Dean Koh is the Editor of Healthcare IT News Asia Pacific.
By Dean Koh 02:25 am December 03, 2019
The AI-Powered Pre-Admission Cost of Hospitalisation Estimation (APACHE) system, which was developed by UCARE.AI, was adopted by four major hospitals operated by Parkway Pantai in 2018.
By Dean Koh 09:34 pm December 01, 2019
Representatives from two healthcare providers and a technology partner discussed the meaning, processes and obstacles to innovation in healthcare at the HIMSS Australia Digital Health Summit.
By Dean Koh 02:39 am November 28, 2019
Perspectives from the patient and provider were shared about the complexities of access and use of patient data at a panel discussion at the HIMSS Australia Digital Health Summit.
By Dean Koh 02:00 am November 26, 2019
The program aims to develop a high-quality and efficient health service system through the study of the key topics of China's health service system in the context of the country's aging population.
By Dean Koh 09:38 pm November 20, 2019
The technology is being piloted at six NSW Health public hospitals in a range of clinical settings including hospital EDs, wards, clinics and pathology collection centres.
By Dean Koh 12:54 am November 19, 2019
The app is the first locally developed solution of its type to offer full access to EMR data.
By Dean Koh 01:51 am November 13, 2019
In the next three years, Selena+, a system which analyzes retinal photographs across the nation for diabetes screening will be deployed.
By Dean Koh 01:55 am November 05, 2019
InterSystems today announced that it has signed an agreement for strategic cooperation with Inspur, a Chinese cloud computing and big data service provider.
By Dean Koh 09:43 pm November 04, 2019
This second article in a series of three articles (check out the first article on the Data track here) focusing on the breakout tracks at
By Dean Koh 01:20 am October 31, 2019
With the explosion in the amount of healthcare data being collected, one of the key challenges lie in the quality of data, as well as making the right decisions to use the appropriate data to measure specific health outcomes or predictions.