Clinicians Can Now Enhance Patient Care Through AI Tools At Ramsay Sime Darby Health Care Hospitals

Ramsay Sime Darby Health Care (RSDH) has partnered with Annalise.ai to deploy AI-powered clinician-assisting tools designed to help patients get the right care at the right time, with support from the world’s most comprehensive and widely adopted cloud provider, AWS.  

Annalise Enterprise chest X-ray (CXR), an AI-powered assistive clinical tool that helps clinicians detect and interpret chest X-ray findings with speed, accuracy, and peace of mind, is planned to be deployed in radiology departments at RSDH’s flagship award-winning hospitals, Subang Jaya Medical Centre (SJMC) and Bukit Tinggi Medical Centre (BTMC) in Malaysia, bringing AI-powered care to patients.

Annalise Enterprise CXR uses proprietary deep learning algorithms to identify the suspected presence of up to 124 findings in chest X-rays in less than 20 seconds.

These findings are relevant to a variety of care settings including emergency, inpatient and outpatient, as well as a wide range of conditions that require urgent interventions.

The AI solution can act as a precision tool for the medical team at RSDH’s hospitals, augmenting the clinician’s capacity to identify subtle details in medical images.

In a proof-of-concept study spanning four weeks, RSDH discovered that the use of Annalise Enterprise CXR as an assistive tool amplified the clinical team’s ability to detect critical findings.

Built on AWS’s scalable, resilient, and cost-effective cloud infrastructure, the deployment of Annalise.ai’s solutions in RSDH hospitals can help to deliver findings faster to RSDH’s radiologists and represents a significant step forward in the adoption of cloud and AI-powered medtech in the region. 

The deployment of AI-powered tools in two of RSDH’s leading hospitals in Malaysia is just the beginning, with plans to expand to other hospitals in the country as well as in Indonesia.

The HealthTech industry in Malaysia and ASEAN is increasingly using cloud and advanced technologies like AI and Machine Learning to innovate and improve patient care.

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