With Singapore facing significant long-term pressures on its healthcare system driven by an increasingly ageing population, Health Minister Ong Ye Kung recently unveiled an ambitious vision for long-term healthcare reform in Parliament earlier this year, led by the Healthier SG initiative launched this month.
The proposed reform is rooted in preventative and proactive care, with Healthier SG poised to reduce the burden on traditional health institutions. For instance, hospitals embrace a more holistic and data-led approach to healthcare that suggests relevant screenings for all citizens, personalised health plans, and seamless cooperation across various healthcare institutions.
The success of this reform depends primarily on one crucial component: Data sharing-powered digital care, which enables more collaborative, effective, and efficient healthcare provision. By enabling seamless data sharing between health providers, they can identify at-risk individuals, provide community partners with critical insights to offer meaningful support and allow authorities to assess the impact of their initiatives.
Incorporating digital care provides a more holistic view of patient health, which can help prevent or more effectively manage chronic conditions. For example, data sharing between general practitioners and obstetricians will allow women with pre-diabetes, potentially at greater risk of developing gestational diabetes, to be identified easily, breaking silos associated with existing healthcare infrastructure.
Sustainable healthcare ecosystem
However, while this data-led approach has immense potential, the trust and buy-in of the general public determine its success. Public trust is not a given; memories of the 2018 SingHealth breaches, which compromised the personal data of 1.5 million patients, including the Prime Minister, are still on Singaporeans’ minds.
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Without public buy-in, the government’s vision of a proactive, data-driven healthcare system will fail to reach its true potential. Thus, building a robust data ecosystem that earns and maintains public trust is crucial. Three steps are key to achieving this:
Strict adherence to prevailing privacy and policies
At a foundational level, healthcare organisations must have processes that adhere to prevailing privacy and security laws. The key legislation to consider is the Personal Data Protection Act (PDPA), which sets out obligations for organisations regarding the collection, access, and protection of personal data and notification of data breaches. In addition to the PDPA, the Computer Misuse Act 1993 and the Cybersecurity Act 2018 are other general legislations to be mindful of as these cover offences involving unauthorised access or modification of computer material and unauthorised use or interception of computer services.
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While regulations provide a strong foundation to build public trust in a data-reliant initiative like Healthier SG, the real challenge lies in fostering an environment where consumers feel secure and motivated to contribute more of their data in exchange for insights voluntarily.
Encouraging voluntary data sharing through education
Education and transparency are crucial components of building this environment. To encourage consumers to share valuable information with healthcare systems, organisations should always communicate transparently how an individual’s data will be used. For instance, a fitness application could share how tracking sleep data can inform better lifestyle choices. A well-informed consumer is more likely to trust a company with their data, and transparency in how data is collected, used, and protected can significantly enhance this trust.
A recent study by customer engagement platform Twilio found that in Asia Pacific, consumers who fully understand how their data is being used are more than twice as likely to feel comfortable sharing all their data with a business compared to consumers who do not. The same study revealed that 64% are more willing to share personal data following a data breach if the company is transparent about the breach and takes necessary steps to address the situation, further emphasising the value of transparency.
However, collecting a wealth of consumer data is only half the battle won. Organisations need to be open to sharing this data with other players within the economy to reap the full potential of a digital-first healthcare ecosystem.
Embracing data sharing openness industry-wide
This entails fostering a culture of data sharing encompassing traditional health institutions and everyday healthcare providers like pharmacies and fitness centres. By sharing health data across this broad array of providers, we can achieve a holistic view of a patient’s health, paving the way for more accurate diagnoses, personalised treatments, and improved patient outcomes. For example, heart rate data of a recovering heart attack patient on a walk, collected by a smartwatch via a fitness app, would be valuable for a doctor administering follow-up care.
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Furthermore, integrating data from diverse sources can reveal patterns and correlations that may remain obscured when data is examined in isolation. These insights can be instrumental in predicting health trends, formulation of preventive care and enhancing overall healthcare delivery. With a shared vision, the data ecosystem is then elevated from a mere repository of information into a dynamic, insight-generating network.
Staying ahead
Health organisations handling sensitive data are vulnerable to cyberattacks, risking severe consequences on patient care and operations due to the nature of storing patient records and treatment plans. Attacks can disrupt electronic health records, leading to incorrect or delayed diagnoses and the inability to access critical patient information, posing potential life-threatening risks.
Healthcare institutions should seek to gain overall visibility across their entire environment in assets and activity. All these elements will contribute to mitigating the risk from threat actors.
Solutions like Security Information and Event Management (SIEM), Network Detection and Response (NDR), and User and Entity Behaviour Analytics (UEBA) offer critical defensive capabilities. SIEM systems provide instantaneous analysis of security alerts generated from vast volumes of healthcare data, enabling swift threat detection. Meanwhile, NDR solutions ensure the security of data transfers throughout the expansive healthcare network by continuously monitoring for suspicious, potentially harmful activity, while UEBA employs machine learning and statistical analysis to detect unusual user behaviour that deviates from established patterns, helping identify potential insider threats or compromised credentials.
Singapore’s healthcare reform is a promising venture towards a healthier future, enabled by cutting-edge technologies. However, this future can only be realised if a robust, trusted data-sharing ecosystem is established and maintained. By adopting these strategies, we can work towards a system that respects and safeguards patient data while harnessing its power for better healthcare.
Joanne Wong is the vice president for International Markets at LogRhythm
