The healthcare industry is rapidly evolving, and Artificial Intelligence (AI) is playing a major role in this transformation. AI technologies are being developed and adapted for a variety of specialized uses, offering the potential to reduce costs, facilitate the development of new products, and increase consumer participation. In this article, we explore how healthcare organizations can leverage AI to improve health data analysis and insights generation. AI has the potential to revolutionize healthcare by automating tasks and analyzing large patient data sets. This can help address some of the challenges faced by healthcare professionals, such as reducing the amount of time spent on administrative activities.
AI can also be used to optimize healthcare operations, predict the risk of hospital admission, detect certain cancers in time, and optimize research and development. Healthcare organizations should invest in AI to enable proactive management that results in cost savings and improved patient experience. According to a midpoint scenario, 15 percent of current working hours in the health sector are expected to be automated by 2050. This is especially important as the population ages and more people require complex care. Another approach to healthcare is to design an “architecture of choice” that anticipates patient behavior based on real-world evidence. Data architects are essential for recording, storing, and structuring clinical data so that algorithms can provide useful information.
Leaders in data governance and ethics also have an important role to play. AI is gaining traction in healthcare, with an increasing number of use cases and more sophisticated applications. However, there are still issues related to accountability, transparency, permissions, and privacy that need to be addressed.