Artificial intelligence (AI) has the transformative potential to reimagine the healthcare industry, but this will have to be backed by a responsible AI framework that is supported by quality data, says Sachet.
“Healthcare organisations have the opportunity to use AI to boost productivity and automate back-office processes, allowing them even more time to apply AI towards improving patient health, such as reducing operational risks to provide safer patient care or using AI in patient diagnostics and treatment,” he says.
“However, one of the biggest challenges for healthcare providers will be in building a trusted, responsible and ethical AI framework, with a strong emphasis on data,” he says, highlighting the need for accurate and reliable data to drive meaningful results with AI.
Hence, instead of adopting a passive approach, businesses will need to make collaboration among stakeholders a priority to ensure that AI can be implemented responsibly. This will allow them to maximise healthcare outcomes while minimising risks.
Sachet acknowledges that the heterogeneity across Asia could be a key challenge which may hinder the widespread adoption of digital health solutions. Organisations may have to grapple with variations in data access, availability, representation, quality, and interoperability standards. They will also have to navigate different government regulations, social norms, and cultural practices, among other factors.
With this, he suggests co-designing solutions with clinicians and collaborating with the broader healthcare ecosystem, including policymakers, payors and providers, to address these challenges and enable wider implementation.
For instance, KPMG has been partnering with organisations in the medical technology (MedTech) industry to promote ASEAN data interoperability. Additionally, the firm has been working with various government ministries to support data harmonisation within and across borders.
In addition, Sachet underlines the importance of understanding diverse patient populations and their specific needs when developing innovative solutions. Ultimately, it is crucial to tailor solutions to address the specific challenges and preferences of the target market, so as to ensure alignment with existing care standards, while considering the broader healthcare ecosystem, including the needs of payors and clinicians.