Daily Newsletter

12 September 2023

Daily Newsletter

12 September 2023

Candidates shortlisted for Ramsay Sime Darby Health Care sale

Shortlisted bidders include Columbia Asia, Sunway Medical Centre, Macquarie Asset Management, and PT Mitra Keluarga Karyasehat.

September 11 2023

Bidders have been shortlisted for the divestment of Ramsay Sime Darby Health Care (RSDH), a 50:50 joint venture hospital unit between Australia's Ramsay Health Care and Malaysian conglomerate Sime Darby.

Shortlisted bidders include TPG-backed Columbia Asia, Sunway Medical Centre, Macquarie Asset Management, and PT Mitra Keluarga Karyasehat.

The sellers had invited bids from healthcare companies and private equity firms following the discussions with IHH Healthcare failed last year.

Binding bids for Ramsay Sime Darby Health Care are expected in October, though there is no guarantee that a deal will be finalised. A potential deal is projected to rake in $1.5bn.

According to Sime Darby 2022 annual report, RSDH’s Asia-focused portfolio consists of 1,530 licensed beds across seven hospitals in Malaysia and Indonesia.

It operates four hospitals in Malaysia and three in Indonesia.

Recently, RSDH partnered with Annalise.ai, a radiology AI solutions provider, to implement AI-powered clinician-assisting tools.

These tools are designed to enhance patient care by assisting clinicians in diagnosing and interpreting chest X-ray findings quickly and accurately.

The AI solution, known as Annalise Enterprise chest X-ray (CXR), uses deep learning algorithms to identify potential issues in chest X-rays within 20 seconds, improving diagnostic speed and precision.

Is it time for the healthcare sector to fully embrace the benefits of digitalization and AI?

Primarily due to COVID-19, the healthcare sector has witnessed an acceleration in digital transformation, which has improved efficiencies and enhanced patient outcomes. AI can revolutionize the drug discovery process and significantly reduce the time and cost to get a drug to market, particularly in areas of unmet need. There is also huge potential for AI in medical diagnostics. However, using healthcare data for AI development raises data privacy concerns, thereby limiting its adoption.

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