Asia Pacific news
02:06 am October 30, 2019
A recent InterSystems survey found that although only 16% of respondents stated that today’s digital systems currently support value-based care initiatives, 64% of them expect this capability in the next five years.
12:00 am October 30, 2019
In most industries, change or evolution isn’t a gradual process. You might have years and years of equilibrium, with little improvements here and there, and then all of a sudden a massive technology and/or business model change takes us to a new level.
07:57 pm October 27, 2019
Experienced professionals in the area of nursing informatics from Singapore recently shared their lessons learnt at the Hillrom Dialogue Series.
01:00 am October 22, 2019
Southern DHB application specialist Sara Ross said the dashboard closes an information gap between secondary and primary care.
03:53 am October 21, 2019
There will be three sub tracks at the Summit: Data, Innovation and Empowering Patient.
11:17 pm October 20, 2019
AI can save time and improve diagnosis accuracy thereby having a huge potential for saving peoples’ lives,” said Caroline Clarke, CEO, Philips ASEAN Pacific.
12:20 am October 16, 2019
Officially announced at the HIMSS AsiaPac Awards last week during the HIMSS AsiaPac 19 conference, Princ Paknampo Hospital made history by becoming the first hospital in Thailand to achieve the HIMSS Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 validation.
06:22 am October 15, 2019
Traditionally, value in healthcare has been viewed from the perspectives of hospitals and healthcare providers, but this has shifted to the patient-consumer.
10:28 am October 08, 2019
The HIMSS Thailand National Digital Healthcare Workforce Development Initiative (WDI) was officially launched on the opening day of the HIMSS AsiaPac 2019 conference on October 7 in Bangkok, Thailand.
09:25 pm October 03, 2019
The use of AI in medical imaging or Picture Archiving and Communication System (PACS), such as GE’s Centricity Universal Viewer, can be a great way to reduce the ever-increasing workloads of radiologists and clinicians, since AI is particularly effective in detection and segmen