February 26, 2024

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Potential of Artificial Intelligence to Bring Equity in Healthcare

Artificial Intelligence (AI) tools have been introduced to all areas including healthcare. AI is expected to have the potential to significantly improve existing technologies, sharpen personalised medicines, and benefit historically underserved populations with an influx of big data.

To harness the power of AI, the healthcare community must ensure that AI tools are trustworthy and they don’t end up perpetuating biases that exist in the current system. U.S. Researchers aim to create an initiative to support AI research in health care and build a robust infrastructure that can aid scientists and clinicians in pursuing this mission.

Thought leaders in academia, industry and government who are working to improve healthcare gathered to discuss the current state of AI adoption healthcare. The discussion includes new machine learning techniques that support fairness, personalisation, and inclusiveness, identifying key areas of impact in healthcare delivery, and discussing regulatory and policy implications.

The U.S. researcher received a grant to create a community platform supporting equitable AI tools in healthcare. The project’s ultimate goal is not to solve an academic question or reach a specific research benchmark, but to actually improve the lives of patients worldwide. The researchers insist that AI tools should not be designed with a single population in mind but instead be crafted to be reiterative and inclusive, to serve any community or subpopulation. The AI tool needs to be studied and validated across many populations, usually in multiple cities and countries.

This call to action is a response to health care in 2020. A U.S. Professor spoke on how health care providers typically prescribe treatments and why these treatments are often incorrect. Traditionally, a doctor collects information on their patient, then uses that information to create a treatment plan. The decisions providers make can improve the quality of patients’ lives or make them live longer, but this does not happen in a vacuum.

A complex web of forces can influence how a patient receives treatment. These forces go from being hyper-specific to universal, ranging from factors unique to an individual patient to bias from a provider, such as knowledge gleaned from flawed clinical trials to broad structural problems, like disproportionate access to care.

As machine learning researchers detect preexisting biases in the health care system, they must also address weaknesses in algorithms themselves. They must grapple with important questions that arise in all stages of development, from the initial framing of what the technology is trying to solve to overseeing deployment in the real world.

The researchers emphasised the importance of creating a large amount of data that is diverse at the same time. They are trying to train algorithms to be robust, private, fair, and high-quality and they require large-scale data sets for research use.

More U.S. organisations start to recognise the power of harnessing diverse data to create more equitable health care. For example, an unprecedented project from the National Institutes of Health aims to bridge the gap for historically under-recognised populations by collecting observational and longitudinal health data on over 1 million Americans. The database is meant to uncover how diseases present across different sub-populations.

Prescribing medications correctly to patients is a challenge for doctors and the traditional method is inadequate, therefore AI is urgently needed in this area. As reported by OpenGov Asia, U.S. Researchers developed a machine learning (ML) to detect medication errors thus help doctors to make better decisions and improve patient safety and quality of care.

Medication errors are a growing financial and healthcare burden that results in economic costs. Medication errors can occur during any stage of the medication process, including prescribing, dispensing, administration, and monitoring, with errors in prescribing accounting for 50% of the total. Hence, ML can provide insights on patterns and predictions to help doctors make data-driven decisions. For technology to assist in solving these problems, ML learning must understand these variables. For this to be successful, data must be properly collected, organised, and maintained.

PARTNER

Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.

PARTNER

CTC Global Singapore, a premier end-to-end IT solutions provider, is a fully owned subsidiary of ITOCHU Techno-Solutions Corporation (CTC) and ITOCHU Corporation.

Since 1972, CTC has established itself as one of the country’s top IT solutions providers. With 50 years of experience, headed by an experienced management team and staffed by over 200 qualified IT professionals, we support organizations with integrated IT solutions expertise in Autonomous IT, Cyber Security, Digital Transformation, Enterprise Cloud Infrastructure, Workplace Modernization and Professional Services.

Well-known for our strengths in system integration and consultation, CTC Global proves to be the preferred IT outsourcing destination for organizations all over Singapore today.

PARTNER

Planview has one mission: to build the future of connected work. Our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Planview’s full spectrum of Portfolio Management and Work Management solutions creates an organizational focus on the strategic outcomes that matter and empowers teams to deliver their best work, no matter how they work. The comprehensive Planview platform and enterprise success model enables customers to deliver innovative, competitive products, services, and customer experiences. Headquartered in Austin, Texas, with locations around the world, Planview has more than 1,300 employees supporting 4,500 customers and 2.6 million users worldwide. For more information, visit www.planview.com.

SUPPORTING ORGANISATION

SIRIM is a premier industrial research and technology organisation in Malaysia, wholly-owned by the Minister​ of Finance Incorporated. With over forty years of experience and expertise, SIRIM is mandated as the machinery for research and technology development, and the national champion of quality. SIRIM has always played a major role in the development of the country’s private sector. By tapping into our expertise and knowledge base, we focus on developing new technologies and improvements in the manufacturing, technology and services sectors. We nurture Small Medium Enterprises (SME) growth with solutions for technology penetration and upgrading, making it an ideal technology partner for SMEs.

PARTNER

HashiCorp provides infrastructure automation software for multi-cloud environments, enabling enterprises to unlock a common cloud operating model to provision, secure, connect, and run any application on any infrastructure. HashiCorp tools allow organizations to deliver applications faster by helping enterprises transition from manual processes and ITIL practices to self-service automation and DevOps practices. 

PARTNER

IBM is a leading global hybrid cloud and AI, and business services provider. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service.

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