SINGAPORE - Healthcare facilities and technology companies here are tapping artificial intelligence (AI) technology in the fight against the Covid-19 outbreak.
They include hospitals such as the National University Hospital (NUH) and Tan Tock Seng Hospital (TTSH), while several local tech firms' AI offerings are now being used in coronavirus mitigation.
According to the Infocomm Media Development Authority, AI refers to the study and use of intelligent machines to mimic human action and thought. It is associated with learning, problem solving and pattern recognition.
NUH and TTSH are using a clinical chat assistant smartphone app by Singapore AI startup Bot MD, which helps doctors and front-line healthcare workers stay abreast with the fast changing information around Covid-19.
The app uses AI to power its natural language interface and to extract clinical information from large swathes of content from different data sources.
Dr Jen Wei Ying, associate consultant at the Department of Haematology-Oncology at the National University Cancer Institute, Singapore, says: "Whether I am looking for Covid-19 clinical workflows, at how to contact the pandemic team or to keep up to date on our hospital's latest operational directives, I am able to search for and obtain all this information instantly on the Bot MD app."
She says the app's biggest value is in getting clinical information, whenever and wherever she needs it.
Bot MD was founded in 2018. Its app is currently used by 13,000 doctors in over 52 countries. Bot MD CEO and founder Dorothea Koh says: "Think of us like a Google Assistant or Apple Siri, but designed for busy healthcare professionals."
She says the app can be quickly trained on any hospital or clinical content and answer questions from medical staff. The content can come from hospitals, medical associations and the Ministry of Health (MOH).
"Whenever clinical staff need an answer to questions like who's on call or guidelines on hospital specific protocols, they can simply type a query (and the app) will instantly respond with the right answer. With our partner hospitals such as NUH and TTSH here in Singapore, we trained the AI on hospital-specific content such as hospital protocols, drug dosage information, drug formulary information, on-call rosters, disease guidelines, Covid-19 operational directives and the latest MOH circular updates," Ms Koh says.
AI is also being used at TTSH's new Command, Control and Communications (C3) system for healthcare, which was rolled out at the end of last year after two years of development.
Developed jointly by TTSH and MOH's IT arm, Integrated Health Information Systems (IHiS), the system provides real-time visibility of the hospital's ground operations - from the moment patients are admitted to the hospital to when they are discharged, while keeping track of resources such as hospital workers, beds, critical equipment including personal protective equipment and other supplies.
The system uses AI to predict situations before they occur - thus informing on how resources could be better allocated - and to provide insights for better decision-making.
Mr Bruce Liang, CEO of IHiS, says the system can predict future care demand and enables "autonomous decision-making with more than 600 pre-defined formulas".
He says: "(The system) helps us go beyond hindsight to foresight. During this Covid-19 situation where there is an escalating number of patients, speed and foresight is essential."
In early February, TTSH saw a surge in the attendance at its screening centre for Covid-19. This coincided with a rise in inpatient admissions at the National Centre for Infectious Diseases (NCID), which is located next to TTSH.
Guided by the C3 system, TTSH was able to pull together the manpower, equipment and other supporting resources to open five wards at NCID and strengthen support at its screening centre.
AI TEMPERATURE SCREENING AND CONTACT TRACING
AI is also used in temperature screening here. The IHiS and local medical tech start-up KroniKare have developed a solution called iThermo that uses AI to spot febrile people in a crowd, reducing the need for a manual process. It works even if people are wearing sunglasses, surgical masks or headgear.
The solution, which comprises a smartphone fitted with thermal and 3D laser cameras, is currently being piloted at the IHiS headquarters in Serangoon North and St Andrew's Community Hospital. On a blog post in late February on its website, KroniKare said that it has received over 200 inquiries across various industries, requesting for some 300 units.
A real-time contact tracing and communication system created by Singapore-based AI firm Sqreem Technologies is now being used by the South Africa government.
Sqreem, incorporated in Singapore in 2010 and now has about 130 staff, has a software called Channel Sqreem, which can track a person using his or her mobile device ID down to a five square metre grid. It does this without needing to know any personal information of the device owner.
Sqreem CEO and founder Ian Chapman-Banks, explains: "Once a person is found to have tested positive for Covid-19, all the health authorities need to do is to run the home and work addresses of the individual through Channel Sqreem."
The software would then use AI and machine learning models to automatically determine how many other devices that are carried by other people that had risky contact with that person over the previous 14 days.
Relevant agencies can then send messages in the form of advertisements to the next website or app the owner of the device browses or uses. These messages can be information on how to check for Covid-19 symptoms, local health support contact details or a message to contact local health authorities.
Channel Sqreem was rolled out in South Africa at end-March and has an accuracy of 90 per cent, according to Sqreem. Like other AI and machine learning solutions, its accuracy improves as its AI continues to learn and optimise itself.
The software is currently in use only in South Africa. Mr Chapman-Banks says the company is in talks with potential clients across Asia, Europe and the Middle East.
HOW AI HELPS
Many experts have said that AI is an effective technology to battle the Covid-19 pandemic. Ms Malina Platon, Asean managing director of New York-based AI firm UiPath, points to the use of AI in combination with automation technologies such as Robotic Process Automation (RPA).
RPA allows software - the "robot" - to mimic the actions of a human in digital systems. For instance, a software robot can watch and repeat what a person does in an application's graphical user interface. Ms Platon says RPA can collect vast amounts of data, such as patient records, and feed it into the AI algorithms which can then help doctors and healthcare professionals make quicker and better decisions.
In January this year, London-based AI firm BenevolentAI used its extensive scientific literature and bio-medical research data to look for links between Sars-CoV-2, the virus that causes the Covid-19 disease, and potential effective drugs against it. The firm found a drug called Baricitinib, which could potentially slow down the effects of the coronavirus. The drug is currently undergoing clinical trials.
Mr Mike Davie, CEO of data and technology firm Quadrant, says: "Unlike the Spanish flu pandemic or even Sars, today we are generating masses of data that we can pump into AI algorithms that could help forestall or even prevent another pandemic of this kind."
He pointed to how location data can be used in combination with other types of data to uncover previously unknown insights.
"For example, we know that the severity of Covid-19 in part depends on viral load and dosage. And so marrying medical data (such as chest X-ray results) with location data, we may be able to uncover hotspots where people contract the virus more seriously," he says.
Mr Liu Feng-Yuan, CEO and co-founder of local AI start-up BasisAI, however cautions that AI has to be used in combination with other pandemic-fighting efforts. "It's not a single answer to the challenging situation that we are faced with. Technology alone will not help us do away with the underlying conditions necessary for a successful battle against Covid-19," he says.
But with the right systems and checks in place, Mr Liu says AI will provide public health officials with more accurate overviews of patterns.