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We explore how Singapore is embracing artificial intelligence in healthcare

The Singapore healthcare system is one of the best in the world, with a life expectancy of 83 years in the nation-state. Stakeholders are adopting artificial intelligence (AI) as an innovative solution that can boost the industry. AI has already begun p…
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We explore how Singapore is embracing artificial intelligence in healthcare

Tech Collective

June 6

The Singapore healthcare system is one of the best in the world, with a life expectancy of 83 years in the nation-state. Stakeholders are adopting artificial intelligence (AI) as an innovative solution that can boost the industry. AI has already begun playing a significant role in the country, providing additional support to doctors and improving the patient's experience at the hospital.

Healthcare technology is integrating with traditional medical solutions, helping to address the personal well-being of Southeast Asians. According to the World Health Organisation (WHO), Singapore faces a diverse group of diseases, with lower respiratory infections and Ischaemic heart disease leading the way. Other medical problems leading to the deaths of Singaporeans include stroke, various types of cancer, kidney issues, and respiratory illnesses.


How AI and machine learning are transforming healthcare in Southeast Asia

Using artificial intelligence in healthcare helps the government meet its goal of preventative healthcare. According to Statista Research, the government has built substantial infrastructure to support the health industry and invested SGD 15.2 billion.

How Singapore is adopting AI technologies in healthcare

The medical fraternity in Singapore is applying AI technologies in several ways:

Medicine disbursement and inventory management

AI can track patients and update their profiles after the prescription of some drugs. The tech ensures that the prescriptions are in the right amounts. Furthermore, it updates the inventory after the disbursement and restocking of medicines.

Patient care and diagnosis

AI has become essential in delivering high-quality patient care. It supports clinical decisions by providing additional diagnostic information. It reduces errors and discrepancies in examining symptoms and determining the cause and treatment. Moreover, it assists with medical imaging in high-tech X-rays and other tools by highlighting abnormalities or potential medical issues in the images.

Additionally, AI can create personalised patient treatment plans after compiling their data. It can also save other medical professionals hours of manual labour analysing information since it can review large data sets quickly. Lastly, AI can predict future symptoms, such as Alzheimer's disease, by checking scans and imaging results.

Digitisation of healthcare 

AI helps streamline processes by identifying unnecessary steps in hospital procedures. For example, artificial intelligence tools can highlight problems with the treatment process, thereby improving patient care. Another solution is generative AI, which offers chatbots for conversational responses to patients.

When medical experts want to conduct a clinical trial, AI can help select the subjects by analysing their datasets and relevant medical information. Anyone needing training can sign up for AI-powered courses, where the tech reviews a user's progress and personalises the studies.

Finally, many innovative digital tools continue cropping up in the nation-state healthcare sector. For example, Singapore General Hospital (SGH) deployed a new AI tool to predict risks to patients before they undergo surgery. The tech evaluates the patient's medical history and tests to determine if operating is safe.

Challenges impacting the implementation of artificial intelligence

While AI has immense benefits, the sector faces challenges. The first is data privacy. As long as online platforms and digital tools are available, there will always be a significant risk of losing data. AI can access a lot of data and indiscriminately share it with third parties. More restrictions are necessary on collecting and sharing personally identifiable information.

Secondly, cybercriminals are using AI to break into firewalls and steal hospital data from servers. Stakeholders are also in uncharted waters with the tech advancements and need help to provide adequate regulation.

A third issue is the medical sector faces skilled labour shortages and workers needing more tech training. Finally, AI can have biases and discriminate against patients due to modelling and algorithms, raising ethical concerns.

Future trends in artificial intelligence in healthcare in Singapore

Artificial intelligence in healthcare is a game-changer for Singapore and the rest of Southeast Asia. Its generative AI solutions can help with chatbots and messaging, and its Big Data solutions can review large amounts of information in real-time and provide insights.

Obtaining funding from investors remains critical for many AI-powered startups in healthtech. The government is participating with funding from the Ministry of Health's National Medical Research Council (NMRC).

Hiring trained doctors and nurses familiar with healthcare technology will be more straightforward as recruiters learn more about leveraging AI to their benefit. AI can analyse CVs to identify the best candidates for the job or to identify positions that no longer serve a purpose. 

Ultimately, there must be a conversation about government regulations on AI and data security. Some may scoff at the safety and ethical concerns, but artificial intelligence tools are too powerful not to be monitored.

After resolving these issues, Singapore healthcare can become an example and a hub for the rest of the region. It will enable countries to collaborate, share their knowledge, and train tech workers. Handled correctly, AI will boost the nation-state's medical system and patient care.

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