TheJakartaPost
Please Update your browser
Your browser is out of date, and may not be compatible with our website. A list of the most popular web browsers can be found below.
Just click on the icons to get to the download page.
Popular Reads
Top Results
No results found. Please check your search term and try again
Can't find what you're looking for?
View all search results
Popular Reads
Top Results
No results found. Please check your search term and try again
Can't find what you're looking for?
View all search resultsPhilips bets on AI monitoring to cut hospital costs, ease staff shortages
Stephanie Sievers, managing director at Philips APAC, said connectivity and remote care models would be key to improving access, as cost and staffing pressures intensify, particularly in geographically dispersed markets, such as Indonesia.
Change text size
Gift Premium Articles
to Anyone
Share the best of The Jakarta Post with friends, family, or colleagues. As a subscriber, you can gift 3 to 5 articles each month that anyone can read—no subscription needed!
Philips unveiled on April 29, 2026, a new patient monitoring strategy designed to help hospitals address workforce shortages and improve care coordination in Singapore during the Philips APAC Innovation Summit. (Philips/- )
A
s hospitals across the region balance expansion against limited manpower and rising medical costs, Royal Philips is turning to artificial intelligence to support monitoring and centralized care models that it says have helped hospitals save around US$1,770 per patient, mainly by streamlining workflows and reducing resource use.
The system, unveiled at the company’s Innovation Summit on Wednesday in Singapore, integrates patient data across hospitals and care settings into a single platform. Thus, clinicians can use the system to monitor patients remotely, prioritize cases and make faster decisions.
A key component is the Enterprise Command and Care Coordination Center, which enables continuous monitoring of patients’ vital signs, including heart activity, across locations.
AI-based algorithms analyze patterns and flag early signs of complications such as arrhythmias, allowing faster intervention while reducing the need for constant manual oversight.
Mobile-enabled monitoring tools further extend efficiency gains by allowing clinicians to access real-time patient data remotely, minimizing time spent at fixed workstations.
Meanwhile, visualization features such as a “patient avatar” simplify complex data into intuitive displays, reducing cognitive burden and supporting quicker decision-making in high-pressure environments.
Read also: Health ministry declares measles outbreak in seven S. Sulawesi regions
