AI and Predictive analytics poised to supercharge care in Singapore
Despite the obstacles to data utilization, healthcare leaders in Singapore are committed to using artificial intelligence (AI) and predictive analytics to extract the most value out of the information they have. 38% of Singaporean healthcare leaders are currently already investing heavily in AI, while more than three quarters (74%) predict it will become a top investment area within the next three years.
While the highest AI investment is currently for operational settings (16%), three years from now it is expected to grow within the area of clinical decision support (from 12% to 37%), which includes uses related to diagnosis or treatment recommendations, early warning scores, automatic disease detection and clinical decision guidelines. This is followed closely by investing in AI to integrate diagnostics (34%) and predict outcomes (32%).
Even as Singaporean healthcare leaders see AI as a key investment for the near future, many are already utilizing predictive analytics in some capacity. Almost half (45%) of their hospitals or healthcare facilities have already adopted the technology, with a similar figure (47%) currently in the process of doing so. This puts Singapore far ahead of other countries, with the percentage of those already working with predictive analytics (92%) almost twice as high as the European average (47%), as well as significantly higher than the global average (56%), the United States (66%) and China (79%).
As with AI adoption, predictive analytics are more likely to be used today in operational settings (87%), supporting tasks such as financial forecasting (26%), capacity planning (22%) and maintenance prediction (22%). However, when asked about the areas where their facilities could most benefit from predictive technologies, leaders are significantly more likely to indicate clinical uses (92%).