasts, and utilize user data to refine its algorithms. Currently, the services are employed by the Armed Forces Medical Command. For inquiries, reach out to jnheo@docl.org. The project focuses on health areas such as communicable diseases and health promotion.
Keywords
DHA
Publications
Insights - Lessons learnt
Challenges
N/A
Recommendations
N/A
Recommendations
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Any additional questions?
iDHA (Project ID)
4yp0va
Project links
https://docl.orgOrigin of information
N/A
Data source link
N/AAdded to the platform on
2024-11-11
Project editors
Last update by
Mirana Michelle on 2024-11-11
Number of views
8
WHO classifications




