In recent years, AI has permeated various aspects of everyday life, but its impact on healthcare has been hailed as revolutionary. Studies predict that by the end of 2026, 55% of healthcare organizations in the Asia Pacific region will have a data governance framework that prioritizes the ethical and understandable operate of AI.
The widespread anticipated operate of AI in healthcare can be attributed to its busy and proactive capabilities to optimize the treatment and care process for patients.
AI Opportunities in HealthTech
Artificial intelligence has the potential to streamline manual processes by automatically and quickly summarizing enormous amounts of healthcare data. As a result, AI can support optimize patient journeys by automatically generating precise information on waiting times, admission times, and treatment plans.
Overall, this approach can support patients manage their expectations while alleviating their anxiety regarding future doctor visits and treatments.
Many artificial intelligence tools, such as machine learning and natural language processing algorithms, can support healthcare systems analyze large data sets, discover patterns and generate actionable insights in real time.
This feature is crucial for the cybersecurity of sensitive medical data such as Electronic Medical Records (EMR). AI can not only detect threats in real time, but also predict potential security holes and recommend solutions.
AI-powered solutions are transforming healthcare across Asia Pacific
DOCC PAN is an AI-based platform developed by Samsung Medical Center (SMC) in South Korea that uses predictive modeling. Using DOCC PAN, staff can enter operational data in 30-minute intervals to estimate patient flow and reallocate staff during peak hours. In SMC’s crowded and busy blood collection room, implementing DOCC PAN significantly reduced patient wait times.
iAMS is comprehensive AI antibacterial platform recently implemented at China Medical University Hospital (CMUH). The four-in-one platform can operate AI to detect drug-resistant strains and predict and monitor the risk of infectious sepsis and mortality.
Since its inception, CMUH has benefited greatly from the platform’s ability to automatically compare drug interactions and allergy histories, allowing the hospital to learn and generate wise drug dosing recommendations.
Digital maturity can be maximized with the right network and leadership
To achieve comparable transformational digital maturity, healthcare providers must position themselves in environments that facilitate critical information sharing, collaboration, and expert guidance on the operate of AI in healthcare. Upcoming Innotech Conference is one example of such an environment.
This prestigious event will bring together leaders from the healthcare, government and technology sectors, as well as the broader medical community, to discuss the future of digital transformation in healthcare.
Guest of honour, Ong Ye Kung, Minister of Health of Singapore, will deliver the keynote address, outlining Singapore’s vision for the digital transformation of healthcare, as well as other achievements in digital healthcare.
In addition, there will be panel discussions with innovators and thought leaders such as Tan Bin RuPresident of Enterprise Digital at ST Engineering and healthcare futurist, Lucian Angelwill explore the operate of AI-based technology to improve healthcare systems.
The event’s discussions can inspire and equip attendees with practical insights into AI that will translate into meaningful advances that prioritize patient-centered care while ensuring a sustainable transformation of healthcare.
This InnoTech Conference will take place on September 3, 2024 from 11:30 a.m. to 3:30 p.m. on Marina Bay SandsFor more information about the event or to register, click Here.