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InterSystems
SPONSORED
By InterSystems | 05:45 pm | August 12, 2025
The Dubai Health Authority's Dr. Mohammad Al Redha says Dubai is building a foundation for AI tools to advance care delivery by making some clinical decisions, freeing clinicians' time for more complex cases.
SPONSORED HIMSS25 APAC
By InterSystems | 09:09 am | August 06, 2025
Enhanced interoperability will support the Malaysian health system to meet its ageing population's demand for more care, says InterSystems APAC managing director Luciano Brustia.
SPONSORED
By InterSystems | 10:46 pm | July 07, 2025
High levels of adoption and continuous optimisation are crucial in realising EMR benefits. 
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By InterSystems | 10:41 am | September 05, 2024
Here’s how to get the most benefit from machine learning and AI.
SPONSORED
By InterSystems | 02:13 pm | March 04, 2024
Why leaders should consider AI a valued member of their team.
SPONSORED HIMSS23 APAC
By InterSystems | 01:10 am | September 26, 2023
Interest in the pre-conference FHIR workshop exceeded our expectations, and we also saw significant developments in digital twins, emerging technologies, and generative AI.
SPONSORED HIMSS23 APAC
By InterSystems | 12:11 pm | September 04, 2023
Digital reforms like SATUSEHAT in Indonesia encourage healthcare providers to adopt the FHIR standard to achieve advanced interoperability – and get their own data repository for analytics and innovation.
SPONSORED HIMSS22 APAC
By InterSystems | 12:45 am | October 05, 2022
Healthcare providers must also consider clinical data management in their journey to provide patient-centred care.
SPONSORED HIMSS21 APAC
By InterSystems | 10:24 pm | October 10, 2021
In an interview with HIMSS TV, Dr Lloyd McCann, CEO of Mercy Radiology and Clinics, and Head of Digital Health for Healthcare Holdings Limited, explains how digital transformation is central to the Auckland provider’s drive to become a mature analytics organisation and deliver innovative value-based care.
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By InterSystems | InterSystems | 06:23 pm | January 28, 2020
Digital health requires a healthy data pipeline that’s aggregated, normalized, and deduplicated, and ready to be integrated into workflows across the health ecosystem for care coordination, analytics and machine learning.